4.6 Article

Dissect Relationships Between Gene Co-expression and Functional Connectivity in Human Brain

期刊

FRONTIERS IN NEUROSCIENCE
卷 15, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fnins.2021.797849

关键词

functional connectivity; gene co-expression; coupling; network; tensor decomposition algorithm; schizophrenia

资金

  1. National Key Research and Development Program of China [2018YFC1314300]
  2. National Natural Science Foundation of China [82030053, 81425013]
  3. Tianjin Key Technology RD Program [17ZXMFSY00090]

向作者/读者索取更多资源

The study identified 125 connectivity-related genes, including 20 novel genes, enriched for dendrite extension, signaling pathway, and schizophrenia; 51 genes were associated with connectivity in all brain functional networks, while 51 genes showed network-specific modulatory effects, indicating different biological functions are involved in connectivity modulation of different networks.
Although recent evidence indicates an association between gene co-expression and functional connectivity in human brain, specific association patterns remain largely unknown. Here, using neuroimaging-based functional connectivity data of living brains and brain-wide gene expression data of postmortem brains, we performed comprehensive analyses to dissect relationships between gene co-expression and functional connectivity. We identified 125 connectivity-related genes (20 novel genes) enriched for dendrite extension, signaling pathway and schizophrenia, and 179 gene-related functional connections mainly connecting intra-network regions, especially homologous cortical regions. In addition, 51 genes were associated with connectivity in all brain functional networks and enriched for action potential and schizophrenia; in contrast, 51 genes showed network-specific modulatory effects and enriched for ion transportation. These results indicate that functional connectivity is unequally affected by gene expression, and connectivity-related genes with different biological functions are involved in connectivity modulation of different networks.

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