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Elucidating genetic and molecular basis of altered higher-order brain structure-function coupling in major depressive disorder.
Long, Haixia; Chen, Zihao; Xu, Xinli; Zhou, Qianwei; Fang, Zhaolin; Lv, Mingqi; Yang, Xu-Hua; Xiao, Jie; Sun, Hui; Fan, Ming.
Afiliação
  • Long H; College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China.
  • Chen Z; College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China.
  • Xu X; College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China.
  • Zhou Q; College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China.
  • Fang Z; Network Information Center, Zhejiang University of Technology, Hangzhou 310023, China.
  • Lv M; College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China.
  • Yang XH; College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China.
  • Xiao J; College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China.
  • Sun H; College of Electrical Engineering, Sichuan University, Chengdu 610065, China. Electronic address: Sunhui_haley@163.com.
  • Fan M; Institute of Biomedical Engineering and Instrumentation, Hangzhou Dianzi University, Hangzhou 310018, China. Electronic address: ming.fan@hdu.edu.cn.
Neuroimage ; 297: 120722, 2024 Aug 15.
Article em En | MEDLINE | ID: mdl-38971483
ABSTRACT
Previous studies have shown that major depressive disorder (MDD) patients exhibit structural and functional impairments, but few studies have investigated changes in higher-order coupling between structure and function. Here, we systematically investigated the effect of MDD on higher-order coupling between structural connectivity (SC) and functional connectivity (FC). Each brain region was mapped into embedding vector by the node2vec algorithm. We used support vector machine (SVM) with the brain region embedding vector to distinguish MDD patients from health controls (HCs) and identify the most discriminative brain regions. Our study revealed that MDD patients had decreased higher-order coupling in connections between the most discriminative brain regions and local connections in rich-club organization and increased higher-order coupling in connections between the ventral attentional network and limbic network compared with HCs. Interestingly, transcriptome-neuroimaging association analysis demonstrated the correlations between regional rSC-FC coupling variations between MDD patients and HCs and α/ß-hydrolase domain-containing 6 (ABHD6), ß 1,3-N-acetylglucosaminyltransferase-9(ß3GNT9), transmembrane protein 45B (TMEM45B), the correlation between regional dSC-FC coupling variations and retinoic acid early transcript 1E antisense RNA 1(RAET1E-AS1), and the correlations between regional iSC-FC coupling variations and ABHD6, ß3GNT9, katanin-like 2 protein (KATNAL2). In addition, correlation analysis with neurotransmitter receptor/transporter maps found that the rSC-FC and iSC-FC coupling variations were both correlated with neuroendocrine transporter (NET) expression, and the dSC-FC coupling variations were correlated with metabotropic glutamate receptor 5 (mGluR5). Further mediation analysis explored the relationship between genes, neurotransmitter receptor/transporter and MDD related higher-order coupling variations. These findings indicate that specific genetic and molecular factors underpin the observed disparities in higher-order SC-FC coupling between MDD patients and HCs. Our study confirmed that higher-order coupling between SC and FC plays an important role in diagnosing MDD. The identification of new biological evidence for MDD etiology holds promise for the development of innovative antidepressant therapies.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encéfalo / Transtorno Depressivo Maior Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encéfalo / Transtorno Depressivo Maior Idioma: En Ano de publicação: 2024 Tipo de documento: Article