Formal Models of the Network Co-occurrence Underlying Mental Operations.

ABSTRACT: Systems neuroscience has identified a set of canonical large-scale networks in humans. These have predominantly been characterized by resting-state analyses of the task-unconstrained, mind-wandering brain. Their explicit relationship to defined task performance is largely unknown and remains challenging. The present work contributes a multivariate statistical learning approach that can extract the major brain networks and quantify their configuration during various psychological tasks. The method is validated in two extensive datasets (n = 500 and n = 81) by model-based generation of synthetic activity maps from recombination of shared network topographies. To study a use case, we formally revisited the poorly understood difference between neural activity underlying idling versus goal-dire

SUBMITTER: Bzdok D 

PROVIDER: S-EPMC4911040 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature