Article

Complexity of Resting Cortical Activity Predicts Neurophysiological Responses to Theta- Burst Stimulation but Fails to Generalize: A Rigorous Machine-Learning Approach

2025-09-24

Abstract excerpt

<title>Abstract</title> <p><bold>Background: </bold>Substantial variability in individual responses to intermittent theta-burst stimulation (iTBS) limits its clinical efficacy, yet neurophysiological predictors underlying this variability remain unclear. While most machine-learning (ML) studies have focused on modeling behavioral or clinical effects of repetitive transcranial magnetic stimulation (rTMS), the few...

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Literature Corpus work: 9b37cf86-afcd-5935-9804-c5071128a165
DOI: 10.21203/rs.3.rs-7643216/v1

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