Aperiodic activity as a central neural feature of hypnotic susceptibility outside of hypnosis
Mathieu Landry, Jason da Silva Castanheira, Catherine Boisvert, Floriane Rousseaux, Jérôme Sackur, Amir Raz, Philippe Richebé, David Ogez, Pierre Rainville, Karim Jerbi
The paper uses EEG, machine learning, and multivariate statistics to identify neural features predicting hypnotic susceptibility, finding that aperiodic EEG activity at rest is the strongest predictor.
bioRxiv · Nov 16, 2023 · PreprintNeuroscience