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Volumetric alterations in subregions of the amygdala in adults with major depressive disorder

Authors
Kim, HyeyoungHan, Kyu-ManChoi, Kwan WooTae, Woo-SukKang, WooyoungKang, YoubinKim, AramHam, Byung-Joo
Issue Date
1-Dec-2021
Publisher
ELSEVIER
Keywords
Major depressive disorder; Amygdala; Magnetic resonance imaging; Subregion morphology
Citation
JOURNAL OF AFFECTIVE DISORDERS, v.295, pp.108 - 115
Indexed
SCIE
SSCI
SCOPUS
Journal Title
JOURNAL OF AFFECTIVE DISORDERS
Volume
295
Start Page
108
End Page
115
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/135485
DOI
10.1016/j.jad.2021.08.012
ISSN
0165-0327
Abstract
Background: Although major depressive disorder (MDD) has been associated with volumetric abnormalities in the amygdala, studies investigating the association between structural alterations of the amygdala and depression have yielded varying results. Since the amygdala comprises several subregions, it is difficult to detect subtle regional changes by measuring the total amygdala volume. This study aimed to examine the volume in each amygdala subregion in adults with and without a diagnosis of MDD. Methods: A total of 147 participants with a current history of major depression and 144 healthy participants ranging in age from 19 to 64 years underwent 3T magnetic resonance imaging scanning. Automatic segmentation of the nine nuclei of the amygdala was performed using FreeSurfer. One-way analysis of covariance, with individual volumes as dependent variables, and age, sex, and total intracranial volume as covariates, was performed to analyze volume differences. Results: Patients with MDD had significantly lower volumes of the entire amygdala and subregions, including the lateral nucleus and anterior amygdaloid area, than healthy volunteers (HCs). There were no significant associations between subregion volumes and antidepressant use, illness duration, or depression severity. Limitations: Our cross-sectional design cannot provide a causal relationship between the volume change in the amygdala subregion and the risk of MDD. Conclusion: Our findings suggest that specific amygdala subregions are more susceptible to volumetric alterations in patients with MDD than in HCs. These findings may advance our understanding of the neuroanatomic basis on MDD.
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