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

Preprocessed files (resting-state EEG, motor-evoked potentials and TMS-EEG evoked potentials) for the manuscript of the same title: "Complexity of Resting Cortical Activity Predicts Neurophysiological Responses to Theta- Burst Stimulation but Fails to Generalize: A Rigorous Machine-Learning Approach," to be published on PLOS Computational Biology Journal (doi, coming soon). Uploaded as a single compressed file, which in turn, contains 574 files spanning two independent test-retest cohorts. De-identified in accordance with HIPAA/IRB. For feature store and labels, please refer to version 0.0.1 of this data repository.