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10 - Functional imaging of major depression

from Section II - Mood Disorders

Published online by Cambridge University Press:  10 January 2011

By
Simon A. Surguladze  and
Mary L. Phillips
Edited by
Martha E. Shenton  and
Bruce I. Turetsky
Simon A. Surguladze
Affiliation:
Institute of Psychiatry King's College London London, UK
Mary L. Phillips
Affiliation:
Department of Psychiatry University of Pittsburgh School of Medicine Pittsburgh, PA, USA
Martha E. Shenton
Affiliation:
VA Boston Healthcare System and Brigham and Women's Hospital, Harvard Medical School
Bruce I. Turetsky
Affiliation:
University of Pennsylvania
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Summary

Major depressive disorder (MDD) remains one of the most debilitating psychiatric illnesses worldwide, with an estimated lifetime prevalence of 16% (Kessler et al.,2003). By the year 2020, MDD is predicted to become the second-largest cause of disability after ischemic heart disease, is amongst leading causes of disability-adjusted life years (World Health Organization, 1999), and is associated with lost productivity, physical morbidity, and suicide (Üstün and Chatterji, 2001). Unfortunately, each depressed episode increases the risk for subsequent episodes (Solomon et al., 1997; Mueller et al., 1999). Early identification and diagnosis of MDD is therefore crucial to help target appropriate treatment interventions as early as possible in the illness history for individuals suffering from this debilitating illness.

The recent research agenda for DSM-V has emphasized a need to translate basic and clinical neuroscience research findings into a new classification system for all psychiatric disorders based upon pathophysiologic and etiological processes (Charney and Babich, 2002; Hasler et al., 2004, 2006; Phillips and Frank, 2006). These pathophysiologic processes involve complex relationships between genetic variables, environmental stressors, and abnormalities in neural systems supporting neuropsychological function and behavior, that may be represented as biomarkers of a disorder (e.g. Kraemer et al., 2002), and, in turn, be used to help improve diagnostic accuracy of illnesses such as MDD. Examination of the functional integrity of neural systems supporting key cognitive and emotion processing abnormalities that characterize MDD is therefore a first stage toward identifying biomarkers of MDD.

Keywords

depressed episodeemotional processexecutive controlneural modelsmajor depressive disorderfunctional neural abnormalityfunctional neuroimaging techniques
Type
Chapter
Information
Understanding Neuropsychiatric Disorders
Insights from Neuroimaging
 , pp. 151 - 169
Publisher: Cambridge University Press
Print publication year: 2010

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References

Abercrombie, H C, Schaefer, S M, Larson, C L, et al. 1998. Metabolic rate in the right amygdala predicts negative affect in depressed patients. Neuroreport 9, 3301–7.Google Scholar
Aizenstein, H J, Butters, M A, Figurski, J L, Stenger, V A, Reynolds, C F, III and Carter, C S. 2005. Prefrontal and striatal activation during sequence learning in geriatric depression. Biol Psychiatry 58, 290–6.Google Scholar
Alexopoulos, G S. 2002. Frontostriatal and limbic dysfunction in late-life depression. Am J Geriatr. Psychiatry 10, 687–95.Google Scholar
Alexopoulos, G S, Meyers, B S, Young, R C, Campbell, S, Silbersweig, D and Charlson, M. 1997. “Vascular depression” hypothesis. Arch Gen Psychiatry 54, 915–22.Google Scholar
Anand, A, Li, Y, Wang, Y, et al. 2005a. Activity and connectivity of brain mood regulating circuit in depression: A functional magnetic resonance study. Biol Psychiatry 57, 1079–88.Google Scholar
Anand, A, Li, Y, Wang, Y, et al. 2005b. Antidepressant effect on connectivity of the mood-regulating circuit: An fMRI study. Neuropsychopharmacology 30, 1334–44.Google Scholar
Anand, A, Li, Y, Wang, Y, Gardner, K and Lowe, M J. 2007. Reciprocal effects of antidepressant treatment on activity and connectivity of the mood regulating circuit: An fMRI study. J Neuropsychiatry Clin Neurosci 19, 274–82.Google Scholar
Audenaert, K, Goethals, I, Laere, K, et al. 2002. SPECT neuropsychological activation procedure with the Verbal Fluency Test in attempted suicide patients. Nucl Med Commun 23, 907–16.Google Scholar
Austin, M-P, Ross, M, Murray, C, O'Carroll, R E, Ebmeier, K P and Goodwin, G M. 1992. Cognitive functions in major depression. J Affect Disord 25, 21–30.Google Scholar
Ballmaier, M, Toga, A W, Blanton, R E, et al. 2004. Anterior cingulate, gyrus rectus, and orbitofrontal abnormalities in elderly depressed patients: An MRI-based parcellation of the prefrontal cortex. Am J Psychiatry 161, 99–108.Google Scholar
Barch, D M, Sheline, Y I, Csernansky, J G and Snyder, A Z. 2003. Working memory and prefrontal cortex dysfunction: Specificity to schizophrenia compared with major depression. Biol Psychiatry 53, 376–84.Google Scholar
Baxter, L R, Schwartz, J M, Phelps, M E, et al. 1989. Reduction of prefrontal cortex glucose metabolism common to three types of depression. Arch Gen Psychiatry 46, 243–50.Google Scholar
Baxter, L R, Phelps, M E, Mazziotta, J C, et al. 1985. Cerebral metabolic rates for glucose in mood disorders. Arch Gen Psychiatry 42, 441–7.Google Scholar
Beats, B C, Sahakian, B J and Levy, R. 1996. Cognitive performance in tests sensitive to frontal lobe dysfunction in the elderly depressed. Psychol Med 26, 591–603.Google Scholar
Beck, A T, Rush, A J, Shaw, B F and Emery, G. 1979. Cognitive Therapy of Depression. New York, NY: Guilford.
Bhagwagar, Z, Cowen, P J, Goodwin, G M and Harmer, C J. 2004. Normalization of enhanced fear recognition by acute SSRI treatment in subjects with a previous history of depression. Am J Psychiatry 161, 166–8.Google Scholar
Biswal, B, Yetkin, F Z, Haughton, V and Hyde, J S. 1995. Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magn Res Med 34, 537–41.Google Scholar
Biver, F, Goldman, S, Delvenne, V, et al. 1994. Frontal and parietal metabolic disturbances in unipolar depression. Biol Psychiatry 36, 381–8.Google Scholar
Booij, L, D W, , Benkelfat, C, et al. 2002. Predictors of mood response to acute tryptophan depletion. A reanalysis. Neuropsychopharmacology 27, 852–61.Google Scholar
Bouhuys, A L, Geerts, E and Gordijn, M C M. 1999. Depressed patients' perceptions of facial emotions in depressed and remitted states are associated with relapse: A longitudinal study. J Nerv Mental Dis 187, 595–602.Google Scholar
Brassen, S, Kalisch, R, Weber-Fahr, W, Braus, D F and Buchel, C. 2008. Ventromedial prefrontal cortex processing during emotional evaluation in late-life depression: A longitudinal functional magnetic resonance imaging study. Biol Psychiatry 64, 349–55.Google Scholar
Brody, A L, Saxena, S, Stoessel, P, et al. 2001. Regional brain metabolic changes in patients with major depression treated with either paroxetine or interpersonal therapy: Preliminary findings. Arch Gen Psychiatry 58, 631–40.Google Scholar
Calder, A J, Lawrence, A D and Young, A W. 2001. Neuropsychology of fear and loathing. Nat Rev Neurosci 2, 352–63.Google Scholar
Canli, T, Cooney, R E, Goldin, P, et al. 2005. Amygdala reactivity to emotional faces predicts improvement in major depression. Neuroreport 16, 1267–70.Google Scholar
Charney, D S and Babich, K S. 2002. Foundation for the NIMH strategic plan for mood disorders research. Biol Psychiatry 52, 455–6.Google Scholar
Chen, C H, Suckling, J, Ooi, C, et al. 2008. Functional coupling of the amygdala in depressed patients treated with antidepressant medication. Neuropsychopharmacology 33, 1909–18.Google Scholar
Dalla, B G, Parlato, V, Iavarone, A and Boller, F. 1995. Anosognosia, intrusions and “frontal” functions in Alzheimer's disease and depression. Neuropsychologia 33, 247–59.Google Scholar
Davidson, R J, Irwin, W, Anderle, M J and Kalin, N H. 2003. The neural substrates of affective processing in depressed patients treated with venlafaxine. Am J Psychiatry 160, 64–75.Google Scholar
Drevets, W C. 1999. Prefrontal cortical–amygdalar metabolism in major depression. Ann N Y Acad Sci 877, 614–37.Google Scholar
Drevets, W C, Bogers, W and Raichle, M E. 2002. Functional anatomical correlates of antidepressant drug treatment assessed using PET measures of regional glucose metabolism. Eur Neuropsychopharmacol 12, 527–44.Google Scholar
Drevets, W C, Price, J L and Furey, M L. 2008. Brain structural and functional abnormalities in mood disorders: Implications for neurocircuitry models of depression. Brain Struct Funct 213, 93–118.Google Scholar
Drevets, W C, Price, J L, Simpson, J R, et al. 1997. Subgenual prefrontal cortex abnormalities in mood disorders. Nature 386, 824–7.Google Scholar
Drevets, W C, Videen, T O, Price, J L, Preskorn, S H, Carmichael, S T and Raichle, M E. 1992. A functional anatomical study of unipolar depression. J Neurosci 12, 3628–41.Google Scholar
Ebmeier, K P, Glabus, M F, Prentice, N, Ryman, A and Goodwin, G M. 1998. A voxel-based analysis of cerebral perfusion in dementia and depression of old age. Neuroimage 7, 199–208.Google Scholar
Elliott, R, Baker, S C, Rogers, R D, et al. 1997. Prefrontal dysfunction in depressed patients performing a complex planning task: A study using positron emission tomography. Psychol Med 27, 931–42.Google Scholar
Elliott, R, Sahakian, B J, Michael, A, Paykel, E S and Dolan, R J. 1998. Abnormal neural response to feedback on planning and guessing tasks in patients with unipolar depression. Psychol Med 28, 559–71.Google Scholar
Elliott, R, Rubinsztein, J S, Sahakian, B J and Dolan, R J. 2002. The neural basis of mood-congruent processing biases in depression. Arch Gen Psychiatry 59, 597–604.Google Scholar
Epstein, J, Pan, H, Kocsis, J H, et al. 2006. Lack of ventral striatal response to positive stimuli in depressed versus normal subjects. Am J Psychiatry 163, 1784–90.Google Scholar
Fava, M. 2003. Diagnosis and definition of treatment-resistant depression. Biol Psychiatry 53, 649–59.Google Scholar
Fitzgerald, P. 2008. Brain stimulation techniques for the treatment of depression and other psychiatric disorders. Austral Psychiatry 16, 183–90.Google Scholar
Fitzgerald, P B, Laird, A R, Maller, J and Daskalakis, Z J. 2008a. A meta-analytic study of changes in brain activation in depression. Hum Brain Mapp 29, 683–95.Google Scholar
Fitzgerald, P B, Srithiran, A, Benitez, J, et al. 2008b. An fMRI study of prefrontal brain activation during multiple tasks in patients with major depressive disorder. Hum Brain Mapp 29, 490–501.Google Scholar
Forbes, E E, Christopher, M J, Siegle, G J, et al. 2006. Reward-related decision-making in pediatric major depressive disorder: An fMRI study. J Child Psychol Psychiatry 47, 1031–40.Google Scholar
Fu, C H, Mourao-Miranda, J, Costafreda, S G, et al. 2008a. Pattern classification of sad facial processing: Toward the development of neurobiological markers in depression. Biol Psychiatry 63, 656–62.Google Scholar
Fu, C H, Williams, S C, Cleare, A J, et al. 2004. Attenuation of the neural response to sad faces in major depression by antidepressant treatment: A prospective, event-related functional magnetic resonance imaging study. Arch Gen Psychiatry 61, 877–89.Google Scholar
Fu, C H Y, Williams, S C R, Brammer, M J, et al. 2007. Neural responses to happy facial expressions in major depression following antidepressant treatment. Am J Psychiatry 164, 599–607.Google Scholar
Fu, C H Y, Williams, S C R, Cleare, A J, et al. 2008b. Neural responses to sad facial expressions in major depression following cognitive behavioral therapy. Biol Psychiatry 64, 505–12.Google Scholar
George, M S, Ketter, T A, Parekh, P I, Rosinsky, N, Ring, H A and Pazzaglia, P J. 1997. Blunted left cingulate activation in mood disorder subjects during a response interference task (the Stroop). J Neuropsychiatry Clin Neurosci 9, 55–63.Google Scholar
Gonul, A S, Kula, M, Bilgin, A G, Tutus, A and Oguz, A. 2004. The regional cerebral blood flow changes in major depressive disorder with and without psychotic features. Prog Neuropsychopharmacol Biol Psychiatry 28, 1015–21.Google Scholar
Gotlib, I H and Hamilton, J P. 2008. Neuroimaging and depression: Current status and unresolved issues. Curr Dir Psychol Sci 17, 159–63.Google Scholar
Gotlib, I H and Whiffen, V E. 1989. Depression and marital functioning: An examination of specificity of gender differences. J Abnorm Psychol 98, 23–30.Google Scholar
Greicius, M D, Flores, B H, Menon, V, et al. 2007. Resting-state functional connectivity in major depression: Abnormally increased contributions from subgenual cingulate cortex and thalamus. Biol Psychiatry 62, 429–37.Google Scholar
Gur, R C, Erwin, R J, Gur, R E, Zwil, A S, Heimberg, C and Kraemer, H C. 1992. Facial emotion discrimination: II. Behavioral findings in depression. Psychiatry Res 42, 241–51.Google Scholar
Gusnard, D A, Akbudak, E, Shulman, G L and Raichle, M E. 2001. Medial prefrontal cortex and self-referential mental activity: Relation to a default mode of brain function. Proc Natl Acad Sci U S A 98, 4259–64.Google Scholar
Hariri, A R, Tessitore, A, Mattay, V S, Fera, F and Weinberger, D R. 2002. The amygdala response to emotional stimuli: A comparison of faces and scenes. Neuroimage 17, 317–23.Google Scholar
Hasler, G, Drevets, W C, Gould, T D, Gottesman, I I and Manji, H K. 2006. Toward constructing an endophenotype strategy for bipolar disorders. Biol Psychiatry 60, 93–105.Google Scholar
Hasler, G, Drevets, W C, Manji, H K and Charney, D S. 2004. Discovering endophenotypes for major depression. Neuropsychopharmacology 29, 1765–81.Google Scholar
Hasler, G, Fromm, S, Carlson, P J, et al. 2008. Neural response to catecholamine depletion in unmedicated subjects with major depressive disorder in remission and healthy subjects. Arch Gen Psychiatry 65, 521–31.Google Scholar
Haxby, J V, Hoffman, E A and Gobbini, M I. 2000. The distributed human neural system for face perception. Trends Cognit Sci 4, 223–33.Google Scholar
Hickie, I, Scott, E, Mitchell, P, Wilhelm, K, Austin, M P and Bennett, B. 1995. Subcortical hyperintensities on magnetic resonance imaging: Clinical correlates and prognostic significance in patients with severe depression. Biol Psychiatry 37, 151–60.Google Scholar
Keedwell, P, Drapier, D, Surguladze, S, Giampietro, V, Brammer, M and Phillips, M. 2009. Neural markers of symptomatic improvement during antidepressant therapy in severe depression: subgenual cingulate and visual cortical responses to sad, but not happy, facial stimuli are correlated with changes in symptom score. J Psychopharmacol 23, 775–88.Google Scholar
Keedwell, P A, Andrew, C, Williams, S C, Brammer, M J and Phillips, M L. 2005a. A double dissociation of ventromedial prefrontal cortical responses to sad and happy stimuli in depressed and healthy individuals. Biol Psychiatry 58, 495–503.Google Scholar
Keedwell, P A, Andrew, C, Williams, S C, Brammer, M J and Phillips, M L. 2005b. The neural correlates of anhedonia in major depressive disorder. Biol Psychiatry 58, 843–53.Google Scholar
Kennedy, S H, Konarski, J Z, Segal, Z V, et al. 2007. Differences in brain glucose metabolism between responders to CBT and venlafaxine in a 16-week randomized controlled trial. Am J Psychiatry 164, 778–88.Google Scholar
Kessler, R C, Berglund, P, Demler, O, et al. 2003. The epidemiology of major depressive disorder: Results from the National Comorbidity Survey Replication (NCS-R). JAMA 289, 3095–105.Google Scholar
Kimbrell, T A, Ketter, T A, George, M S, et al. 2002. Regional cerebral glucose utilization in patients with a range of severities of unipolar depression. Biol Psychiatry 51, 237–52.Google Scholar
Kimura, M, Shimoda, K, Mizumura, S, et al. 2003. Regional cerebral blood flow in vascular depression assessed by 123I-IMP SPECT. J Nippon Med Sch 70, 321–6.Google Scholar
Knutson, B, Bhanji, J P, Cooney, R E, Atlas, L Y and Gotlib, I H. 2008. Neural responses to monetary incentives in major depression. Biol Psychiatry 63, 686–92.Google Scholar
Koschack, J, Hoschel, K and Irle, E. 2003. Differential impairments of facial affect priming in subjects with acute or partially remitted major depressive episodes. J NervMental Dis 191, 175–81.Google Scholar
Kraemer, H C, Gullion, C M, Rush, A J, Frank, E and Kupfer, D J 1994. Can state and trait variables be disentangled? A methodological framework for psychiatric disorders. Psychiatry Res 52, 55–69.Google Scholar
Kraemer, H C, Schultz, S K and Arndt, S. 2002. Biomarkers in psychiatry: methodological issues. Am J Geriatr Psychiatry 10, 653–9.Google Scholar
Kumari, V, Mitterschiffthaler, M T, Teasdale, J D, et al. 2003. Neural abnormalities during cognitive generation of affect in treatment-resistant depression. Biol Psychiatry 54, 777–91.Google Scholar
Lang, P J, Bradley, M M and Cuthbert, B N. 2001. International Affective Picture System (IAPS): Instruction Manual and Affective Ratings. Technical Report A-5 The Center for Research in Psychophysiology, University of Florida.
Lawrence, N S, Williams, A M, Surguladze, S A, et al. 2004. Subcortical and ventral prefrontal cortical neural responses to facial expressions distinguish patients with bipolar disorder and major depression. Biol Psychiatry 55, 578–87.Google Scholar
Libet, J and Lewinson, P. 1973. Concept of social skills with special reference to the behavior of depressed persons. J Consult Clin Psychol 40, 304–13.Google Scholar
Liotti, M, Mayberg, H S, McGinnis, S, Brannan, S L and Jerabek, P. 2002. Unmasking disease-specific cerebral blood flow abnormalities: Mood challenge in patients with remitted unipolar depression. Am J Psychiatry 159, 1830–40.Google Scholar
Lozano, A M, Mayberg, H S, Giacobbe, P, Hamani, C, Craddock, R C and Kennedy, S H. 2008. Subcallosal cingulate gyrus deep brain stimulation for treatment-resistant depression. Biol Psychiatry 64, 461–7.Google Scholar
Mannie, Z N, Norbury, R, Murphy, S E, Inkster, B, Harmer, C J and Cowen, P J. 2008. Affective modulation of anterior cingulate cortex in young people at increased familial risk of depression. Br J Psychiatry 192, 356–61.Google Scholar
Martin, S D, Martin, E, Rai, S S, Richardson, M A and Royall, R. 2001. Brain blood flow changes in depressed patients treated with interpersonal psychotherapy or venlafaxine hydrochloride: Preliminary findings. Arch Gen Psychiatry 58, 641–8.Google Scholar
Martinot, J L, Hardy, P, Feline, A, et al. 1990. Left prefrontal glucose hypometabolism in the depressed state: A confirmation. Am J Psychiatry 147, 1313–7.Google Scholar
Masurier, M L, Cowen, P J and Harmer, C J. 2007. Emotional bias and waking salivary cortisol in relatives of patients with major depression. Psychol Med 37, 403–10.Google Scholar
Matsuo, K, Glahn, D C, Peluso, M A, et al. 2007. Prefrontal hyperactivation during working memory task in untreated individuals with major depressive disorder. Mol Psychiatry 12, 158–66.Google Scholar
Mayberg, H S. 1997. Limbic–cortical dysregulation: A proposed model of depression. J Neuropsychiatry Clin Neurosci 9, 471–81.Google Scholar
Mayberg, H S, Brannan, S K, Mahurin, R K, et al. 1997. Cingulate function in depression: A potential predictor of treatment response. Neuroreport 8, 1057–61.Google Scholar
Mayberg, H S, Liotti, M, Brannan, S K, McGinnis, B S, Mahurin, R K and Jerabek, P A. 1999. Reciprocal limbic–cortical function and negative mood: Converging PET findings in depression and normal sadness. Am J Psychiatry 156, 675–82.Google Scholar
Mayberg, H S, Lozano, A M, Voon, V, et al. 2005. Deep brain stimulation for treatment-resistant depression. Neuron 45, 651–60.Google Scholar
McKiernan, K A, Kaufman, J N, Kucera-Thompson, J and Binder, J R. 2003. A parametric manipulation of factors affecting task-induced deactivation in functional neuroimaging. J Cognit Neurosci 15, 394–408.Google Scholar
Monchi, O, Petrides, M, Petre, V, Worsley, K and Dagher, A. 2001. Wisconsin Card Sorting revisited: Distinct neural circuits participating in different stages of the task identified by event-related functional magnetic resonance imaging. J Neurosci 21, 7733–41.Google Scholar
Monk, C S, Klein, R G, Telzer, E H, et al. 2008. Amygdala and nucleus accumbens activation to emotional facial expressions in children and adolescents at risk for major depression. Am J Psychiatry 165, 90–8.Google Scholar
Moreaud, O, Naegele, B, Chabannes, J P, Roulin, J L, Garbolino, B and Pellat, J. 1996. Frontal lobe dysfunction and depression: Relation with the endogenous nature of the depression. Encephale 22, 47–51.Google Scholar
Mueller, T I, Leon, A C, Keller, M B, et al. 1999. Recurrence after recovery from major depressive disorder during 15 years of observational follow-up. Am J Psychiatry 156, 1000–6.Google Scholar
Navarro, V, Gasto, C, Lomena, F, et al. 2004. Prognostic value of frontal functional neuroimaging in late-onset severe major depression. Br J Psychiatry 184, 306–11.Google Scholar
Neumeister, A, Nugent, A C, Waldeck, T, et al. 2004. Neural and behavioral responses to tryptophan depletion in unmedicated patients with remitted major depressive disorder and controls. Arch Gen Psychiatry 61, 765–73.Google Scholar
Nofzinger, E A, Nichols, T E, Meltzer, C C, et al. 1999. Changes in forebrain function from waking to REM sleep in depression: Preliminary analyses of [18F]FDG PET studies. Psychiatry Res 91, 59–78.Google Scholar
Okada, G, Okamoto, Y, Morinobu, S, Yamawaki, S and Yokota, N. 2003. Attenuated left prefrontal activation during a verbal fluency task in patients with depression. Neuropsychobiology 47, 21–6.Google Scholar
Perico, C A M, Skaf, C R, Yamada, A, et al. 2005. Relationship between regional cerebral blood flow and separate symptom clusters of major depression: A single photon emission computed tomography study using statistical parametric mapping. Neurosci Lett 384, 265–70.Google Scholar
Persad, S and Polivy, J. 1993. Differences between depressed and nondepressed individuals in the recognition of and response to facial cues. J Abnorm Psychol 102, 358–68.Google Scholar
Phillips, M L, Drevets, W C, Rauch, S L and Lane, R. 2003a. Neurobiology of emotion perception I: The neural basis of normal emotion perception. Biol Psychiatry 54, 504–14.Google Scholar
Phillips, M L, Drevets, W C, Rauch, S L and Lane, R. 2003b. Neurobiology of emotion perception II: Implications for major psychiatric disorders. Biol Psychiatry 54, 515–28.Google Scholar
Phillips, M L and Frank, E. 2006. Redefining bipolar disorder: Toward DSM-V. Am J Psychiatry 163, 1135–6.Google Scholar
Phillips, M L, Ladouceur, C D and Drevets, W C. 2008. A neural model of voluntary and automatic emotion regulation: Implications for understanding the pathophysiology and neurodevelopment of bipolar disorder. Mol Psychiatry 13, 833–57.Google Scholar
Phillips, M L, Young, A W, Senior, C, et al. 1997. A specific neural substrate for perceiving facial expressions of disgust. Nature 389, 495–8.Google Scholar
Pochon, J B, Levy, R, Fossati, P, et al. 2002. The neural system that bridges reward and cognition in humans: An fMRI study. Proc Natl Acad Sci U S A 99, 5669–74.Google Scholar
Raichle, M E, MacLeod, A M, Snyder, A Z, Powers, W J, Gusnard, D A and Shulman, G L. 2001. Inaugural Article: A default mode of brain function. Proc Natl Acad Sci U S A 98, 676–82.Google Scholar
Raz, N, Gunning, F M, Head, D, et al. 1997. Selective aging of the human cerebral cortex observed in vivo: Differential vulnerability of the prefrontal gray matter. Cerebral Cortex 7, 268–82.Google Scholar
Roberson-Nay, R, McClure, E B, Monk, C S, et al. 2006. Increased amygdala activity during successful memory encoding in adolescent major depressive disorder: An fMRI study. Biol Psychiatry 60, 966–73.Google Scholar
Rose, E J, Simonotto, E and Ebmeier, K P. 2006. Limbic over-activity in depression during preserved performance on the n-back task. Neuroimage 29, 203–15.Google Scholar
Salloway, S, Malloy, P, Kohn, R, et al. 1996. MRI and neuropsychological differences in early- and late-life-onset geriatric depression. Neurology 46, 1567–74.Google Scholar
Schlaepfer, T E, Cohen, M X, Frick, C, et al. 2008. Deep brain stimulation to reward circuitry alleviates anhedonia in refractory major depression. Neuropsychopharmacology 33, 368–77.Google Scholar
Sheline, Y I, Barch, D M, Donnelly, J M, Ollinger, J M, Snyder, A Z and Mintun, M A. 2001. Increased amygdala response to masked emotional faces in depressed subjects resolves with antidepressant treatment: An fMRI study. Biol Psychiatry 50, 651–8.Google Scholar
Siegle, G J, Steinhauer, S R, Thase, M E, Stenger, V A and Carter, C S. 2002. Can't shake that feeling: Event-related fMRI assessment of sustained amygdala activity in response to emotional information in depressed individuals. Biol Psychiatry 51, 693–707.Google Scholar
Siegle, G J, Carter, C S and Thase, M E. 2006. Use of fMRI to predict recovery from unipolar depression with cognitive behavior therapy. Am J Psychiatry 163, 735–8.Google Scholar
Siegle, G J, Thompson, W, Carter, C S, Steinhauer, S R and Thase, M E. 2007. Increased amygdala and decreased dorsolateral prefrontal BOLD responses in unipolar depression: Related and independent features. Biol Psychiatry 61, 198–209.Google Scholar
Solomon, D A, Keller, M B, Leon, A C, et al. 1997. Recovery from major depression. A 10-year prospective follow-up across multiple episodes. Arch Gen Psychiatry 54, 1001–06.Google Scholar
Sprengelmeyer, R, Rausch, M, Eysel, U T and Przuntek, H. 1998. Neural structures associated with recognition of facial expressions of basic emotions. Proc R Soc Lond B Biol Sci 265, 1927–31.Google Scholar
Stuss, D T and Levine, B. 2002. Adult clinical neuropsychology: Lessons from studies of the frontal lobes. Annu Rev Psychol 53, 401–33.Google Scholar
Surguladze, S A, Brammer, M J, Keedwell, P, et al. 2005. A differential pattern of neural response toward sad versus happy facial expressions in major depressive disorder. Biol Psychiatry 57, 201–09.Google Scholar
Surguladze, S A, Brammer, M J, Young, A W, et al. 2003. A preferential increase in the extrastriate response to signals of danger. Neuroimage 19, 1317–28.Google Scholar
Surguladze, S A, Young, A W, Senior, C, Brebion, G, Travis, M J and Phillips, M L. 2004. Recognition accuracy and response bias to happy and sad facial expressions in patients with major depression. Neuropsychology 18, 212–8.Google Scholar
Suslow, T, Junghanns, K and Arolt, V. 2001. Detection of facial expressions of emotions in depression. Percept Motor Skills 92, 857–68.Google Scholar
Teasdale, J D. 1988. Cognitive vulnerability to persistent depression. Cogn Emot 2, 247–74.Google Scholar
Thomas, K M, Drevets, W C, Dahl, R E, et al. 2001. Amygdala response to fearful faces in anxious and depressed children. Arch Gen Psychiatry 58, 1057–63.Google Scholar
Tremblay, L K, Naranjo, C A, Graham, S J, et al. 2005. Functional neuroanatomical substrates of altered reward processing in major depressive disorder revealed by a dopaminergic probe. Arch Gen Psychiatry 62, 1228–36.Google Scholar
Üstün, B T and Chatterji, S. 2001. Global burden of depressive disorders and future projections. In Dawson, A and Tylee, A (Eds.) Depression: Social and Economic Timebomb. London: BMJ, pp. 31–43.
Vaishnavi, S and Taylor, W D. 2006. Neuroimaging in late-life depression. Int Rev Psychiatry 18, 443–51.Google Scholar
Veiel, H O F. 1997. A preliminary profile of neuropsychological deficits associated with major depression. J Clin Exp Neuropsychol 19, 587–603.Google Scholar
Videbech, P, Ravnkilde, B, Pedersen, T H, et al. 2002. The Danish PET/depression project: Clinical symptoms and cerebral blood flow. A regions-of-interest analysis. Acta Psychiatr Scand 106, 35–44.Google Scholar
Walsh, N D, Williams, S C R, Brammer, M J, et al. 2007. A longitudinal functional magnetic resonance imaging study of verbal working memory in depression after antidepressant therapy. Biol Psychiatry 62, 1236–43.Google Scholar
,World Health Organization. 1999. The World Health Report 1999: Making a Difference. Geneva: World Health Organization.
Yao, Z, Wang, L, Lu, Q, Liu, H and Teng, G. 2008. Regional homogeneity in depression and its relationship with separate depressive symptom clusters: A resting-state fMRI study. J Affect Disord 115, 430–8.Google Scholar
Zakzanis, K K, Leach, L and Kaplan, E. 1998. On the nature and pattern of neurocognitive function in major depressive disorder. Neuropsychiatry, Neuropsychol Behav Neurol 11, 111–9.Google Scholar
Zang, Y, Jiang, T, Lu, Y, He, Y and Tian, L. 2004. Regional homogeneity approach to fMRI data analysis. NeuroImage 22, 394–400.Google Scholar
Zola-Morgan, S, Squire, L R, varez-Royo, P and Clower, R P. 1991. Independence of memory functions and emotional behavior: Separate contributions of the hippocampal formation and the amygdala. Hippocampus 1, 207–20.Google Scholar

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