Open AccessCover Image
Author(s) -
Zhu Dan,
Yuan Tengfei,
Gao Junfeng,
Xu Qiang,
Xue Kaizhong,
Zhu Wenshuang,
Tang Jie,
Liu Feng,
Wang Junping,
Yu Chunshui
Publication year - 2021
Publication title -
human brain mapping
Language(s) - English
Resource type - Reports
SCImago Journal Rank - 2.005
H-Index - 191
eISSN - 1097-0193
pISSN - 1065-9471
DOI - 10.1002/hbm.25060
Subject(s) - centrality , neuroscience , neuroimaging , functional connectivity , cover (algebra) , set (abstract data type) , transcriptome , functional neuroimaging , biology , computational biology , psychology , computer science , gene , gene expression , genetics , mechanical engineering , mathematics , combinatorics , engineering , programming language
COVER ILLUSTRATION The molecular mechanisms associated with functional network centrality of human brain are still largely unknown. Zhu et al. calculated functional connectivity strength (FCS), also known as the “degree centrality” of weighted network to measure functional network centrality and performed a comprehensive transcriptome‐neuroimaging association to explore the molecular correlates of FCS. Expression profiles of a set of genes, especially those involved in processes related to ion channels, the axon guidance pathway, and synaptic transmission, are related to FCS.