Hemispheric Dynamic Mean Field Model

Dynamic mean field extension of hemispheric-specific whole-brain modeling.

Figure captions:

Figure 1. Hemispheric dynamic mean field (DMF) framework, used here as a continuation of the Wilson-Cowan line [Plüss et al. (2026)]. The brain rendering is based on the Lausanne parcellation [Cammoun et al. (2012)], restricted in this case to 68 cortical regions. The matrices and the functional activity patterns displayed on the brain renderings correspond to the schizophrenia group (SCHZ).

This project extends the hemispheric-specific whole-brain modeling line from Wilson-Cowan dynamics toward a dynamic mean field (DMF) formulation. The goal is to evaluate whether DMF improves the simulation of large-scale functional activity while preserving hemispheric asymmetry constraints. In this implementation, the structural representation follows the Lausanne parcellation and is restricted to 68 cortical regions [Cammoun et al. (2012)].

Links:

Plüss et al. (2026), DOI: https://doi.org/10.1007/978-3-032-14664-9_10
Cammoun et al. (2012), Lausanne parcellation: https://doi.org/10.1016/j.jneumeth.2011.09.031