EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach
Frontiers in Human Neuroscience August 26, 2025 Eyad Talal Attar 8 citations
Introduction This scientific investigation explored how meditation influences neural sound stimulus responses by employing EEG techniques during both meditative states and auditory oddball tasks. The study evaluated event-related potentials alongside theta, alpha and beta spectral power while employing machine learning techniques to distinguish meditative states from cognitive tasks. Methods...
DOI: 10.3389/fnhum.2025.1616456 (opens in new tab)
Meditation
Electroencephalography
Cognitive psychology