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Brain volume abnormalities in major depressive disorder: A meta‐analysis of magnetic resonance imaging studies
Open accessAbstract
Objective. So far, there have been no attempts to integrate the growing number of all brain volumetric magnetic resonance imaging studies in depression. In this comprehensive meta‐analysis the magnitude and extent of brain volume differences between 2,418 patients with major depressive disorder and 1,974 healthy individuals from 64 studies was determined. Methods. A systematic research was conducted for volumetric magnetic resonance imaging studies of patients with major depressive disorder in relation to healthy control subjects. Studies had to report sufficient data for computation of effect sizes. For each study, the Cohen's d was calculated. All analyses were performed using the random effects model. Additionally, meta‐regression analyses were done to explore the effects of potential sources of heterogeneity. Results. Patients showed large volume reductions in frontal regions, especially in the anterior cingulate and orbitofrontal cortex with smaller reductions in the prefrontal cortex. The hippocampus, the putamen and caudate nucleus showed moderate volume reductions. Conclusions. This is the first comprehensive meta‐analysis in major depressive disorder demonstrating structural brain abnormalities, particularly in those brain areas that are involved in emotion processing and stress‐regulation. Hum Brain Mapp, 2009. © 2009 Wiley‐Liss, Inc.
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“An early meta-analysis (64 structural MRI studies) reported that frontal regions showed the largest volumetric reductions in MDD [78], particularly in the ACC and bilateral OFC, although distinct subregions were not investigated (see also [79]).”
From Prefrontal cortex and depression (2022) · cites this paper as [78]
In the citing paper
“These meta-analyses have reported moderate effect sizes for reduced hippocampal volume in MDD (Cohen’s d range = −0.41 to −0.47; 6,8,9).”
From The Impact of Stress and Major Depressive Disorder on Hippocampal and Medial Prefrontal Cortex Morphology (2019) · cites this paper as [6]
In the citing paper
“several meta-analyses have demonstrated that, relative to healthy controls (HCs), individuals with MDD show reduced hippocampus and mPFC volumes, including dorsal and ventral mPFC portions (dmPFC/vmPFC) extending into the medial orbital frontal cortex (mOFC) as well as dorsal and rostral portions of the anterior cingulate cortex (rACC/dACC) (2,4–14).”
From The Impact of Stress and Major Depressive Disorder on Hippocampal and Medial Prefrontal Cortex Morphology (2019) · cites this paper as [6]
In the citing paper
“As extracellular glutamate release outpaces clearance by glial cells, and the ensuing inflammation and neurodegeneration likely contribute to the acute volume reductions and other cytoarchitectural abnormalities detected in depressed patients’ brains [35].”
From Pharmacotherapies Targeting GABA-Glutamate Neurotransmission for Treatment-Resistant Depression (2023) · cites this paper as [35]
In the citing paper
“Meta-analyses revealed that depressed patients showed large volume reductions in frontal regions, especially in the anterior cingulate and OFC (Koolschijn et al., 2009; Lorenzetti et al., 2009).”
From The orbitofrontal cortex: reward, emotion and depression (2020) · cites this paper as Koolschijn et al., 2009
In the citing paper
“Previous studies have used MRI to detect brain structural abnormalities in patients with MDD, but they have produced heterogeneous and often conflicting results (Arnone et al., 2012; Bora et al., 2012; Koolschijn et al., 2009).”
From Widespread reductions in gray matter volume in depression (2013) · cites this paper as Koolschijn et al., 2009
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Citations
Cites
Statistical Power Analysis for the Behavioral Sciences
Muller, K. E., & Cohen, J. (1989) · Technometrics · doi:10.2307/1270020 · Cited by 99,603
Statistical power analysis for the behavioral sciences
Cohen, J. (1990) · Computers Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,417
Measuring inconsistency in meta-analyses
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ · doi:10.1136/bmj.327.7414.557 · Cited by 63,139
Meta-analysis in clinical trials
DerSimonian, R., & Laird, N. (1986) · Controlled Clinical Trials · doi:10.1016/0197-2456(86)90046-2 · Cited by 39,552
Quantifying heterogeneity in a meta‐analysis
Higgins, J. P. T., & Thompson, S. G. (2002) · Statistics in Medicine · doi:10.1002/sim.1186 · Cited by 36,763
Wasserman, S. S., Hedges, L. V., & Olkin, I. (1988) · Journal of Educational Statistics · doi:10.2307/1164953 · Cited by 10,377
Voxel-Based Morphometry—The Methods
Ashburner, J., & Friston, K. J. (2000) · NeuroImage · doi:10.1006/nimg.2000.0582 · Cited by 8,676
Parallel organization of functionally segregated circuits linking basal ganglia and cortex
Alexander, G. E., DeLong, M. R., & Strick, P. L. (1986) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.09.030186.002041 · Cited by 8,527
Kessler, R. C., Berglund, P., Demler, O., Jin, R., Koretz, D., Merikangas, K. R., Rush, A. J., Walters, E. E., & Wang, P. S. (2003) · JAMA · doi:10.1001/jama.289.23.3095 · Cited by 7,988
Measuring the thickness of the human cerebral cortex from magnetic resonance images
Fischl, B. R., & Dale, A. M. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.200033797 · Cited by 5,995
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1 of the 209 references couldn’t be matched to a known paper.
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- 10.1097/JGP.0000300628.33669.03 · DOI
- Walker E, Stress and the HPA axis activity in the developmental course of schizophrenia, Annu Rev Clin Psychol
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Elbejjani, M., Fuhrer, R., Abrahamowicz, M., Mazoyer, B. M., Crivello, F., Tzourio, C., & Dufouil, C. (2014) · American Journal of Epidemiology · doi:10.1093/aje/kwu132 · Cited by 21
Rajkumar, R., & Dawe, G. S. (2018) · Journal of Chemical Neuroanatomy · doi:10.1016/j.jchemneu.2018.04.001 · Cited by 20
Singhal, G., Singhal, S., & Baune, B. T. (2025) · Neuroprotection/Neuroprotection (Chichester, England. Print) · doi:10.1002/nep3.70009 · Cited by 22
Sinka, L., Kövari, E., Santos, M., Herrmann, F. R., Gold, G., Hof, P. R., Bouras, C., & Giannakopoulos, P. (2012) · Neuropathology and Applied Neurobiology · doi:10.1111/j.1365-2990.2012.01263.x · Cited by 17
Total sugar intake is associated with higher prevalence of depressive symptoms in obese adults
Li, P., Yin, F., Zhao, Y., Liu, Y., Zhang, R., Wang, J., Lü, W., Wang, Q., & Zhang, J. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2022.1069162 · Cited by 18
Basal ganglia morphology links the metabolic syndrome and depressive symptoms
Onyewuenyi, I. C., Muldoon, M. F., Christie, I. C., Erickson, K. I., & Gianaros, P. J. (2013) · Physiology & Behavior · doi:10.1016/j.physbeh.2013.09.014 · Cited by 18
Willard, S. L., Hemby, S. E., Register, T. C., McIntosh, S., & Shively, C. A. (2014) · Neuroscience Letters · doi:10.1016/j.neulet.2014.01.012 · Cited by 18
Towards automated detection of depression from brain structural magnetic resonance images
Kipli, K., Kouzani, A. Z., & Williams, L. J. (2013) · Neuroradiology · doi:10.1007/s00234-013-1139-8 · Cited by 18
Raduà, J., El‐Hage, W., Monté, G. C., Gohier, B., Tropeano, M., Phillips, M. L., & Surguladze, S. A. (2013) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nst089 · Cited by 19
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Alhusaini, S., Whelan, C. D., Sisodiya, S. M., & Thompson, P. M. (2016) · NeuroImage Clinical · doi:10.1016/j.nicl.2016.09.005 · Cited by 18
Zhang, A., Li, G., Yang, C., Liu, P., Wang, Y., Kang, L., Wang, Y., & Zhang, K. (2019) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s199456 · Cited by 18
Choi, K. W., Han, K., Kim, H., Kim, A., Kang, W., Kang, Y., Tae, W., & Ham, B. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.01.011 · Cited by 17
Liu, S.-W., Li, X.-Y., Ma, R., Cao, H.-X., Jing, C.-W., Wang, Z., Chen, D., Zhang, J.-Y., Zhang, Y., Feng, J.-F., et al. (2020) · Translational Lung Cancer Research · doi:10.21037/tlcr-20-273 · Cited by 14
Stanisavljević, A., Perić, I., Gass, P., Inta, D., Lang, U. E., Borgwardt, S., & Filipović, D. (2020) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2020.07.021 · Cited by 18
Lee, J. S., Kang, W., Kang, Y., Kim, A., Han, K., Tae, W., & Ham, B. (2021) · Psychiatry Investigation · doi:10.30773/pi.2021.0099 · Cited by 19
Weller, R. E., Stoeckel, L. E., Milby, J. B., Bolding, M., Twieg, D. B., Knowlton, R. C., Avison, M. J., & Ding, Z. (2011) · The Open Neuroimaging Journal · doi:10.2174/1874440001105010057 · Cited by 19
Hammar, Å., Neto, E., Clemo, L., Hjetland, G. J., Hugdahl, K., & Elliott, R. (2016) · PsyCh Journal · doi:10.1002/pchj.134 · Cited by 18
Daniels, A., Wellan, S. A., Beck, A., Erk, S., Wackerhagen, C., Romanczuk‐Seiferth, N., Schwarz, K., Schweiger, J. I., Meyer‐Lindenberg, A., Heinz, A., et al. (2025) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-024-01261-1 · Cited by 20
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Fidilio, A., Grasso, M., Caruso, G., Musso, N., Begni, V., Privitera, A., Torrisi, S. A., Campolongo, P., Schiavone, S., Tascedda, F., et al. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.1075746 · Cited by 19
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Wang, B., He, T., Qiu, G., Li, C., Xue, S., Zheng, Y., Wang, T., Xia, Y., Yao, L., Yan, J., et al. (2025) · Cell & Bioscience · doi:10.1186/s13578-025-01369-y · Cited by 19
Özalay, Ö., Çallı, C., Kitiş, Ö., Eker, M. C., Eker, Ö. D., Ozan, E., Coburn, K. L., & Gönül, A. S. (2012) · Journal of Affective Disorders · doi:10.1016/j.jad.2012.06.040 · Cited by 17
Moon, C., Yang, J.-C., & Jeong, G. (2016) · Acta Radiologica · doi:10.1177/0284185116633915 · Cited by 17
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Soares, J. M., Marques, P., Magalhães, R. J. D. S., Santos, N. C., & Sousa, N. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00330 · Cited by 17
Feltmann, K., Konradsson‐Geuken, Å., Bundel, D. D., Lindskog, M., & Schilström, B. (2015) · Behavioral Neuroscience · doi:10.1037/bne0000100 · Cited by 17
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Marek, G. J., Day, M., & Hudzik, T. J. (2015) · Journal of Pharmacology and Experimental Therapeutics · doi:10.1124/jpet.115.229922 · Cited by 16
Zhang, S., Hu, J., Liu, G., Wu, H., Li, M., Shi, C., Liu, Q., & Li, W. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-02006-9 · Cited by 16
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Zhang, S., She, S., Qiu, Y., Li, Z., Wu, X., Hu, H., Zheng, W., Huang, R., & Wu, H. (2023) · NeuroImage Clinical · doi:10.1016/j.nicl.2023.103468 · Cited by 16
Lisiecka, D. M., O’Hanlon, E., Fagan, A. J., Carballedo, A., Morris, D. W., Suckling, J., & Frodl, T. (2015) · Journal of Affective Disorders · doi:10.1016/j.jad.2015.06.002 · Cited by 18
Zhao, L., Yang, X., Cui, L., Wei, J., Ni, P., Li, M., Wang, Y., He, Y., Li, X., Liang, S., et al. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2018.10.363 · Cited by 16
Lee, S., Pyun, S., Choi, K. W., & Tae, W. (2020) · Psychiatry Investigation · doi:10.30773/pi.2020.0157 · Cited by 16
Lai, C. (2014) · Journal of Neuropsychiatry · doi:10.1176/appi.neuropsych.12090230 · Cited by 16
Uhlmann, A., Bandelow, B., Stein, D. J., Bloch, S., Engel, K. R., Havemann‐Reinecke, U., & Wedekind, D. (2018) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-018-0870-x · Cited by 16
Nogueira, M. H., Pimentel‐Silva, L. R., Moreira, J. C. V., de Rezende, T. J. R., Zanao, T. A., de Campos, B. M., Yasuda, C. L., & Cendes, F. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2019.01398 · Cited by 15
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Han, K., Kim, D., Sim, Y., Kang, J. C., Kim, A., Won, E., Tae, W., & Ham, B. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.08.066 · Cited by 15
Matsuo, J., Ota, M., Hidese, S., Teraishi, T., Hori, H., Ishida, I., Hiraishi, M., & Kunugi, H. (2018) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2018.00123 · Cited by 15
Bonnekoh, L. M., Seidenbecher, S., Knigge, K., Hünecke, A.-K., Metzger, C. D., Tempelmann, C., Kanowski, M., Kaufmann, J., Meyer-Lotz, G., Schlaaff, K., et al. (2022) · The World Journal of Biological Psychiatry · doi:10.1080/15622975.2022.2058084 · Cited by 15
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Wang, Y., Chen, G., Zhong, S., Jia, Y., Liu, X., Lai, S., Zhao, L., Huang, L., & Liu, T. (2018) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2018.08.025 · Cited by 15
Bykhovski, O., Harrisberger, F., Schmidt, A., Smieskova, R., Hauke, D. J., Egloff, L., Riecher‐Rössler, A., Fusar‐Poli, P., Huber, C. G., Lang, U. E., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-44903-y · Cited by 15
Urbanská, N., Šimko, P., Leškaničová, A., Karasová, M., Jendželovská, Z., Jendželovský, R., Ručová, D., Kolesárová, M., Goga, M., Bačkor, M., et al. (2022) · Life · doi:10.3390/life12111850 · Cited by 15
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Jenkins, L. M., Chiang, J. J., Vause, K. J., Hoffer, L. C., Alpert, K. I., Parrish, T. B., Miller, G. E., & Wang, L. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102187 · Cited by 14
Sheng, W., Cui, Q., Jiang, K., Chen, Y., Tang, Q., Wang, C., Fan, Y., Guo, J., Lu, F., He, Z., et al. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac015 · Cited by 14
Niida, A., Niida, Matsuda, H., Inada, Uechi, & Motomura (2012) · International Journal of General Medicine · doi:10.2147/ijgm.s34093 · Cited by 14
Hannoun, S., Tutunji, R., Homsi, M. E., Saaybi, S. R., & Hourani, R. G. (2018) · Neuroinformatics · doi:10.1007/s12021-018-9408-7 · Cited by 14
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Imaging genetics: implications for research on variable antidepressant drug response
Rabl, U., Scharinger, C., Müller, M., & Pezawas, L. (2010) · Expert Review of Clinical Pharmacology · doi:10.1586/ecp.10.35 · Cited by 15
Hoogenboom, W. S., Perlis, R. H., Smoller, J. W., Zeng-Treitler, Q., Gainer, V. S., Murphy, S. N., Churchill, S. E., Kohane, I. S., Shenton, M. E., & Iosifescu, D. V. (2013) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2012.07.007 · Cited by 13
Zwiky, E., Borgers, T., Klug, M., König, P., Schöniger, K., Selle, J., Küttner, A., Brunner, L., Leehr, E. J., Dannlowski, U., et al. (2025) · Translational Psychiatry · doi:10.1038/s41398-025-03545-7 · Cited by 15
Cai, J., Li, Y., Liu, X., Zheng, Y., Zhong, D., Xue, C., Zhang, J., Zheng, Z., Jin, R., & Li, J. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.12.045 · Cited by 16
Guan, J., Sun, Y., Fan, Y., Liang, J., Liu, C., Yu, H., & Liu, J. (2024) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2024.1406670 · Cited by 18
Chen, Y., Li, H.-T., Luo, X., Li, G., Ide, J. S., & Li, C. R. (2025) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.240087 · Cited by 12
Weddell, R. A., & Wood, R. L. (2016) · Brain Injury · doi:10.1080/02699052.2016.1195921 · Cited by 13
Nashed, M. G., Linher‐Melville, K., Frey, B. N., & Singh, G. (2016) · Genes Brain & Behavior · doi:10.1111/gbb.12323 · Cited by 13
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Chu, S.-H., Parhi, K. K., Schreiner, M. W., Lenglet, C., Mueller, B. A., Klimes‐Dougan, B., & Cullen, K. R. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10194322 · Cited by 13
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Wu, J., Tang, J., Huang, D., Wang, Y., Zhou, E., Ru, Q., Xu, G., Chen, L., & Wu, Y. (2025) · Behavioural Brain Research · doi:10.1016/j.bbr.2025.115538 · Cited by 12
Avnioğlu, S., Velioğlu, H. A., Çankaya, Ş., & Yuluğ, B. (2021) · Neuroreport · doi:10.1097/wnr.0000000000001682 · Cited by 12
van de Weijer, M. P., Vermeulen, J. M., Schrantee, A., Munafo, M. R., Verweij, K. J. H., & Treur, J. L. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105497 · Cited by 13
Hao, W., Dai, X., Wei, M., Li, S., Mao, P., Xue, Q., Lin, H., Wang, H., Song, P., & Wang, Y. (2024) · Photodermatology Photoimmunology & Photomedicine · doi:10.1111/phpp.12957 · Cited by 12
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Bon, G. M., Kraft, D., Comasco, E., Derntl, B., & Kaufmann, T. (2024) · Biology of Sex Differences · doi:10.1186/s13293-024-00615-1 · Cited by 12
Cauwenberge, M. G. A. V., Bouckaert, F., Vansteelandt, K., Adamson, C. L., Winter, F. D., Sienaert, P. A., den Stock, J. V., Dols, A., Rhebergen, D., Stek, M. L., et al. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01314-w · Cited by 12
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Kessler, H., Traue, H. C., & Wiswede, D. (2011) · Europe PMC (PubMed Central) · doi:10.3205/psm000075 · Cited by 12
Lee, B. G., Bennett, L. L., Bernick, C. B., Shan, G., & Banks, S. J. (2019) · Journal of Head Trauma Rehabilitation · doi:10.1097/htr.0000000000000495 · Cited by 12
Rahman, S. S., Mulvihill, K. G., Wood, C. M., Quah, S. K. L., Horst, N. K., Clarke, H. F., Cockcroft, G. J., Santangelo, A. M., & Roberts, A. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab121 · Cited by 11
Niida, Niida, A., & Motomura, M. (2011) · International Journal of General Medicine · doi:10.2147/ijgm.s19739 · Cited by 12
Volumetric and morphometric MRI findings in patients with mild traumatic brain injury
Hellstrøm, T., Westlye, L., Server, A., Løvstad, M., Brunborg, C., Lund, M. J., Nordhøy, W., Andreassen, O., & Andelic, N. (2016) · Brain Injury · doi:10.1080/02699052.2016.1199905 · Cited by 12
Yrondi, A., Fiori, L. M., Nogovitsyn, N., Hassel, S., Théroux, J., Aouabed, Z., Frey, B. N., Lam, R. W. M., Milev, R. V., Müller, D. J., et al. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01592-4 · Cited by 13
Wu, Y., Kong, L., Yang, A., Xin, K., Lu, Y., Yan, X., Liu, W., Zhu, Y., Guo, Y., Jiang, X., et al. (2023) · NeuroImage Clinical · doi:10.1016/j.nicl.2023.103341 · Cited by 11
Cichocki, A. C., Zinbarg, R. E., Craske, M. G., Chat, I. K.-Y., Young, K. S., Bookheimer, S. Y., & Nusslock, R. (2024) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2024.111791 · Cited by 11
Martinez, B., & Peplow, P. V. (2024) · NeuroMarkers. · doi:10.1016/j.neumar.2024.100001 · Cited by 12
Yang, S., Kong, X.-Y., Zhang, X., Zhang, Y., Li, X., & Ge, Y.-J. (2024) · Sleep Medicine · doi:10.1016/j.sleep.2024.11.030 · Cited by 11
Lifetime depression, sleep disruption and brain structure in the UK Biobank cohort
Lyall, L. M., Stolicyn, A., Lyall, D. M., Zhu, X., Sangha, N., Ward, J., Strawbridge, R. J., Cullen, B., & Smıth, D. J. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.12.069 · Cited by 11
Meng, Q., Zhang, A., Cao, X., Sun, N., Li, X., Zhang, Y., & Wang, Y. (2020) · Psychiatry Investigation · doi:10.30773/pi.2020.0041 · Cited by 11
Ma, M., Zhang, X., Zhang, Y., Su, Y., Yan, H., Tan, H. Y., Zhang, D., & Yue, W. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.671574 · Cited by 12
Jung, J., Cho, S., Kim, N., Kang, C., & Kang, S. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.925823 · Cited by 10
Dazzi, L., Matzeu, A., & Biggio, G. (2011) · Brain Research · doi:10.1016/j.brainres.2011.02.065 · Cited by 11
Quantitative electroencephalographic biomarkers behind major depressive disorder
Knocikova, J. A., & Petrásek, T. (2021) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2021.102596 · Cited by 11
Unimpaired social cognition in adult patients with ADHD: brain volumetric and behavioral results
Mehren, A., Thiel, C. M., Bruns, S., Philipsen, A., & Özyurt, J. (2021) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsab060 · Cited by 15
Bernasconi, R., Smieskova, R., Schmidt, A., Harrisberger, F., Raschle, N. M., Lenz, C., Walter, A., Simon, A. E., Riecher‐Rössler, A., Radue, E. W., et al. (2015) · NeuroImage Clinical · doi:10.1016/j.nicl.2015.04.016 · Cited by 11
Comorbid and Secondary Depression
Andover, M. S., Izzo, G. N., & Kelly, C. A. (2011) · Springer eBooks · doi:10.1007/978-1-4419-7784-7_10 · Cited by 13
Matsuo, J., Ota, M., Hidese, S., Hori, H., Teraishi, T., Ishida, I., Hiraishi, M., & Kunugi, H. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.01.012 · Cited by 12
Knight, L. K., Naaz, F., Stoica, T., & Depue, B. E. (2017) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2017.07.003 · Cited by 12
Clinical and biological subtypes of late-life depression
Kwak, S., Kim, H., Oh, D. J., Jeon, Y.-J., Oh, D. Y., Park, S. M., & Lee, J. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.06.005 · Cited by 10
Aghamohammadi‐Sereshki, A., McMorris, C. A., Gibbard, W. B., Tortorelli, C., Pike, G. B., & Lebel, C. A. (2022) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.210198 · Cited by 10
Niida, A., Niida, R., Matsuda, H., Motomura, M., & Uechi, A. (2014) · International Journal of General Medicine · doi:10.2147/ijgm.s72736 · Cited by 10
Chronic Social Stress and Ethanol Increase Expression of KLF11, a Cell Death Mediator, in Rat Brain
Duncan, J. W., Wang, N., Zhang, X., Johnson, S., Harris, S., Zheng, B., Zhang, Q., Rajkowska, G., Miguel-Hidalgo, J. J., Sittman, D. B., et al. (2015) · Neurotoxicity Research · doi:10.1007/s12640-015-9524-1 · Cited by 10
Hua, J. P. Y., Trull, T. J., Merrill, A. M., Myers, O. T. T., Straub, K. T., & Kerns, J. G. (2020) · Cognitive Therapy and Research · doi:10.1007/s10608-020-10155-8 · Cited by 8
Yang, T., Lam, R. W. M., Huang, J., Su, Y., Liu, J., Yang, X., Yang, L., Zhu, N., Zhao, G., Mao, R., et al. (2021) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s287351 · Cited by 10
Metadata
- Authors
- Koolschijn, P. C. M. P., van Haren, N. E. M., Lensvelt‐Mulders, G. J. L. M., Hulshoff Pol, H. E., & Kahn, R. S.
- Affiliations
- University Medical Center Utrecht (NL)
- Utrecht University (NL)
- Venue
- Human Brain Mapping
- Publisher
- Wiley
- Published
- 2009-05-13
- Volume
- 30
- Issue
- 11
- Pages
- 3719-3735
- ISSN
- 1065-9471 (ISSN-L)
- 1097-0193
- PMC
- PMC6871089
- OpenAlex
- W1990168531
- Cited by
- 902
- References
- 209
- Citations by year
- 2026: 34 · 2025: 34 · 2024: 44 · 2023: 46 · 2022: 47 · 2021: 74 · 2020: 52 · 2019: 71 · 2018: 47 · 2017: 59 · 2016: 53 · 2015: 63 · 2014: 66 · 2013: 55 · 2012: 57
- FWCI
- 5.37
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Human Brain Mapping (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Topics
- Health Sciences › Medicine › Pharmacology (medical) › Treatment of Major Depression
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- major depressive disorder, brain volume, structural brain abnormalities, frontal lobe, anterior cingulate cortex, orbitofrontal cortex, prefrontal cortex, hippocampus, putamen, caudate nucleus, emotional processing, stress regulation
- MeSH terms
- Brain, Brain Mapping, Major Depressive Disorder, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Databases, Bibliographic
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