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
- 임상진; 이정환; Siekyeong 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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