Altered States of the Imagination

Part VI - Altered States of the Imagination

Published online by Cambridge University Press: 26 May 2020

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Anna Abraham

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Anna Abraham: Affiliation:
University of Georgia

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Information: The Cambridge Handbook of the Imagination , pp. 657 - 814

DOI: https://doi.org/10.1017/9781108580298 [Opens in a new window]

Publisher: Cambridge University Press

Print publication year: 2020

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References

Bibliography

Antrobus, J., Hartwig, P., Rosa, D., Reinsel, R., and Fein, G. (1987). Brightness and Clarity of REM and NREM Imagery: Photo Response Scale. Sleep Research, 16(1958), 240.Google Scholar

Baird, B., Mota-Rolim, S. A., and Dresler, M. (2019). The Cognitive Neuroscience of Lucid Dreaming. Neuroscience & Biobehavioral Reviews, 100, 305–323.CrossRef Google Scholar PubMed

Blagrove, M., Henley-Einion, J., Barnett, A., Edwards, D., and Seage, C. H. (2011). A Replication of the 5–7 Day Dream-Lag Effect with Comparison of Dreams to Future Events as Control for Baseline Matching. Consciousness and Cognition, 20(2), 384–391.CrossRef Google Scholar PubMed

Blagrove, M., and Pace-Schott, E. F. (2010). Trait and Neurobiological Correlates of Individual Differences in Dream Recall and Dream Content. International Review of Neurobiology, 92, 155–180.Google Scholar

Brooks, J. E., and Vogelsong, J. A. (2000). The Conscious Exploration of Dreaming: Discovering How We Create and Control our Dreams. Bloomington, IN: 1st Books Library.Google Scholar

Cheyne, J. A., and Girard, T. A. (2007). Paranoid Delusions and Threatening Hallucinations: A Prospective Study of Sleep Paralysis Experiences. Consciousness and Cognition, 16(4), 959–974.Google Scholar

Christoff, K., Irving, Z. C., Fox, K. C. R., Spreng, R. N., and Andrews-Hanna, J. R. (2016). Mind-Wandering as Spontaneous Thought: A Dynamic Framework. Nature Reviews Neuroscience, 17(11), 718–731.CrossRef Google Scholar PubMed

Dement, W., and Kleitman, N. (1957). The Relation of Eye Movements during Sleep to Dream Activity: An Objective Method for the Study of Dreaming. Journal of Experimental Psychology, 53(5), 339.Google Scholar

Dennett, D. C. (1976). Are Dreams Experiences? The Philosophical Review, 85(2), 151–171.Google Scholar

Desseilles, M., Dang-Vu, T. T., Sterpenich, V., and Schwartz, S. (2011). Cognitive and Emotional Processes during Dreaming: A Neuroimaging View. Consciousness and Cognition, 20(4), 998–1008.Google Scholar

Domhoff, G. W. (2013). Finding Meaning in Dreams: A Quantitative Approach. New York, NY: Springer Science & Business Media.Google Scholar

Fosse, R., Stickgold, R., and Hobson, J. A. (2004). Thinking and Hallucinating: Reciprocal Changes in Sleep. Psychophysiology, 41(2), 298–305.Google Scholar

Foulkes, D. (2009). Children’s Dreaming and the Development of Consciousness. Cambridge, MA: Harvard University Press.CrossRef Google Scholar

Fox, K. C., Nijeboer, S., Solomonova, E., Domhoff, G. W., and Christoff, K. (2013). Dreaming as Mind Wandering: Evidence from Functional Neuroimaging and First-Person Content Reports. Frontiers in Human Neuroscience, 7, 412.Google Scholar

Hobbes, T. (1651/2006). Leviathan. London, UK: A. & C. Black.Google Scholar

Hobson, J. A. (1999). Dreaming as Delirium: How the Brain Goes out of Its Mind. Cambridge, MA: MIT Press.Google Scholar

Hobson, J. A., Pace-Schott, E. F., and Stickgold, R. (2000). Dreaming and the Brain: Toward a Cognitive Neuroscience of Conscious States. Behavioral and Brain Sciences, 23(6), 793–842.Google Scholar

Horikawa, T., Tamaki, M., Miyawaki, Y., and Kamitani, Y. (2013). Neural Decoding of Visual Imagery during Sleep. Science, 340(6132), 639–642.Google Scholar

Ichikawa, J. (2009). Dreaming and Imagination. Mind & Language, 24(1), 103–121.CrossRef Google Scholar

Ichikawa, J.(2016). Imagination, Dreaming, and Hallucination. In Kind, A (ed.), The Routledge Handbook of Philosophy of Imagination. London, UK; New York, NY: Routledge, 149–162.Google Scholar

Irving, Z. C. (2016). Mind-Wandering Is Unguided Attention: Accounting for the “Purposeful” Wanderer. Philosophical Studies, 173(2), 547–571.Google Scholar

Kerr, N. H. (1993). Mental Imagery, Dreams, and Perception. In Cavallero, C and Foulkes, D (eds.), Dreaming as Cognition. New York, NY: Harvester Wheatsheaf, 18–37.Google Scholar

Kind, A. (2013). The Heterogeneity of the Imagination. Erkenntnis, 78(1), 141–159.Google Scholar

LaBerge, S., Baird, B., and Zimbardo, P. G. (2018). Smooth Tracking of Visual Targets Distinguishes Lucid REM Sleep Dreaming and Waking Perception from Imagination. Nature Communications, 9(1), 3298.CrossRef Google Scholar PubMed

LaBerge, S., and Ornstein, S. (1985). Lucid Dreaming. Los Angeles, CA: J. P. Tarcher.Google Scholar

Leibniz, G. (1956). Philosophical Papers and Letters. Volumes 1 and 2. Edited and translated by Loemker, L. E.. Chicago, IL: University of Chicago Press.Google Scholar

Liao, S., and Gendler, T. (2019). Imagination. In Zalta, E. N. (ed.), The Stanford Encyclopedia of Philosophy (Spring). plato.stanford.edu/archives/spr2019/entries/imagination/.Google Scholar

Malcolm, N. (1959). Dreaming. London, UK: Routledge & Kegan Paul.Google Scholar

Metzinger, T. (2009). The Ego Tunnel: The Science of the Mind and the Myth of the Self. New York, NY: Basic Books (AZ).Google Scholar

Nielsen, T. A. (1993). Changes in the Kinesthetic Content of Dreams following Somatosensory Stimulation of Leg Muscles during REM Sleep. Dreaming, 3(2), 99.Google Scholar

Nielsen, T. A.(2000). A Review of Mentation in REM and NREM Sleep: “Covert” REM Sleep as a Possible Reconciliation of Two Opposing Models. Behavioral and Brain Sciences, 23(6), 851–866.Google Scholar

Nielsen, T. A.(2017). Microdream Neurophenomenology. Neuroscience of Consciousness, 2017(1), nix001.Google Scholar

Nielsen, T. A., and Powell, R. A. (1989). The “Dream-Lag” Effect: A 6-Day Temporal Delay in Dream Content Incorporation. Psychiatric Journal of the University of Ottawa, 14(4), 561–565.Google Scholar

Nielsen, T. A., and Stenstrom, P. (2005). What Are the Memory Sources of Dreaming? Nature, 437(7063), 1286–1289.Google Scholar

Nir, Y., and Tononi, G. (2010). Dreaming and the Brain: From Phenomenology to Neurophysiology. Trends in Cognitive Sciences, 14(2), 88–100.CrossRef Google Scholar PubMed

Noreika, V., Valli, K., Lahtela, H., and Revonsuo, A. (2009). Early-Night Serial Awakenings as a New Paradigm for Studies on NREM Dreaming. International Journal of Psychophysiology, 74(1), 14–18.CrossRef Google Scholar PubMed

Pagel, J. F., Blagrove, M., Levin, R., Stickgold, B., and White, S. (2001). Definitions of Dream: A Paradigm for Comparing Field Descriptive Specific Studies of Dream. Dreaming, 11(4), 195–202.Google Scholar

Rechtschaffen, A., and Buchignani, C. (1983). Visual Dimensions and Correlates of Dream Images. Sleep Research, 12(189).Google Scholar

Revonsuo, A. (2000). The Reinterpretation of Dreams: An Evolutionary Hypothesis of the Function of Dreaming. Behavioral and Brain Sciences, 23(6), 877–901.Google Scholar

Revonsuo, A.(2005). The Self in Dreams. In Feinberg, T. E. and Keenan, J. P. (eds.), The Lost Self: Pathologies of the Brain and Identity. Oxford, UK: Oxford University Press, 206–219.Google Scholar

Revonsuo, A.(2006). Inner Presence: Consciousness as a Biological Phenomenon. Cambridge, MA: MIT Press.Google Scholar

Revonsuo, A., Tuominen, J., and Valli, K. (2015). The Avatars in the Machine: Dreaming as a Simulation of Social Reality. In Metzinger, T and Windt, J. M. (eds.), Open MIND. Frankfurt am Main, Germany: MIND Group.Google Scholar

Rosen, M. G. (2018). How Bizarre? A Pluralist Approach to Dream Content. Consciousness and Cognition, 62, 148–162.Google Scholar

Rosen, M. G.(2019). Dreaming of a Stable World: Vision and Action in Sleep. Synthese, 1–36. doi:10.1007/s11229-019-02149-1.Google Scholar

Ryle, G. (2009). The Concept of Mind. Abingdon, UK: Routledge.Google Scholar

Sauvageau, A., Nielsen, T. A., and Montplaisir, J. (1998). Effects of Somatosensory Stimulation on Dream Content in Gymnasts and Control Participants: Evidence of Vestibulomotor Adaptation in REM Sleep. Dreaming, 8(2), 125.Google Scholar

Schmidt, R. E., and Gendolla, G. H. (2008). Dreaming of White Bears: The Return of the Suppressed at Sleep Onset. Consciousness and Cognition, 17(3), 714–724.Google Scholar

Schönhammer, R. (2004). Fliegen, fallen, flüchten: Psychologie intensiver Träume. Tübingen, Germany: Dgvt-Verlag.Google Scholar

Schönhammer, R.(2005). “Typical Dreams”: Reflections of Arousal. Journal of Consciousness Studies, 12(4–5), 18–37.Google Scholar

Schredl, M. (2006). Factors Affecting the Continuity between Waking and Dreaming: Emotional Intensity and Emotional Tone of the Waking-Life Event. Sleep and Hypnosis, 8(1), 1.Google Scholar

Schwartz, S. (2000). A Historical Loop of One Hundred Years: Similarities between 19th Century and Contemporary Dream Research. Dreaming, 10(1), 55.CrossRef Google Scholar

Seli, P., Risko, E. F., Smilek, D., and Schacter, D. L. (2016). Mind-Wandering with and without Intention. Trends in Cognitive Sciences, 20(8), 605–617.Google Scholar

Siclari, F., LaRocque, J. J., Postle, B. R., and Tononi, G. (2013). Assessing Sleep Consciousness within Subjects Using a Serial Awakening Paradigm. Frontiers in Psychology, 4, 542.Google Scholar

Siclari, F., and Tononi, G. (2017). Local Aspects of Sleep and Wakefulness. Current Opinion in Neurobiology, 44, 222–227.Google Scholar

Smallwood, J., and Schooler, J. W. (2015). The Science of Mind Wandering: Empirically Navigating the Stream of Consciousness. Annual Review of Psychology, 66(1), 487–518.Google Scholar

Solms, M. (2014). The Neuropsychology of Dreams: A Clinico-Anatomical Study. New York, NY: Psychology Press.Google Scholar

Sosa, E. (2007). A Virtue Epistemology: Apt Belief and Reflective Knowledge. Volume 1. Oxford, UK: Oxford University Press.Google Scholar

Strauch, I., and Meier, B. (1996). In Search of Dreams: Results of Experimental Dream Research. Albany, NY: SUNY Press.Google Scholar

Stumbrys, T., Erlacher, D., Johnson, M., and Schredl, M. (2014). The Phenomenology of Lucid Dreaming: An Online Survey. The American Journal of Psychology, 127(2), 191–204.CrossRef Google Scholar PubMed

Suddendorf, T., Addis, D. R., and Corballis, M. C. (2009). Mental Time Travel and the Shaping of the Human Mind. Philosophical Transactions of the Royal Society B: Biological Sciences, 364(1521), 1317–1324.CrossRef Google Scholar PubMed

Sutton, J. (2010). Carelessness and Inattention: Mind-Wandering and the Physiology of Fantasy from Locke to Hume. In Wolfe, C. T. and Gale, O (eds.), The Body as Object and Instrument of Knowledge: Embodied Empiricism in Early Modern Science. Dordrecht, Netherlands: Springer, 243–263.Google Scholar

Thomas, N. J. T. (2018). Mental Imagery. In Zalta, E. N. (ed.), The Stanford Encyclopedia of Philosophy (Spring). plato.stanford.edu/archives/spr2018/entries/mental-imagery/.Google Scholar

Valli, K., and Revonsuo, A. (2009). The Threat Simulation Theory in Light of Recent Empirical Evidence: A Review. The American Journal of Psychology, 122(1), 17–38.CrossRef Google Scholar PubMed

van Rijn, E., Eichenlaub, J.-B., Lewis, P. A., et al. (2015). The Dream-Lag Effect: Selective Processing of Personally Significant Events during Rapid Eye Movement Sleep, but Not during Slow Wave Sleep. Neurobiology of Learning and Memory, 122, 98–109.CrossRef Google Scholar PubMed

Voss, U., and Hobson, A. (2015). What is the State-of-the-Art on Lucid Dreaming? Recent Advances and Questions for Future Research. In Metzinger, T and Windt, J. M. (eds.), Open MIND. Frankfurt am Main, Germany: MIND Group.Google Scholar

Voss, U., Schermelleh-Engel, K., Windt, J. M., Frenzel, C., and Hobson, A. (2013). Measuring Consciousness in Dreams: The Lucidity and Consciousness in Dreams Scale. Consciousness and Cognition, 22(1), 8–21.Google Scholar

Windt, J. M. (2010). The Immersive Spatiotemporal Hallucination Model of Dreaming. Phenomenology and the Cognitive Sciences, 9(2), 295–316.Google Scholar

Windt, J. M.(2013). Reporting Dream Experience: Why (Not) to Be Skeptical about Dream Reports. Frontiers in Human Neuroscience, 7, 708.Google Scholar

Windt, J. M.(2015a). Dreaming: A Conceptual Framework for Philosophy of Mind and Empirical Research. Cambridge, MA: MIT Press.Google Scholar

Windt, J. M.(2015b). Just in Time – Dreamless Sleep Experience as Pure Subjective Temporality. In Metzinger, T and Windt, J. M. (eds.), Open MIND. Frankfurt am Main, Germany: MIND Group.Google Scholar

Windt, J. M.(2017). Predictive Brains, Dreaming Selves, Sleeping Bodies: How the Analysis of Dream Movement Can Inform a Theory of Self- and World-Simulation in Dreams. Synthese, 195(6), 2577–2625.Google Scholar

Windt, J. M.(2018). Consciousness and Dreams: From Self-Simulation to the Simulation of a Social World. In Gennaro, R. J. (ed.), The Routledge Handbook of Consciousness. New York, NY: Routledge, 420–435.Google Scholar

Windt, J. M., Nielsen, T., and Thompson, E. (2016). Does Consciousness Disappear in Dreamless Sleep? Trends in Cognitive Sciences, 20(12), 871–882.Google Scholar

Windt, J. M., and Voss, U. (2018). Spontaneous Thought, Insight, and Control in Lucid Dreams. In Fox, K. C. R. and Christoff, K (eds.), The Oxford Handbook of Spontaneous Thought: Mind-Wandering, Creativity, and Dreaming. New York, NY: Oxford University Press, 385–410.Google Scholar

Zeidman, P., and Maguire, E. A. (2016). Anterior Hippocampus: The Anatomy of Perception, Imagination and Episodic Memory. Nature Reviews. Neuroscience, 17(3), 173–182.Google Scholar

References

Abraham, A. (2013). The World According to Me: Personal Relevance and the Medial Prefrontal Cortex. Frontiers in Human Neuroscience, 7, 341–344.Google Scholar

Abraham, A.(2016). The Imaginative Mind. Human Brain Mapping, 37, 4197–4211.CrossRef Google Scholar PubMed

Andrews-Hanna, J., Reidler, J., Sepulcre, J., Poulin, R., and Buckner, R. (2010). Functional-Anatomic Fractionation of the Brain’s Default Network. Neuron, 65, 550–562.Google Scholar

Andrews-Hanna, J., Smallwood, J., and Spreng, R. (2014). The Default Network and Self-Generated Thought: Component Processes, Dynamic Control, and Clinical Relevance. Annals of the New York Academy of Science, 1316, 29–52.Google Scholar

Bauer, P. (2013). Memory. In Zelazo, P (ed.), The Oxford Handbook of Developmental Psychology (Volume 1): Body and Mind. New York, NY: Oxford University Press, 503–541.Google Scholar

Baylor, G., and Cavallero, C. (2001). Memory Sources Associated with REM and NREM Dream Reports throughout the Night: A New Look at the Data. Sleep, 24, 165–170.Google Scholar

Beaty, R. E., Silvia, P. J., and Benedek, M. (2017). Brain Networks Underlying Novel Metaphor Production. Brain and Cognition, 111, 163–170.Google Scholar

Blagrove, M. (1992). Dreams as a Reflection of Our Waking Concerns and Abilities: A Critique of the Problem-Solving Paradigm in Dream Research. Dreaming, 2, 205–220.Google Scholar

Blagrove, M.(1996). Problems with the Cognitive Psychological Modeling of Dreaming. Journal of Mind and Behavior, 17, 99–134.Google Scholar

Blagrove, M.(2000). Dreams Have Meaning but No Function. Behavioral and Brain Sciences, 23, 910.Google Scholar

Blake, Y., Terburg, D., Balchin, R., Morgan, B., van Honk, J., and Solms, M. (2019). The Role of the Basolateral Amygdala in Dreaming. Cortex, 113, 169–183.Google Scholar

Bulkeley, K. (2014). Digital Dream Analysis: A Revised Method. Consciousness and Cognition, 29, 159–170.Google Scholar

Cicogna, P., Natale, V., Occhionero, M., and Bosinelli, M. (1998). A Comparison of Mental Activity during Sleep Onset and Morning Awakening. Sleep, 21(5), 462–470.Google Scholar

Curot, J., Valton, L., Denuelle, M., et al. (2018). Déjà-rêvé: Prior Dreams Induced by Direct Electrical Brain Stimulation. Brain Stimulation, 11(4), 875–885.Google Scholar

Desjardins, S., and Zadra, A. (2006). Is the Threat Simulation Theory Threatened by Recurrent Dreams? Consciouness and Cognition, 15, 470–474.Google Scholar

Domhoff, G. W. (1996). Finding Meaning in Dreams: A Quantitative Approach. New York, NY: Plenum.Google Scholar

Domhoff, G. W.(2003). The Scientific Study of Dreams: Neural Networks, Cognitive Development, and Content Analysis. Washington, DC: American Psychological Association.CrossRef Google Scholar

Domhoff, G. W.(2015). Dreaming as Embodied Simulation: A Widower Dreams of his Deceased Wife. Dreaming, 25, 232–256.Google Scholar

Domhoff, G. W. (2018). The Emergence of Dreaming: Mind-Wandering, Embodied Simulation, and the Default Network. New York, NY: Oxford University Press.Google Scholar

Domhoff, G. W., and Schneider, A. (1999). Much Ado about Very Little: The Small Effect Sizes When Home and Laboratory Collected Dreams Are Compared. Dreaming, 9, 139–151.Google Scholar

Domhoff, G. W., and Schneider, A. (2008). Similarities and Differences in Dream Content at the Cross-Cultural, Gender, and Individual Levels. Consciousness and Cognition, 17, 1257–1265.Google Scholar

Domhoff, G. W., and Schneider, A. (2015). Assessing Autocorrelation in Studies using the Hall and van de Castle Coding System to Study Individual Dream Series. Dreaming, 25, 70–79.CrossRef Google Scholar

Domhoff, G. W., and Schneider, A. (2018). Are Dreams Social Simulations? Or Are They Enactments of Conceptions and Personal Concerns? An Empirical and Theoretical Comparison of Two Dream Theories. Dreaming, 28, 1–23.Google Scholar

Dorus, E., Dorus, W., and Rechtschaffen, A. (1971). The Incidence of Novelty in Dreams. Archives of General Psychiatry, 25, 364–368.Google Scholar

Fair, D., Cohen, A. L., Dosenbach, N., et al. (2008). The Maturing Architecture of the Brain’s Default Network. Proceedings of the National Academy of Sciences, 105, 4028–4032.Google Scholar

Fiss, H., Ellman, S. J., and Klein, G. S. (1969). Waking Fantasies following Interrupted and Completed REM Periods. Archives of General Psychiatry, 21(2), 230–239.Google Scholar

Fosse, R., Hobson, J. A., and Stickgold, R. (2003). Dreaming and Episodic Memory: A Functional Dissociation? Journal of Cognitive Neuroscience, 15, 1–9.Google Scholar

Fosse, R., Stickgold, R., and Hobson, J. A. (2001). The Mind in REM Sleep: Reports of Emotional Experience. Sleep, 24, 947–955.Google Scholar

Foulkes, D. (1982). Children’s Dreams: Longitudinal Studies. New York, NY: Wiley.Google Scholar

Foulkes, D. (1985). Dreaming: A Cognitive-Psychological Analysis. Hillsdale, NJ: Erlbaum.Google Scholar

Foulkes, D. (1993). Data Constraints on Theorizing about Dream Function. In Moffitt, A, Kramer, M and Hoffmann, R (eds.), The Functions of Dreaming. Albany, NY: State University of New York Press, 11–20.Google Scholar

Foulkes, D. (1999). Children’s Dreaming and the Development of Consciousness. Cambridge, MA: Harvard University Press.Google Scholar

Foulkes, D. (2017). Dreaming, Reflective Consciousness, and Feelings in the Preschool Child. Dreaming, 27, 1–13.Google Scholar

Foulkes, D., and Domhoff, G. W. (2014). Bottom-Up or Top-Down in Dream Neuroscience? A Top-Down Critique of Two Bottom-Up Studies. Consciousness and Cognition, 27, 168–171.Google Scholar

Foulkes, D., and Fleisher, S. (1975). Mental Activity in Relaxed Wakefulness. Journal of Abnormal Psychology, 84, 66–75.Google Scholar

Foulkes, D., Hollifield, M., Sullivan, B., Bradley, L., and Terry, R. (1990). REM Dreaming and Cognitive Skills at Ages 5–8: A Cross-Sectional Study. International Journal of Behavioral Development, 13, 447–465.Google Scholar

Foulkes, D., Sullivan, B., Hollifield, M., and Bradley, L. (1989). Mental Rotation, Age, and Conservation. Journal of Genetic Psychology, 150, 449–451.Google Scholar

Foulkes, D., and Vogel, G. (1965). Mental Activity at Sleep Onset. Journal of Abnormal Psychology, 70, 231–243.CrossRef Google Scholar PubMed

Fox, K. (2018). Neural Origins of Self-Generated Thought: Insights from Intracranial Electrical Stimulations and Recordings in Humans. In Fox, K and Christoff, K (eds.), Handbook of Spontaneous Thought: Mind-Wandering, Creativity, and Dreaming. New York, NY: Oxford University Press, 165–179.Google Scholar

Fox, K., Nijeboer, S., Solomonova, E., Domhoff, G. W., and Christoff, K. (2013). Dreaming as Mind Wandering: Evidence from Functional Neuroimaging and First-Person Content Reports. Frontiers in Human Neuroscience, 7, article 412, 1–18. doi:10.3389/fnhum.2013.00412. eCollection 02013.Google Scholar

Fox, K., Spreng, R., Ellamila, M., Andrews-Hanna, J., and Christoff, K. (2015). The Wandering Brain: Meta-Analysis of Functional Neuroimaging Studies of Mind-Wandering and Related Spontaneous Thought Processes. NeuroImage, 111, 611–621.Google Scholar

Germain, A., Jeffrey, J., Salvatore, I., et al. (2013). A Window into the Invisible Wound of War: Functional Neuroimaging of REM Sleep in Returning Combat Veterans with PTSD. Psychiatry Research: Neuroimaging, 211, 176–179.Google Scholar

Gibbs, R. (2014). Conceptual Metaphor in Thought and Social Action. In Landau, M, Robinson, M, and Meier, B (eds.), The Power of Metaphor: Examining its Influence on Social Life. Washington, DC: American Psychological Association, 17–40.Google Scholar

Gopnik, A. (2009). The Philosophical Baby: What Children’s Minds Tell us About Truth, Love, and the Meaning of Life. New York, NY: Farrar, Straus, and Giroux.Google Scholar

Hall, C. (1951). What People Dream About. Scientific American, 184, 60–63.Google Scholar

Hall, C., Domhoff, G. W., Blick, K., and Weesner, K. (1982). The Dreams of College Men and Women in 1950 and 1980: A Comparison of Dream Contents and Sex Differences. Sleep, 5, 188–194.Google Scholar

Hall, C., and van de Castle, R. (1966). The Content Analysis of Dreams. New York, NY: Appleton-Century-Crofts.Google Scholar

Han, H. (2014). Structural and Longitudinal Analysis of Cognitive Social Networks in Dreams. West Lafayette, IN: Purdue University Unpublished PhD Dissertation.Google Scholar

Han, H., Schweickert, R., Xi, Z., and Viau-Quesnela, C. (2015). The Cognitive Social Network in Dreams: Transitivity, Assortativity, and Giant Component Proportion Are Monotonic. Cognitive Science, doi:10.1111/cogs.12244.Google Scholar

Hori, T., Hayashi, M., and Morikawa, T. (1994). Topographic EEG Changes and the Hypnagogic Experience. In Ogilvie, R and Harsh, J (eds.), Sleep Onset: Normal and Abnormal Processes. Washington, DC: American Psychological Association, 237–253.Google Scholar

Hurovitz, C., Dunn, S., Domhoff, G. W., and Fiss, H. (1999). The Dreams of Blind Men and Women: A Replication and Extension of Previous Findings. Dreaming, 9, 183–193.Google Scholar

Jenkins, A., and Mitchell, J. (2011). Medial Prefrontal Cortex Subserves Diverse Forms of Self-Reflection. Social Neuroscience, 6, 211–218.Google Scholar

Kerr, N. (1993). Mental Imagery, Dreams, and Perception. In Foulkes, D and Cavallero, C (eds.), Dreaming as Cognition. New York, NY: Harvester Wheatsheaf, 18–37.Google Scholar

Kerr, N., Foulkes, D., and Jurkovic, G. (1978). Reported Absence of Visual Dream Imagery in a Normally Sighted Subject with Turner’s Syndrome. Journal of Mental Imagery, 2, 247–264.Google Scholar

LeDoux, J. (2019). The Deep History of Ourselves: The Four-Billion Year Story of How We Got Conscious Brains. New York, NY: Viking Press.Google Scholar

Madsen, P. L., Schmidt, F., Wildschidtz, G., et al. (1991). Cerebral O2 Metabolism and Cerebral Blood Flow in Humans during Sleep and Rapid-Eye-Movement Sleep. Journal of Applied Physiology, 70, 2597–2601.Google Scholar

Marquis, L.-P., Paquette, T., Blanchette-Carrière, C., Dumel, G., and Nielsen, T. (2017). REM Sleep Theta Changes in Frequent Nightmare Recallers. Sleep, 40, 1–12.Google Scholar

Nelson, K. (2007). Young Minds in Social Worlds: Experience, Meaning, and Memory. Cambridge, MA: Harvard University Press.Google Scholar

Pace-Schott, E. (2003). Postscript: Recent Findings on the Neurobiology of Sleep and Dreaming. In Pace-Schott, E, Solms, M, Blagrove, M, and Harnad, S (eds.), Sleep and Dreaming: Scientific Advances and Reconsiderations. New York, NY: Cambridge University Press, 335–350.Google Scholar

Pesant, N., and Zadra, A. (2006). Dream Content and Psychological Well-Being: A Longitudinal Study of the Continuity Hypothesis. Journal of Clinical Psychology, 62(1), 111–121.Google Scholar

Pivik, R. T., and Foulkes, D. (1968). NREM Mentation: Relation to Personality, Orientation Time, and Time of Night. Journal of Consulting and Clinical Psychology, 32, 144–151.Google Scholar

Pyszczynski, T., and Taylor, J. (2016). When The Buffer Breaks: Disrupted Terror Management in Posttrauamtic Stress Disorder. Current Directions in Psychological Science, 25, 286–290.Google Scholar

Reese, E. (2013). Culture, Narrative, and Imagination. In Taylor, M (ed.), The Oxford Handbook of the Development of Imagination. Oxford, UK; New York, NY: Oxford University Press, 196–211.Google Scholar

Reinsel, R., Antrobus, J., and Wollman, M. (1992). Bizarreness in Dreams and Waking Fantasy. In Antrobus, J. S. and Bertini, M (eds.), The Neuropsychology of Sleep and Dreaming. Hillsdale, NJ: Erlbaum, 157–184.Google Scholar

Revonsuo, A., and Salmivalli, C. (1995). A Content Analysis of Bizarre Elements in Dreams. Dreaming, 5, 169–187.Google Scholar

Rosenthal, R., and Ambady, N. (1995). Experimenter Effects. In Manstead, A and Hewstone, M (eds.), Encyclopedia of Social Psychology. Oxford, UK: Blackwell, 230–235.Google Scholar

Roussy, F., Brunette, M., Mercier, P., et al. (2000). Daily Events and Dream Content: Unsuccessful Matching Attempts. Dreaming, 10, 77–83.Google Scholar

Roussy, F., Camirand, C., Foulkes, D., et al. (1996). Does Early-Night REM Dream Content Reliably Reflect Presleep State of Mind? Dreaming, 6, 121–130.Google Scholar

Sacks, O. (2013). Hallucinations. New York, NY: Knopf.Google Scholar

Sämann, P., Wehrle, R., Hoehn, D., et al. (2011). Development of the Brain’s Default Mode Network from Wakefulness to Slow Wave Sleep. Cerebral Cortex, 21, 2082–2093.Google Scholar

Sato, J. R., Salum, G. A., Gadelha, A., et al. (2014). Age Effects on the Default Mode and Control Networks in Typically Developing Children. Journal of Psychiatric Research, 58, 89–95.Google Scholar

Schacter, D., Addis, D., and Buckner, R. (2008). Episodic Simulation of Future Events: Concepts, Data, and Applications. Annals of the New York Academy of Sciences, 1124, 39–60.Google Scholar

Sherman, L. E., Rudie, J. D., Pfeifer, J. H., et al. (2014). Development of the Default Mode and Central Executive Networks across Early Adolescence: A Longitudinal Study. Developmental Cognitive Neuroscience, 10, 148–159.CrossRef Google Scholar PubMed

Snyder, F. (1970). The Phenomenology of Dreaming. In Madow, L and Snow, L (eds.), The Psychodynamic Implications of the Physiological Studies on Dreams. Springfield, IL: Thomas, 124–151.Google Scholar

Solms, M. (1997). The Neuropsychology of Dreams: A Clinico-Anatomical Study. Hillsdale, NJ: Erlbaum.Google Scholar

Stickgold, R., Scott, L., Rittenhouse, C., and Hobson, J. A. (1999). Sleep-Induced Changes in Associative Memory. Journal of Cognitive Neuroscience, 11, 182–193.Google Scholar

Strauch, I. (2005). REM Dreaming in the Transition from Late Childhood to Adolescence: A Longitudinal Study. Dreaming, 15, 155–169.Google Scholar

Strauch, I., and Lederbogen, S. (1999). The Home Dreams and Waking Fantasies of Boys and Girls Ages 9–15. Dreaming, 9, 153–161.Google Scholar

Strauch, I., and Meier, B. (1996). In Search of Dreams: Results of Experimental Dream Research. Albany, NY: State University of New York Press.Google Scholar

Suddendorf, T., and Dong, A. (2013). On the Evolution of Imagination and Design. In Taylor, M (ed.), The Oxford Handbook of the Development of Imagination. Oxford, UK; New York, NY: Oxford University Press, 453–467.Google Scholar

Tonay, V. (1990/1991). California Women and their Dreams: A Historical and Sub-Cultural Comparison of Dream Content. Imagination, Cognition, and Personality, 10, 83–97.Google Scholar

van Rijn, E., Eichenlaub, J. B., Lewis, P. A., et al. (2015). The Dream-Lag Effect: Selective Processing of Personally Significant Events during Rapid Eye Movement Sleep, but Not during Slow Wave Sleep. Neurobiology of Learning and Memory, 122, 98–109.Google Scholar

Vignal, J.-P., Maillard, L., McGonigal, A., and Chauvel, P. (2007). The Dreamy State: Hallucinations of Autobiographic Memory Evoked by Temporal Lobe Stimulations and Seizures. Brain, 130, 88–99.Google Scholar

Webb, E., Campbell, D., Schwartz, R., Sechrest, L., and Grove, J. (1981). Nonreactive Measures in the Social Sciences. Boston, MA: Houghton Mifflin.Google Scholar

Weisz, R., and Foulkes, D. (1970). Home and Laboratory Dreams Collected under Uniform Sampling Conditions. Psychophysiology, 6, 588–596.Google Scholar

Zimmerman, W. B. (1970). Sleep Mentation and Auditory Awakening Thresholds. Psychophysiology, 6, 540–549.Google Scholar

References

Addis, D. R., Moscovitch, M., Crawley, A. P., and McAndrews, M. P. (2004). Recollective Qualities Modulate Hippocampal Activation during Autobiographical Memory Retrieval. Hippocampus, 14(6), 752–762.Google Scholar

Allen, P., Laroi, F., McGuire, P. K., and Aleman, A. (2008). The Hallucinating Brain: A Review of Structural and Functional Neuroimaging Studies of Hallucinations. Neuroscience & Biobehavioral Reviews, 32(1), 175–191.Google Scholar

Amedi, A., Malach, R., and Pascual-Leone, A. (2005). Negative BOLD Differentiates Visual Imagery and Perception. Neuron, 48(5), 859–872.Google Scholar

Aristotle, . (1968). De Anima. Books II and III (with certain passages from Book I). Translated by D. W. Hamlyn. Oxford, UK: Clarendon Press.Google Scholar

Barnett, K. J., and Newell, F. N. (2008). Synaesthesia is Associated with Enhanced Self-Rated Visual Imagery. Consciousness and Cognition, 17(3), 1032–1039.Google Scholar

Bartolomeo, P. (2002). The Relationship between Visual Perception and Visual Mental Imagery: A Reappraisal of the Neuropsychological Evidence. Cortex, 38(3), 357–378.Google Scholar

Bartolomeo, P., Bachoud-Levi, A.-C., de Gelder, B., et al. (1998). Multiple-Domain Dissociation Between Impaired Visual Perception and Preserved Mental Imagery in a Patient with Bilateral Extrastriate Lesions. Neuropsychologia, 36, 239–249.Google Scholar

Behrmann, M., Moscovitch, M., and Winocur, G. (1994). Intact Visual Imagery and Impaired Visual Perception in a Patient with Visual Agnosia. Journal of Experimental Psychology: Human Perception and Performance, 20(5), 1068–1087.Google Scholar

Behrmann, M., Winocur, G., and Moscovitch, M. (1992). Dissociation Between Mental Imagery and Object Recognition in a Brain-Damaged Patient. Nature, 359(6396), 636–637.Google Scholar

Bergmann, J., Genc, E., Kohler, A., Singer, W., and Pearson, J. (2016). Smaller Primary Visual Cortex Is Associated with Stronger, but Less Precise Mental Imagery. Cerebral Cortex, 26(9), 3838–3850.Google Scholar

Beschin, N., Basso, A., and Della Sala, S. (2000). Perceiving Left and Imagining Right: Dissociation in Neglect. Cortex, 36(3), 401–414.Google Scholar

Bickerton, D. (2014). More than Nature Needs: Language, Mind and Evolution. Cambridge, MA.: Harvard University Press.Google Scholar

Bischof, M., and Bassetti, C. L. (2004). Total Dream Loss: A Distinct Neuropsychological Dysfunction after Bilateral PCA Stroke. Annals of Neurology, 56(4), 583–586.Google Scholar

Bisiach, E., Capitani, E., Luzzatti, C., and Perani, D. (1981). Brain and Conscious Representation of Outside Reality. Neuropsychologia, 19(4), 543–551.Google Scholar

Bisiach, E., and Luzzatti, C. (1978). Unilateral Neglect of Representational Space. Cortex, 14, 129–133.Google Scholar

Blazhenkova, O. (2016). Vividness of Object and Spatial Imagery. Perceptual and Motor Skills, 122(2), 490–508.Google Scholar

Botez, M. I., Olivier, M., Vezina, J. L., Botez, T., and Kaufman, B. (1985). Defective Revisualization: Dissociation between Cognitive and Imagistic Thought Case Report and Short Review of the Literature. Cortex, 21(3), 375–389.Google Scholar

Brewer, W. F., and Schommer-Aikins, M. (2006). Scientists Are Not Deficient in Visual Imagery: Galton Revisited. Review of General Psychology, 10(2), 130–146.Google Scholar

Bridge, H., Harrold, S., Holmes, E. A., Stokes, M., and Kennard, C. (2012). Vivid Visual Mental Imagery in the Absence of the Primary Visual Cortex. Journal of Neurology, 259(6), 1062–1070.Google Scholar

Cabeza, R., and St, J. P. (2007). Functional Neuroimaging of Autobiographical Memory. Trends in Cognitive Sciences, 11(5), 219–227.Google Scholar

Carhart-Harris, R. L., Muthukumaraswamy, S., Roseman, L., et al. (2016). Neural Correlates of the LSD Experience Revealed by Multimodal Neuroimaging. Proceedings of the National Academy of Sciences of the United States of America, 113(17), 4853–4858.Google Scholar

Charcot, J. M. (1889). Clinical Lectures on Diseases of the Nervous System. Volume 3. London, UK: The New Sydenham Society.Google Scholar

Chatterjee, A., and Southwood, M. H. (1995). Cortical Blindness and Visual Imagery. Neurology, 45(12), 2189–2195.Google Scholar

Clemens, A. (2018). When the Eye’s Mind is Blind. Scientific American, August 1. www.scientificamerican.com/article/when-the-minds-eye-is-blind1/.Google Scholar

Cotard, J. (1882). Du delire des negations. Archives de Neurologie, 4, 152–170; 282–296.Google Scholar

Cotard, J.(1884). Perte de la vision mentale dans la melancolie anxieuse. Archives de Neurologie, 7, 289–295.Google Scholar

D’Aloisio-Montilla, N. (2017). Imagery and Overflow: We See More than We Report. Philosophical Psychology, 30(5), 545–570.Google Scholar

Daselaar, S. M., Porat, Y., Huijbers, W., and Pennartz, C. M. (2010). Modality-Specific and Modality-Independent Components of the Human Imagery System. Neuroimage, 52(2), 677–685.Google Scholar

de Araujo, D. B., Ribeiro, S., Cecchi, G. A., et al. (2012). Seeing with the Eyes Shut: Neural Basis of Enhanced Imagery following Ayahuasca Ingestion. Human Brain Mapping, 33(11), 2550–2560.Google Scholar

de Borst, A. W., Sack, A. T., Jansma, B. M., et al. (2012). Integration of “What” and “Where” in Frontal Cortex during Visual Imagery of Scenes. Neuroimage, 60(1), 47–58.Google Scholar

de Vito, S., and Bartolomeo, P. (2016). Refusing to Imagine? On the Possibility of Psychogenic Aphantasia. A Commentary on Zeman et al. (2015). Cortex, 74, 334–335.Google Scholar

Dunbar, R. (2004). The Human Story: A New History of Mankind’s Evolution. London, UK: Faber and Faber.Google Scholar

Eddy, J. K., and Glass, A. L. (1981). Reading and Listening to High and Low Imagery Sentences. Journal of Verbal Learning and Verbal Behavior, 20(3), 333–345.Google Scholar

Farah, M. J. (1984). The Neurological Basis of Mental Imagery: A Componential Analysis. Cognition, 18, 245–272.Google Scholar

Faw, B. (2009). Conflicting Intuitions May Be Based on Differing Abilities – Evidence from Mental Imaging Research. Journal of Consciousness Studies, 16, 45–68.Google Scholar

Fulford, J., Milton, F., Salas, D., et al. (2018). The Neural Correlates of Visual Imagery Vividness – An fMRI Study and Literature Review. Cortex, 105, 26–40.Google Scholar

Galton, F. (1880). Statistics of Mental Imagery. Mind, 5, 301–318.Google Scholar

Gardini, S., Concari, L., Pagliara, S., et al. (2011). Visuo-Spatial Imagery Impairment in Posterior Cortical Atrophy: A Cognitive and SPECT Study. Behavioural Neurology, 24(2), 123–132.Google Scholar

Gardini, S., Cornoldi, C., De, B. R., and Venneri, A. (2006). Left Mediotemporal Structures Mediate the Retrieval of Episodic Autobiographical Mental Images. Neuroimage, 30(2), 645–655.Google Scholar

Gilboa, A., Winocur, G., Grady, C. L., Hevenor, S. J., and Moscovitch, M. (2004). Remembering our Past: Functional Neuroanatomy of Recollection of Recent and Very Remote Personal Events. Cerebral Cortex, 14(11), 1214–1225.Google Scholar

Greenberg, D. L., and Knowlton, B. J. (2014). The Role of Visual Imagery in Autobiographical Memory. Memory and Cognition, 42(6), 922–934.Google Scholar

Grüter, T., and Carbon, C. C. (2010). Escaping Attention. Science, 328(5977), 435–436.Google Scholar

Grüter, T., Grüter, M., Bell, V., and Carbon, C. C. (2009). Visual Mental Imagery in Congenital Prosopagnosia. Neuroscience Letters, 453(3), 135–140.Google Scholar

Guillot, A., Collet, C., Nguyen, V. A., et al. (2008). Functional Neuroanatomical Networks Associated with Expertise in Motor Imagery. Neuroimage, 41(4), 1471–1483.Google Scholar

Jacobs, C., Schwarzkopf, D. S., and Silvanto, J. (2018). Visual Working Memory Performance in Aphantasia. Cortex, 105, 61–73.Google Scholar

Keogh, R., Bergmann, J., and Pearson, J. (2016). Cortical Excitability Controls the Strength of Mental Imagery. BioRxiv. org. doi.org/10.1101/093690.Google Scholar

Keogh, R., and Pearson, J. (2018). The Blind Mind: No Sensory Visual Imagery in Aphantasia. Cortex, 105, 53–60.Google Scholar

Lambert, M. V., Senior, C., Phillips, M. L., et al. (2001). Visual Imagery and Depersonalisation. Psychopathology, 34(5), 259–264.Google Scholar

Lorey, B., Pilgramm, S., Bischoff, M., et al. (2011). Activation of the Parieto-Premotor Network Is Associated with Vivid Motor Imagery – A Parametric FMRI Study. PLoS. One, 6(5), e20368.Google Scholar

MacKisack, M., Aldworth, S., Macpherson, F., et al. (2016). On Picturing a Candle: The Prehistory of Imagery Science. Frontiers in Psychology, 7, 515.Google Scholar

McKelvie, S. (1995). The VVIQ as a Psychometric Test of Individual Differences in Visual Imagery Vividness: A Critical Quantitative Review and Plea for Direction. Journal of Mental Imagery, 19, 1–106.Google Scholar

Miller, L. (2017). All Things New. Los Angeles, CA: Three Saints Press.Google Scholar

Milton, F., Muhlert, N., Butler, C. R., Benattayallah, A., and Zeman, A. Z. (2011). The Neural Correlates of Everyday Recognition Memory. Brain and Cognition, 76(3), 369–381.Google Scholar

Moro, V., Berlucchi, G., Lerch, J., Tomaiuolo, F., and Aglioti, S. M. (2008). Selective Deficit of Mental Visual Imagery with Intact Primary Visual Cortex and Visual Perception. Cortex, 44(2), 109–118.Google Scholar

Nielsen, J. (1946). Agnosia, Apraxia, Aphasia: Their Value in Cerebral Localisation. 2nd edition. New York, NY: Hoeber.Google Scholar

Palmiero, M., Belardinelli, M. O., Nardo, D., et al. (2009). Mental Imagery Generation in Different Modalities Activates Sensory-Motor Areas. Cognitive Processing, 10(Suppl 2), S268–271.Google Scholar

Pearson, J., Clifford, C. W., and Tong, F. (2008). The Functional Impact of Mental Imagery on Conscious Perception. Current Biology, 18(13), 982–986.Google Scholar

Pearson, J., Rademaker, R. L., and Tong, F. (2011). Evaluating the Mind’s Eye: The Metacognition of Visual Imagery. Psychological Science, 22(12), 1535–1542.Google Scholar

Phillips, M. L., Medford, N., Senior, C., et al. (2001). Depersonalization Disorder: Thinking without Feeling. Psychiatry Research, 108(3), 145–160.Google Scholar

Reisberg, D., Pearson, D. G., and Kosslyn, S. M. (2003). Intuitions and Introspections about Imagery: The Role of Imagery Experience in Shaping an Investigator’s Theoretical Views. Applied Cognitive Psychology, 17, 147–160.Google Scholar

Ross, B. (2016). Aphantasia: How It Feels To Be Blind in your Mind. www.facebook.com/notes/blake-ross/aphantasia-how-it-feels-to-be-blind-in-your-mind/10156834777480504/.Google Scholar

Rubin, D. C., and Greenberg, D. L. (1998). Visual Memory-Deficit Amnesia: A Distinct Amnesic Presentation and Etiology. Proceedings of the National Academy of Sciences of the United States of America, 95(9), 5413–5416.Google Scholar

Servos, P., and Goodale, M. A. (1995). Preserved Visual Imagery in Visual Form Agnosia. Neuropsychologia, 33, 1383–1394.Google Scholar

Shuren, J. E., Brott, T. G., Schefft, B. K., and Houston, W. (1996). Preserved Colour Imagery in an Achromatopsic. Neuropsychologia, 34, 485–489.Google Scholar

Solms, M. (2009). The Neuropsychology of Dreams. New York, NY: Psychology Press.Google Scholar

Watkins, N. W. (2017). (A)phantasia and SDAM: Scientific and Personal Perspectives. psyarxiv.com/d7av9/.Google Scholar

Winlove, C. I. P., Milton, F., Ranson, J., et al. (2018). The Neural Correlates of Visual Imagery: A Co-ordinate-Based Meta-Analysis. Cortex, 105, 4–25.Google Scholar

Zago, S., Allegri, N., Cristoffanini, M., et al. (2011). Is the Charcot and Bernard Case (1883) of Loss of Visual Imagery Really Based on Neurological Impairment? Cognitive Neuropsychiatry, 16(6), 481–504.Google Scholar

Zatorre, R. J., Halpern, A. R., and Bouffard, M. (2010). Mental Reversal of Imagined Melodies: A Role for the Posterior Parietal Cortex. Journal of Cognitive Neuroscience, 22(4), 775–789.Google Scholar

Zeman, A., Dewar, M., and Della Sala, S. (2015). Lives without Imagery – Congenital Aphantasia. Cortex, 73, 378–380.Google Scholar

Zeman, A., Dewar, M., and Della Sala, S.(2016). Reflections on Aphantasia. Cortex, 74, 336–337.Google Scholar

Zeman, A. Z., Della Sala, S., Torrens, L. A., et al. (2010). Loss of Imagery Phenomenology with Intact Visuo-Spatial Task Performance: A Case of “Blind Imagination”. Neuropsychologia, 48(1), 145–155.Google Scholar

Zimmer, C. (2010). The Brain. Discover, 28–29.Google Scholar

Zmigrod, L., Garrison, J. R., Carr, J., and Simons, J. S. (2016). The Neural Mechanisms of Hallucinations: A Quantitative Meta-Analysis of Neuroimaging Studies. Neuroscience & Biobehavioral Reviews, 69, 113–123.Google Scholar

Zvyagintsev, M., Clemens, B., Chechko, N., et al. (2013). Brain Networks Underlying Mental Imagery of Auditory and Visual Information. The European Journal of Neuroscience, 37(9), 1421–1434.Google Scholar

References

Barnier, A. J., and McConkey, K. M. (1999). Absorption, Hypnotizability and Context: Non‐Hypnotic Contexts Are Not All the Same. Contemporary Hypnosis, 16(1), 1–8.Google Scholar

Bowers, K. S. (1981). Do the Stanford Scales Tap the “Classic Suggestion Effect”? International Journal of Clinical and Experimental Hypnosis, 29(1), 42–53.Google Scholar

Bowers, P., Laurence, J. R., and Hart, D. (1988). The Experience of Hypnotic Suggestions. International Journal of Clinical and Experimental Hypnosis, 36(4), 336–349.Google Scholar

Braffman, W., and Kirsch, I. (1999). Imaginative Suggestibility and Hypnotizability: An Empirical Analysis. Journal of Personality and Social Psychology, 77(3), 578–587.Google Scholar

Bryant, R. A., and Idey, A. (2001). Intrusive Thoughts and Hypnotizability. Contemporary Hypnosis, 18(1), 14–20.Google Scholar

Cardeña, E., and Terhune, D. B. (2014). Hypnotizability, Personality Traits and the Propensity to Experience Alterations of Consciousness. Psychology of Consciousness: Theory, Research, and Practice, 1, 292–307.Google Scholar

Cardeña, E., and Terhune, D. B. (2019). The Roles of Response Expectancies, Baseline Experiences, and Hypnotizability in Spontaneous Hypnotic Experiences. International Journal of Clinical and Experimental Hypnosis, 67(1), 1–27.Google Scholar

Carli, G., Cavallaro, F. I., Rendo, C. A., and Santarcangelo, E. L. (2007). Imagery of Different Sensory Modalities: Hypnotizability and Body Sway. Experimental Brain Research, 179(2), 147–154.Google Scholar

Carlson, E. B., and Putnam, F. W. (1989). Integrating Research on Dissociation and Hypnotizability: Are There Two Pathways to Hypnotizability? Dissociation, 2, 32–38.Google Scholar

Cojan, Y., Piguet, C., and Vuilleumier, P. (2015). What Makes Your Brain Suggestible? Hypnotizability Is Associated with Differential Brain Activity during Attention outside Hypnosis. Neuroimage, 117, 367–374.Google Scholar

Comey, G., and Kirsch, I. (1999). Intentional and Spontaneous Imagery in Hypnosis: The Phenomenology of Hypnotic Responding. International Journal of Clinical and Experimental Hypnosis, 47(1), 65–85.Google Scholar

Council, J. R., Kirsch, I., and Grant, D. L. (1996). Imagination, Expectancy, and Hypnotic Responding. In Kunzendorf, R. G., Spanos, N. P., and Wallace, B (eds.), Hypnosis and Imagination. Amityville, NY: Baywood, 41–66.Google Scholar

Deeley, Q., Oakley, D. A., Toone, B., et al. (2013). The Functional Anatomy of Suggested Limb Paralysis. Cortex, 49(2), 411–422.Google Scholar

Derbyshire, S. W., Whalley, M. G., and Oakley, D. A. (2009). Fibromyalgia Pain and Its Modulation by Hypnotic and Non-Hypnotic Suggestion: An fMRI Analysis. European Journal of Pain, 13(5), 542–550.Google Scholar

Derbyshire, S. W., Whalley, M. G., Stenger, V. A., and Oakley, D. A. (2004). Cerebral Activation during Hypnotically Induced and Imagined Pain. Neuroimage, 23(1), 392–401.Google Scholar

Dienes, Z., and Perner, J. (2007). Executive Control without Conscious Awareness: The Cold Control Theory of Hypnosis. In Jamieson, G. A. (ed.), Hypnosis and Conscious States: The Cognitive Neuroscience Perspective. Oxford, UK: Oxford University Press, 293–314.Google Scholar

Franklin, B., Majault, Le, Sallin, R., et al.(2002). Report of the Commissioners Charged by the King with the Examination of Animal Magnetism. 1784. International Journal of Clinical and Experimental Hypnosis, 50(4), 332–363.Google Scholar

Gauld, A. (1992). A History of Hypnotism. Cambridge, UK: Cambridge University Press.Google Scholar

Glisky, M. L., Tataryn, D. J., and Kihlstrom, J. F. (1995). Hypnotizability and Mental Imagery. International Journal of Clinical and Experimental Hypnosis, 43(1), 34–54.Google Scholar

Glisky, M. L., Tataryn, D. J., Tobias, B. A., Kihlstrom, J. F., and McConkey, K. M. (1991). Absorption, Openness to Experience, and Hypnotizability. Journal of Personality and Social Psychology, 60(2), 263–272.Google Scholar

Gonsalkorale, W. M., Miller, V., Afzal, A., and Whorwell, P. J. (2003). Long Term Benefits of Hypnotherapy for Irritable Bowel Syndrome. Gut, 52(11), 1623–1629.Google Scholar

Granqvist, P., Fredrikson, M., Unge, P., et al. (2005). Sensed Presence and Mystical Experiences Are Predicted by Suggestibility, Not by the Application of Transcranial Weak Complex Magnetic Fields. Neuroscience Letters, 379(1), 1–6.Google Scholar

Haggard, P. (2017). Sense of Agency in the Human Brain. Nature Reviews Neuroscience, 18(4), 196–207.Google Scholar

Halligan, P. W., Athwal, B. S., Oakley, D. A., and Frackowiak, R. S. (2000). Imaging Hypnotic Paralysis: Implications for Conversion Hysteria. Lancet, 355(9208), 986–987.Google Scholar

Halligan, P. W., and Oakley, D. A. (2014). Hypnosis and Beyond: Exploring the Broader Domain of Suggestion. Psychology of Consciousness: Theory, Research, and Practice, 1, 105–122.Google Scholar

Hargadon, R., Bowers, K. S., and Woody, E. Z. (1995). Does Counterpain Imagery Mediate Hypnotic Analgesia? Journal of Abnormal Psychology, 104(3), 508–516.Google Scholar

Haxby, J. V., Connolly, A. C., and Guntupalli, J. S. (2014). Decoding Neural Representational Spaces using Multivariate Pattern Analysis. Annual Review of Neuroscience, 37, 435–456.Google Scholar

Jamieson, G. A., and Woody, E. (2007). Dissociated Control as a Paradigm for Cognitive Neuroscience Research and Theorising in Hypnosis. In Jamieson, G. A. (ed.), Hypnosis and Conscious States: The Cognitive Neuroscience Perspective. Oxford, UK: Oxford University Press, 111–129.Google Scholar

Kihlstrom, J. F. (2008). The Domain of Hypnosis, Revisited. In Nash, M. R. and Barnier, A. J. (eds.), The Oxford Handbook of Hypnosis: Theory, Research and Practice. Oxford, UK: Oxford University Press, 21–52.Google Scholar

King, B. J., and Council, J. R. (1998). Intentionality during Hypnosis: An Ironic Process Analysis. International Journal of Clinical and Experimental Hypnosis, 46(3), 295–313.Google Scholar

Kirsch, I. (1999). Clinical Hypnosis as a Nondeceptive Placebo. In Kirsch, I, Capafons, A, Cardeña-Buelna, E, and Amigó, S (eds.), Clinical Hypnosis and Self-Regulation: Cognitive-Behavioural Perspectives. Washington, DC: American Psychological Association, 211–225.Google Scholar

Kirsch, I., and Lynn, S. J. (1995). Altered State of Hypnosis: Changes in the Theoretical Landscape. American Psychologist, 50(10), 846–858.Google Scholar

Kirsch, I., Montgomery, G., and Sapirstein, G. (1995). Hypnosis as an Adjunct to Cognitive-Behavioral Psychotherapy: A Meta-Analysis. Journal of Consulting and Clinical Psychology, 63, 214.Google Scholar

Kogon, M. M., Jasiukaitis, P., Berardi, A., et al. (1998). Imagery and Hypnotizability Revisited. International Journal of Clinical and Experimental Hypnosis, 46(4), 363–370.Google Scholar

Lau-Zhu, A., Holmes, E. A., and Porcheret, K. (2018). Intrusive Memories of Trauma in the Laboratory: Methodological Developments and Future Directions. Current Behavioral Neuroscience Reports, 5(1), 61–71.Google Scholar

Laurence, J.-R., Beaulieu-Prévost, D., and du Chéné, T. (2008). Measuring and Understanding Individual Differences in Hypnotizability. In Nash, M. R. and Barnier, A. J. (eds.), The Oxford Handbook of Hypnosis: Theory, Research and Practice. Oxford, UK: Oxford University Press, 225–253.Google Scholar

Lush, P., Caspar, E. A., Cleeremans, A., et al. (2017). The Power of Suggestion: Posthypnotically Induced Changes in the Temporal Binding of Intentional Action Outcomes. Psychological Science, 28(5), 661–669.Google Scholar

Lush, P., Naish, P., and Dienes, Z. (2016). Metacognition of Intentions in Mindfulness and Hypnosis. Neuroscience of Consciousness, 2016(1), niw007.Google Scholar

Lynn, S. J., Kirsch, I., and Hallquist, M. (2008). Social Cognitive Theories of Hypnosis. In Nash, M. R. and Barnier, A. J. (eds.), The Oxford Handbook of Hypnosis: Theory, Research and Practice. Oxford, UK: Oxford University Press, 111–140.Google Scholar

Lynn, S. J., Kirsch, I., Knox, J., Fassler, O., and Lilienfeld, S. O. (2007). Hypnosis and Neuroscience: Implications for the Altered State Debate. In Jamieson, G. A. (ed.), Hypnosis and Conscious States: The Cognitive Neuroscience Perspective. Oxford, UK: Oxford University Press, 145–165.Google Scholar

Marucci, F. S., and Meo, M. (2000). Suggestibility and Imagery during Attribution of Meaning to Ambiguous Figures. In de Pascalis, V, Gheorghiu, V. A., Sheehan, P. W., and Kirsch, I (eds.), Suggestion and Suggestibility: Theory and Research. Munich, Germany: M.E.G.-Stiftung, 167–175.Google Scholar

Maxwell, R., Lynn, S. J., and Condon, L. (2015). Hypnosis, Hypnotic Suggestibility, Memory, and Involvement in Films. Consciousness and Cognition, 33, 170–184.Google Scholar

Moore, J. W., and Obhi, S. S. (2012). Intentional Binding and the Sense of Agency: A Review. Consciousness and Cognition, 21(1), 546–561.Google Scholar

Moore, M., and Tasso, A. F. (2008). Clinical Hypnosis: The Empirical Evidence. In Nash, M. R. and Barnier, A. J. (eds.), The Oxford Handbook of Hypnosis: Theory, Research and Practice. Oxford, UK: Oxford University Press, 697–725.Google Scholar

Morgan, A. H. (1973). The Heritability of Hypnotic Susceptibility in Twins. Journal of Abnormal Psychology, 82(1), 55–61.Google Scholar

Oakley, D. A. (2012). From Freud to Neuroimaging: Hypnosis as a Common Thread. In Fotopoulou, A, Pfaff, D, and Conway, M. A. (eds.), From the Couch to the Lab: Trends in Psychodynamic Neuroscience. Oxford, UK: Oxford University Press, 356–372.Google Scholar

Oakley, D. A., and Halligan, P. W. (2009). Hypnotic Suggestion and Cognitive Neuroscience. Trends in Cognitive Sciences, 13(6), 264–270.Google Scholar

Oakley, D. A., and Halligan, P. W.(2013). Hypnotic Suggestion: Opportunities for Cognitive Neuroscience. Nature Reviews Neuroscience, 14(8), 565–576.Google Scholar

Oakley, D. A., and Halligan, P. W.(2017). Chasing the Rainbow: The Non-Conscious Nature of Being. Frontiers in Psychology, 8, 1924.Google Scholar

Oakley, D. A., Ward, N. S., Halligan, P. W., and Frackowiak, S. J. (2003). Differential Brain Activations for Malingered and Subjectively “Real” Paralysis. In Halligan, P. W., Bass, C, and Oakley, D. A. (eds.), Malingering and Illness Deception. Oxford, UK: Oxford University Press, 267–284.Google Scholar

Panero, M. E., Goldstein, T. R., Rosenberg, R., Hughes, H., and Winner, E. (2016). Do Actors Possess Traits Associated with High Hypnotizability? Psychology of Aesthetics, Creativity, and the Arts, 10(2), 233–239.Google Scholar

Patterson, D. R., and Jensen, M. P. (2003). Hypnosis and Clinical Pain. Psychological Bulletin, 129(4), 495–521.Google Scholar

Pekala, R. J., and Kumar, V. K. (2007). An Empirical-Phenomenological Approach to Quantifying Consciousness and States of Consciousness: With Particular Reference to Understanding the Nature of Hypnosis. In Jamieson, G. A. (ed.), Hypnosis and Conscious States: The Cognitive Neuroscience Perspective. Oxford, UK: Oxford University Press, 167–194.Google Scholar

Piccione, C., Hilgard, E. R., and Zimbardo, P. G. (1989). On the Degree of Stability of Measured Hypnotizability over a 25-year Period. Journal of Personality and Social Psychology, 56(2), 289–295.Google Scholar

Polito, V., Barnier, A. J., Woody, E. Z., and Connors, M. H. (2014). Measuring Agency Change across the Domain of Hypnosis. Psychology of Consciousness: Theory, Research, and Practice, 1(1), 3–19.Google Scholar

Raz, A. (2007). Hypnobo: Perspectives on Hypnosis and Placebo. American Journal of Clinical Hypnosis, 50(1), 29–36.Google Scholar

Rhue, J. (2004). Developmental Determinants of High Hypnotizability. In Heap, M, Brown, R. J., and Oakley, D. A. (eds.), The Highly Hypnotizable Person: Theoretical, Experimental and Clinical Issues. New York, NY: Brunner-Routledge, 115–132.Google Scholar

Roche, S. M., and McConkey, K. M. (1990). Absorption: Nature, Assessment, and Correlates. Journal of Personality and Social Psychology, 59(1), 91–101.Google Scholar

Rominger, C., Weiss, E. M., Nagl, S., et al. (2014). Carriers of the COMT Met/Met Allele Have Higher Degrees of Hypnotizability, Provided That They Have Good Attentional Control: A Case of Gene-Trait Interaction. International Journal of Clinical and Experimental Hypnosis, 62(4), 455–482.Google Scholar

Sarbin, T. R., and Lim, D. T. (1963). Some Evidence in Support of the Roletaking Hypothesis in Hypnosis. International Journal of Clinical and Experimental Hypnosis, 11, 98–103.Google Scholar

Sheehan, P. W., and Robertson, R. (1996). Imagery and Hypnosis: Trends and Patternings in Effects. In Kunzendorf, R. G., Spanos, N. P., and Wallace, B (eds.), Hypnosis and Imagination. Amityville, NY: Baywood, 1–17.Google Scholar

Spanos, N. P. (1986). Hypnotic Behavior: A Social Psychological Interpretation of Amnesia, Analgesia and Trance Logic. Behavioral and Brain Sciences, 9(3), 449–467.Google Scholar

Spanos, N. P., and Gorassini, D. R. (1984). Structure of Hypnotic Test Suggestions and Attributions of Responding Involuntarily. Journal of Personality and Social Psychology, 46(3), 688–696.Google Scholar

Spanos, N. P., Stenstrom, R. J., and Johnston, J. C. (1988). Hypnosis, Placebo, and Suggestion in the Treatment of Warts. Psychosomatic Medicine, 50(3), 245–260.Google Scholar

Srzich, A. J., Byblow, W. D., Stinear, J. W., Cirillo, J., and Anson, J. G. (2016). Can Motor Imagery and Hypnotic Susceptibility Explain Conversion Disorder with Motor Symptoms? Neuropsychologia, 89, 287–298.Google Scholar

Szechtman, H., Woody, E., Bowers, K. S., and Nahmias, C. (1998). Where the Imaginal Appears Real: A Positron Emission Tomography Study of Auditory Hallucinations. Proceedings of the National Academy of Sciences of the United States of America, 95(4), 1956–1960.Google Scholar

Tasso, A. F., and Perez, N. (2008). Parsing Everyday Suggestibility: What Does It Tell Us about Hypnosis? In Nash, M. R. and Barnier, A. J. (eds.), The Oxford Handbook of Hypnosis: Theory, Research and Practice. Oxford, UK: Oxford University Press, 283–309.Google Scholar

Terhune, D. B. (2012). Metacognition, Cold Control and Hypnosis. Journal of Mind-Body Regulation, 2, 75–79.Google Scholar

Terhune, D. B., and Cardeña, E. (2015). Dissociative Subtypes in Posttraumatic Stress Disorders and Hypnosis: Neurocognitive Parallels and Clinical Implications. Current Directions in Psychological Science, 24, 452–457.Google Scholar

Terhune, D. B., and Cardeña, E.(2016). Nuances and Uncertainties Regarding Hypnotic Inductions: Toward a Theoretically Informed Praxis. American Journal of Clinical Hypnosis, 59(2), 155–174.Google Scholar

Terhune, D. B., Cardeña, E., and Lindgren, M. (2011). Dissociative Tendencies and Individual Differences in High Hypnotic Suggestibility. Cognitive Neuropsychiatry, 16(2), 113–135.Google Scholar

Terhune, D. B., Cleeremans, A., Raz, A., and Lynn, S. J. (2017). Hypnosis and Top-Down Regulation of Consciousness. Neuroscience and Biobehavioral Reviews, 81(Pt A), 59–74.Google Scholar

Terhune, D. B., and Hedman, L. R. A. (2017). Metacognition of Agency Is Reduced in High Hypnotic Suggestibility. Cognition, 168, 176–181.Google Scholar

Varga, K., Nemeth, Z., and Szekely, A. (2011). Lack of Correlation between Hypnotic Susceptibility and Various Components of Attention. Consciousness and Cognition, 20(4), 1872–1881.Google Scholar

Vuilleumier, P. (2014). Brain Circuits Implicated in Psychogenic Paralysis in Conversion Disorders and Hypnosis. Neurophysiologie Clinique-Clinical Neurophysiology, 44(4), 323–337.Google Scholar

Wallace, B., Allen, P. A., and Propper, R. E. (1996). Hypnotic Susceptibility, Imaging Ability, and Anagram-Solving Activity. International Journal of Clinical and Experimental Hypnosis, 44(4), 324–337.Google Scholar

Walsh, E., Oakley, D. A., Halligan, P. W., Mehta, M. A., and Deeley, Q. (2015). The Functional Anatomy and Connectivity of Thought Insertion and Alien Control of Movement. Cortex, 64, 380–393.Google Scholar

Walters, V. J., and Oakley, D. A. (2003). Does Hypnosis Make in Vitro, in Vivo? Hypnosis as a Possible Virtual Reality Context in Cognitive Behavioural Therapy for an Environmental Phobia. Clinical Case Studies, 2(4), 295–305.Google Scholar

Walters, V. J., and Oakley, D. A.(2006). Hypnotic Imagery as an Adjunct to Therapy for Irritable Bowel Syndrome: An Experimental Case Report. Contemporary Hypnosis, 23(3), 141–149.Google Scholar

Ward, N. S., Oakley, D. A., Frackowiak, R. S., and Halligan, P. W. (2003). Differential Brain Activations during Intentionally Simulated and Subjectively Experienced Paralysis. Cognitive Neuropsychiatry, 8(4), 295–312.Google Scholar

Weitzenhoffer, A. M. (1974). When Is an “Instruction” an “Instruction”? International Journal of Clinical and Experimental Hypnosis, 22(3), 258–269.Google Scholar

Whorwell, P. J., Prior, A., and Faragher, E. B. (1984). Controlled Trial of Hypnotherapy in the Treatment of Severe Refractory Irritable-Bowel Syndrome. Lancet, 2(8414), 1232–1234.Google Scholar

Wilson, S. C., and Barber, T. X. (1983). The Fantasy-Prone Personality: Implications for Understanding Imagery, Hypnosis, and Parapsychological Phenomena. In Sheik, A. A. (ed.), Imagery: Current Theory, Research and Application. New York, NY: Wiley, 340–390.Google Scholar

Woody, E. Z., and Barnier, A. J. (2008). Hypnosis Scales for the Twenty-First Century: What Do We Know and How Should We Use Them? In Nash, M. R. and Barnier, A. J. (eds.), The Oxford Handbook of Hypnosis: Theory, Research and Practice. Oxford, UK: Oxford University Press, 255–281.Google Scholar

References

Abraham, A. D., Fontaine, H. M., Song, A. J., et al. (2018). κ-Opioid Receptor Activation in Dopamine Neurons Disrupts Behavioural Inhibition. Neuropsychopharmacology, 43(2), 362–372.Google Scholar

Addy, P. H., Garcia-Romeu, A., Metzger, M., and Wade, J. (2015). The Subjective Experience of Acute, Experimentally-Induced Salvia Divinorum Inebriation. Journal of Psychopharmacology, 29(4), 426–435.Google Scholar

Akers, B. P., Ruiz, J. F., Piper, A., and Ruck, C. A. P. (2011) A Prehistoric Mural in Spain Depicting Neurotropic Psilocybe Mushrooms? Economic Botany, 65(2), 121–128.Google Scholar

Aleman, A., and Larøi, F. (2008). Hallucinations: The Science of Idiosyncratic Perception. Washington, DC: American Psychological Association.Google Scholar

de Araujo, B., Ribeiro, S., Cecchi, G. A., et al. (2012) Seeing with the Eyes Shut: Neural Basis of Enhanced Imagery Following Ayahuasca Ingestion. Human Brain Mapping, 33(11), 2550–2560.Google Scholar

Bachner-Melman, R., Dina, C., Zohar, A. H., et al. (2005). AVPR1a and SLC6A4 Gene Polymorphisms Are Associated with Creative Dance Performance. PLoS Genetics, 1(3), e42.Google Scholar

Bliem, B., Unterrainer, H. F., Papousek, I., Weiss, E. M., and Fink, A. (2013). Creativity in Cannabis-Users and in Drug Addicts in Maintenance Treatment and in Rehabilitation. Neuropsychiatry, 27(1), 2–10.Google Scholar

Block, R. I., and Wittenborn, J. R. (1984). Marijuana Effects on Visual Imagery in a Paired-Associate Task. Perceptual and Motor Skills, 58(3), 759–766.Google Scholar

Blom, J. D. (2015). Defining and Measuring Hallucinations and their Consequences – What Is Really the Difference between a Veridical Perception and a Hallucination? Categories of Hallucinatory Experiences. In Collerton, D, Mosimann, U, and Perry, E (eds.), The Neuroscience of Visual Hallucinations. West Sussex, UK: John Wiley & Sons, 23–45.Google Scholar

Boot, N., Baas, M., van Gaal, S., et al. (2017). Creative Cognition and Dopaminergic Modulation of Fronto-Striatal Networks: Integrative Review and Research Agenda. Neuroscience & Biobehavioural Reviews, 78, 13–23.Google Scholar

Canesi, M., Rusconi, M. L., Moroni, F., et al. (2016). Creative Thinking, Professional Artists, and Parkinson’s Disease. Journal of Parkinson’s Disease, 6(1), 239–246.Google Scholar

Caruncho, M. V., and Fernández, F. B. (2011). The Hallucinations of Frédéric Chopin. Medical Humanities, 37(1), 5–8.Google Scholar

Collerton, D., Mosimann, U. P., and Perry, E. K. (eds.) (2015). The Neuroscience of Visual Hallucinations. West Sussex, UK; Hoboke, NJ: John Wiley & Sons.Google Scholar

Collerton, D., Perry, E., and McKeith, I. (2005). Why People See Things That Are Not There: A Novel Perception and Attention Deficit Model for Recurrent Complex Visual Hallucinations. Behavioral and Brain Sciences, 28(6), 737–757.Google Scholar

Collerton, D., Taylor, J. P., Tsuda, I., et al. (2016). How Can We See Things That Are Not There? Current Insights into Complex Visual Hallucinations. Journal of Consciousness Studies, 23(7–8), 195–227.Google Scholar

Cruz, A., Domingos, S., Gallardo, E., and Martinho, A. (2017). A Unique Natural Selective Kappa-Opioid Receptor Agonist, Salvinorin A, and Its Roles in Human Therapeutics. Phytochemistry, 137, 9–14.Google Scholar

Davis, R. E., Callahan, M. J., Dickerson, M., and Downs, D. A. (1992). Pharmacologic Activity of CI-977, a Selective Kappa Opioid Agonist, in Rhesus Monkeys. Journal of Pharmacology and Experimental Therapeutics, 261(3), 1044–1049.Google Scholar

De Dreu, C. K., Baas, M., and Boot, N. C. (2015). Oxytocin Enables Novelty Seeking and Creative Performance through Upregulated Approach: Evidence and Avenues for Future Research. Wiley Interdisciplinary Reviews: Cognitive Science, 6(5), 409–417.Google Scholar

De Quincy, T. (1821) Confessions of an English Opium-Eater. London Magazine, IV(xxii), 353–379.Google Scholar

Dittrich, A., Bickel, P., Schöpf, J., and Zimmer, D. (1976). Comparison of Altered States of Consciousness Induced by the Hallucinogens (–)-Delta9-Trans- Tetrahydrocannabinol (Delta9-THC) and N,N-Dimethyltryptamine (DMT). Archiv für Psychiatrie und Nervenkrankheiten, 223(1), 77–87.Google Scholar

Dos Santos, R. G., Osório, F. L., Crippa, J. A. S., and Hallak, J. E. C. (2016). Classical Hallucinogens and Neuroimaging: A Systematic Review of Human Studies: Hallucinogens and Neuroimaging. Neuroscience & Biobehavioural Reviews, 71, 715–728.Google Scholar

Dudley, R., Wood, M., Spencer, H., et al. (2012). Identifying Specific Interpretations and Use of Safety Behaviours in People with Distressing Visual Hallucinations: An Exploratory Study. Behavioural and Cognitive Psychotherapy, 40(3), 367–375.Google Scholar

Ellis, H. (1898). Mescal: A New Artificial Paradise. The Contemporary Review, 73, 130–141.Google Scholar

Faust-Socher, A., Kenett, Y. N., Cohen, O. S., Hassin-Baer, S., and Inzelberg, R. (2014). Enhanced Creative Thinking under Dopaminergic Therapy in Parkinson Disease. Annals of Neurology, 75(6), 935–942.Google Scholar

Ffytche, D. H., Howard, R. J., Brammer, M. J., et al. (1998). The Anatomy of Conscious Vision: An fMRI Study of Hallucinations. Nature Neuroscience, 1(8), 738–742.Google Scholar

Finegersh, A., Rompala, G. R., Martin, D. I., and Homanics, G. E. (2015). Drinking beyond a Lifetime: New and Emerging Insights into Paternal Alcohol Exposure on Subsequent Generations. Alcohol, 49(5), 461–470.Google Scholar

Finkelstein, H. (1975). Dali’s Paranoia-Criticism or the Exercise of Freedom. Twentieth Century Literature, 21(1), 59–71.Google Scholar

Freeman, D. (2007). Suspicious Minds: The Psychology of Persecutory Delusions. Clinical Psychology Review, 27(4), 425–457.Google Scholar

Frucht, S. J., and Bernsohn, L. (2002). Visual Hallucinations in PD. Neurology, 59(12), 1965.Google Scholar

Gallimore, A. R. (2015). Restructuring Consciousness – The Psychedelic State in Light of Integrated Information Theory. Frontiers in Human Neuroscience, 9, 346.Google Scholar

Gallimore, A. R., and Strassman, R. J. (2016). A Model for the Application of Target-Controlled Intravenous Infusion for a Prolonged Immersive DMT Psychedelic Experience. Frontiers in Pharmacology, 7, 211.Google Scholar

Gauther, T. (1846) Le Club des Haschischins. Revue des Deux Mondes, période initiale, 13(1846), 520–535.Google Scholar

Goetz, C. G., Vaughan, C. L., Goldman, J. G., and Stebbins, G. T. (2014). I Finally See What You See: Parkinson’s Disease Visual Hallucinations Captured with Functional Neuroimaging. Movement Disorders, 29(1), 115–117.Google Scholar

Heller, R. H. (1972) Edvard Munch: The Scream. New York, NY: Viking Press.Google Scholar

Holm-Hadulla, R. M., and Bertolino, A. (2014). Creativity, Alcohol and Drug Abuse: The Pop Icon Jim Morrison. Psychopathology, 47(3), 167–173.Google Scholar

Holroyd, S., Currie, L., Wooten, G. F. (2001). Prospective Study of Hallucinations and Delusions in Parkinson’s Disease. Journal of Neurology, Neurosurgery & Psychiatry, 70, 734–738.Google Scholar

Howe, J. (2001). Edvard Munch: Psyche, Symbol and Expression. Boston, MA: Boston College, McMullen Museum of Art.Google Scholar

Huxley, A. (1954/2004). The Doors of Perception. London, UK: Vintage Books.Google Scholar

Inzelberg, R. (2013). The Awakening of Artistic Creativity and Parkinson’s Disease. Behavioral Neuroscience, 127(2), 256–261.Google Scholar

Iwaki, H., and Nomoto, M. (2014). The Adverse Effects of Anticholinergic Drugs. Brain and Nerve, 66(5), 551–560.Google Scholar

Janiker, O., and Dobkin de Rios, M. (1989). LSD and Creativity. Journal of Psychoactive Drugs, 21(1), 129–134.Google Scholar

Kaelen, M., Roseman, L., Kahan, J., et al. (2016). LSD Modulates Music-Induced Imagery via Changes in Parahippocampal Connectivity. European Neuropsychopharmacology, 26(7), 1099–1109.Google Scholar

Kennaway, J. (2017). “Those Unheard Are Sweeter.” Musical Hallucinations in Nineteenth-Century Medicine and Culture. Terrain: Anthropologie & Sciences Humaines, 68, doi : 10.4000/terrain.16426.Google Scholar

Kenney, S. (1975). Two Endings: Virginia Woolf’s Suicide and Between the Acts. University of Toronto Quarterly, 44(4), 265–289.Google Scholar

Klusonová, H., Vlková, J., and Visnovský, P. (2005). Natural Opium as One of the Possibilities for Drug Abusers. Biomedical Papers of the Medical Faculty of the University Palacky, Olomouc, Czechoslovakia, 149(2), 481–483.Google Scholar

Kometer, M., Schmidt, A., Jäncke, L., and Vollenweider, F. X. (2013). Activation of Serotonin 2 A Receptors Underlies the Psilocybin-Induced Effects on α Oscillations, N170 Visual-Evoked Potentials, and Visual Hallucinations. Journal of Neuroscience, 33(25), 10544–10551.Google Scholar

Koukkou, M., and Lehmann, D. (1976). Human EEG Spectra before and during Cannabis Hallucinations. Biological Psychiatry, 11(6), 663–677.Google Scholar

Kowal, M. A., Hazekamp, A., Colzato, L. S., et al. (2015). Cannabis and Creativity: Highly Potent Cannabis Impairs Divergent Thinking in Regular Cannabis Users. Psychopharmacology, 232(6), 1123–1134.Google Scholar

Kulig, K. (1990). LSD. Emergency Medicine Clinics of North America, 8(3), 551–558.Google Scholar

Kuypers, K. P., Riba, J., de la Fuente Revenga, M., et al. (2016). Ayahuasca Enhances Creative Divergent Thinking while Decreasing Conventional Convergent Thinking. Psychopharmacology, 233(18), 3395–3403.Google Scholar

Kyzar, E. J., Nichols, C. D., Gainetdinov, R. R., Nichols, D. E., and Kalueff, A. V. (2017). Psychedelic Drugs in Biomedicine. Trends in Pharmacological Sciences, 38(11), 992–1005.Google Scholar

LaFrance, E. M., and Cuttler, C. (2017). Inspired by Mary Jane? Mechanisms underlying Enhanced Creativity in Cannabis Users. Consciousness and Cognition, 56, 68–76.Google Scholar

Landon, M., and Fischer, R. (1970). On Similar Linguistic Structures in Creative Performance and Psilocybin-Induced Experience. Confinia Psychiatrica, 13(2), 115–138.Google Scholar

Leichti, M. E. (2017). Modern Clinical Research on LSD. Neuropsychopharmacology, 42(11), 2114–2127.Google Scholar

Leikin, J. B., Krantz, A. J., Zell-Kanter, M., Barkin, R. L., and Hryhorczuk, D. O. (1989). Clinical Features and Management of Intoxication due to Hallucinogenic Drugs. Medical Toxicology and Adverse Drug Experience, 4(5), 324–350.Google Scholar

Lhommée, E., Batir, A., Quesada, J. L., et al. (2014). Dopamine and the Biology of Creativity: Lessons from Parkinson’s Disease. Frontiers in Neurology, 5, 55.Google Scholar

Liu, J., Li, J., Feng, L., et al. (2014). Seeing Jesus in Toast: Neural and Behavioral Correlates of Face Pareidolia. Cortex, 53, 60–77.Google Scholar

Maqueda, A. E., Valle, M., Addy, P. H., et al. (2015). Salvinorin-A Induces Intense Dissociative Effects, Blocking External Sensory Perception and Modulating Interoception and Sense of Body Ownership in Humans. International Journal of Neuropsychopharmacology, 18(12), pyv065.Google Scholar

Martin, D. A., and Nichols, C. D. (2017). The Effects of Hallucinogens on Gene Expression. Current Topics in Behavioural Neurosciences, 36, 1–22.Google Scholar

McKenna, T. (1999). Food of the Gods: The Search for the Original Tree of Knowledge. A Radical History of Plants, Drugs and Human Evolution. London, UK: Random House.Google Scholar

McNorgan, C. (2012). A Meta-Analytic Review of Multisensory Imagery Identifies the Neural Correlates of Modality-Specific and Modality-General Imagery. Frontiers in Human Neuroscience, 6, 285.Google Scholar

Minor, K. S., Firmin, R. L., Bonfils, K. A., et al. (2014). Predicting Creativity: The Role of Psychometric Schizotypy and Cannabis Use in Divergent Thinking. Psychiatry Research, 220(1–2), 205–210.Google Scholar

Naselaris, T., Olman, C. A., Stansbury, D. E., Ugurbil, K., and Gallant, J. L. (2015). A Voxel-Wise Encoding Model for Early Visual Areas Decodes Mental Images of Remembered Scenes. Neuroimage, 105, 215–228.Google Scholar

Nielsen, T. A. (1992). A Self-Observational Study of Spontaneous Hypnagogic Imagery Using the Upright Napping Procedure. Imagination, Cognition and Personality, 11(4), 353–366.Google Scholar

Novak, S. J. (1997). LSD Before Leary. Sidney Cohen’s Critique of 1950s Psychedelic Drug Research. Isis: An International Review Devoted to the History of Science and Its Cultural Influences, 88(1), 87–110.Google Scholar

O’Craven, K. M., and Kanwisher, N. (2000). Mental Imagery of Faces and Places Activates Corresponding Stimulus-Specific Brain Regions. Journal of Cognitive Neuroscience, 126, 1013–1023.Google Scholar

Orsolini, L., Papanti, G. D., de Berardis, D., et al. (2017). The “Endless Trip” Among the NPS Users: Psychopathology and Psychopharmacology in the Hallucinogen-Persisting Perception Disorder. A Systematic Review. Frontiers in Psychiatry, 8, 240.Google Scholar

Osborne, A. L., Solowij, N., and Weston-Green, K. (2017). A Systematic Review of the Effect of Cannabidiol on Cognitive Function: Relevance to Schizophrenia. Neuroscience and Biobehavioural Reviews, 72, 310–324.Google Scholar

Ostwald, P. F. (1987). Schumann: The Inner Voices of a Musical Genius. Boston, MA: Northeastern University Press.Google Scholar

Palhano-Fontes, F., Andrade, K. C., Tofoli, L. F., et al. (2015). The Psychedelic State Induced by Ayahuasca Modulates the Activity and Connectivity of the Default Mode Network. PLoS One, 10(2), e0118143.Google Scholar

Perry, E. K., and Perry, R. H. (1995). Acetylcholine and Hallucinations: Disease-Related Compared to Drug-Induced Alterations in Human Consciousness. Brain and Cognition, 28(3), 240–258.Google Scholar

Perry, N., and Perry, E. (2018). Botanic Brain Balms. London, UK: Filbert Press.Google Scholar

Prado, V. F., Janickova, H., Al-Onaizi, M. A., and Prado, M. A. (2017). Cholinergic Circuits in Cognitive Flexibility. Neuroscience, 345, 130–141.Google Scholar

Riley, S. C., and Blackman, G. (2008). Between Prohibitions: Patterns and Meanings of Magic Mushroom Use in the UK. Substance Use and Misuse, 43(1), 55–71.Google Scholar

Rothenberg, A. (2001). Bipolar Illness, Creativity, and Treatment. Psychiatric Quarterly, 72(2), 131–147.Google Scholar

Sessa, B. (2008). Is It Time to Revisit the Role of Psychedelic Drugs in Enhancing Human Creativity? Psychopharmacology, 22(8), 821–827.Google Scholar

Shine, J. M., Keogh, R., O’Callaghan, C., et al. (2015). Imagine That: Elevated Sensory Strength of Mental Imagery in Individuals with Parkinson’s Disease and Visual Hallucinations. Proceedings of the Royal Society of London B: Biological Sciences, 282(1798), 2014–2047.Google Scholar

Sireteanu, R., Oertel, V., Mohr, H., Linden, D., and Singer, W. (2008). Graphical Illustration and Functional Neuroimaging of Visual Hallucinations during Prolonged Blindfolding: A Comparison to Visual Imagery. Perception, 37, 1805–1821.Google Scholar

Slotnick, S.D., Thompson., W.L., and Kosslyn, M. (2005). Visual Mental Imagery Induces Retinotopically Organised Activation of Early Visual Areas. Cerebral Cortex, 15, 1570–1583.Google Scholar

Sweat, N. W., Bates, L. W., and Hendricks, P. S. (2016). The Associations of Naturalistic Classic Psychedelic Use, Mystical Experience, and Creative Problem Solving. Journal of Psychoactive Drugs, 48(5), 344–350.Google Scholar

Takahashi, K., and Watanabe, K. (2013). Gaze Cueing by Pareidolia Faces. i-Perception, 4, 490–492.Google Scholar

Tan, M., and Gan, T. J. (2016). Opioid-Induced Hallucination: Distressful or Sought After? Anaesthesia and Analgesia, 123(4), 818–819.Google Scholar

Teaktong, T., Piggott, M. A., Mckeith, I. G., et al. (2005). Muscarinic M2 and M4 Receptors in Anterior Cingulate Cortex: Relation to Neuropsychiatric Symptoms in Dementia with Lewy Bodies. Behavioural Brain Research, 161(2), 299–305.Google Scholar

ten Berge, J. (2002). Jekyll and Hyde Revisited: Paradoxes in the Appreciation of Drug Experiences and Their Effects on Creativity. Journal of Psychoactive Drugs, 34(3), 249–262.Google Scholar

Thirion, B., Duchesnay, E., Hubbard, E., et al. (2006). Inverse Retinotopy: Inferring the Visual Content of Images from Brain Activation Patterns. Neuroimage, 33, 1104–1116.Google Scholar

Thomson, C., Wilson, R., Collerton, D., Freeston, M., and Dudley, R. (2017). Cognitive Behavioural Therapy for Visual Hallucinations: An Investigation using a Single-Case Experimental Design. The Cognitive Behaviour Therapist, 10.Google Scholar

Uchiyama, M., Nishio, Y., Yokoi, K., et al. (2012). Pareidolias: Complex Visual Illusions in Dementia with Lewy Bodies. Brain, 135, 2458–2469.Google Scholar

Uchiyama, M., Nishio, Y., Yokoi, K.(2015). Pareidolia in Parkinson’s Disease without Dementia: A Positron Emission Tomography Study. Parkinsonism and Related Disorders, 21, 603–609.Google Scholar

van Os, J., Linscott, R. J., Myin-Germeys, I., Delespaul, P., and Krabbendam, L. (2009). A Systematic Review and Meta-Analysis of the Psychosis Continuum: Evidence for a Psychosis Proneness–Persistence–Impairment Model of Psychotic Disorder. Psychological Medicine, 39(2), 179–195.Google Scholar

Varrone, A., Svenningsson, P., Marklund, P., et al. (2015). 5-HT1B Receptor Imaging and Cognition: A Positron Emission Tomography Study in Control Subjects and Parkinson’s Disease Patients. Synapse, 69(7), 365–374.Google Scholar

Vickers, N. (2015). Opium as a Literary Stimulant: The Case of Samuel Taylor Coleridge. International Review Neurobiology, 120, 327–338.Google Scholar

Volf, N. V., Kulikov, A. V., Bortsov, C. U., and Popova, N. K. (2009). Association of Verbal and Figural Creative Achievement with Polymorphism in the Human Serotonin Transporter Gene. Neuroscience Letters, 463(2), 154–157.Google Scholar

Vollenweider, F. X., Vontobel, P., Hell, D., and Leenders, K. L. (1999). 5-HT Modulation of Dopamine Release in Basal Ganglia in Psilocybin-Induced Psychosis in Man – a PET study with [11 C]raclopride. Neuropsychopharmacology, 20(5), 424–433.Google Scholar

Waters, F., Collerton, D., Ffytche, D. H., et al. (2014). Visual Hallucinations in the Psychosis Spectrum and Comparative Information from Neurodegenerative Disorders and Eye Disease. Schizophrenia Bulletin, 40(suppl 4), S233–S245.Google Scholar

Webster, R., and Holroyd, S. (2000). Prevalence of Psychotic Symptoms in Delirium. Psychosomatics, 41(6), 519–522.Google Scholar

Wiebe, T. H., Sigurdson, E. S., and Katz, L. Y. (2006). Angel’s Trumpet (Datura stramonium) Poisoning and Delirium in Adolescents in Winnipeg, Manitoba: Summer 2006. Paediatrics and Child Health, 13(3), 193–196.Google Scholar

Wood, L. D. (2010). Clinical Review and Treatment of Select Adverse Effects of Dopamine Receptor Agonists in Parkinson’s Disease. Drugs & Aging, 27(4), 295–310.Google Scholar

Yokoi, K., Nishio, Y., Uchiyama, M., et al. (2014). Hallucinators Find Meaning in Noises: Pareidolic Illusions in Dementia with Lewy Bodies. Neuropsychologia, 56(1), 245–254.Google Scholar

References

Acar, S., Chen, X., and Cayirdag, N. (2018). Schizophrenia and Creativity: A Meta-Analytic Review. Schizophrenia Research, 195, 23–31.Google Scholar

Acredolo, L., Goodwyn, S., and Fulmer, A. (1995). Why Some Children Create Imaginary Companions: Clues from Infant and Toddler Play Preferences. Poster presented at the biennial meetings of the Society for Research in Child Development, Indianapolis, IN.Google Scholar

Alonso-Solís, A., Vives-Gilabert, Y., Grasa, E., et al. (2015). Resting-State Functional Connectivity Alterations in the Default Network of Schizophrenia Patients with Persistent Auditory Verbal Hallucinations. Schizophrenia Research, 161, 261–268.Google Scholar

Arzy, S., Mohr, C., Molnar-Szakacs, I., and Blanke, O. (2011). Schizotypal Perceptual Aberrations of Time: Correlation between Score, Behavior and Brain Activity. PLoS One, 6, e16154.Google Scholar

Baas, M., Nijstad, B. A., Boot, N. C., and de Dreu, C. K. (2016). Mad Genius Revisited: Vulnerability to Psychopathology, Biobehavioral Approach-Avoidance, and Creativity. Psychological Bulletin, 142(6), 668.Google Scholar

Barnes, J. L., and Baron-Cohen, S. (2012). The Big Picture: Storytelling Ability in Adults with Autism Spectrum Conditions. Journal of Autism and Developmental Disorders, 42, 1557–1565.Google Scholar

Baron-Cohen, S. (2009). Autism: The Empathizing-Systemizing (E-S) Theory. Annals of the New York Academy of Sciences, 1156, 68–80.Google Scholar

Baron-Cohen, S., and Lombardo, M. V. (2017). Autism and Talent: The Cognitive and Neural Basis of Systemizing. Dialogues in Clinical Neuroscience, 19(4), 345.Google Scholar

Batey, M., and Furnham, A. (2006). Creativity, Intelligence, and Personality: A Critical Review of the Scattered Literature. Genetic, Social, and General Psychology Monographs, 132(4), 355–429.Google Scholar

Birchwood, M., Meaden, A., Trower, P., Gilbert, P., and Plaistow, J. (2000). The Power and Omnipotence of Voices: Subordination and Entrapment by Voices and Significant Others. Psychological Medicine, 30, 337–344.Google Scholar

Bonne, O., Canetti, L., Bachar, E., De-Nour, A. K., and Shalev, A. (1999). Childhood Imaginary Companionship and Mental Health in Adolescence. Child Psychiatry and Human Development, 29, 277–286.Google Scholar

Bottema-Beutel, K., and White, R. (2016). By the Book: An Analysis of Adolescents with Autism Spectrum Condition Co-Constructing Fictional Narratives with Peers. Journal of Autism and Developmental Disorders, 46(2), 361–377.Google Scholar

Boucher, J. (2007). Memory and Generativity in Very High Functioning Autism: A Firsthand Account, and an Interpretation. Autism, 11(3), 255–264.Google Scholar

Brébion, G., Ohlsen, R. I., Pilowsky, L. S., and David, A. S. (2008). Visual Hallucinations in Schizophrenia: Confusion between Imagination and Perception. Neuropsychologia, 22, 383.Google Scholar

Brewin, C. R., and Soni, M. (2011). Gender, Personality, and Involuntary Autobiographical Memory. Memory, 19, 559–565.Google Scholar

Broyd, S. J., Demanuele, C., Debener, S., et al. (2009). Default-Mode Brain Dysfunction in Mental Disorders: A Systematic Review. Neuroscience and Biobehavioral Reviews, 33, 279–296.Google Scholar

Brugger, P., and Mohr, C. (2008). The Paranormal Mind: How the Study of Anomalous Experiences and Beliefs May Inform Cognitive Neuroscience. Cortex, 44, 1291–1298.Google Scholar

Buckner, R. L., Andrews-Hanna, J. R., and Schacter, D. L. (2008). The Brain’s Default Network. Annals of the New York Academy of Sciences, 1124, 1–38.Google Scholar

Campbell, B. C., and Wang, S. S. (2012). Familial Linkage between Neuropsychiatric Disorders and Intellectual Interests. PloS One, 7, e30405.Google Scholar

Carlson, S. M., Mandell, D. J., and Williams, L. (2004). Executive Function and Theory of Mind: Stability and Prediction From Ages 2 to 3. Developmental Psychology, 40, 1105.Google Scholar

Carlson, S. M., Tahiroglu, D., and Taylor, M. (2008). Links between Dissociation and Role Play in a Nonclinical Sample of Preschool Children. Journal of Trauma Dissociation, 9, 149–171.Google Scholar

Carson, S. H. (2011). Creativity and Psychopathology: A Shared Vulnerability Model. Canadian Journal of Psychiatry, 56, 144–153.Google Scholar

Choi-Kain, L. W., and Gunderson, J. G. (2008). Mentalization: Ontogeny, Assessment, and Application in the Treatment of Borderline Personality Disorder. American Journal of Psychiatry, 165, 1127–1135.Google Scholar

Clark, S. V., Mittal, V. A., Bernard, J. A., et al. (2018). Stronger Default Mode Network Connectivity Is Associated with Poorer Clinical Insight in Youth at Ultra High Risk for Psychotic Disorders. Schizophrenia Research, 193, 244–250.Google Scholar

Coleman, J. R., Bryois, J., Gaspar, H. A., et al. (2018). Biological Annotation of Genetic Loci Associated with Intelligence in a Meta-Analysis of 87,740 Individuals. Molecular Psychiatry, 1.Google Scholar

Collerton, D., Perry, E., and McKeith, I. (2005). Why People See Things That Are Not There: A Novel Perception and Attention Deficit Model for Recurrent Complex Visual Hallucinations. The Behavioral and Brain Sciences, 28, 737–757.Google Scholar

Conway, M., Meares, K., and Standart, S. (2004). Images and Goals. Memory, 12, 525–531.Google Scholar

Cooper, R. A., and Simons, J. S. (2019). Exploring the Neurocognitive Basis of Episodic Recollection in Autism. Psychonomic Bulletin & Review, 26(1), 163–181. doi:10.3758/s13423-018-1504-z.Google Scholar

Craig, J., and Baron-Cohen, S. (1999). Creativity and Imagination in Autism and Asperger Syndrome. Journal of Autism and Developmental Disorders, 29, 319–326.Google Scholar

Craig, J., Baron-Cohen, S., and Scott, F. (2000). Story-Telling Ability in Autism: A Window into the Imagination. Israel Journal of Psychiatry, 37, 64–70.Google Scholar

Crespi, B. J. (2016a). Autism as a Disorder of High Intelligence. Frontiers in Neuroscience, 10, 300.Google Scholar

Crespi, B. J.(2016b). The Evolutionary Etiologies of Autism Spectrum and Psychotic Affective Spectrum Disorders. In Alvergne, A, Jenkinson, C, and Faurie, C (eds.), Evolutionary Thinking in Medicine: From Research to Policy and Practice. Cham, Switzerland: Springer International Publishing AG, 299–327.Google Scholar

Crespi, B., and Badcock, C. (2008). Psychosis and Autism as Diametrical Disorders of the Social Brain. The Behavioral and Brain Sciences, 31, 241–261.Google Scholar

Crespi, B., Leach, E., Dinsdale, N., Mokkonen, M., and Hurd, P. (2016). Imagination in Human Social Cognition, Autism, and Psychotic-Affective Conditions. Cognition, 150, 181–199.Google Scholar

Currie, G. (2000). Imagination, Delusion and Hallucinations. Mind & Language, 15, 168–183.Google Scholar

Currie, G., and Jureidini, J. (2003). Art and Delusion. The Monist, 86(4), 556–578.Google Scholar

Currie, G., and Ravenscroft, I. (2002). Recreative Minds: Imagination in Philosophy and Psychology. Oxford, UK: Oxford University Press.Google Scholar

Daniel, C., and Mason, O. J. (2015). Predicting Psychotic-Like Experiences during Sensory Deprivation. BioMed Research International, 2015, 439379.Google Scholar

Davis, P. E., Simon, H., Meins, E., and Robins, D. L. (2018). Imaginary Companions in Children with Autism Spectrum Disorder. Journal of Autism and Developmental Disorders, 48(8), 2790–2799.Google Scholar

de Oliveira, H., Cuervo-Lombard, C., Salamé, P., and Danion, J. (2009). Autonoetic Awareness Associated with the Projection of the Self into the Future: An Investigation in Schizophrenia. Psychiatry Research, 169, 86–87.Google Scholar

Dentico, D., Cheung, B. L., Chang, J., et al. (2014). Reversal of Cortical Information Flow during Visual Imagery as Compared to Visual Perception. NeuroImage, 100, 237–243.Google Scholar

DeYoung, C. G., Grazioplene, R. G., and Peterson, J. B. (2012). From Madness to Genius: The Openness/Intellect Trait Domain as a Paradoxical Simplex. Journal of Research in Personality, 46(1), 63–78.Google Scholar

Dichter, G. S., Lam, K. S. L., Turner-Brown, L. M., et al. (2009). Generativity Abilities Predict Communication Deficits but not Repetitive Behaviors in Autism Spectrum Disorders. Journal of Autism and Developmental Disorders, 39, 1298–1304.Google Scholar

Dickerson, A. S., Pearson, D. A., Loveland, K. A., et al. (2014). Role of Parental Occupation in Autism Spectrum Disorder Diagnosis and Severity. Research in Autism Spectrum Disorders, 8, 997–1007.Google Scholar

Dierker, L. C., Davis, K. F., and Sanders, B. (1995). The Imaginary Companion Phenomenon: An Analysis of Personality Correlates and Developmental Antecedents. Dissociation, 4, 220–228.Google Scholar

Elsworth, C. (2013). We Did Not Know That Our Schizophrenic Daughter January Schofield’s Imaginary Friends Were Hallucinations. The Telegraph, January 27. www.telegraph.co.uk/news/health/children/9828583/We-did-not-know-that-our-schizophrenic-daughter-January-Schofields-imaginary-friends-were-hallucinations.html.Google Scholar

Ferretti, F., Adornetti, I., Chiera, A., et al. (2018). Time and Narrative: An Investigation of Storytelling Abilities in Children with Autism Spectrum Disorder. Frontiers in Psychology, 9, 944.Google Scholar

Fink, A., Weber, B., Koschutnig, K., et al. (2014). Creativity and Schizotypy from the Neuroscience Perspective. Cognitive, Affective & Behavioral Neuroscience, 14, 378–387.Google Scholar

Frith, U. (2012). Why We Need Cognitive Explanations of Autism. The Quarterly Journal of Experimental Psychology, 65, 2073–2092.Google Scholar

Fyfe, S., Williams, C., Mason, O. J., and Pickup, G. J. (2008). Apophenia, Theory of Mind and Schizotypy: Perceiving Meaning and Intentionality in Randomness. Cortex, 44, 1316–1325.Google Scholar

Gleason, T. R., Jarudi, R. N., and Cheek, J. M. (2003). Imagination, Personality, and Imaginary Companions. Social Behavior and Personality, 31, 721–737.Google Scholar

Goddard, L., Howlin, P., Dritschel, B., and Patel, T. (2007). Autobiographical Memory and Social Problem-Solving in Asperger Syndrome. Journal of Autism and Developmental Disorders, 37, 291–300.Google Scholar

Grandin, T. (1995). Thinking in Pictures. New York, NY: Vintage Press Random House.Google Scholar

Grandin, T.(2009). How Does Visual Thinking Work in the Mind of a Person with Autism? A Personal Account. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 364, 1437–1442.Google Scholar

Greicius, M. D., and Menon, V. (2004). Default-Mode Activity during a Passive Sensory Task: Uncoupled from Deactivation but Impacting Activation. Journal of Cognitive Neuroscience, 16, 1484–1492.Google Scholar

Guo, W., Liu, F., Chen, J., et al. (2017). Hyperactivity of the Default-Mode Network in First-Episode, Drug-Naive Schizophrenia at Rest Revealed by Family-Based Case-Control and Traditional Case-Control Designs. Medicine, 96(13).Google Scholar

Hach, S., Tippett, L. J., and Addis, D. R. (2014). Neural Changes Associated with the Generation of Specific Past and Future Events in Depression. Neuropsychologia, 65, 41–55.Google Scholar

Hanson, L. K., and Atance, C. M. (2014). Brief Report: Episodic Foresight in Autism Spectrum Disorder. Journal of Autism and Developmental Disorders, 44, 674–684.Google Scholar

Happé, F., and Frith, U. (2006). The Weak Coherence Account: Detail-Focused Cognitive Style in Autism Spectrum Disorders. Journal of Autism and Developmental Disorders, 36, 5–25.Google Scholar

Hoff, E. V. (2005). Imaginary Companions, Creativity, and Self-Image in Middle Childhood. Creativity Research Journal, 17, 167–180.Google Scholar

Ivins, A., Di Simplicio, M., Close, H., Goodwin, G. M., and Holmes, E. (2014). Mental Imagery in Bipolar Affective Disorder versus Unipolar Depression: Investigating Cognitions at Times of “Positive” Mood. Journal of Affective Disorders, 166, 234–242.Google Scholar

Jarrold, C. (2003). A Review of Research into Pretend Play in Autism. Autism, 7, 379–390.Google Scholar

Jarrold, C., Boucher, J., and Smith, P. K. (1996). Generativity Deficits in Pretend Play in Autism. British Journal of Developmental Psychology, 14, 275–300.Google Scholar

Jauk, E., Neubauer, A. C., Dunst, B., Fink, A., and Benedek, M. (2015). Gray Matter Correlates of Creative Potential: A Latent Variable Voxel-Based Morphometry Study. NeuroImage, 111, 312–320.Google Scholar

Javitt, D. C. (2009a). When Doors of Perception Close: Bottom-Up Models of Disrupted Cognition in Schizophrenia. Annual Review of Clinical Psychology, 5, 249–275.Google Scholar

Javitt, D. C.(2009b). Sensory Processing in Schizophrenia: Neither Simple nor Intact. Schizophrenia Bulletin, 35, 1059–1064.Google Scholar

Jensen, J., and Kapur, S. (2009). Salience and Psychosis: Moving from Theory to Practise: A Commentary on: “Do Patients with Schizophrenia Exhibit Aberrant Salience?” by Roiser et al. (2008). Psychological Medicine, 39(2), 197–198.Google Scholar

Johnson, S. L., Edge, M. D., Holmes, M. K., and Carver, C. S. (2012). The Behavioral Activation System and Mania. Annual Review of Clinical Psychology, 8, 243–267.Google Scholar

Jolliffe, T., and Baron-Cohen, S. (1999). A Test of Central Coherence Theory: Linguistic Processing in High-Functioning Adults with Autism or Asperger Syndrome: Is Local Coherence Impaired? Cognition, 71, 149–185.Google Scholar

Jones, V., and Steel, C. (2012). Schizotypal Personality and Vulnerability to Involuntary Autobiographical Memories. Journal of Behavior Therapy and Experimental Psychiatry, 43, 871–876.Google Scholar

Jung, R. E., and Haier, R. J. (2007). The Parieto-Frontal Integration Theory (P-FIT) of Intelligence: Converging Neuroimaging Evidence. Behavioral and Brain Sciences, 30(2), 135–154.Google Scholar

Kana, R. K., Libero, L. E., Hu, C. P., Deshpande, H. D., and Colburn, J. S. (2014). Functional Brain Networks and White Matter Underlying Theory-of-Mind in Autism. Social Cognitive and Affective Neuroscience, 9, 98–105.Google Scholar

Kanner, L. (1943). Autistic Disturbances of Affective Contact. The Nervous Child, 2, 217–250. Reprinted (1968) in Acta Paedopsychiatrica, 35, 100–136.Google Scholar

Karbasforoushan, H., and Woodward, N. D. (2012). Resting-State Networks in Schizophrenia. Current Topics in Medicinal Chemistry, 12, 2404–2414.Google Scholar

Kasari, C., Chang, Y. C., and Patterson, S. (2013). Pretending to Play or Playing to Pretend: The Case of Autism. American Journal of Play, 6(1), 124.Google Scholar

Kennedy, D. P., and Courchesne, E. (2008). Functional Abnormalities of the Default Network during Self- and Other-Reflection in Autism. Social Cognitive and Affective Neuroscience, 3, 177–190.Google Scholar

King, M. J., Williams, L., MacDougall, A. G., et al. (2011). Patients with Bipolar Disorder Show a Selective Deficit in the Episodic Simulation of Future Events. Consciousness and Cognition, 20, 1801–1807.Google Scholar

Krapohl, E., Euesden, J., Zabaneh, D., et al. (2016). Phenome-Wide Analysis of Genome-Wide Polygenic Scores. Molecular Psychiatry, 21(9), 1188.Google Scholar

Kunihira, Y., Senju, A., Dairoku, H., Wakabayashi, A., and Hasegawa, T. (2006). “Autistic” Traits in Non-Autistic Japanese Populations: Relationships with Personality Traits and Cognitive Ability. Journal of Autism and Developmental Disorders, 36(4), 553–566.Google Scholar

Kyaga, S. (2014). Creativity and Mental Illness: The Mad Genius in Question. Hampshire, UK: Palgrave Macmillan.Google Scholar

Landin-Romero, R., McKenna, P. J., Salgado-Pineda, P., et al. (2014). Failure of Deactivation in the Default Mode Network: A Trait Marker for Schizophrenia? Psychological Medicine, 45(6), 1315–1325.Google Scholar

MacCabe, J. H., Sariaslan, A., Almqvist, C., et al. (2018). Artistic Creativity and Risk for Schizophrenia, Bipolar Disorder and Unipolar Depression: A Swedish Population-Based Case–Control Study and Sib-Pair Analysis. The British Journal of Psychiatry, 212(6), 370–376.Google Scholar

Markram, K., and Markram, H. (2010). The Intense World Theory – A Unifying Theory of the Neurobiology of Autism. Frontiers in Human Neuroscience, 4 : 224.Google Scholar

Matthews, N.L., Collins, K. P., Thakkar, K. N., and Park, S. (2014). Visuospatial Imagery and Working Memory in Schizophrenia. Cognitive Neuropsychiatry, 19, 17–35.Google Scholar

McGill, B., and Moulds, M. L. (2014). Characteristics of Autobiographical Memories and Prospective Imagery across a Spectrum of Hypomanic Personality Traits. Memory, 22, 1139–1148.Google Scholar

Meyer, M. L., Davachi, L., Ochsner, K. N., and Lieberman, M. D. (2019). Evidence that Default Network Connectivity during Rest Consolidates Social Information. Cerebral Cortex, 29(5), 1910–1920. doi.org/10.1093/cercor/bhy071.Google Scholar

Meyer, T. D., Finucane, L., and Jordan, G. (2011). Is Risk for Mania Associated with Increased Daydreaming as a Form of Mental Imagery? Journal of Affective Disorders, 135, 380–383.Google Scholar

Mottron, L., Dawson, M., and Soulières, I. (2009). Enhanced Perception in Savant Syndrome: Patterns, Structure and Creativity. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 364, 1385–1391.Google Scholar

Mottron, L., Dawson, M., Soulières, I., Hubert, B., and Burack, J. A. (2006). Enhanced Perceptual Functioning in Autism: An Update, and Eight Principles of Autistic Perception. Journal of Autism and Developmental Disorders, 36, 27–43.Google Scholar

Mullally, S. L., and Maguire, E. A. (2013). Memory, Imagination, and Predicting the Future: A Common Brain Mechanism? Neuroscientist, 20, 220–234.Google Scholar

Nesse, R. M. (2000). Is Depression an Adaptation? Archives of General Psychiatry, 57(1), 14–20.Google Scholar

Nettle, D. (2001). Strong Imagination: Madness, Creativity and Human Nature. New York, NY: Oxford University Press.Google Scholar

Neufeld, J., Kuja-Halkola, R., Mevel, K., et al. (2017). Alterations in Resting State Connectivity Along the Autism Trait Continuum: A Twin Study. Molecular Psychiatry [Epub ahead of print]. doi:10.1038/mp.2017.160.Google Scholar

Peeters, S. C., van de Ven, V., Gronenschild, E. H., et al. (2015). Default Mode Network Connectivity as a Function of Familial and Environmental Risk for Psychotic Disorder. PLoS One, 10, e0120030.Google Scholar

Pignon, B., Geoffroy, P. A., Gharib, A., et al. (2018). Very Early Hallucinatory Experiences: A School‐Based Study. Journal of Child Psychology and Psychiatry, 59(1), 68–75.Google Scholar

Power, R. A., Steinberg, S., Bjornsdottir, G., et al. (2015). Polygenic Risk Scores for Schizophrenia and Bipolar Disorder Predict Creativity. Nature Neuroscience, 18(7), 953.Google Scholar

Raffard, S., D’Argembeau, A., Lardi, C., et al. (2010). Narrative Identity in Schizophrenia. Consciousness and Cognition, 19, 328–340.Google Scholar

Roth, I. (2007). Autism and the Imaginative Mind. In Roth, I (ed.), Proceedings of the British Academy: Imaginative Minds. Oxford, UK: Oxford University Press, 277–306.Google Scholar

Sahyoun, C. P., Belliveau, J. W., Soulières, I., Schwartz, S., and Mody, M. (2010). Neuroimaging of the Functional and Structural Networks Underlying Visuospatial vs. Linguistic Reasoning in High-Functioning Autism. Neuropsychologia, 48, 86–95.Google Scholar

Santarnecchi, E., Emmendorfer, A., and Pascual-Leone, A. (2017). Dissecting the Parieto-Frontal Correlates of Fluid Intelligence: A Comprehensive ALE Meta-Analysis Study. Intelligence, 63, 9–28.Google Scholar

Schacter, D. L., Addis, D. R., Hassabis, D., et al. (2012). The Future of Memory: Remembering, Imagining, and the Brain. Neuron, 76, 677–694.Google Scholar

Scott, F. J., and Baron-Cohen, S. (1996). Imagining Real and Unreal Things: Evidence of a Dissociation in Autism. Journal of Cognitive Neuroscience, 8, 371–382.Google Scholar

Simeonova, D. I., Chang, K. D., Strong, C., and Ketter, T. A. (2005). Creativity in Familial Bipolar Disorder. Journal of Psychiatric Research, 39(6), 623–631.Google Scholar

Slotnick, S. D., Thompson, W. L., and Kosslyn, S. M. (2012). Visual Memory and Visual Mental Imagery Recruit Common Control and Sensory Regions of the Brain. Cognitive Neuroscience, 3, 14–20.Google Scholar

Snyder, A. W., and Thomas, M. (1997). Autistic Artists Give Clues to Cognition. Perception, 26, 93–96.Google Scholar

Soulières, I., Dawson, M., Samson, F., et al. (2009). Enhanced Visual Processing Contributes to Matrix Reasoning in Autism. Human Brain Mapping, 30, 4082–4107.Google Scholar

Spek, A. A., and Velderman, E. (2013). Examining the Relationship between Autism Spectrum Disorders and Technical Professions in High Functioning Adults. Research in Autism Spectrum Disorders, 7, 606–612.Google Scholar

Spencer, M. D., Chura, L. R., Holt, R. J., et al. (2012). Failure to Deactivate the Default Mode Network Indicates a Possible Endophenotype of Autism. Molecular Autism, 3, 1–9.Google Scholar

Takeuchi, H., Taki, Y., Hashizume, H., et al. (2011). Failing to Deactivate: The Association between Brain Activity during a Working Memory Task and Creativity. NeuroImage, 55, 681–687.Google Scholar

Tanweer, T., Rathbone, C. J., and Souchay, C. (2010). Autobiographical Memory, Autonoetic Consciousness, and Identity in Asperger Syndrome. Neuropsychologia, 48(4), 900–908.Google Scholar

Tavassoli, T., Miller, L. J., Schoen, S. A., Nielsen, D. M., and Baron-Cohen, S. (2014). Sensory Over-Responsivity in Adults with Autism Spectrum Conditions. Autism, 18(4), 428–432.Google Scholar

Taylor, C. L. (2017). Creativity and Mood Disorder: A Systematic Review and Meta-Analysis. Perspectives on Psychological Science, 12(6), 1040–1076.Google Scholar

Taylor, E. H. (1998). Advances in the Diagnosis and Treatment of Children with Serious Mental Illness. Child Welfare, 77(3), 311–332.Google Scholar

Taylor, M., and Carlson, S. M. (1997). The Relation between Individual Differences in Fantasy and Theory of Mind. Child Development, 68, 436–455.Google Scholar

Ten Eycke, K. D., and Müller, U. (2015). Brief Report: New Evidence for a Social-Specific Imagination Deficit in Children with Autism Spectrum Disorder. Journal of Autism and Developmental Disorders, 45, 213–220.Google Scholar

Terrett, G., Rendell, P. G., Raponi-Saunders, S., et al. (2013). Episodic Future Thinking in Children with Autism Spectrum Disorder. Journal of Autism and Developmental Disorders, 43, 2558–2568.Google Scholar

van Os, J. (2009). “Salience Syndrome” Replaces “Schizophrenia” in DSM-V and ICD-11: Psychiatry’s Evidence-Based Entry into the 21st Century? Acta Psychiatrica Scandinavica, 120, 363–372.Google Scholar

Vygotsky, L. S. (2004). Imagination and Creativity in Childhood. Journal of Russian and East European Psychology, 42, 7–97.Google Scholar

Wagner-Martin, L. (1987). Sylvia Plath: A Biography. New York, NY: St. Martin’s Griffin.Google Scholar

Warrier, V., Toro, R., Chakrabarti, B., et al. (2018). Genome-Wide Analyses of Self-Reported Empathy: Correlations with Autism, Schizophrenia, and Anorexia Nervosa. Translational Psychiatry, 8(1), 35.Google Scholar

Wible, C. G. (2012a). Schizophrenia as a Disorder of Social Communication. Schizophrenia Research and Treatment, 2012, 920485.Google Scholar

Wible, C. G.(2012b). Hippocampal Temporal-Parietal Junction Interaction in the Production of Psychotic Symptoms: A Framework for Understanding the Schizophrenic Syndrome. Frontiers in Human Neuroscience, 6.Google Scholar

Winfield, H., and Kamboj, S. K. (2010). Schizotypy and Mental Time Travel. Consciousness and Cognition, 19, 321–327.Google Scholar

Wise, R. J. S., and Braga, R. M. (2014). Default Mode Network: The Seat of Literary Creativity? Trends in Cognitive Sciences, 18, 116–117.Google Scholar

Wolfberg, P. J. (2009). Play and Imagination in Children with Autism. Shawnee Mission, KS: AAPC Publishing.Google Scholar

Woodard, C. R., Chung, J., and Korn, M. (2014). A Pilot Study of the Meta-Play Method: A Novel Play Intervention for Toddlers with Autism. Journal of Autism, 1, 3.Google Scholar

References

Abraham, A. (2016). The Imaginative Mind. Human Brain Mapping, 37(11), 4197–4211. doi.org/10.1002/hbm.23300.Google Scholar

Crangle, E. F. (1994). The Origin and Development of Early Indian Contemplative Practices. Wiesbaden, Germany: Otto Harrassowitz Verlag.Google Scholar

Dennett, D. (1978). Two Approaches to Mental Images. In Brainstorms: Philosophical Essays on Mind and Psychology. Cambridge, MA: MIT Press.Google Scholar

Dvivedi, V. V. (ed.). (1992). Mahārthamañjarī of Maheśvarānanda. With the Auto-Commentary, Parimala. Varanasi, India: Sampurnananda University.Google Scholar

Fodor, J. (1975). Imagistic Representation. In Block, N (ed.), The Language of Thought. Cambridge, MA.: Harvard University Press, 63–86.Google Scholar

Gregory, D. (2016). Imagination and Mental Imagery. In Kind, A (ed.), The Routledge Handbook of Philosophy of Imagination. London, UK; New York, NY: Routledge, 97–110.Google Scholar

Hayes, G. A. (2006). The Guru’s Tongue: Metaphor, Imagery, and Vernacular Language in Vaiṣṇava Sahajiyā Traditions. Pacific World: Journal of the Institute of Buddhist Studies, 3(8), 41–71.Google Scholar

Hayes, G. A.(2013). Possible Selves, Body Schemas, and Sādhana: Using Neuroscience in the Study of Medieval Vaiṣṇava Hindu Tantric Texts. Religions, 2014(5), 684–699. doi:10.3390/rel5030684.Google Scholar

Kind, A. (2016). Introduction. The Routledge Handbook of Philosophy of Imagination. London, UK; New York, NY: Routledge, 1–11.Google Scholar

Kosslyn, S. M. (1980). Image and Mind. Cambridge, MA: Harvard University Press.Google Scholar

Pylyshyn, Z. (1978). Imagery and Artificial Intelligence. In Wade Savage, C (ed.), Perception and Cognition: Issues in the Foundation of Psychology. Minneapolis, MN: University of Minnesota Press, 19–56.Google Scholar

Shastri, M. R. (ed.) (1918). Tantrasāra of Abhinavagupta. Bombay, India: Nirnaya Sagar Press.Google Scholar

Shulman, D. (2012). More than Real: A History of the Imagination in South India. Cambridge, MA: Harvard University Press.Google Scholar

Stevenson, L. (2003). Twelve Conceptions of Imagination. The British Journal of Aesthetics, 43(3), 238–259. doi.org/10.1093/bjaesthetics/43.3.238.Google Scholar

Timalsina, S. (2005). Meditating Mantras: Meaning and Visualization in Tantric Literature. In Jacobsen, K. A. (ed.), Theory and Practice of Yoga: Essays in Honour of Gerard James Larson. Leiden, Netherlands: Brill, 213–236.Google Scholar

Timalsina, S. (2006). Seeing and Appearance: History of the Advaita Doctrine of Dṛṣṭisṛṣṭi. Indo-Halle Series 10. Aachen, Germany: Shaker Verlag.Google Scholar

Timalsina, S. (2007). Metaphors, Rasa, and Dhvani: Suggested Meaning in Tantric Esotericism. Method and Theory in the Study of Religion, 19(1–2), 134–162.Google Scholar

Timalsina, S. (2013). Gauḍapāda on Imagination. Journal of Indian Philosophy, 41(6), 591–602.Google Scholar

Timalsina, S.(2015a). Tantric Visual Culture: A Cognitive Approach. London, UK: Routledge.Google Scholar

Timalsina, S.(2015b). Language of Images: Visualization and Meaning in Tantras. New York, NY: Peter Lang.Google Scholar

Timalsina, S.(2017). Visualization in Hindu Practice. Oxford Research Encyclopedia of Religion.Google Scholar

References

Abraham, A. (2016). The Imaginative Mind. Human Brain Mapping, 37(11), 4197–4211.Google Scholar

Beaty, R. E., Kenett, Y. N., Christensen, A. P., et al. (2018). Robust Prediction of Individual Creative Ability from Brain Functional Connectivity. Proceedings of the National Academy of Sciences of the United States of America, 115(5), 1087–1092.Google Scholar

Beilock, S. L., Carr, T. H., MacMahon, C., and Starkes, J. L. (2002). When Paying Attention becomes Counterproductive: Impact of Divided versus Skill-Focused Attention on Novice and Experienced Performance of Sensorimotor Skills. Journal of Experimental Psychology-Applied, 8(1), 6–16.Google Scholar

Butković, A., Ullén, F., and Mosing, M. A. (2015). Personality and Related Traits as Predictors of Music Practice: Underlying Environmental and Genetic Influences. Personality and Individual Differences, 74, 133–138.Google Scholar

Clarke, E. F. (1988). Generative Principles in Music Performance. In Sloboda, J. A. (ed.), Generative Processes in Music: The Psychology of Performance, Improvisation, and Composition. New York, NY: Clarendon Press/Oxford University Press, 1–26.Google Scholar

Cseh, G. M., Phillips, L. H., and Pearson, D. G. (2015). Flow, Affect and Visual Creativity. Cognition & Emotion, 29(2), 281–291.Google Scholar

Csíkszentmihályi, M. (1990). Flow: The Psychology of Optimal Experience. New York, NY: Harper & Row.Google Scholar

Csíkszentmihályi, M.(1997). Creativity: Flow and the Psychology of Discovery and Invention. New York, NY: HarperPerennial.Google Scholar

Csíkszentmihályi, M.(2014). The Systems Model of Creativity: The Collected Works of Mihaly Csikszentmihalyi. New York, NY: Springer.Google Scholar

Csíkszentmihályi, M., and Getzels, J. W. (1970). Concern for Discovery – An Attitudinal Component of Creative Production. Journal of Personality, 38(1), 91–105.Google Scholar

de Manzano, Ö., Cervenka, S., Jucaite, A., et al. (2013). Individual Differences in the Proneness to Have Flow Experiences Are Linked to Dopamine D2-Receptor Availability in the Striatum. NeuroImage, 67, 1–6.Google Scholar

de Manzano, Ö., Theorell, T., Harmat, L., and Ullén, F. (2010). The Psychophysiology of Flow during Piano Playing. Emotion, 10(3), 301–311.Google Scholar

de Manzano, Ö., and Ullén, F. (2018). Same Genes, Different Brains: Neuroanatomical Differences between Monozygotic Twins Discordant for Musical Training. Cerebral Cortex, 28(1), 387–394.Google Scholar

Dietrich, A. (2004). Neurocognitive Mechanisms Underlying the Experience of Flow. Consciousness and Cognition, 13(4), 746–761.Google Scholar

Doyon, J., and Benali, H. (2005). Reorganization and Plasticity in the Adult Brain during Learning of Motor Skills. Current Opinion in Neurobiology, 15, 161–167.Google Scholar

Eysenck, H. J. (1995). Genius. The Natural History of Creativity. Volume 12. Cambridge, UK: Cambridge University Press.Google Scholar

Feist, G. J. (1999). The Influence of Personality on Artistic and Scientific Creativity. In Sternberg, R. J. (ed.), Handbook of Creativity. Cambridge, UK: Cambridge University Press, 273–296.Google Scholar

Goschke, T., and Bolte, A. (2014). Emotional Modulation of Control Dilemmas: The Role of Positive Affect, Reward, and Dopamine in Cognitive Stability and Flexibility. Neuropsychologia, 62, 403–423.Google Scholar

Gray, R. (2004). Attending to the Execution of a Complex Sensorimotor Skill: Expertise Differences, Choking, and Slumps. Journal of Experimental Psychology-Applied, 10(1), 42–54.Google Scholar

Guilford, J. P., Christensen, P. R., Merrifield, P. R., and Wilson, R. C. (1960). Alternate Uses Manual. Menlo Park, CA: Mind Garden Inc.Google Scholar

Harmat, L., de Manzano, Ö., Theorell, T., et al. (2015). Physiological Correlates of the Flow Experience during Computer Game Playing. International Journal of Psychophysiology, 97, 1–7.Google Scholar

Heller, K., Bullerjahn, C., and von Georgi, R. (2015). The Relationship between Personality Traits, Flow-Experience, and Different Aspects of Practice Behavior of Amateur Vocal Students. Frontiers in Psychology, 6, 1901.Google Scholar

Herholz, S. C., Coffey, E. B., Pantev, C., and Zatorre, R. J. (2016). Dissociation of Neural Networks for Predisposition and for Training-Related Plasticity in Auditory-Motor Learning. Cerebral Cortex, 26(7), 3125–3134.Google Scholar

Jackson, S. A., and Eklund, R. C. (2004). The Flow Scales Manual. Morgantown, WV: Publishers Graphics.Google Scholar

Kahneman, D. (1973). Attention and Effort. Englewood, NJ: Prentice-Hall.Google Scholar

Keller, P. E., Dalla Bella, S., and Koch, I. (2010). Auditory Imagery Shapes Movement Timing and Kinematics: Evidence from a Musical Task. Journal of Experimental Psychology: Human Perception and Performance, 36(2), 508–513.Google Scholar

Lahav, A., Saltzman, E., and Schlaug, G. (2007). Action Representation of Sound: Audiomotor Recognition Network while Listening to Newly Acquired Actions. Journal of Neuroscience, 27(2), 308–314.Google Scholar

Land, M. F., and McLeod, P. (2000). From Eye Movements to Actions: How Batsmen Hit the Ball. Nature Neuroscience, 3(12), 1340–1345.Google Scholar

MacDonald, R., Byrne, C., and Carlton, L. (2006). Creativity and Flow in Musical Composition: An Empirical Investigation. Psychology of Music, 34(3), 292–306.Google Scholar

Marin, M. M., and Bhattacharya, J. (2013). Getting into the Musical Zone: Trait Emotional Intelligence and Amount of Practice Predict Flow in Pianists. Frontiers in Psychology, 4, 853.Google Scholar

Markham, J. A., and Greenough, W. T. (2004). Experience-Driven Brain Plasticity: Beyond the Synapse. Neuron Glia Biology, 1, 351–363.Google Scholar

Martindale, C. (1999). Biological Bases of Creativity. In Sternberg, R. J. (ed.), Handbook of Creativity. Cambridge, UK: Cambridge University Press, 137–152.Google Scholar

McGuire, J. T., and Botvinick, M. M. (2010). The Impact of Anticipated Cognitive Demand on Attention and Behavioral Choice. In Bruya, B (ed.), Effortless Attention: A New Perspective in the Cognitive Science of Attention and Action. Cambridge, MA: MIT Press, 103–120.Google Scholar

Nijstad, B. A., de Dreu, C. K. W., Rietzschel, E. F., and Baas, M. (2010). The Dual Pathway to Creativity Model: Creative Ideation as a Function of Flexibility and Persistence. European Review of Social Psychology, 21, 34–77.Google Scholar

Novembre, G., and Keller, P. E. (2014). A Conceptual Review on Action-Perception Coupling in the Musician’s Brain: What Is It Good For? Frontiers in Human Neuroscience, 8, 603.Google Scholar

Petersen, S. E., van Mier, H., Fiez, J. A., and Raichle, M. E. (1998). The Effects of Practice on the Functional Anatomy of Task Performance. Proceedings of the National Academy of Sciences of the United States of America, 95(3), 853–860.Google Scholar

Pinho, A. L., de Manzano, Ö., Fransson, P., Eriksson, H., and Ullén, F. (2014). Connecting to Create – Expertise in Musical Improvisation Is Associated with Increased Functional Connectivity between Premotor and Prefrontal Areas. Journal of Neuroscience, 34(18), 6156–6163.Google Scholar

Pinho, A. L., Ullén, F., Castelo-Branco, M., Fransson, P., and de Manzano, Ö. (2016). Addressing a Paradox: Dual Strategies for Creative Performance in Introspective and Extrospective Networks. Cerebral Cortex, 26(7), 3052–3063.Google Scholar

Raichle, M. E. (2015). The Brain’s Default Mode Network. Annual Review of Neuroscience, 38, 433–447.Google Scholar

Roy, M., Peretz, I., and Rainville, P. (2008). Emotional Valence Contributes to Music-Induced Analgesia. Pain, 134(1–2), 140–147.Google Scholar

Seamans, J. K., and Yang, C. R. (2004). The Principal Features and Mechanisms of Dopamine Modulation in the Prefrontal Cortex. Progress in Neurobiology, 74(1), 1–58.Google Scholar

Ullén, F., de Manzano, Ö., Theorell, T., and Harmat, L. (2010). The Physiology of Effortless Attention. In Bruya, B (ed.), Effortless Attention: A New Perspective in the Cognitive Science of Attention and Action. Cambridge, MA: MIT Press, 205–218.Google Scholar

Ullén, F., Hambrick, D. Z., and Mosing, M. A. (2016). Rethinking Expertise: A Multi-Factorial Gene-Environment Interaction Model of Expert Performance. Psychological Bulletin, 142(4), 427–446.Google Scholar

Ulrich, M., Keller, J., and Gron, G. (2016). Neural Signatures of Experimentally Induced Flow Experiences Identified in a Typical fMRI Block Design with BOLD Imaging. Social Cognitive and Affective Neuroscience, 11(3), 496–507.Google Scholar

Vanlessen, N., de Raedt, R., Koster, E. H. W., and Pourtois, G. (2016). Happy Heart, Smiling Eyes: A Systematic Review of Positive Mood Effects on Broadening of Visuospatial Attention. Neuroscience & Biobehavioral Reviews, 68, 816–837.Google Scholar

Vuorre, M., and Metcalfe, J. (2016). The Relation between the Sense of Agency and the Experience of Flow. Consciousness and Cognition, 43, 133–142.Google Scholar

Weber, R., Alicea, B., Huskey, R., and Mathiak, K. (2018). Network Dynamics of Attention during a Naturalistic Behavioral Paradigm. Frontiers in Human Neuroscience, 12, 182.Google Scholar

Weber, R., Tamborini, R., Westcott-Baker, A., and Kantor, B. (2009). Theorizing Flow and Media Enjoyment as Cognitive Synchronization of Attentional and Reward Networks. Communication Theory, 19, 397–422.Google Scholar

Willingham, D. B. (1998). A Neuropsychological Theory of Motor Skill Learning. Psychological Review, 105(3), 558–584.Google Scholar

Wulf, G., and Lewthwaite, R. (2010). Effortless Motor Learning?: An External Focus of Attention Enhances Movement Effectiveness and Efficiency. In Bruya, B (ed.), Effortless Attention: A New Perspective in the Cognitive Science of Attention and Action. Cambridge, MA: MIT Press, 75–101.Google Scholar

Wulf, G., and Su, J. (2007). An External Focus of Attention Enhances Golf Shot Accuracy in Beginners and Experts. Research Quarterly for Exercise and Sport, 78(4), 384–389.Google Scholar

Yasuno, F., Suhara, T., Okubo, Y., et al. (2004). Low Dopamine D(2) Receptor Binding in Subregions of the Thalamus in Schizophrenia. American Journal of Psychiatry, 161(6), 1016–1022.Google Scholar

Bibliography

Starobinski, J. (2001). La relation critique. Paris, France: Editions Gallimard.Google Scholar

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Part VI - Altered States of the Imagination

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