Structural covariance networks are coupled to expression of genes enriched in supragranular layers of the human cortex.

ABSTRACT: Complex network topology is characteristic of many biological systems, including anatomical and functional brain networks (connectomes). Here, we first constructed a structural covariance network from MRI measures of cortical thickness on 296 healthy volunteers, aged 14-24 years. Next, we designed a new algorithm for matching sample locations from the Allen Brain Atlas to the nodes of the SCN. Subsequently we used this to define, transcriptomic brain networks by estimating gene co-expression between pairs of cortical regions. Finally, we explored the hypothesis that transcriptional networks and structural MRI connectomes are coupled. A transcriptional brain network (TBN) and a structural covariance network (SCN) were correlated across connection weights and showed qualitatively similar com

SUBMITTER: Romero-Garcia R 

PROVIDER: S-EPMC5883331 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature