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6 - The Neuroscience of Creativity and Emotions

from Part II - The Development of Creativity

Published online by Cambridge University Press:  16 February 2023

By
Evangelia G. Chrysikou ,
Alexandra E. Kelly  and
Indre V. Viskontas
Edited by
Zorana Ivcevic ,
Jessica D. Hoffmann  and
James C. Kaufman
Zorana Ivcevic
Affiliation:
Yale University, Connecticut
Jessica D. Hoffmann
Affiliation:
Yale University, Connecticut
James C. Kaufman
Affiliation:
University of Connecticut
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Summary

The neuroscience of creativity has grown significantly over the past several years. One aspect of creative ideation that has been relatively understudied, however, is how emotional processes—and the neural systems underlying them—shape creativity. Creativity, like its muse, can be ephemeral: vulnerable to internal and external environmental factors that spark new ideas or snuff them out, and emotions can modulate these effects. In this chapter, we review findings underscoring the critical interactions between cognitive and emotional neuromodulatory mechanisms during creative thinking, including the potential impact of mood, stress, and reward processes on known neurocognitive components of creative ideation. We further examine whether and under what circumstances such interactions can have positive or negative consequences for creativity. Lastly, we discuss how emotional task content may impact the generation of the creative product on the part of the creator. Across these domains, we synthesize this literature and propose a framework for future research that integrates brain function at the neurochemical, neuroanatomical, and systems levels with emotional aspects of creative thinking.

Keywords

neuroscienceemotion-cognition interactionsemotionscreativitybrain networks
Type
Chapter
Information
The Cambridge Handbook of Creativity and Emotions , pp. 109 - 129
Publisher: Cambridge University Press
Print publication year: 2023

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References

Abraham, A. (2019). The neuropsychology of creativity. Current Opinion in Behavioral Sciences, 27, 71–76. https://doi.org/10.1016/j.cobeha.2018.09.011Google Scholar
Abraham, A., Beudt, S., Ott, D. V. M., & von Cramon, D. R. (2012). Creative cognition and the brain: Dissociations between frontal, parietal-temporal and basal ganglia groups. Brain Research, 1482, 55–70.Google Scholar
Alexander, G. E., DeLong, M. R., & Strick, P. L., (1986). Parallel organisation of functionally segregated circuits linking basal ganglia and cortex. Annual Review of Neuroscience, 9, 357–381. https://doi.org/10.1146/annurev.ne.09.030186.002041Google Scholar
Alexander, J. K., Hillier, A., Smith, R. M., Tivarus, M. E., & Beversdorf, D. Q. (2007). Beta-adrenergic modulation of cognitive flexibility during stress. Journal of Cognitive Neuroscience, 19, 468–478. https://doi.org/10.1162/jocn.2007.19.3.468Google Scholar
Andrews-Hanna, J. R., Smallwood, J., & Spreng, R. N. (2014). The default network and self-generated thought: Component processes, dynamic control, and clinical relevance. Annals of the New York Academy of Sciences, 1316, 29–52. https://doi.org/10.1111/nyas.12360Google Scholar
Akinola, M., Kapadia, C., Lu, G. J., & Malia, M. (2019). Incorporating physiology into creativity research and practice: The effects of bodily stress responses on creativity in organizations. Academy of Management, Perspectives 33(2), 163-184. https://doi.org/10.5465/amp.2017.0094Google Scholar
Akinola, M., & Mendes, W. B. (2008). The dark side of creativity: Biological vulnerability and negative emotions lead to greater artistic creativity. Personality & Social Psychology Bulletin, 34(12), 1677–1686. https://doi.org/10.1177/0146167208323933CrossRefGoogle ScholarPubMed
Ashby, F. G., Isen, A. M., & Turken, A. U. (1999). A neuropsychological theory of positive affect and its influence on cognition. Psychological Review, 106, 529–550. https://doi.org/10.1037/0033-295X.106.3.529Google Scholar
Aston-Jones, G., & Cohen, J. D., (2005). An integrative theory of locus coeruleusnorepinephrine function: Adaptive gain and optimal performance. Annual Review of Neuroscience, 28, 403–450. https://doi.org/10.1146/annurev.neuro.28.061604.135709Google Scholar
Baas, M., Dreu, C. K. W. D., & Nijstad, B. A. (2008). A meta-analysis of 25 years of mood–creativity research: Hedonic tone, activation, or regulatory focus? Psychological Bulletin, 134(6), 779–806. https://doi.org/10.1037/a0012815Google Scholar
Barrett, L. F. (2017). How Emotions Are Made: The Secret Life of the Brain. Houghton Mifflin Harcourt.Google Scholar
Beaty, R. E., Benedek, M., Kaufman, S. B., & Silvia, P. J. (2015). Default and executive network coupling supports creative idea production. Scientific Reports, 1–14. http://doi.org/10.1038/srep10964Google Scholar
Beaty, R. E., Benedek, M., Wilkins, R. W., Jauk, E., Fink, A., Silvia, P. J., et al. (2014). Creativity and the default network: A functional connectivity analysis of the creative brain at rest. Neuropsychologia, 64, 92–98. http://doi.org/10.1016/j.neuropsychologia.2014.09.019Google Scholar
Beaty, R. E., Benedek, M., Silvia, P. J., & Schacter, D. L. (2016). Creative cognition and brain network dynamics. Trends in Cognitive Sciences, 20, 87–95. https://doi.org/10.1016/j.tics.2015.10.004Google 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, 115(5), 1087–1092. https://doi.org/10.1073/pnas.1713532115Google Scholar
Bendetowicz, D., Urbanski, M., Garcin, B., et al. (2018). Two critical brain networks for generation and combination of remote associations. Brain, 141, 217–233. https://doi.org/10.1093/brain/awx294Google Scholar
Beversdorf, D. Q. (2018). Stress, pharmacology, and creativity. In Jung, R. E. & Vartanian, O. (Eds.), The Cambridge Handbook of the Neuroscience of Creativity (pp. 207–258). Cambridge University Press. https://doi.org/10.1017/9781316556238.018Google Scholar
Beversdorf, D. Q. (2019). Neuropsychopharmacological regulation of performance on creativity-related tasks Current Opinion Behavioral Sciences, 27, 55–63. https://doi.org/10.1016/j.cobeha.2018.09.010)Google Scholar
Beversdorf, D. Q., Hughes, J. D., Steinberg, B. A., Lewis, L. D., & Heilman, K. M. (1999). Noradrenergic modulation of cognitive flexibility in problem solving. Neuroreport, 10(13), 2763–2767. https://doi.org/10.1097/00001756-199909090-00012CrossRefGoogle ScholarPubMed
Beversdorf, D. Q., White, D. M., Chever, D. C., Hughes, J. D., & Bornstein, R. A. (2002). Central beta-adrenergic modulation of cognitive flexibility. Neuroreport, 13(18), 2505–2507. https://doi.org/10.1097/00001756-200212200-00025Google Scholar
Bitsch, F., Berger, P., Fink, A., et al. (2021). Antagonism between brain regions relevant for cognitive control and emotional memory facilitates the generation of humorous ideas. Scientific Reports, 1–12. https://doi.org/10.1038/s41598–021-89843-8CrossRefGoogle Scholar
Boot, N., Baas, M., van Gaal, S., Cools, R., & De Dreu, C. K. W. (2017). Creative cognition and dopaminergic modulation of fronto-striatal networks: Integrative review and research agenda. Neuroscience and Biobehavioral Reviews, 78, 13–23. https://doi.org/.1016/j.neubiorev.2017.04.007CrossRefGoogle ScholarPubMed
Buckner, R. L., Andrews-Hanna, J. R., & Schacter, D. L. (2008). The brain’s default network: Anatomy, function, and relevance to disease. Annals of the New York Academy of Sciences, 1124, 1–38. https://doi.org/10.1196/annals.1440.011Google Scholar
Byron, K., Khazanchi, S., & Nazarian, D. (2010). The relationship between stressors and creativity: A meta-analysis examining competing theoretical models. Journal of Applied Psychology, 95(1), 201–212. https://doi.org/10.1037/a0017868Google Scholar
Carson, S. H., Peterson, J. B., Higgins, D. M. (2005). Reliability, validity, and factor structure of the Creative Achievement Questionnaire. Creativity Research Journal, 17, 37–50. https://doi.org/10.1207/s15326934crj1701_4Google Scholar
Carlsson, I., Wendt, P. E., & Risberg, J. (2000). On the neurobiology of creativity. Differences in frontal activity between high and low creative subjects. Neuropsychologia, 38, 873–885. https://doi.org/10.1016/S0028–3932(99)00128-1Google Scholar
Chand, G. B., Wu, J., Hajjar, I., & Qiu, D. (2017). Interactions of the salience network and its subsystems with the default-mode and the central-executive networks in normal aging and mild cognitive impairment. Brain Connectivity, 7(7), 401–412. https://doi.org/10.1089/brain.2017.0509CrossRefGoogle ScholarPubMed
Chen, Q., Yang, W., Li, W., et al. (2014). Association of creative achievement with cognitive flexibility by a combined voxel-based morphometry and resting-state functional connectivity study. NeuroImage, 102, 474–483. doi:10.1016/j.neuroimage.2014.08.008Google Scholar
Chermahini, S. A., & Hommel, B. (2012). More creative through positive mood? Not everyone! Frontiers in Human Neuroscience, 6, 1–7. https://doi.org/10.3389/fnhum.2012.00319Google Scholar
Christensen, P. R., Guilford, J. P. (1958). Creativity/Fluency Scales. Sheridan Supply.Google Scholar
Chrysikou, E. G. (2018). The costs and benefits of cognitive control for creativity. In Vartanian, O. & Jung, R. E. (Eds.), The Cambridge Handbook of the Neuroscience of Creativity (pp. 299–317). Cambridge University Press. https://doi.org/10.1017/9781316556238.018Google Scholar
Chrysikou, E. G. (2019). Creativity in and out of (cognitive) control. Current Opinion in Behavioral Sciences, 27, 94–99. https://doi.org/10.1016/j.cobeha.2018.09.014Google Scholar
Chrysikou, E. G., Weber, M., & Thompson-Schill, S. L. (2014). A matched filter hypothesis for cognitive control. Neuropsychologia, 62, 341–355. https:/doi.org/10.1016/j.neuropsychologia.2013.10.021Google Scholar
Clapham, M. M. (2001). The effects of affect manipulation and information exposure on divergent thinking. Creativity Research Journal, 13, 335–350. https://doi.org/10.1207/S15326934CRJ1334_11Google Scholar
Cools, R., Sheridan, M., Jacobs, E., & D’Esposito, M. (2007). Impulsive personality predicts dopamine-dependent changes in frontostriatal activity during component processes of working memory. Journal of Neuroscience, 27, 5506–5514. https://doi.org/10.1523/JNEUROSCI.0601-07.2007Google Scholar
Costa, C. G., Zhou, Q., & Ferreira, A. I. (2020). State and trait anger predicting creative process engagement – The role of emotion regulation. The Journal of Creative Behavior, 54(1), 5–19. https://doi.org/10.1002/jocb.236Google Scholar
Davis, C., Zai, C. C., Adams, N., Bonder, R., & Kennedy, J. L. (2019). Oxytocin and its association with reward-based personality traits: A multilocus genetic profile (MLGP) approach. Personality and Individual Differences, 138, 231–236. https://doi.org/10.1016/j.paid.2018.09.002Google Scholar
Dennison, M., Whittle, S., Yucel, M., et al. (2015). Trait positive affect is associated with hippocampal volume and change in caudate volume across adolescence. Cognitive, Affective, & Behavioral Neuroscience, 15(1), 80–94. https://doi.org/10.3758/s13415–0140319-2.Google Scholar
Dedovic, K., Rexroth, M., Wolff, E., et al. (2009). Neural correlates of processing stressful information: An event-related fMRI study. Brain Research, 1293, 49–60. https://doi.org/10.1016/j.brainres.2009.06.044Google Scholar
De Dreu, C. K. W., Baas, M., & Nijstad, B. A. (2008). Hedonic tone and activation level in the mood-creativity link: Toward a dual pathway to creativity model. Journal of Personality and Social Psychology, 94(5), 739–756. https://doi.org/10.1037/0022-3514.94.5.739CrossRefGoogle Scholar
Dickerson, S. S., & Kemeny, M. E. (2004). Acute stressors and cortisol responses: A theoretical integration and synthesis of laboratory research. Psychological Bulletin, 130, 355–391. https://doi.org/10.1037/0033-2909.130.3.355Google Scholar
Dreisbach, G., Goschke, T. (2004). How positive affect modulates cognitive control: Reduced perseveration at the cost of increased distractibility. Journal of Experimental Psychology: Learning, Memory, & Cognition, 30, 343–353. https://doi.org/10.1037/0278-7393.30.2.343Google Scholar
Duan, H., Wang, X., Hu, W., & Kounios, J. (2020). Effects of acute stress on divergent and convergent problem-solving. Thinking & Reasoning, 26(1), 1–19. https://doi.org/10.1080/13546783.2019.1572539Google Scholar
Duan, H., Wang, X., Wang, Z., et al. (2019). Acute stress shapes creative cognition in trait anxiety. Frontiers in Psychology, 10, 1517. https://doi.org/10.3389/fpsyg.2019.01517Google Scholar
Eskine, K. E., Anderson, A. E., Sullivan, M., Golob, E. J. (2020). Effects of music listening on creative cognition and semantic memory retrieval. Psychology of Music, 48, 513–528. https://doi.org/10.1177/0305735618810792Google Scholar
Feng, Q., He, L., Yang, W., et al. (2019). Verbal creativity is correlated with the dynamic reconfiguration of brain networks in the resting state. Frontiers in Psychology, 10, 894. https://doi.org/10.3389/fpsyg.2019.00894Google Scholar
Fink, A., Schwab, D., & Papousek, I. (2011). Sensitivity of EEG upper alpha activity to cognitive and affective creativity interventions. International Journal of Psychophysiology, 82(3), 233–239. https://doi.org/10.1016/j.ijpsycho.2011.09.003Google Scholar
Fox, M. D., Snyder, A. Z., Vincent, J. L., et al. 2005). The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proceedings of the National Academy of Sciences of the United States of America, 102(27), 9673–9678. https://doi.org/10.1073/pnas.0504136102Google Scholar
Gao, Z., Zhang, D., Liang, A., et al. (2017). Exploring the associations between intrinsic brain connectivity and creative ability using functional connectivity strength and connectome analysis. Brain Connectivity, 7(9), 590–601. https://doi.org/10.1089/brain.2017.0510CrossRefGoogle ScholarPubMed
Gianaros, P. J., & Wager, T. D. (2015) Brain-body pathways linking psycho-logical stress and physical health. Current Directions in Psychological Science, 24, 313–321. https://doi.org/10.1177/0963721415581476Google Scholar
Goulden, N., Khusnulina, A., Davis, N. J., et al. (2014). The salience network is responsible for switching between the default mode network and the central executive network: Replication from DCM. Neuroimage, 99, 180–190. https://doi.org/10.1016/j.neuroimage.2014.05.052CrossRefGoogle Scholar
Greicius, M. D., Srivastava, G., Reiss, A. L., & Menon, V. (2004). Default-mode network activity distinguishes Alzheimer’s disease from healthy aging: evidence from functional MRI. Proceedings of the National Academy of Sciences of the United States of America, 101, 4637–4642. https://doi.org/10.1073/pnas.0308627101Google Scholar
Herman, J. P. (2011). Central nervous-system regulation of the hypotha-lamic–pituitary–adrenal axis stress response. In Conrad, C. D. (Ed.), The Handbook of Stress: Neuropsychological Effects on the Brain (pp. 29–46). Wiley.Google Scholar
Herman, J. P., Ostrander, M. M., Mueller, N. K., & Figueiredo, H. (2005). Limbic system mechanisms of stress regulation: Hypothalamo–pituitary–adrenocortical axis. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 29, 1201–1213. https://doi.org/10.1016/j.pnpbp.2005.08.006Google Scholar
Hermans, E. J., Van Marle, H. J. F., Ossewaarde, L., et al. (2011). Stress-related noradrenergic activity prompts large-scale neural network reconfiguration. Science, 334, 1151–1153. https://doi.org/10.1126/science.1209603Google Scholar
Heilman, K. M., Nadeau, S. E., & Beversdorf, D. Q. (2003). Creative innovation: possible brain mechanisms. Neurocase, 9, 369–379. https://doi.org/10.1076/neur.9.5.369.16553Google Scholar
Hwang, T. J., & Choi, J. N. (2020). Different moods lead to different creativity: Mediating roles of ambiguity tolerance and team identification. Creativity Research Journal, 32(2), 161–173. https://doi.org/10.1080/10400419.2020.1751542Google Scholar
Isen, A. M., & Baron, R. A. (1991). Positive affect as a factor in organizational behavior. Research in Organizational Behavior, 13, 1–53.Google Scholar
Ismaylova, E., Sante, J. D., Gouin, J.-P., et al. (2018). Associations between daily mood states and brain gray matter volume, resting-state functional connectivity and task-based activity in healthy adults. Frontiers in Human Neuroscience, 12, 168. https://doi.org/10.3389/fnhum.2018.00168Google Scholar
Jung, R. E., Mead, B. S., Carrasco, J., & Flores, R. A. (2013). The structure of creative cognition in the human brain. Frontiers in Human Neuroscience, 7, 330. https://doi.org/10.3389/fnhum.2013.00330Google Scholar
Jung, R. E., Segall, J. M., Jeremy Bockholt, H., et al. (2010). Neuroanatomy of creativity. Human Brain Mapping, 31, 398–409. https://doi-org/10.1002/hbm.20874Google Scholar
Jung, R. E., & Vartanian, O. (Eds.). (2018). The Cambridge Handbook of the Neuroscience of Creativity. Cambridge University Press.Google Scholar
Kao, C. C., & Chiou, W. B. (2020). The moderating role of agreeableness in the relationship between experiencing anger and creative performance. The Journal of Creative Behavior, 54(4), 964–974. https://doi.org/10.1002/jocb.425Google Scholar
Kensinger, E. A., & Ford, J. H. (2021). Guiding the emotion in emotional memories: The role of the dorsomedial prefrontal cortex. Current Directions in Psychological Science, 30(2), 111–119. https://doi.org/10.1177/0963721421990081Google Scholar
Kraljevic, N. K., Schaare, H. L., Eickhoff, S. B., et al. (2021). Behavioral, anatomical and heritable convergence of affect and cognition in superior frontal cortex. NeuroImage, 243, 118561. https://doi.org/10.1016/j.neuroimage.2021.118561Google Scholar
Kaufmann, G., & Vosburg, S. K. (1997). “Paradoxical” mood effects on creative problem-solving. Cognition and Emotion, 11, 151–170. https://doi.org/10.1080/026999397379971Google Scholar
Kenett, Y. N., Medaglia, J. D., Beaty, R. E., et al. (2018). Driving the brain towards creativity and intelligence: A network control theory analysis. Neuropsychologia, 1–12. https://doi.org/10.1016/j.neuropsychologia.2018.01.001Google Scholar
Khalil, R., Goode, B., & Karim, A. A. (2019). The link between creativity, cognition, and creative drives and underlying neural mechanisms. Frontiers in Neural Circuits, 13, 18. https://doi.org/10.3389/fncir.2019.00018Google Scholar
Lader, M. (1988). Beta-adrenergic antagonists in neuropsychiatry: An update. Journal of Clinical Psychiatry, 49, 213–223. https://europepmc.org/article/med/2897959Google Scholar
Laverdue, B., & Boulenger, J. P. (1991). Medications beta-bloquantes et anxiete. Un interet therapeutique certain. [Beta-blocking drugs and anxiety. A proven therapeutic value.] L’Encephale, 17, 481–492. https://europepmc.org/article/med/1686251Google Scholar
Lyubomirsky, S., King, L., & Diener, E. (2005). The benefits of frequent positive affect: Does happiness lead to success? Psychological Bulletin, 131, 803–855. https://doi.org/10.1037/0033-2909.131.6.803Google Scholar
Mayseless, N., Eran, A., & Shamay-Tsoory, S. G. (2015). Generating original ideas: The neural underpinning of originality. NeuroImage, 116(C), 232–239. http://doi.org/10.1016/j.neuroimage.2015.05.030Google Scholar
McPherson, M. J., Barrett, F. S., Lopez-Gonzalez, M., Jiradejvong, P., & Limb, C. J. (2016). Emotional intent modulates the neural substrates of creativity: An fMRI study of emotionally targeted improvisation in jazz musicians. Scientific Reports, 6(1), 18460. https://doi.org/10.1038/srep18460Google Scholar
Montijn, N. D., Gerritsen, L., & Engelhard, I. M. (2021). Forgetting the future: Emotion improves memory for imagined future events in healthy individuals but not individuals with anxiety. Psychological Science, 1–11. https://doi.org/10.1177/0956797620972491Google Scholar
Mumford, M. D. (2003). Where have we been, where are we going? Taking stock in creativity research. Creativity Research Journal, 15, 107–120. https://doi.org/10.1080/10400419.2003.9651403Google Scholar
Nijstad, B. A., De Dreu, C. K. W., Rietzschel, E. F., & 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. https://doi.org/10.1080/10463281003765323Google Scholar
Noack, H., Nolte, L., Nieratschker, V., Habel, U., & Derntl, B. (2019). Imaging stress: An overview of stress induction methods in the MR scanner. Journal of Neural Transmission, 126(9), 1187–1202. https://doi.org/10.1007/s00702–018-01965-yGoogle Scholar
Perchtold, C. M., Papousek, I., Koschutnig, K., et al. (2018). Affective creativity meets classic creativity in the scanner. Human Brain Mapping, 39(1), 393–406. https://doi.org/10.1002/hbm.23851CrossRefGoogle ScholarPubMed
Provenzano, J., Verduyn, P., Daniels, N., Fossati, P., & Kuppens, P. (2019). Mood congruency effects are mediated by shifts in salience and central executive network efficiency. Social Cognitive and Affective Neuroscience, 14(9), 987–995. https://doi.org/10.1093/scan/nsz065Google Scholar
Qi, D., Lam, C. L. M., Wong, J. J., Chang, D. H. F., & Lee, T. M. C. (2021). Positive affect is inversely related to the salience and emotion network’s connectivity. Brain Imaging and Behavior, 15(4), 2031–2039. https://doi.org/10.1007/s11682–020-00397-1Google Scholar
Raichle, M. E. (2015). The brain’s default mode network. Annual Review of Neuroscience, 38, 433–447. https://doi.org/10.1146/annurev-neuro-071013-014030Google Scholar
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., et al. (2001). A default mode of brain function. Proceedings of the National Academy of Sciences of the United States of America, 98(2), 676–682. https://doi.org/10.1073/pnas.98.2.676Google Scholar
Rohr, C. S., Okon-Singer, H., Craddock, R. C., Villringer, A., & Margulies, D. S. (2013). Affect and the brain’s functional organization: A resting-state connectivity approach. PLoS ONE, 8(7), e68015. https://doi.org/10.1371/journal.pone.0068015.Google Scholar
Runco, M. A., & Jaeger, G. J. (2012). The standard definition of creativity. Creativity Research Journal, 24(1), 92–96. https://doi.org/10.1080/10400419.2012.650092Google Scholar
Sanchez, T. A., Mocaiber, I., Erthal, F. S., et al. (2015). Amygdala responses to unpleasant pictures are influenced by task demands and positive affect trait. Frontiers in Human Neuroscience, 9, 107. https://doi.org/10.3389/fnhum.2015.00107Google Scholar
Saggar, M., Volle, E., Uddin, L. Q., Chrysikou, E. G., & Green, A. E. (2021). Creativity and the brain: An editorial introduction to the special issue on the neuroscience of creativity. NeuroImage, 231, 117836. https://doi.org/10.1016/j.neuroimage.2021.117836.Google Scholar
Sawyer, R. K. (2006). Explaining Creativity: The Science of Human Innovation. Oxford University Press.Google Scholar
Seeley, W. W., Menon, V., Schatzberg, A. F., et al. (2007). Dissociable intrinsic connectivity networks for salience processing and executive control. Journal of Neuroscience, 27, 2349–2356. http://doi.org/10.1523/JNEUROSCI.5587-06.2007Google Scholar
Shi, L., Sun, J., Xia, Y., et al. (2018). Large-scale brain network connectivity underlying creativity in resting-state and task fMRI: Cooperation between default network and frontal-parietal network. Biological Psychology, 135, 102–111. https://doi.org/10.1016/j.biopsycho.2018.03.005Google Scholar
Simonton, D. K. (1999). Creativity as blind variation and selective retention: Is the creative process Darwinian? Psychological Inquiry, 10, 309–328. https://www.jstor.org/stable/1449455Google Scholar
Simonton, D. K. (2010). Creative thought as blind-variation and selective-retention: Combinatorial models of exceptional creativity. Physics of Life Reviews, 7, 156–179. https:/doi.org/10.1016/j.plrev.2010.02.002Google Scholar
Sridharan, D., Levitin, D. J., & Menon, V. (2008). A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks. Proceedings of the National Academy of Sciences of the United States of America, 105(34), 12569–12574. https://doi.org/10.1073/pnas.0800005105CrossRefGoogle ScholarPubMed
Strasbaugh, K., & Connelly, S. (2021). The influence of anger and anxiety on idea generation: Taking a closer look at integral and incidental emotion effects. Psychology of Aesthetics, Creativity, and the Arts. Advance online publication. https://doi.org/10.1037/aca0000400Google Scholar
Sun, J., Liu, Z., Rolls, E. T., et al. (2019). Verbal creativity correlates with the temporal variability of brain networks during the resting state. Cerebral Cortex, 29(3), 1047–1058. https://doi.org/10.1093/cercor/bhy010Google Scholar
To, M. L., Fisher, C. D., & Ashkanasy, N. M. (2015). Unleashing angst: Negative mood, learning goal orientation, psychological empowerment and creative behaviour. Human Relations, 68(10), 1601–1622. https://doi.org/10.1177/0018726714562235Google Scholar
To, M. L., Fisher, C. D., Ashkanasy, N. M., & Rowe, P. A. (2012). Within-person relationships between mood and creativity. Journal of Applied Psychology, 97(3), 599–612. https://doi.org/10.1037/a0026097Google Scholar
Van Kleef, G. A., Anastasopoulou, C., & Nijstad, B. A. (2010). Can expressions of anger enhance creativity? A test of the emotions as social information (EASI) model. Journal of Experimental Social Psychology, 46(6), 1042–1048. https://doi.org/10.1016/j.jesp.2010.05.015Google Scholar
Vartanian, O., Beatty, E. L., Smith, I., et al. (2018). One-way traffic: The inferior frontal gyrus controls brain activation in the middle temporal gyrus and inferior parietal lobule during divergent thinking. Neuropsychologia, 118, 68–78. https://doi.org/10.1016/j.neuropsychologia.2018.02.024Google Scholar
Vartanian, O., Saint, S. A., Herz, N., & Suedfeld, P. (2020). The creative brain under stress: Considerations for performance in extreme environments. Frontiers in Psychology, 11, 585969. https://doi.org.10.3389/fpsyg.2020.585969Google Scholar
Verhaeghen, P., Joormann, J., & Khan, R. (2005). Why we sing the blues: The relation between self-reflective rumination, mood, and creativity. Emotion, 5, 226–232. https://doi.org/10.1037/1528-3542.5.2.226Google Scholar
Vosburg, S. K. (1998). The effects of positive and negative mood on divergent-thinking performance. Creativity Research Journal, 11, 165–172. https://doi.org/10.1207/s15326934crj1102_6Google Scholar
Weiss, H. M. W., & Merlo, K. L. (2020). Affect, attention, and episodic performance. Current Directions in Psychological Science, 1–7. https://doi.org/10.1177/0963721420949496Google Scholar
Wang, X., Duan, H., Kan, Y., et al. (2019). The creative thinking cognitive process influenced by acute stress in humans: an electroencephalography study. Stress, 22(4), 472–481. https://doi.org/10.1080/10253890.2019.1604665Google Scholar
Yang, J.‐S., & Hung, H. V. (2015). Emotions as constraining and facilitating factors for creativity: Companionate love and anger. Creativity and Innovation Management, 24(2), 217–230. https://doi.org/10.1111/caim.12089Google Scholar
Yeh, Y., Lai, G.-J., Lin, C. F., Lin, C.-W., & Sun, H.-C. (2015). How stress influences creativity in game-based situations: Analysis of stress hormones, negative emotions, and working memory. Computers & Education, 81, 143–153. https://doi.org/10.1016/j.compedu.2014.09.011Google Scholar
Zabelina, D. L., & Andrews-Hanna, J. R. (2016). Dynamic network interactions supporting internally-oriented cognition. Current Opinion in Neurobiology, 40, 86–93. https://doi.org/10.1016/j.conb.2016.06.014Google Scholar

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