Amygdala volume in major depressive disorder: a meta-analysis of magnetic resonance imaging studies

被引:362
|
作者
Hamilton, J. P. [1 ]
Siemer, M. [2 ]
Gotlib, I. H. [1 ]
机构
[1] Stanford Univ, Dept Psychol, Stanford, CA 94305 USA
[2] Univ Miami, Dept Psychol, Coral Gables, FL 33124 USA
关键词
major depressive disorder; antidepressant; neurogenesis; glucocorticoid; neurotoxicity; SSRI;
D O I
10.1038/mp.2008.57
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Major depressive disorder has been associated with volumetric abnormality in the amygdala. In this meta-analysis we examine results from magnetic resonance imaging volumetry studies of the amygdala in depression in order to assess both the nature of the relationship between depression and amygdala volume as well as the influence of extraexperimental factors that may account for significant variability in reported findings. We searched PubMed and ISI Web of Knowledge databases for articles published from 1985 to 2008 that used the wildcard terms 'Depress*' and 'Amygdal*' in the title, keywords or abstract. From the 13 studies that met inclusion criteria for our meta-analysis, we calculated aggregate effect size and heterogeneity estimates from amygdala volumetric data; we then used meta-regression to determine whether variability in specific extraexperimental factors accounted for variability in findings. The lack of a reliable difference in amygdala volume between depressed and never-depressed individuals was accounted for by a positive correlation between amygdala volume differences and the proportion of medicated depressed persons in study samples: whereas the aggregate effect size calculated from studies that included only medicated individuals indicated that amygdala volume was significantly increased in depressed relative to healthy persons, studies with only unmedicated depressed individuals showed a reliable decrease in amygdala volume in depression. These findings are consistent with a formulation in which an antidepressant-mediated increase in levels of brain-derived neurotrophic factor promotes neurogenesis and protects against glucocorticoid toxicity in the amygdala in medicated but not in unmedicated depression.
引用
收藏
页码:993 / 1000
页数:8
相关论文
共 50 条
  • [31] Review of 1H magnetic resonance spectroscopy findings in major depressive disorder:: A meta-analysis
    Yildiz-Yesiloglu, Aysegul
    Ankerst, Donna Pauler
    [J]. PSYCHIATRY RESEARCH-NEUROIMAGING, 2006, 147 (01) : 1 - 25
  • [32] Gray matter volume in major depressive disorder: A meta-analysis of voxel-based morphometry studies
    Lai, Chien-Han
    [J]. PSYCHIATRY RESEARCH-NEUROIMAGING, 2013, 211 (01) : 37 - 46
  • [33] A Meta-Analysis of Functional Neuroimaging Studies of Major Depressive Disorder in Youth
    Zamora, Gladys
    Baten, Caitlin
    Klassen, Amanda M.
    Shepherd, Jonah H.
    Pritchard, Elizabeth
    Saravia, Sarah
    Ali, Zulaikha
    Jordan, Jillian
    Kahlon, Saneh K.
    Maly, Grace
    Duran, Marisol
    Santos, Shay
    Kaur, Anmol
    Saini, Aran
    Nimarko, Akua F.
    Hedges, Dawson W.
    Hamilton, Paul
    Gotlib, Ian H.
    Sacchet, Matthew D.
    Miller, Chris H.
    [J]. BIOLOGICAL PSYCHIATRY, 2023, 93 (09) : S280 - S280
  • [34] Magnetic resonance imaging (MRI) measurement of hippocampal volume in posttraumatic stress disorder: A meta-analysis
    Kitayama, N
    Vaccarino, V
    Kutner, M
    Weiss, P
    Bremner, JD
    [J]. JOURNAL OF AFFECTIVE DISORDERS, 2005, 88 (01) : 79 - 86
  • [35] Amygdala volume for bipolar affective disorder - a meta-analysis
    Scherk, Harald
    Usher, J.
    Leucht, S.
    [J]. NERVENARZT, 2007, 78 : 343 - 343
  • [36] Grey Matter Volume Reductions of the Left Hippocampus and Amygdala in PTSD: A Coordinate-Based Meta-Analysis of Magnetic Resonance Imaging Studies
    Del Casale, Antonio
    Ferracuti, Stefano
    Barbetti, Andrea Steven
    Bargagna, Paride
    Zega, Paolo
    Iannuccelli, Alessia
    Caggese, Federico
    Zoppi, Teodolinda
    De Luca, Gabriele Pasquale
    Parmigiani, Giovanna
    Berardelli, Isabella
    Pompili, Maurizio
    [J]. NEUROPSYCHOBIOLOGY, 2022, 81 (04) : 257 - 264
  • [37] Structural Neuroimaging Studies in Major Depressive Disorder Meta-analysis and Comparison With Bipolar Disorder
    Kempton, Matthew J.
    Salvador, Zainab
    Munafo, Marcus R.
    Geddes, John R.
    Simmons, Andrew
    Frangou, Sophia
    Williams, Steven C. R.
    [J]. ARCHIVES OF GENERAL PSYCHIATRY, 2011, 68 (07) : 675 - 690
  • [38] The human amygdala: a systematic review and meta-analysis of volumetric magnetic resonance imaging
    Brierley, B
    Shaw, P
    David, AS
    [J]. BRAIN RESEARCH REVIEWS, 2002, 39 (01) : 84 - 105
  • [39] Habenula Volume in Bipolar Disorder and Major Depressive Disorder: A High-Resolution Magnetic Resonance Imaging Study
    Savitz, Jonathan B.
    Nugent, Allison C.
    Bogers, Wendy
    Roiser, Jonathan P.
    Bain, Earle E.
    Neumeister, Alexander
    Zarate, Carlos A., Jr.
    Manji, Husseini K.
    Cannon, Dara M.
    Marrett, Sean
    Henn, Fritz
    Charney, Dennis S.
    Drevets, Wayne C.
    [J]. BIOLOGICAL PSYCHIATRY, 2011, 69 (04) : 336 - 343
  • [40] High-field magnetic resonance imaging studies of major depressive disorder: a circuit-based analysis
    Gong, Qiyong
    [J]. INTERNATIONAL JOURNAL OF NEUROPSYCHOPHARMACOLOGY, 2016, 19 : 2 - 3