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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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Principais autores: Lisa Haxel, Oskari Ahola, Paolo Belardinelli, Maria Ermolova, Dania Humaidan, Jakob H. Macke, Ulf Ziemann
Format: Artigo
Sprog:Inglês
Udgivet: IEEE 2025-01-01
Serier:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Fag:
Brain state classification
electroencephalography (EEG)
machine learning
motor excitability
transcranial magnetic stimulation (TMS)
Online adgang:https://ieeexplore.ieee.org/document/10795227/
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