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Preliminary Comparison of Subcortical Structures in Elderly Subclinical Depression: Structural Analysis with 3T MRIPreliminary Comparison of Subcortical Structures in Elderly Subclinical Depression: Structural Analysis with 3T MRI

Other Titles
Preliminary Comparison of Subcortical Structures in Elderly Subclinical Depression: Structural Analysis with 3T MRI
Authors
임상진이정환Siekyeong Kim
Issue Date
Apr-2021
Publisher
KOREAN SOC BRAIN & NEURAL SCIENCE
Keywords
Subclinical depression; Brain; Basal ganglia; Volumetric; Diffusion tensor imaging; Tractography
Citation
EXPERIMENTAL NEUROBIOLOGY, v.30, no.2, pp.183 - 202
Journal Title
EXPERIMENTAL NEUROBIOLOGY
Volume
30
Number
2
Start Page
183
End Page
202
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/81445
DOI
10.5607/en20056
ISSN
1226-2560
Abstract
Depression in the elderly population has shown increased likelihood of neurological disorders due to structural changes in the subcortical area. However, further investigation into depression related subcortical changes is needed due to mismatches in structural analysis results between stud ies as well as scarcities in research regarding subcortical connectivity patterns of subclinical depression populations. This study aims to investigate structural differences in subcortical regions of aged participants with subclinical depression using 3Tesla MRI. In structural analysis, volumes of each subcortical region were measured to observe the volumetric difference and asymmetry between groups, but no significant difference was found. In addition, fractional anisotropy (FA) and apparent diffusion coefficient (ADC) did not show any significant differences between groups. Structural analysis using probabilistic tractography indicated that the connection strength between left nucleus accumbens-right hippocampus, and right thalamus-right caudate was higher in the control group than the subclinical depression group. The differences in subcortical connection strength of subclinical depression groups, have shown to correlate with emotional and cognitive disorders, such as anxiety and memory impair ment. We believe that the analysis of structural differences and cross-regional network measures in subcortical structures can help identify neuro physiological changes occurring in subclinical depression.
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