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Exploring EEG biomarkers in meditation, yoga, and mantra practices: a review of neural correlates and methodologies

Daisy Das, Nabamita Deb

Neural Computing and Applications March 5, 2026 DOI: 10.1007/s00521-026-12026-x (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Review Peer reviewed
Topics Meditation
Keywords Brief EEG Features Mantra Ml Relaxation Stimuli
Key findings The review provides a systematic framework linking EEG activity to relaxation from traditional practices, identifies gaps in the literature, and highlights the relationship between mantras and EEG parameters along with classification techniques.

Abstract

Studying EEG oscillations has attracted significant attention due to their potential impact on physiological, cognitive, psychomotor, and psycho-emotional aspects of human life. However, there is no consensus on what constitutes “EEG activity” or which indices best characterize it, particularly in the context of relaxation brought about by mantras, yoga, and meditation. This review provides a systematic framework linking EEG to relaxation from traditional healing practices. It defines EEG activity and investigates individual band activity associated with relaxation. Additionally, a gap analysis of EEG literature in this domain is conducted. By reading this review, one may gain comprehensive knowledge of the entire process of EEG-based research, including methodologies, analysis techniques, and potential applications for understanding relaxation and its effects on well-being. Notably, this work introduces a unique perspective by integrating traditional practices with modern EEG research, filling a crucial gap in the existing literature. Furthermore, it highlights the relationship between mantras and EEG parameters, as well as various classification techniques utilized in EEG studies, emphasizing their preprocessing steps, relaxation features, classification methods, and achieved accuracy.

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