Gene expression associated with individual variability in intrinsic functional connectivity

• Published in: NeuroImage (Orlando, Fla.) Vol. 245; p. 118743
• Main Authors: Li, Liangfang, Wei, Yongbin, Zhang, Jinbo, Ma, Junji, Yi, Yangyang, Gu, Yue, Li, Liman Man Wai, Lin, Ying, Dai, Zhengjia
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 15.12.2021; Elsevier Limited; Elsevier
• Subjects: Adults; Blood flow; Brain; Brain mapping; Central nervous system; Cerebral blood flow; Cerebrovascular Circulation; Cognitive ability; Connectome; DNA microarrays; Functional connectivity; Functional magnetic resonance imaging; Gene expression; Gene Expression Profiling; Genomes; Humans; Image Processing, Computer-Assisted; Intersubject variability; Magnetic Resonance Imaging; Metabolism; Neural networks; Neurogenesis; Neuroimaging; Regions; Resting-state fMRI; Spatial distribution; Time series; Transcription; Twins; Functional connectivity; Resting-state fMRI; Gene expression; Metabolism; Intersubject variability
• ISSN: 1053-8119; 1095-9572
• DOI: 10.1016/j.neuroimage.2021.118743

It has been revealed that intersubject variability (ISV) in intrinsic functional connectivity (FC) is associated with a wide variety of cognitive and behavioral performances. However, the underlying organizational principle of ISV in FC and its related gene transcriptional profiles remain unclear. Using resting-state fMRI data from the Human Connectome Project (299 adult participants) and microarray gene expression data from the Allen Human Brain Atlas, we conducted a transcription-neuroimaging association study to investigate the spatial configurations of ISV in intrinsic FC and their associations with spatial gene transcriptional profiles. We found that the multimodal association cortices showed the greatest ISV in FC, while the unimodal cortices and subcortical areas showed the least ISV. Importantly, partial least squares regression analysis revealed that the transcriptional profiles of genes associated with human accelerated regions (HARs) could explain 31.29% of the variation in the spatial distribution of ISV in FC. The top-related genes in the transcriptional profiles were enriched for the development of the central nervous system, neurogenesis and the cellular components of synapse. Moreover, we observed that the effect of gene expression profile on the heterogeneous distribution of ISV in FC was significantly mediated by the cerebral blood flow configuration. These findings highlighted the spatial arrangement of ISV in FC and their coupling with variations in transcriptional profiles and cerebral blood flow supply.