Oscillating Mindfully: Using Machine Learning to Characterize Systems-Level Electrophysiological Activity During Focused Attention Meditation.
Biological Psychiatry Global Open Science March 1, 2025 Noga Aviad, Oz Moskovich, Ophir Orenstein et al.
A machine learning algorithm classified electroencephalography (EEG) recordings from 26 experienced meditators as either a focused attention meditation state or a mind-wandering control state with 83% accuracy. The model identified 10 EEG features associated with increased power and coherence of high-frequency brain oscillations during meditation relative to mind-wandering. The findings help characterize the complex, systemic oscillatory activity underlying meditation states.