Abstract #0645

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

Andrea Duggento¹, Luca Passamonti^2,3, Maria Guerrisi¹, and Nicola Toschi^1,4

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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