4.2 Article

A combined study of GSK3β polymorphisms and brain network topological metrics in major depressive disorder

Journal

PSYCHIATRY RESEARCH-NEUROIMAGING
Volume 223, Issue 3, Pages 210-217

Publisher

ELSEVIER IRELAND LTD
DOI: 10.1016/j.pscychresns.2014.05.010

Keywords

Major depression; Glycogen synthase kinase-3 beta gene; Neuroimaging endophenotype; Brain functional network

Funding

  1. National Natural Science Foundation of China [30770770, 30971054, 81171290]
  2. Foundation for Youths of Shanxi Medical University [02201011]
  3. Hospital Foundation for the First Hospital of Shanxi Medical University [YQ1006]

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GSK3 beta genotypes may interact with major depressive disorder (MDD) and may have a role in determining regional gray matter volume differences from healthy comparison subjects. However, any associations of GSK3 beta genotypes with MDD related to abnormal functional brain activity have yet to be elucidated. In the present study, resting state functional brain networks were constructed by thresholding partial correlation matrices of 90 regions. Differences in the network features of GSK3 beta-rs6438552 genotypes were tested, and a 2 x 2 analysis of variance was performed to identify the main effects of genotypes, disease status, and theft interactions in MDD. Compared with CC carriers, T+ carriers with MDD showed increased nodal centralities in many brain regions mainly the limbic system, thalamus and parts of the parietal, temporal, occipital, and frontal regions. Decreased nodal centralities predominantly occurred in the sensorimotor area and parts of the frontal, occipital, and temporal lobes. Significant interactions between genotypes and disease status were found in the left thalamus, left superior occipital gyrus, and left inferior parietal lobe. Only altered nodal centrality in the left angular gyrus was negatively correlated with scores on the Hamilton Depression Rating Scale. Our results suggest the GSK3 beta genotypic effect of rs6438552 and its interaction with disease status may contribute to the altered topological organization of resting state functional brain networks in MDD patients. (C) 2014 Elsevier Ireland Ltd. All rights reserved.

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