Journal
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Volume 116, Issue 52, Pages 26961-26969Publisher
NATL ACAD SCIENCES
DOI: 10.1073/pnas.1906694116
Keywords
connectome; MRI; resting state; large-scale model
Categories
Funding
- ANR Connectome [ANR17-CE37-0001]
- European Union's Horizon 2020 Framework Programme for Research and Innovation [785907]
- Israel Science Foundation [770/17]
- National Institutes of Health [1R01NS091037]
- Adelis Foundation
- Prince Center
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Whole brain dynamics intuitively depend upon the internal wiring of the brain; but to which extent the individual structural connectome constrains the corresponding functional connectome is unknown, even though its importance is uncontested. After acquiring structural data from individual mice, we virtualized their brain networks and simulated in silico functional MRI data. Theoretical results were validated against empirical awake functional MRI data obtained from the same mice. We demonstrate that individual structural connectomes predict the functional organization of individual brains. Using a virtual mouse brain derived from the Allen Mouse Brain Connectivity Atlas, we further show that the dominant predictors of individual structure-function relations are the asymmetry and the weights of the structural links. Model predictions were validated experimentally using tracer injections, identifying which missing connections (not measurable with diffusion MRI) are important for whole brain dynamics in the mouse. Individual variations thus define a specific structural fingerprint with direct impact upon the functional organization of individual brains, a key feature for personalized medicine.
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