This study aims to integrate structural and functional data to explore microscale neural dynamic changes in temporal lobe epilepsy.
Utilized a biophysically informed relaxed mean-field model (rMFM) to estimate parameters in individuals.
Used diffusion MRI for structural connectivity constraints and simulated resting-state neural dynamics.
Conducted graph-theoretical analyses to assess network topology and associations with clinical measures.
LHS and RHS groups displayed significant differences in recurrent connection weight (w) and subcortical drive (I) compared to healthy controls.
Observed changes in local recurrent dynamics and subcortical modulation that may disrupt large-scale network integration.
Microscale parameter alterations were significantly associated with changes in network topology, indicating propagation effects on macroscopic networks.