Decoding Motor Excitability in TMS using EEG-Features: An Exploratory Machine Learning Approach

Decoding Motor Excitability in TMS using EEG-Features: An Exploratory Machine Learning Approach 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Abstract:

Brain state-dependent transcranial magnetic stimulation (TMS) holds promise for enhancing neuromodulatory effects by synchronizing stimulation with specific features of cortical oscillations derived from real-time electroencephalography (EEG). However, conventional approaches rely on open-loop systems with static stimulation parameters, assuming that pre-determined EEG features universally indicate high or low excitability states. This …

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