Journal
JOURNAL OF NEUROSCIENCE
Volume 34, Issue 23, Pages 7910-7916Publisher
SOC NEUROSCIENCE
DOI: 10.1523/JNEUROSCI.4423-13.2014
Keywords
anatomy; fMRI; functional connectivity; modeling
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Funding
- European Research Council Advanced Grant DYSTRUCTURE [295129]
- Spanish Research Project [SAF2010-16085]
- CONSOLIDER-INGENIO Programme [CSD2007-00012]
- FP7-ICT BrainScales
- Collaborative Research Grant from the James S. McDonnell Foundation [220020255]
- Leenaards Foundation
- ICREA Funding Source: Custom
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The complex network dynamics that arise from the interaction of the brain's structural and functional architectures give rise to mental function. Theoretical models demonstrate that the structure-function relation is maximal when the global network dynamics operate at a critical point of state transition. In the present work, we used a dynamic mean-field neural model to fit empirical structural connectivity (SC) and functional connectivity (FC) data acquired in humans and macaques and developed a new iterative-fitting algorithm to optimize the SC matrix based on the FC matrix. A dramatic improvement of the fitting of the matrices was obtained with the addition of a small number of anatomical links, particularly cross-hemispheric connections, and reweighting of existing connections. We suggest that the notion of a critical working point, where the structure-function interplay is maximal, may provide a new way to link behavior and cognition, and a new perspective to understand recovery of function in clinical conditions.
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