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✅   Frequency-Dependent Neurostimulation in Whole Brain Network models

science

Background: Neuromodulation with electric, electromagnetic, or sensory stimulation presents a complex challenge in optimizing stimulation parameters to achieve specific physiological, cognitive, or behavioral outcomes. The effectiveness of stimulation depends on factors such as stimulation frequency, target location, and individual brain network architecture, yet a systematic framework for predicting stimulation effects is still lacking. Methods: We deployed a coupled oscillators Kuramoto model informed by the human structural connectome, known to generate spontaneous metastable oscillatory modes with dynamical features resembling real M/EEG oscillatory activity. We simulated the effect of the stimulation at the peaks of its oscillatory modes in different brain cortical regions, using different structural connectivity properties to emulate inter-individual variability.

BioRxiv     May 05, 2025