References
- Abbott DF, Pell GS, Pardoe HR, Jackson GD. 2012. Selecting appropriate voxel-based methods for neuroimaging studies. Neuroimage. 59(2):885–886. doi:https://doi.org/10.1016/j.neuroimage.2011.06.083
- Abe O, Yamasue H, Kasai K, Yamada H, Aoki S, Inoue H, Takei K, Suga M, Matsuo K, Kato T, et al. 2010. Voxel-based analyses of gray/white matter volume and diffusion tensor data in major depression. Psychiatry Res. 181(1):64–70. doi:https://doi.org/10.1016/j.pscychresns.2009.07.007
- Andersen SL, Teicher MH. 2008. Stress, sensitive periods and maturational events in adolescent depression. Trends Neurosci. 31(4):183–191. doi:https://doi.org/10.1016/j.tins.2008.01.004
- Ashburner J, Friston KJ. 2000. Voxel-based morphometry—the methods. Neuroimage. 11(6):805–821. doi:https://doi.org/10.1006/nimg.2000.0582
- Ashburner J, Friston KJ. 2001. Why voxel-based morphometry should be used. Neuroimage. 14(6):1238–1243. doi:https://doi.org/10.1006/nimg.2001.0961
- Association AP. 2013. Diagnostic and statistical manual of mental disorders (DSM-5®): American Psychiatric Pub.
- Ballmaier M, Sowell ER, Thompson PM, Kumar A, Narr KL, Lavretsky H, Welcome SE, DeLuca H, Toga AW. 2004. Mapping brain size and cortical gray matter changes in elderly depression. Biol Psychiatry. 55(4):382–389. doi:https://doi.org/10.1016/j.biopsych.2003.09.004
- Ballmaier M, Toga AW, Blanton RE, Sowell ER, Lavretsky H, Peterson J, Pham D, Kumar A. 2004. Anterior cingulate, gyrus rectus, and orbitofrontal abnormalities in elderly depressed patients: an MRI-based parcellation of the prefrontal cortex. Am J Psychiatry. 161(1):99–108. doi:https://doi.org/10.1176/appi.ajp.161.1.99
- Bath KG, Lee FS. 2006. Variant BDNF (Val66Met) impact on brain structure and function. Cogn Affect Behav Neurosci. 6(1):79–85. doi:https://doi.org/10.3758/CABN.6.1.79
- Bell-McGinty S, Butters MA, Meltzer CC, Greer PJ, Reynolds CF, III, Becker JT. 2002. Brain morphometric abnormalities in geriatric depression: long-term neurobiological effects of illness duration. Am J Psychiatry. 159(8):1424–1427. doi:https://doi.org/10.1176/appi.ajp.159.8.1424
- Benjamin S, McQuoid DR, Potter GG, Payne ME, MacFall JR, Steffens DC, Taylor WD. 2010. The brain-derived neurotrophic factor Val66Met polymorphism, hippocampal volume, and cognitive function in geriatric depression. Am J Geriatr Psychiatry. 18(4):323–331. doi:https://doi.org/10.1097/JGP.0b013e3181cabd2b
- Bonelli RM, Cummings JL. 2007. Frontal-subcortical circuitry and behavior. Dialogues Clin Neurosci. 9(2):141–151.
- Bora E, Fornito A, Pantelis C, Yücel M. 2012. Gray matter abnormalities in major depressive disorder: a meta-analysis of voxel based morphometry studies. J Affect Disord. 138(1–2):9–18. doi:https://doi.org/10.1016/j.jad.2011.03.049
- Caetano SC, Hatch JP, Brambilla P, Sassi RB, Nicoletti M, Mallinger AG, Frank E, Kupfer DJ, Keshavan MS, Soares JC. 2004. Anatomical MRI study of hippocampus and amygdala in patients with current and remitted major depression. Psychiatry Res. 132(2):141–147. doi:https://doi.org/10.1016/j.pscychresns.2004.08.002
- Caetano SC, Kaur S, Brambilla P, Nicoletti M, Hatch JP, Sassi RB, Mallinger AG, Keshavan MS, Kupfer DJ, Frank E, et al. 2006. Smaller cingulate volumes in unipolar depressed patients. Biol Psychiatry. 59(8):702–706. doi:https://doi.org/10.1016/j.biopsych.2005.10.011
- Cai N, Bigdeli TB, Kretzschmar W, Li Y, Liang J, Song L, Hu Z. 2015. Sparse whole-genome sequencing identifies two loci for major depressive disorder. Nature. 523(7562):588–591.
- Carballedo A, Morris D, Zill P, Fahey C, Reinhold E, Meisenzahl E, Bondy B, Gill M, Möller H-J, Frodl T. 2013. Brain‐derived neurotrophic factor Val66Met polymorphism and early life adversity affect hippocampal. Am J Med Genet. 162(2):183–190. doi:https://doi.org/10.1002/ajmg.b.32130
- Cardoner N, Soria V, Gratacòs M, Hernández-Ribas R, Pujol J, López-Solà M, Deus J, Urretavizcaya M, Estivill X, Menchón JM, et al. 2013. Val66Met BDNF genotypes in melancholic depression: effects on brain structure and treatment outcome. Depress Anxiety. 30(3):225–233. doi:https://doi.org/10.1002/da.22025
- Chantiluke K, Halari R, Simic M, Pariante CM, Papadopoulos A, Giampietro V, Rubia K. 2012. Fronto-striato-cerebellar dysregulation in adolescents with depression during motivated attention. Biol Psychiatry. 71(1):59–67. doi:https://doi.org/10.1016/j.biopsych.2011.09.005
- Chen VC-H, Shen C-Y, Liang SH-Y, Li Z-H, Tyan Y-S, Liao Y-T, Huang Y-C, Lee Y, McIntyre RS, Weng J-C. 2016. Assessment of abnormal brain structures and networks in major depressive disorder using morphometric and connectome analyses. J Affect Disord. 205:103–111. doi:https://doi.org/10.1016/j.jad.2016.06.066
- Chen Y-C, Zhang H, Kong Y, Lv H, Cai Y, Chen H, Feng Y, Yin X. 2018. Alterations of the default mode network and cognitive impairment in patients with unilateral chronic tinnitus. Quant Imaging Med Surg. 8(10):1020–1029. doi:https://doi.org/10.21037/qims.2018.11.04
- Chen Z-Y, Patel PD, Sant G, Meng C-X, Teng KK, Hempstead BL, Lee FS. 2004. Variant brain-derived neurotrophic factor (BDNF) (Met66) alters the intracellular trafficking and activity-dependent secretion of wild-type BDNF in neurosecretory cells and cortical neurons. J Neurosci. 24(18):4401–4411. doi:https://doi.org/10.1523/JNEUROSCI.0348-04.2004
- Chen Z, Peng W, Sun H, Kuang W, Li W, Jia Z, Gong Q. 2016. High-field magnetic resonance imaging of structural alterations in first-episode, drug-naive patients with major depressive disorder. Transl Psychiatry. 6(11):e942 doi:https://doi.org/10.1038/tp.2016.209
- Cheng Y-Q, Xu J, Chai P, Li H-J, Luo C-R, Yang T, Li L, Shan B-C, Xu X-F, Xu L. 2010. Brain volume alteration and the correlations with the clinical characteristics in drug-naïve first-episode MDD patients: a voxel-based morphometry study. Neurosci Lett. 480(1):30–34. doi:https://doi.org/10.1016/j.neulet.2010.05.075
- Cole J, Weinberger DR, Mattay VS, Cheng X, Toga AW, Thompson PM, Powell-Smith G, Cohen-Woods S, Simmons A, McGuffin P, et al. 2011. No effect of 5HTTLPR or BDNF Val66Met polymorphism on hippocampal morphology in major depression. Genes Brain Behav. 10(7):756–764. doi:https://doi.org/10.1111/j.1601-183X.2011.00714.x
- Coombes SA, Corcos DM, Pavuluri MN, Vaillancourt DE. 2012. Maintaining force control despite changes in emotional context engages dorsomedial prefrontal and premotor cortex. Cereb Cortex. 22(3):616–627. doi:https://doi.org/10.1093/cercor/bhr141
- Cui L, Wang F, Yin Z, Chang M, Song Y, Wei Y, Lv J, Zhang Y, Tang Y, Gong X, et al. 2020. Effects of the LHPP gene polymorphism on the functional and structural changes of gray matter in major depressive disorder. Quant Imaging Med Surg. 10(1):257–268. doi:https://doi.org/10.21037/qims.2019.12.01
- Daly R. 2009. Depression biggest contributor to global disease burden. PN. 44(9):7–7. doi:https://doi.org/10.1176/pn.44.1.0007
- Davies RR, Scahill VL, Graham A, Williams GB, Graham KS, Hodges JR. 2009. Development of an MRI rating scale for multiple brain regions: comparison with volumetrics and with voxel-based morphometry. Neuroradiology. 51(8):491–503. doi:https://doi.org/10.1007/s00234-009-0521-z
- Delgado MR. 2007. Reward-related responses in the human striatum. Ann N Y Acad Sci. 1104(1):70–88. doi:https://doi.org/10.1196/annals.1390.002
- Diaz-de-Grenu LZ, Acosta-Cabronero J, Pereira JM, Pengas G, Williams GB, Nestor PJ. 2011. MRI detection of tissue pathology beyond atrophy in Alzheimer's disease: introducing T2-VBM. Neuroimage. 56(4):1946–1953. doi:https://doi.org/10.1016/j.neuroimage.2011.03.082
- Diener C, Kuehner C, Brusniak W, Ubl B, Wessa M, Flor H. 2012. A meta-analysis of neurofunctional imaging studies of emotion and cognition in major depression. Neuroimage. 61(3):677–685. doi:https://doi.org/10.1016/j.neuroimage.2012.04.005
- Drevets WC. 2000. Functional anatomical abnormalities in limbic and prefrontal cortical structures in major depression. Prog Brain Res. 126:413–431. doi:https://doi.org/10.1016/S0079-6123(00)26027-5
- Drevets WC. 2004. Neuroplasticity in mood disorders. Dialogues Clin Neurosci. 6(2):199–216.
- Drevets WC, Price JL, Furey ML. 2008. Brain structural and functional abnormalities in mood disorders: implications for neurocircuitry models of depression. Brain Struct Funct. 213(1–2):93–118. doi:https://doi.org/10.1007/s00429-008-0189-x
- Du M-Y, Wu Q-Z, Yue Q, Li J, Liao Y, Kuang W-H, Huang X-Q, Chan RCK, Mechelli A, Gong Q-Y. 2012. Voxelwise meta-analysis of gray matter reduction in major depressive disorder. Prog Neuropsychopharmacol Biol Psychiatry. 36(1):11–16. doi:https://doi.org/10.1016/j.pnpbp.2011.09.014
- Dunlop BW, Mayberg HS. 2014. Neuroimaging-based biomarkers for treatment selection in major depressive disorder. Dialogues Clin Neurosci. 16(4):479–490.
- Egger K, Schocke M, Weiss E, Auffinger S, Esterhammer R, Goebel G, Walch T, Mechtcheriakov S, Marksteiner J. 2008. Pattern of brain atrophy in elderly patients with depression revealed by voxel-based morphometry. Psychiatry Res. 164(3):237–244. doi:https://doi.org/10.1016/j.pscychresns.2007.12.018
- Fitzgerald PB, Laird AR, Maller J, Daskalakis ZJ. 2008. A meta-analytic study of changes in brain activation in depression. Hum Brain Mapp. 29(6):683–695. doi:https://doi.org/10.1002/hbm.20426
- Frick A, Åhs F, Engman J, Jonasson M, Alaie I, Björkstrand J, Frans Ö, Faria V, Linnman C, Appel L, et al. 2015. Serotonin synthesis and reuptake in social anxiety disorder: a positron emission tomography study. JAMA Psychiatry. 72(8):794–802. doi:https://doi.org/10.1001/jamapsychiatry.2015.0125
- Frijda NH. 2010. Impulsive action and motivation. Biol Psychol. 84(3):570–579. doi:https://doi.org/10.1016/j.biopsycho.2010.01.005
- Frodl T, Koutsouleris N, Bottlender R, Born C, Jäger M, Mörgenthaler M, Scheuerecker J, Zill P, Baghai T, Schüle C, et al. 2008. Reduced gray matter brain volumes are associated with variants of the serotonin transporter gene in major depression. Mol Psychiatry. 13(12):1093–1101. doi:https://doi.org/10.1038/mp.2008.62
- Frodl T, Meisenzahl E, Zetzsche T, Bottlender R, Born C, Groll C, Jäger M, Leinsinger G, Hahn K, Möller H-J. 2002. Enlargement of the amygdala in patients with a first episode of major depression. Biol Psychiatry. 51(9):708–714. doi:https://doi.org/10.1016/S0006-3223(01)01359-2
- Frodl T, Meisenzahl EM, Zetzsche T, Born C, Groll C, Jäger M, Leinsinger G, Bottlender R, Hahn K, Möller H-J. 2002. Hippocampal changes in patients with a first episode of major depression. Am J Psychiatry. 159(7):1112–1118. doi:https://doi.org/10.1176/appi.ajp.159.7.1112
- Frodl T, Meisenzahl EM, Zetzsche T, Born C, Jäger M, Groll C, Bottlender R, Leinsinger G, Möller H-J. 2003. Larger amygdala volumes in first depressive episode as compared to recurrent major depression and healthy control subjects. Biol Psychiatry. 53(4):338–344. doi:https://doi.org/10.1016/S0006-3223(02)01474-9
- Frodl T, Reinhold E, Koutsouleris N, Reiser M, Meisenzahl EM. 2010. Interaction of childhood stress with hippocampus and prefrontal cortex volume reduction in major depression. J Psychiatr Res. 44(13):799–807. doi:https://doi.org/10.1016/j.jpsychires.2010.01.006
- Frodl T, Schüle C, Schmitt G, Born C, Baghai T, Zill P, Bottlender R, Rupprecht R, Bondy B, Reiser M, et al. 2007. Association of the brain-derived neurotrophic factor Val66Met polymorphism with reduced hippocampal volumes in major depression. Arch Gen Psychiatry. 64(4):410–416. doi:https://doi.org/10.1001/archpsyc.64.4.410
- Fujino J, Yamasaki N, Miyata J, Kawada R, Sasaki H, Matsukawa N, Takemura A, Ono M, Tei S, Takahashi H, et al. 2014. Altered brain response to others' pain in major depressive disorder. J Affect Disord. 165:170–175. doi:https://doi.org/10.1016/j.jad.2014.04.058
- Gonul AS, Kitis O, Eker MC, Eker OD, Ozan E, Coburn K. 2011. Association of the brain-derived neurotrophic factor Val66Met polymorphism with hippocampus volumes in drug-free depressed patients. World J Biol Psychiatry. 12(2):110–118. doi:https://doi.org/10.3109/15622975.2010.507786
- Goodkind M, Eickhoff SB, Oathes DJ, Jiang Y, Chang A, Jones-Hagata LB, Ortega BN, Zaiko YV, Roach EL, Korgaonkar MS, et al. 2015. Identification of a Common Neurobiological Substrate for Mental Illness. JAMA Psychiatry. 72(4):305.doi:https://doi.org/10.1001/jamapsychiatry.2014.2206
- Grieve SM, Korgaonkar MS, Koslow SH, Gordon E, Williams LM. 2013. Widespread reductions in gray matter volume in depression. NeuroImage Clin. 3:332–339. doi:https://doi.org/10.1016/j.nicl.2013.08.016
- Guo W, Liu F, Yu M, Zhang J, Zhang Z, Liu J, Xiao C, Zhao J. 2014. Functional and anatomical brain deficits in drug-naive major depressive disorder. Prog Neuropsychopharmacol Biol Psychiatry. 54:1–6. doi:https://doi.org/10.1016/j.pnpbp.2014.05.008
- Guo W-b, Liu F, Xue Z-m, Xu X-j, Wu R-r, Ma C-q, Wooderson SC, Tan C-l, Sun X-l, Chen J-d, et al. 2012. Alterations of the amplitude of low-frequency fluctuations in treatment-resistant and treatment-response depression: a resting-state fMRI study. Prog Neuropsychopharmacol Biol Psychiatry. 37(1):153–160. doi:https://doi.org/10.1016/j.pnpbp.2012.01.011
- Hach S, Tippett LJ, Addis DR. 2014. Neural changes associated with the generation of specific past and future events in depression. Neuropsychologia. 65:41–55. doi:https://doi.org/10.1016/j.neuropsychologia.2014.10.003
- Haldane M, Cunningham G, Androutsos C, Frangou S. 2008. Structural brain correlates of response inhibition in Bipolar Disorder I. J Psychopharmacol. 22(2):138–143. doi:https://doi.org/10.1177/0269881107082955
- Hickie IB, Naismith SL, Ward PB, Scott EM, Mitchell PB, Schofield PR, Scimone A, Wilhelm K, Parker G. 2007. Serotonin transporter gene status predicts caudate nucleus but not amygdala or hippocampal volumes in older persons with major depression. J Affect Disord. 98(1–2):137–142. doi:https://doi.org/10.1016/j.jad.2006.07.010
- Ide S, Kakeda S, Watanabe K, Yoshimura R, Abe O, Hayashi K, Ueda I, Kishi T, Katsuki A, Umene-Nakano W, et al. 2015. Relationship between a BDNF gene polymorphism and the brain volume in treatment-naive patients with major depressive disorder: a VBM analysis of brain MRI. Psychiatry Res. 233(2):120–124. doi:https://doi.org/10.1016/j.pscychresns.2015.05.016
- Igata N, Kakeda S, Watanabe K, Ide S, Kishi T, Abe O, Igata R, Katsuki A, Iwata N, Yoshimura R, et al. 2017a. Voxel-based morphometric brain comparison between healthy subjects and major depressive disorder patients in Japanese with the s/s genotype of 5-HTTLPR. Sci Rep. 7(1):3931. doi:https://doi.org/10.1038/s41598-017-04347-8
- Igata R, Katsuki A, Kakeda S, Watanabe K, Igata N, Hori H, Konishi Y, Atake K, Kawasaki Y, Korogi Y, et al. 2017b. PCLO rs2522833-mediated gray matter volume reduction in patients with drug-naive, first-episode major depressive disorder. Transl Psychiatry. 7(5):e1140. doi:https://doi.org/10.1038/tp.2017.100
- Insel TR, Cuthbert BN. 2015. Medicine. Brain disorders? Precisely. Science. 348(6234):499–500. doi:https://doi.org/10.1126/science.aab2358
- Iwabuchi S, Liddle PF, Palaniyappan L. 2013. Clinical utility of machine-learning approaches in schizophrenia: improving diagnostic confidence for translational neuroimaging. Front Psychiatry. 4:95. doi:https://doi.org/10.3389/fpsyt.2013.00095
- Janiri D, Moser DA, Doucet GE, Luber MJ, Rasgon A, Lee WH, Murrough JW, Sani G, Eickhoff SB, Frangou S. 2020. Shared neural phenotypes for mood and anxiety disorders: a meta-analysis of 226 task-related functional imaging studies. JAMA Psychiatry. 77(2):172–179.doi:https://doi.org/10.1001/jamapsychiatry.2019.3351.
- Jaworska N, Yücel K, Courtright A, MacMaster FP, Sembo M, MacQueen G. 2016. Subgenual anterior cingulate cortex and hippocampal volumes in depressed youth: the role of comorbidity and age. J Affect Disord. 190:726–732. doi:https://doi.org/10.1016/j.jad.2015.10.064
- Jeon SW, Amidfar M, Kim Y-K. 2017. Bio-psycho-social risk factors for depression. In: Yong-Ku Kim, editor. Major depressive disorder: risk factor, characteristics and treatment book. USA: NOVA publisher, pp. 71–90.
- Kahnt T, Chang LJ, Park SQ, Heinzle J, Haynes J-D. 2012. Connectivity-based parcellation of the human orbitofrontal cortex. J Neurosci. 32(18):6240–6250. doi:https://doi.org/10.1523/JNEUROSCI.0257-12.2012
- Kambeitz J, Cabral C, Sacchet MD, Gotlib IH, Zahn R, Serpa MH, Walter M, Falkai P, Koutsouleris N. 2017. Detecting neuroimaging biomarkers for depression: a meta-analysis of multivariate pattern recognition studies. Biol Psychiatry. 82(5):330–338. doi:https://doi.org/10.1016/j.biopsych.2016.10.028
- Kanellopoulos D, Gunning FM, Morimoto SS, Hoptman MJ, Murphy CF, Kelly RE, Glatt C, Lim KO, Alexopoulos GS. 2011. Hippocampal volumes and the brain-derived neurotrophic factor val66met polymorphism in geriatric major depression. Am J Geriatr Psychiatry. 19(1):13–22. doi:https://doi.org/10.1097/jgp.0b013e3181f61d62
- Kempton MJ, Salvador Z, Munafò MR, Geddes JR, Simmons A, Frangou S, Williams SC. 2011. Structural neuroimaging studies in major depressive disorder. Meta-analysis and comparison with bipolar disorder. Arch Gen Psychiatry. 68(7):675–690. doi:https://doi.org/10.1001/archgenpsychiatry.2011.60
- Kennedy SE, Koeppe RA, Young EA, Zubieta J-K. 2006. Dysregulation of endogenous opioid emotion regulation circuitry in major depression in women. Arch Gen Psychiatry. 63(11):1199–1208. doi:https://doi.org/10.1001/archpsyc.63.11.1199
- Kessler RC, Berglund P, Demler O, Jin R, Koretz D, Merikangas KR, Rush AJ, Walters EE, Wang PS. 2003. The epidemiology of major depressive disorder: results from the National Comorbidity Survey Replication (NCS-R). JAMA. 289(23):3095–3105. doi:https://doi.org/10.1001/jama.289.23.3095
- Keysers C, Kaas JH, Gazzola V. 2010. Somatosensation in social perception. Nat Rev Neurosci. 11(6):417–428. doi:https://doi.org/10.1038/nrn2833
- Kong L, Wu F, Tang Y, Ren L, Kong D, Liu Y, Xu K, Wang F. 2014. Frontal-subcortical volumetric deficits in single episode, medication-naive depressed patients and the effects of 8 weeks fluoxetine treatment: a VBM-DARTEL study. PloS One. 9(1):e79055. doi:https://doi.org/10.1371/journal.pone.0079055
- Koolschijn PCM, van Haren NE, Lensvelt‐Mulders GJ, Hulshoff Pol HE, Kahn RS. 2009. Brain volume abnormalities in major depressive disorder: A meta-analysis of magnetic resonance imaging studies. Hum Brain Mapp. 30(11):3719–3735. doi:https://doi.org/10.1002/hbm.20801
- Koolschijn PCM, van Haren NE, Schnack HG, Janssen J, Pol HEH, Kahn RS. 2010. Cortical thickness and voxel-based morphometry in depressed elderly. Eur Neuropsychopharmacol. 20(6):398–404. doi:https://doi.org/10.1016/j.euroneuro.2010.02.010
- Koutsouleris N, Meisenzahl EM, Davatzikos C, Bottlender R, Frodl T, Scheuerecker J, Schmitt G, Zetzsche T, Decker P, Reiser M, et al. 2009. Use of neuroanatomical pattern classification to identify subjects in at-risk mental states of psychosis and predict disease transition. Arch Gen Psychiatry. 66(7):700–712. doi:https://doi.org/10.1001/archgenpsychiatry.2009.62
- Lacerda ALT, Keshavan MS, Hardan AY, Yorbik O, Brambilla P, Sassi RB, Nicoletti M, Mallinger AG, Frank E, Kupfer DJ, et al. 2004. Anatomic evaluation of the orbitofrontal cortex in major depressive disorder. Biol Psychiatry. 55(4):353–358. doi:https://doi.org/10.1016/j.biopsych.2003.08.021
- Lai C-H, Wu Y-T. 2014. Frontal-insula gray matter deficits in first-episode medication-naïve patients with major depressive disorder. J Affect Disord. 160:74–79. doi:https://doi.org/10.1016/j.jad.2013.12.036
- Lampe IK, Hulshoff Pol HE, Janssen J, Schnack HG, Kahn RS, Heeren TJ. 2003. Association of depression duration with reduction of global cerebral gray matter volume in female patients with recurrent major depressive disorder. Am J Psychiatry. 160(11):2052–2054. doi:https://doi.org/10.1176/appi.ajp.160.11.2052
- Leung K-K, Lee T, Wong M, Li L, Yip P, Khong P-L. 2009. Neural correlates of attention biases of people with major depressive disorder: a voxel-based morphometric study. Psychol Med. 39(7):1097–1106. doi:https://doi.org/10.1017/S0033291708004546
- Liu C-H, Jing B, Ma X, Xu P-F, Zhang Y, Li F, Wang Y-P, Tang L-R, Wang Y-J, Li H-Y, et al. 2014. Voxel-based morphometry study of the insular cortex in female patients with current and remitted depression. Neuroscience. 262:190–199. doi:https://doi.org/10.1016/j.neuroscience.2013.12.058
- Liu L, Zeng L-L, Li Y, Ma Q, Li B, Shen H, Hu D. 2012. Altered cerebellar functional connectivity with intrinsic connectivity networks in adults with major depressive disorder. PLoS One. 7(6):e39516. doi:https://doi.org/10.1371/journal.pone.0039516
- Liu Z, Xu C, Xu Y, Wang Y, Zhao B, Lv Y, Cao X, Zhang K, Du C. 2010. Decreased regional homogeneity in insula and cerebellum: a resting-state fMRI study in patients with major depression and subjects at high risk for major depression. Psychiatry Res. 182(3):211–215. doi:https://doi.org/10.1016/j.pscychresns.2010.03.004
- Lorenzetti V, Allen NB, Fornito A, Yücel M. 2009. Structural brain abnormalities in major depressive disorder: a selective review of recent MRI studies. J Affect Disord. 117(1–2):1–17. doi:https://doi.org/10.1016/j.jad.2008.11.021
- Lu Y, Liang H, Han D, Mo Y, Li Z, Cheng Y, Xu X, Shen Z, Tan C, Zhao W, et al. 2016. The volumetric and shape changes of the putamen and thalamus in first episode, untreated major depressive disorder. NeuroImage: Clinical. 11:658–666. doi:https://doi.org/10.1016/j.nicl.2016.04.008
- Ma C, Ding J, Li J, Guo W, Long Z, Liu F, Gao Q, Zeng L, Zhao J, Chen H. 2012. Resting-state functional connectivity bias of middle temporal gyrus and caudate with altered gray matter volume in major depression. PloS One. 7(9):e45263. doi:https://doi.org/10.1371/journal.pone.0045263
- Mayberg HS, Liotti M, Brannan SK, McGinnis S, Mahurin RK, Jerabek PA, Silva JA, Tekell JL, Martin CC, Lancaster JL, et al. 1999. Reciprocal limbic-cortical function and negative mood: converging PET findings in depression and normal sadness. Am J Psychiatry. 156(5):675–682. doi:https://doi.org/10.1176/ajp.156.5.675
- Molendijk ML, van Tol M-J, Penninx BWJH, van der Wee NJA, Aleman A, Veltman DJ, Spinhoven P, Elzinga BM. 2012. BDNF val66met affects hippocampal volume and emotion-related hippocampal memory activity. Transl Psychiatry. 2(1):e74. doi:https://doi.org/10.1038/tp.2011.72
- Moryś JM, Bobek-Billewicz B, Dziewiatkowski J, Ratajczak I, Pankiewicz P, Narkiewicz O, Moryś J. 2003. A magnetic resonance volumetric study of the temporal lobe structures in depression. Folia Morphol (Warsz). 62(4):347–352.
- Neff CD, Abkevich V, Packer JCL, Chen Y, Potter J, Riley R, Davenport C, DeGrado Warren J, Jammulapati S, Bhathena A, et al. 2009. Evidence for HTR1A and LHPP as interacting genetic risk factors in major depression. Mol Psychiatry. 14(6):621–630. doi:https://doi.org/10.1038/mp.2008.8
- Nestler EJ, Hyman SE. 2010. Animal models of neuropsychiatric disorders. Nat Neurosci. 13(10):1161–1169. doi:https://doi.org/10.1038/nn.2647
- Neumeister A, Wood S, Bonne O, Nugent AC, Luckenbaugh DA, Young T, Bain EE, Charney DS, Drevets WC. 2005. Reduced hippocampal volume in unmedicated, remitted patients with major depression versus control subjects. Biol Psychiatry. 57(8):935–937. doi:https://doi.org/10.1016/j.biopsych.2005.01.016
- Nolan CL, Moore GJ, Madden R, Farchione T, Bartoi M, Lorch E, Stewart CM, Rosenberg DR. 2002. Prefrontal cortical volume in childhood-onset major depression: preliminary findings. Arch Gen Psychiatry. 59(2):173–179. doi:https://doi.org/10.1001/archpsyc.59.2.173
- Nugent AC, Davis RM, Zarate CA, Jr, Drevets WC. 2013. Reduced thalamic volumes in major depressive disorder. Psychiatry Res Neuroimaging. 213(3):179–185. doi:https://doi.org/10.1016/j.pscychresns.2013.05.004
- Peng J, Liu J, Nie B, Li Y, Shan B, Wang G, Li K. 2011. Cerebral and cerebellar gray matter reduction in first-episode patients with major depressive disorder: a voxel-based morphometry study. Eur J Radiol. 80(2):395–399. doi:https://doi.org/10.1016/j.ejrad.2010.04.006
- Phillips ML, Drevets WC, Rauch SL, Lane R. 2003. Neurobiology of emotion perception I: the neural basis of normal emotion perception. Biol Psychiatry. 54(5):504–514. doi:https://doi.org/10.1016/s0006-3223(03)00168-9
- Pizzagalli DA, Oakes TR, Fox AS, Chung MK, Larson CL, Abercrombie HC, Schaefer SM, Benca RM, Davidson RJ. 2004. Functional but not structural subgenual prefrontal cortex abnormalities in melancholia. Mol Psychiatry. 9(4):393–405. doi:https://doi.org/10.1038/sj.mp.4001469
- Price JL, Drevets WC. 2012. Neural circuits underlying the pathophysiology of mood disorders. Trends Cogn Sci. 16(1):61–71. doi:https://doi.org/10.1016/j.tics.2011.12.011
- Qi Q, Wang W, Deng Z, Weng W, Feng S, Li D, Wu Z, Liu H. 2018. Gray matter volume abnormalities in the reward system in first-episode patients with major depressive disorder. International Conference on Advanced Machine Learning Technologies and Applications. Springer; pp. 704–714.
- Qiu L, Lui S, Kuang W, Huang X, Li J, Li J, Zhang J, Chen H, Sweeney JA, Gong Q. 2014. Regional increases of cortical thickness in untreated, first-episode major depressive disorder. Transl Psychiatry. 4(4):e378. doi:https://doi.org/10.1038/tp.2014.18
- Radua J, Canales-Rodríguez EJ, Pomarol-Clotet E, Salvador R. 2014. Validity of modulation and optimal settings for advanced voxel-based morphometry. Neuroimage. 86:81–90. doi:https://doi.org/10.1016/j.neuroimage.2013.07.084
- Ridgway GR, Henley SM, Rohrer JD, Scahill RI, Warren JD, Fox NC. 2008. Ten simple rules for reporting voxel-based morphometry studies. Neuroimage. 40(4):1429–1435. doi:https://doi.org/10.1016/j.neuroimage.2008.01.003
- Salvadore G, Nugent AC, Lemaitre H, Luckenbaugh DA, Tinsley R, Cannon DM, Neumeister A, Zarate CA, Drevets WC. 2011. Prefrontal cortical abnormalities in currently depressed versus currently remitted patients with major depressive disorder. Neuroimage. 54(4):2643–2651. doi:https://doi.org/10.1016/j.neuroimage.2010.11.011
- Saylam C, Üçerler H, Kitiş Ö, Ozand E, Gönül AS. 2006. Reduced hippocampal volume in drug-free depressed patients. Surg Radiol Anat. 28(1):82–87. doi:https://doi.org/10.1007/s00276-005-0050-3
- Scarpazza C, Tognin S, Frisciata S, Sartori G, Mechelli A. 2015. False positive rates in Voxel-based Morphometry studies of the human brain: should we be worried? Neurosci Biobehav Rev. 52:49–55. doi:https://doi.org/10.1016/j.neubiorev.2015.02.008
- Scheuerecker J, Meisenzahl EM, Koutsouleris N, Roesner M, Schöpf V, Linn J, … Frodl T. 2010. Orbitofrontal volume reductions during emotion recognition in patients with major depression. J Psychiatry Neurosci. 35(5):311. doi:https://doi.org/10.1503/jpn.090076
- Schmaal L, Hibar DP, Sämann PG, Hall GB, Baune BT, Jahanshad N, Cheung JW, van Erp TGM, Bos D, Ikram MA, et al. 2017. Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group. Mol Psychiatry. 22(6):900–909. doi:https://doi.org/10.1038/mp.2016.60
- Schmaal L, Veltman DJ, van Erp TGM, Sämann PG, Frodl T, Jahanshad N, Loehrer E, Tiemeier H, Hofman A, Niessen WJ, et al. 2016. Subcortical brain alterations in major depressive disorder: findings from the ENIGMA Major Depressive Disorder working group. Mol Psychiatry. 21(6):806–812. doi:https://doi.org/10.1038/mp.2015.69
- Serra-Blasco M, Portella MJ, Gómez-Ansón B, de Diego-Adeliño J, Vives-Gilabert Y, Puigdemont D, Granell E, Santos A, Álvarez E, Pérez V. 2013. Effects of illness duration and treatment resistance on grey matter abnormalities in majordepression. Br J Psychiatry. 202(6):434–440. doi:https://doi.org/10.1192/bjp.bp.112.116228
- Sha Z, Wager TD, Mechelli A, He Y. 2019. Common dysfunction of large-scale neurocognitive networks across psychiatric disorders. Biol. Psychiatry. 85(5):379–388. doi:https://doi.org/10.1016/j.biopsych.2018.11.011.
- Shad MU, Muddasani S, Rao U. 2012. Gray matter differences between healthy and depressed adolescents: a voxel-based morphometry study. J Child Adolesc Psychopharmacol. 22(3):190–197. doi:https://doi.org/10.1089/cap.2011.0005
- Shah P, Glabus M, Goodwin G, Ebmeier K. 2002. Chronic, treatment-resistant depression and right fronto-striatal atrophy. Br J Psychiatry. 180(5):434–440. doi:https://doi.org/10.1192/bjp.180.5.434
- Sheline YI. 2000. 3D MRI studies of neuroanatomic changes in unipolar major depression: the role of stress and medical comorbidity. Biol Psychiatry. 48(8):791–800. doi:https://doi.org/10.1016/S0006-3223(00)00994-X
- Sheline YI, Gado MH, Kraemer HC. 2003. Untreated depression and hippocampal volume loss. Am J Psychiatry. 160(8):1516–1518. doi:https://doi.org/10.1176/appi.ajp.160.8.1516
- Shen Z, Cheng Y, Yang S, Dai N, Ye J, Liu X, Lu J, Li N, Liu F, Lu Y, et al. 2016. Changes of grey matter volume in first-episode drug-naive adult major depressive disorder patients with different age-onset. Neuroimage Clin. 12:492–498. doi:https://doi.org/10.1016/j.nicl.2016.08.016
- Smith R, Chen K, Baxter L, Fort C, Lane RD. 2013. Antidepressant effects of sertraline associated with volume increases in dorsolateral prefrontal cortex. J Affect Disord. 146(3):414–419. doi:https://doi.org/10.1016/j.jad.2012.07.029
- Soriano-Mas C, Hernández-Ribas R, Pujol J, Urretavizcaya M, Deus J, Harrison BJ, Ortiz H, López-Solà M, Menchón JM, Cardoner N. 2011. Cross-sectional and longitudinal assessment of structural brain alterations in melancholic depression. Biol Psychiatry. 69(4):318–325. doi:https://doi.org/10.1016/j.biopsych.2010.07.029
- Sprengelmeyer R, Steele JD, Mwangi B, Kumar P, Christmas D, Milders M, Matthews K. 2011. The insular cortex and the neuroanatomy of major depression. J Affect Disord. 133(1–2):120–127. doi:https://doi.org/10.1016/j.jad.2011.04.004
- Stratmann M, Konrad C, Kugel H, Krug A, Schöning S, Ohrmann P, Uhlmann C, Postert C, Suslow T, Heindel W, et al. 2014. Insular and hippocampal gray matter volume reductions in patients with major depressive disorder. PloS One. 9(7):e102692. doi:https://doi.org/10.1371/journal.pone.0102692
- Streitbürger D-P, Pampel A, Krueger G, Lepsien J, Schroeter ML, Mueller K, Möller HE. 2014. Impact of image acquisition on voxel-based-morphometry investigations of age-related structural brain changes. Neuroimage. 87:170–182. doi:https://doi.org/10.1016/j.neuroimage.2013.10.051
- Sullivan PF, de Geus EJC, Willemsen G, James MR, Smit JH, Zandbelt T, Arolt V, Baune BT, Blackwood D, Cichon S, et al. 2009. Genome-wide association for major depressive disorder: a possible role for the presynaptic protein piccolo. Mol Psychiatry. 14(4):359–375. doi:https://doi.org/10.1038/mp.2008.125
- Taki Y, Kinomura S, Awata S, Inoue K, Sato K, Ito H, Goto R, Uchida S, Tsuji I, Arai H, et al. 2005. Male elderly subthreshold depression patients have smaller volume of medial part of prefrontal cortex and precentral gyrus compared with age-matched normal subjects: a voxel-based morphometry. J Affect Disord. 88(3):313–320. doi:https://doi.org/10.1016/j.jad.2005.08.003
- Tang Y, Wang F, Xie G, Liu J, Li L, Su L, Liu Y, Hu X, He Z, Blumberg HP. 2007. Reduced ventral anterior cingulate and amygdala volumes in medication-naïve females with major depressive disorder: A voxel-based morphometric magnetic resonance imaging study. Psychiatry Res. 156(1):83–86. doi:https://doi.org/10.1016/j.pscychresns.2007.03.005
- Tardif CL, Collins DL, Pike GB. 2009. Sensitivity of voxel-based morphometry analysis to choice of imaging protocol at 3 T. Neuroimage. 44(3):827–838. doi:https://doi.org/10.1016/j.neuroimage.2008.09.053
- Taylor WD, Boyd B, McQuoid DR, Kudra K, Saleh A, MacFall JR. 2015. Widespread white matter but focal gray matter alterations in depressed individuals with thoughts of death. Prog Neuropsychopharmacol Biol Psychiatry. 62:22–28. doi:https://doi.org/10.1016/j.pnpbp.2015.05.001
- Uchida RR, Del-Ben CM, Araújo D, Busatto-Filho G, Duran FL, Crippa JA, Graeff FG. 2008. Correlation between voxel based morphometry and manual volumetry in magnetic resonance images of the human brain. An Acad Bras Cienc. 80(1):149–156. doi:https://doi.org/10.1590/s0001-37652008000100010
- van Eijndhoven P, van Wingen G, van Oijen K, Rijpkema M, Goraj B, Jan Verkes R, Oude Voshaar R, Fernández G, Buitelaar J, Tendolkar I. 2009. Amygdala volume marks the acute state in the early course of depression. Biol Psychiatry. 65(9):812–818. doi:https://doi.org/10.1016/j.biopsych.2008.10.027
- Vasic N, Walter H, Höse A, Wolf RC. 2008. Gray matter reduction associated with psychopathology and cognitive dysfunction in unipolar depression: a voxel-based morphometry study. J Affect Disord. 109(1–2):107–116. doi:https://doi.org/10.1016/j.jad.2007.11.011
- Videbech P, Ravnkilde B. 2004. Hippocampal volume and depression: a meta-analysis of MRI studies. Am J Psychiatry. 161(11):1957–1966. doi:https://doi.org/10.1176/appi.ajp.161.11.1957
- Vizueta N, Rudie JD, Townsend JD, Torrisi S, Moody TD, Bookheimer SY, Altshuler LL. 2012. Regional fMRI hypoactivation and altered functional connectivity during emotion processing in nonmedicated depressed patients with bipolar II disorder. Am J Psychiatry. 169(8):831–840. doi:https://doi.org/10.1176/appi.ajp.2012.11030349
- Watanabe K, Kakeda S, Yoshimura R, Abe O, Ide S, Hayashi K, Katsuki A, Umene-Nakano W, Watanabe R, Nakamura J, et al. 2015. Relationship between the catechol-O-methyl transferase Val108/158Met genotype and brain volume in treatment-naive major depressive disorder: voxel-based morphometry analysis. Psychiatry Res. 233(3):481–487. doi:https://doi.org/10.1016/j.pscychresns.2015.07.024
- Webb CA, Weber M, Mundy EA, Killgore WD. 2014. Reduced gray matter volume in the anterior cingulate, orbitofrontal cortex and thalamus as a function of mild depressive symptoms: a voxel-based morphometric analysis. Psychol Med. 44(13):2833–2843. doi:https://doi.org/10.1017/S0033291714000348
- Williams DR, Gonzalez HM, Neighbors H, Nesse R, Abelson JM, Sweetman J, Jackson JS. 2007. Prevalence and distribution of major depressive disorder in African Americans, Caribbean blacks, and non-Hispanic whites: results from the National Survey of American Life. Arch Gen Psychiatry. 64(3):305–315. doi:https://doi.org/10.1001/archpsyc.64.3.305
- Yamamura T, Okamoto Y, Okada G, Takaishi Y, Takamura M, Mantani A, Kurata A, Otagaki Y, Yamashita H, Yamawaki S. 2016. Association of thalamic hyperactivity with treatment-resistant depression and poor response in early treatment for major depression: a resting-state fMRI study using fractional amplitude of low-frequency fluctuations. Transl Psychiatry. 6(3):e754. doi:https://doi.org/10.1038/tp.2016.18
- Yang S, Cheng Y, Mo Y, Bai Y, Shen Z, Liu F, Li N, Jiang L, Chen W, Lu Y, et al. 2017. Childhood maltreatment is associated with gray matter volume abnormalities in patients with first-episode depression. Psychiatry Res Neuroimaging. 268:27–34. doi:https://doi.org/10.1016/j.pscychresns.2017.07.005
- Yeh P-H, Zhu H, Nicoletti MA, Hatch JP, Brambilla P, Soares JC. 2010. Structural equation modeling and principal component analysis of gray matter volumes in major depressive and bipolar disorders: differences in latent volumetric structure. Psychiatry Res. 184(3):177–185. doi:https://doi.org/10.1016/j.pscychresns.2010.07.007
- Yokoi F, Hiraishi H, Izuhara K. 2003. Molecular cloning of a cDNA for the human phospholysine phosphohistidine inorganic pyrophosphate phosphatase. J Biochem. 133(5):607–614. doi:https://doi.org/10.1093/jb/mvg078
- Young KA, Bonkale WL, Holcomb LA, Hicks PB, German DC. 2008. Major depression, 5HTTLPR genotype, suicide and antidepressant influences on thalamic volume. Br J Psychiatry. 192(4):285–289. doi:https://doi.org/10.1192/bjp.bp.107.039180
- Yuan Y, Zhu W, Zhang Z, Bai F, Yu H, Shi Y, Qian Y, Liu W, Jiang T, You J, et al. 2008. Regional gray matter changes are associated with cognitive deficits in remitted geriatric depression: an optimized voxel-based morphometry study. Biol Psychiatry. 64(6):541–544. doi:https://doi.org/10.1016/j.biopsych.2008.04.032
- Zhang X, Yao S, Zhu X, Wang X, Zhu X, Zhong M. 2012. Gray matter volume abnormalities in individuals with cognitive vulnerability to depression: a voxel-based morphometry study. J Affect Disord. 136(3):443–452. doi:https://doi.org/10.1016/j.jad.2011.11.005
- Zhao Y-J, Du M-Y, Huang X-Q, Lui S, Chen Z-Q, Liu J, Luo Y, Wang X-L, Kemp GJ, Gong Q-Y. 2014. Brain grey matter abnormalities in medication-free patients with major depressive disorder: a meta-analysis. Psychol Med. 44(14):2927–2937. doi:https://doi.org/10.1017/S0033291714000518
- Zhao Y, Chen L, Zhang W, Xiao Y, Shah C, Zhu H, Yuan M, Sun H, Yue Q, Jia Z, et al. 2017. Gray matter abnormalities in non-comorbid medication-naive patients with major depressive disorder or social anxiety disorder. EBioMedicine. 21:228–235. doi:https://doi.org/10.1016/j.ebiom.2017.06.013
- Zhuo C, Zhu J, Wang C, Qu H, Ma X, Qin W. 2017. Different spatial patterns of brain atrophy and global functional connectivity impairments in major depressive disorder. Brain Imaging Behav. 11(6):1678–1689. doi:https://doi.org/10.1007/s11682-016-9645-z
- Zou K, Deng W, Li T, Zhang B, Jiang L, Huang C, Sun X, Sun X. 2010. Changes of brain morphometry in first-episode, drug-naïve, non-late-life adult patients with major depression: an optimized voxel-based morphometry study. Biol Psychiatry. 67(2):186–188. doi:https://doi.org/10.1016/j.biopsych.2009.09.014