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

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 syste...

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Bibliographic Details
Main Authors: Lisa Haxel, Oskari Ahola, Paolo Belardinelli, Maria Ermolova, Dania Humaidan, Jakob H. Macke, Ulf Ziemann
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Brain state classification
electroencephalography (EEG)
machine learning
motor excitability
transcranial magnetic stimulation (TMS)
Online Access:https://ieeexplore.ieee.org/document/10795227/
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