Topography and behavioral relevance of the global signal in the human brain.

ABSTRACT: The global signal in resting-state functional MRI data is considered to be dominated by physiological noise and artifacts, yet a growing literature suggests that it also carries information about widespread neural activity. The biological relevance of the global signal remains poorly understood. Applying principal component analysis to a large neuroimaging dataset, we found that individual variation in global signal topography recapitulates well-established patterns of large-scale functional brain networks. Using canonical correlation analysis, we delineated relationships between individual differences in global signal topography and a battery of phenotypes. The first canonical variate of the global signal, resembling the frontoparietal control network, was significantly related to an axis

SUBMITTER: Li J 

PROVIDER: S-EPMC6776616 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature