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Hemispheric-Specific Coupling Improves Modeling of Functional Connectivity Using Wilson–Cowan Dynamics
Villota, Hernán Orio, Patricio
Villota, Hernán
Orio, Patricio
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Capítulo de libro
Abstract
"Large-scale neural mass models have been widely used to simulate resting-state brain activity from structural connectivity. In this work, we extend a well-established Wilson--Cowan framework by introducing a novel hemispheric-specific coupling scheme that differentiates between intra-hemispheric and inter-hemispheric structural interactions. We apply this model to empirical cortical connectomes and resting-state fMRI data from matched control and schizophrenia groups. Simulated functional connectivity is computed from the band-limited envelope correlations of regional excitatory activity and compared against empirical functional connectivity matrices. Our results show that incorporating hemispheric asymmetries enhances the correlation between simulated and empirical functional connectivity, highlighting the importance of anatomically-informed coupling strategies in improving the biological realism of large-scale brain network models."
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(Versión disponible en RI ITBA: preprint en arXiv).
Versión final publicada disponible via DOI.
Date
2025-09
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Volume Title
Publisher
Springer Nature
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2506.22951v2.pdf
Adobe PDF, 2.91 MB
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Keywords
MODELOS DE MASAS NEURONALES, ACOPLAMIENTO HEMISFÉRICO, CONECTIVIDAD FUNCIONAL, ASIMETRÍA CEREBRAL, NEUROCIENCIA COMPUTACIONAL, DINÁMICA CEREBRAL
Citation
Plüss, R., Villota, H., & Orio, P. (2026). The role of connection density in an adaptive network with chaotic units. In Communications in Computer and Information Science (Vol. 2734, pp. 109–121). Springer. https://doi.org/10.1007/978-3-032-14664-9_10