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

2024-02-28

Abstract excerpt

<h4>Background</h4> With the burgeoning interest in personalized treatments for brain network disorders, closed-loop transcranial magnetic stimulation (TMS) represents a promising frontier. Relying on the real-time adjustment of stimulation parameters based on brain signal decoding, the success of this approach depends on the identification of precise biomarkers for timing the stimulation optimally. <h4>Objective...

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Literature Corpus work
07261611-9cae-5c4c-b95b-834939fd6836
DOI
10.1101/2024.02.27.582361
Open publication

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Decoding Motor Excitability in TMS using EEG-Features: An Exploratory Machine Learning ApproachDOI 10.1101/2024.02.27.582361
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