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Formal Models of the Network Co-occurrence Underlying Mental Operations.
- Source :
- PLoS Computational Biology; 6/16/2016, Vol. 12 Issue 6, p1-31, 31p, 2 Color Photographs, 4 Diagrams, 2 Charts, 2 Graphs
- Publication Year :
- 2016
-
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-directed behavior. We demonstrate that task-specific neural activity patterns can be explained by plausible combinations of resting-state networks. The possibility of decomposing a mental task into the relative contributions of major brain networks, the "network co-occurrence architecture" of a given task, opens an alternative access to the neural substrates of human cognition. [ABSTRACT FROM AUTHOR]
- Subjects :
- TASK performance
PYRAMIDAL neurons
BRAIN
RADIOGRAPHY
BRAIN diseases
MIND-wandering
Subjects
Details
- Language :
- English
- ISSN :
- 1553734X
- Volume :
- 12
- Issue :
- 6
- Database :
- Complementary Index
- Journal :
- PLoS Computational Biology
- Publication Type :
- Academic Journal
- Accession number :
- 116190158
- Full Text :
- https://doi.org/10.1371/journal.pcbi.1004994