Literature DB >> 29159580

Low left amygdala volume is associated with a longer duration of unipolar depression.

Maxim Zavorotnyy1, Rebecca Zöllner2, L R Schulte-Güstenberg3, L Wulff3, S Schöning3, U Dannlowski3, H Kugel4, V Arolt3, C Konrad2,5.   

Abstract

The amygdala plays a crucial role in the pathogenesis of major depressive disorder (MDD). While robust findings support a negative impact of illness duration on hippocampal volume in MDD, morphometric studies of the amygdala have yielded inhomogeneous results. Considering the methodical problems of automatic segmentation methods, a standardized segmentation protocol with proven inter- and intra-rater reliability was employed using high-resolution magnetic resonance imaging. To identify the effect of MDD on amygdala morphometry, 23 unipolar depressed patients who responded to antidepressant medication and 30 age-matched healthy controls (HC) were enrolled. First, gray matter volumes (GMV) of the bilateral amygdala were delineated manually in 3D by three blinded experts using the MultiTracer. The whole brain GMV was determined by using voxel-based morphometry. Second, the differences of the whole brain and the bilateral amygdala GMV values between MDD and HC were calculated with t-statistics. The GMV of the whole brain and the amygdala did not differ between HC and MDD patients. Third, MDD characteristics were correlated with amygdala GMV. Within the normal range, the left amygdala GMV was larger in patients with later onset and smaller in cases of prolonged depression. In line with prior reports of depressed patients responding to antidepressant treatment, amygdala GMV was negatively related to illness duration, suggesting volume loss with disease progression. It remains unclear as to whether the association between illness duration and GMV reduced left amygdala volume indicates a neurotoxic effect of prolonged MDD or is rather a negative predictor of chronic depression.

Entities:  

Keywords:  Amygdala; Magnetic resonance imaging; Major depression; Multitracer; Voxel-based morphometry

Mesh:

Year:  2017        PMID: 29159580     DOI: 10.1007/s00702-017-1811-y

Source DB:  PubMed          Journal:  J Neural Transm (Vienna)        ISSN: 0300-9564            Impact factor:   3.575


  66 in total

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