Literature DB >> 15056502

Lower hippocampal volume in patients suffering from depression: a meta-analysis.

Stephanie Campbell1, Michael Marriott, Claude Nahmias, Glenda M MacQueen.   

Abstract

OBJECTIVE: A number of studies have used magnetic resonance imaging to examine volumetric differences in temporal structures in subjects suffering from major depressive disorder. Studies have reported lower hippocampal and amygdala volume, but results have been inconsistent. The authors were interested, therefore, in examining these studies in the aggregate in order to determine whether hippocampal volume is lower in major depressive disorder. They also examined factors that may contribute to the disparate results in the literature.
METHOD: A meta-analysis was conducted of studies that used magnetic resonance imaging to assess the volume of the hippocampus and related structures in patients with major depressive disorder.
RESULTS: Patients were seen to have lower hippocampal volume relative to comparison subjects, detectable if the hippocampus was measured as a discrete structure.
CONCLUSIONS: Although the effect of major depressive disorder on amygdala volume remains to be conclusively established, inclusion of the amygdala with the hippocampus appears to have decreased the likelihood of detecting volumetric differences in either structure. Slice thickness or other scan parameters did not account for a substantive amount of the variance in results, whereas clinical variables of the populations studied, such as duration of illness or presence of abuse, may account for much of the discrepancy between findings.

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Year:  2004        PMID: 15056502     DOI: 10.1176/appi.ajp.161.4.598

Source DB:  PubMed          Journal:  Am J Psychiatry        ISSN: 0002-953X            Impact factor:   18.112


  334 in total

1.  Photoperiod is associated with hippocampal volume in a large community sample.

Authors:  Megan A Miller; Regina L Leckie; Shannon D Donofry; Peter J Gianaros; Kirk I Erickson; Stephen B Manuck; Kathryn A Roecklein
Journal:  Hippocampus       Date:  2015-01-20       Impact factor: 3.899

2.  Fibroblast growth factor-2 (FGF2) augmentation early in life alters hippocampal development and rescues the anxiety phenotype in vulnerable animals.

Authors:  Cortney A Turner; Sarah M Clinton; Robert C Thompson; Stanley J Watson; Huda Akil
Journal:  Proc Natl Acad Sci U S A       Date:  2011-04-25       Impact factor: 11.205

3.  Maternal support in early childhood predicts larger hippocampal volumes at school age.

Authors:  Joan L Luby; Deanna M Barch; Andy Belden; Michael S Gaffrey; Rebecca Tillman; Casey Babb; Tomoyuki Nishino; Hideo Suzuki; Kelly N Botteron
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-30       Impact factor: 11.205

Review 4.  Neurobiology of chronic mild stress: parallels to major depression.

Authors:  Matthew N Hill; Kim G C Hellemans; Pamela Verma; Boris B Gorzalka; Joanne Weinberg
Journal:  Neurosci Biobehav Rev       Date:  2012-07-07       Impact factor: 8.989

5.  Regional gray matter volume mediates the relationship between family socioeconomic status and depression-related trait in a young healthy sample.

Authors:  Junyi Yang; Huijuan Liu; Dongtao Wei; Wei Liu; Jie Meng; Kangcheng Wang; Lei Hao; Jiang Qiu
Journal:  Cogn Affect Behav Neurosci       Date:  2016-02       Impact factor: 3.282

6.  Genetic and Stress-Induced Loss of NG2 Glia Triggers Emergence of Depressive-like Behaviors through Reduced Secretion of FGF2.

Authors:  Fikri Birey; Michelle Kloc; Manideep Chavali; Israa Hussein; Michael Wilson; Daniel J Christoffel; Tony Chen; Michael A Frohman; John K Robinson; Scott J Russo; Arianna Maffei; Adan Aguirre
Journal:  Neuron       Date:  2015-11-20       Impact factor: 17.173

7.  Pterostilbene, an active component of the dragon's blood extract, acts as an antidepressant in adult rats.

Authors:  Liang Yang; Yuanyuan Ran; Zhenzhen Quan; Ran Wang; Qinghu Yang; Qiutian Jia; Heao Zhang; Yanhui Li; Yiheng Peng; JianHua Liang; Hui Wang; Hiroshi Nakanishi; Yulin Deng; Hong Qing
Journal:  Psychopharmacology (Berl)       Date:  2019-01-04       Impact factor: 4.530

8.  Antidepressants normalize the default mode network in patients with dysthymia.

Authors:  Jonathan Posner; David J Hellerstein; Inbal Gat; Anna Mechling; Kristin Klahr; Zhishun Wang; Patrick J McGrath; Jonathan W Stewart; Bradley S Peterson
Journal:  JAMA Psychiatry       Date:  2013-04       Impact factor: 21.596

9.  Neuroanatomical correlates of depression in Friedreich's ataxia: a voxel-based morphometry study.

Authors:  Cynthia B da Silva; Clarissa L Yasuda; Anelyssa D'Abreu; Fernando Cendes; Iscia Lopes-Cendes; Marcondes C França
Journal:  Cerebellum       Date:  2013-06       Impact factor: 3.847

Review 10.  HCN Channel Targets for Novel Antidepressant Treatment.

Authors:  Stacy M Ku; Ming-Hu Han
Journal:  Neurotherapeutics       Date:  2017-07       Impact factor: 7.620

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