Network complexity as a measure of information processing across resting-state networks: evidence from the Human Connectome Project.

ABSTRACT: An emerging field of research focused on fluctuations in brain signals has provided evidence that the complexity of those signals, as measured by entropy, conveys important information about network dynamics (e.g., local and distributed processing). While much research has focused on how neural complexity differs in populations with different age groups or clinical disorders, substantially less research has focused on the basic understanding of neural complexity in populations with young and healthy brain states. The present study used resting-state fMRI data from the Human Connectome Project (Van Essen et al., 2013) to test the extent that neural complexity in the BOLD signal, as measured by multiscale entropy (1) would differ from random noise, (2) would differ between four major resting

SUBMITTER: McDonough IM 

PROVIDER: S-EPMC4051265 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature