Structural-and-dynamical similarity predicts compensatory brain areas driving 
the post-lesion functional recovery mechanism

Chakraborty, Priyanka; Saha, Suman; Deco, Gustavo; Banerjee, Arpan; Roy, Dipanjan

doi:10.1093/texcom/tgad012

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Structural-and-dynamical similarity predicts compensatory brain areas driving the post-lesion functional recovery mechanism

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Deco, Gustavo
Computational Neuroscience Group, Department of Information and Communication Technologies, Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain;
Catalan Institution for Research and Advanced Studies (ICREA), University Pompeu Fabra, Barcelona, Spain;
Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
School of Psychological Sciences, Monash University, Melbourne, Australia;

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Citation

Chakraborty, P., Saha, S., Deco, G., Banerjee, A., & Roy, D. (2023). Structural-and-dynamical similarity predicts compensatory brain areas driving the post-lesion functional recovery mechanism. Cerebral Cortex Communications, 4(3): tgad012. doi:10.1093/texcom/tgad012.

Cite as: https://hdl.handle.net/21.11116/0000-000D-79EF-F

Abstract

The focal lesion alters the excitation-inhibition (E-I) balance and normative healthy functional connectivity patterns, which may recover over time. One possible mechanism for the brain to counter the insult is global reshaping functional connectivity alterations. However, the operational principles by which this can be achieved remain unknown. We propose a novel equivalence principle based on structural and dynamic similarity analysis to predict whether specific compensatory areas initiate lost excitatory-inhibitory (E-I) regulation after lesion. We hypothesize that similar structural areas (SSAs) and dynamically similar areas (DSAs) corresponding to a lesioned site are the crucial dynamical units to restore lost homeostatic balance within the surviving cortical brain regions. SSAs and DSAs are independent measures, one based on structural similarity properties measured by Jaccard Index and the other based on post-lesion recovery time. We unravel the relationship between SSA and DSA by simulating a whole brain mean field model deployed on top of a virtually lesioned structural connectome from human neuroimaging data to characterize global brain dynamics and functional connectivity at the level of individual subjects. Our results suggest that wiring proximity and similarity are the two major guiding principles of compensation-related utilization of hemisphere (CRUH) in the post-lesion FC re-organization process.