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Complexity of resting cortical activity predicts neurophysiological responses to theta-burst stimulation but fails to generalize: A rigorous machine-learning approach
- Matthew Herbert Ning,
- Haoqi Sun,
- Brice Passera,
- Duygu Bagci Das,
- Brandon Westover,
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Alvaro Pascual-Leone,
Roles Supervision, Writing – review & editing
Affiliation Hebrew SeniorLife Center, Boston, Massachusetts, United States of America
⨯ - Emiliano Santarnecchi,
- Mouhsin M. Shafi,
-
Recep A. Ozdemir
Roles Conceptualization, Data curation, Formal analysis, Investigation, Resources, Supervision, Writing – review & editing
* E-mail: rozdemir@bidmc.harvard.edu
Affiliation Berenson-Allen Center for Noninvasive Brain Stimulation, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America
⨯
https://orcid.org/0000-0001-8975-0382
Complexity of resting cortical activity predicts neurophysiological responses to theta-burst stimulation but fails to generalize: A rigorous machine-learning approach
- Matthew Herbert Ning,
- Haoqi Sun,
- Brice Passera,
- Duygu Bagci Das,
- Brandon Westover,
- Alvaro Pascual-Leone,
- Emiliano Santarnecchi,
- Mouhsin M. Shafi,
- Recep A. Ozdemir
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- Published: April 30, 2026
- https://doi.org/10.1371/journal.pcbi.1014154