Complexity of resting cortical activity predicts neurophysiological responses to theta-burst stimulation but fails to generalize: A rigorous machine-learning approach.
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| Title: | Complexity of resting cortical activity predicts neurophysiological responses to theta-burst stimulation but fails to generalize: A rigorous machine-learning approach. |
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| Authors: | Ning, Matthew Herbert1 (AUTHOR), Sun, Haoqi2 (AUTHOR), Passera, Brice1 (AUTHOR), Das, Duygu Bagci1 (AUTHOR), Westover, Brandon2 (AUTHOR), Pascual-Leone, Alvaro3 (AUTHOR), Santarnecchi, Emiliano4 (AUTHOR), Shafi, Mouhsin M.1 (AUTHOR), Ozdemir, Recep A.1 (AUTHOR) rozdemir@bidmc.harvard.edu |
| Source: | PLoS Computational Biology. 4/30/2026, Vol. 22 Issue 4, p1-23. 23p. |
| Database: | Academic Search Ultimate |
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| ISSN: | 1553734X |
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| DOI: | 10.1371/journal.pcbi.1014154 |
