Identifying age-specific gene signatures of the human cerebral cortex with joint analysis of transcriptomes and functional connectomes

Abstract The human cerebral cortex undergoes profound structural and functional dynamic variations across the lifespan, whereas the underlying molecular mechanisms remain unclear. Here, with a novel method transcriptome-connectome correlation analysis (TCA), which integrates the brain functional mag...

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Bibliographic Details
Published in:Briefings in bioinformatics 2021-07, Vol.22 (4)
Main Authors: Zhao, Xingzhong, Chen, Jingqi, Xiao, Peipei, Feng, Jianfeng, Nie, Qing, Zhao, Xing-Ming
Format: Article
Language:English
Subjects:
Age
Brain
Cerebral cortex
Correlation analysis
Life span
Magnetic resonance imaging
Mental disorders
Molecular modelling
Myelination
Neuroimaging
Schizophrenia
Scripts
Signatures
Statistical analysis
Structure-function relationships
Transcriptomes
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Summary:Abstract The human cerebral cortex undergoes profound structural and functional dynamic variations across the lifespan, whereas the underlying molecular mechanisms remain unclear. Here, with a novel method transcriptome-connectome correlation analysis (TCA), which integrates the brain functional magnetic resonance images and region-specific transcriptomes, we identify age-specific cortex (ASC) gene signatures for adolescence, early adulthood and late adulthood. The ASC gene signatures are significantly correlated with the cortical thickness (P-value
ISSN:1467-5463
1477-4054
DOI:10.1093/bib/bbaa388