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Abstract #0645

Globally conditioned multivariate causal influence estimates in whole-brain functional connectivity

Andrea Duggento1, Luca Passamonti2,3, Maria Guerrisi1, and Nicola Toschi1,4

1Department of biomedicine and prevention, University of Rome "Tor Vergata", Rome, Italy, 2Institute of Bioimaging and Molecular Physiology, National Research Council, Catanzaro, Italy, 3Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom, 4Department of Radiology, Martinos Center for Biomedical Imaging and Harvard Medical School, Boston, MA, United States

Reconstructing the direction of information flow ("causality") is crucial when studying evidence-based network models of the brain. We use multivariate analysis to develop a conditioning approach which measures the true directed coupling between two signals which are also indirectly connected through a large number of additional interdependent sources. After validation through synthetics noisy oscillator networks, we study data from 100 HCP subjects, revealing a clear-cut, sparse resting-state directed network structure and providing first-time evidence of a concerted directional interaction between subnetworks of the brain, with the salience network performing top-down integration of sensory-motor and cognitive processes.

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