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Multiple cortical thickness sub-networks and cognitive impairments in first episode, drug naive patients with late life depression: A graph theory analysis

Authors
Shin, Jeong-HyeonUm, Yu HyunLee, Chang UkLim, Hyun KookSeong, Joon-Kyung
Issue Date
15-3월-2018
Publisher
ELSEVIER SCIENCE BV
Keywords
Late life depression; Structural network; Graph theory; Cortical thickness; Correlation analysis
Citation
JOURNAL OF AFFECTIVE DISORDERS, v.229, pp.538 - 545
Indexed
SCIE
SSCI
SCOPUS
Journal Title
JOURNAL OF AFFECTIVE DISORDERS
Volume
229
Start Page
538
End Page
545
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/76718
DOI
10.1016/j.jad.2017.12.083
ISSN
0165-0327
Abstract
Background: Coordinated and pattern-wise changes in large scale gray matter structural networks reflect neural circuitry dysfunction in late life depression (LLD), which in turn is associated with emotional dysregulation and cognitive impairments. However, due to methodological limitations, there have been few attempts made to identify individual-level structural network properties or sub-networks that are involved in important brain functions in LLD. Methods: In this study, we sought to construct individual-level gray matter structural networks using average cortical thicknesses of several brain areas to investigate the characteristics of the gray matter structural networks in normal controls and LLD patients. Additionally, we investigated the structural sub-networks correlated with several clinical measurements including cognitive impairment and depression severity. Results: We observed that small worldness, clustering coefficients, global and local efficiency, and hub structures in the brains of LLD patients were significantly different from healthy controls. We further found that a sub-network including the anterior cingulate, dorsolateral prefrontal cortex and superior prefrontal cortex is significantly associated with attention control and executive function. The severity of depression was associated with the sub-networks comprising the salience network, including the anterior cingulate and insula. Limitations: We investigated cortico-cortical connectivity, but omitted the subcortical structures such as the striatum and thalamus. Conclusion: We report differences in patterns between several clinical measurements and sub-networks from large-scale and individual-level cortical thickness networks in LLD.
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