ReviewFrontiers in systems neuroscience2020
A Critical Analysis on Characterizing the Meditation Experience Through the Electroencephalogram.
Review in Frontiers in systems neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- Combined Yoga and Transcranial Direct Current Stimulation Increase Functional Connectivity and Synchronization in the Frontal Areas.Brain topography · 2022Trial
- Heartfulness Meditation-induced State and Trait Effects on Long-term, Short-term and Non-meditators Using Connectivity Analysis: An EEG Study on Prefrontal Cortex.Annals of neurosciences · 2026Article
- EEG evidence for reproducible neural states during Buddhist Highest Yoga Tantra meditation.Scientific reports · 2026Article
- Longitudinal Effects of Mindfulness Combined with Gratitude Touch on Anxiety, Depression, and Stress: A 12-Month Portable EEG-Based Study.Brain sciences · 2026Article
- EEG Brain Rhythms During Resting-State Wakefulness and Sleep in Elderly Expert Meditators.Journal of sleep research · 2026Article
- Neural Dynamics of Heartfulness Meditation: EEG Alpha Modulation Across Experience Levels.Annals of neurosciences · 2026Article
- Neuroimaging and consciousness: applications of PET, SPECT, and advanced MRI modalities.American journal of nuclear medicine and molecular imaging · 2026Review
- EEG entropy modulation as a biomarker of emotion regulation and resilience.IBRO neuroscience reports · 2025Review
- Machine Learning-Based Comparative Analysis of Subject-Independent EEG Data Classification Across Multiple Meditation and Non-Meditation Sessions.Sensors (Basel, Switzerland) · 2025Article
- Oscillating Mindfully: Using Machine Learning to Characterize Systems-Level Electrophysiological Activity During Focused Attention Meditation.Biological psychiatry global open science · 2025Article
- Novel machine learning-driven comparative analysis of CSP, STFT, and CSP-STFT fusion for EEG data classification across multiple meditation and non-meditation sessions in BCI pipeline.Brain informatics · 2025Article
- Consciousness, mindfulness, and introspection: integrating first- and second-person phenomenological inquiry with experimental and EEG data to study the mind.Frontiers in psychology · 2025Article
- fMRI-based explanations for how meditation could modulate pain processing.Frontiers in neuroscience · 2025Article
- Meditation and complexity: a review and synthesis of evidence.Neuroscience of consciousness · 2025Review
- The Role of Momentary Dissociation in the Sensory Cortex: A Neurophysiological Review and its Implications for Maladaptive Daydreaming.Medical science monitor : international medical journal of experimental and clinical research · 2024Review
- Cognitive, psychological, and physiological effects of a web-based mindfulness intervention in older adults during the COVID-19 pandemic: an open study.BMC geriatrics · 2024Article
- Penalized canonical correlation analysis reveals a relationship between temperament traits and brain oscillations during mind wandering.Brain and behavior · 2024Article
- Mindfulness meditation styles differently modulate source-level MEG microstate dynamics and complexity.Frontiers in neuroscience · 2024Article
- Common spatial pattern for classification of loving kindness meditation EEG for single and multiple sessions.Brain informatics · 2023Article
- Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Meditation practices, originated from ancient traditions, have increasingly received attention due to their potential benefits to mental and physical health. The scientific community invests efforts into scrutinizing and quantifying the effects of these practices, especially on the brain. There are methodological challenges in describing the neural correlates of the subjective experience of meditation. We noticed, however, that technical considerations on signal processing also don't follow standardized approaches, which may hinder generalizations. Therefore, in this article, we discuss the usage of the electroencephalogram (EEG) as a tool to study meditation experiences in healthy individuals. We describe the main EEG signal processing techniques and how they have been translated to the meditation field until April 2020. Moreover, we examine in detail the limitations/assumptions of these techniques and highlight some good practices, further discussing how technical specifications may impact the interpretation of the outcomes. By shedding light on technical features, this article contributes to more rigorous approaches to evaluate the construct of meditation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.