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.
Original language | English |
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Article number | 53 |
Journal | Frontiers in Systems Neuroscience |
Volume | 14 |
DOIs | |
Publication status | Published - 7 Aug 2020 |
Funding
We thank Prof. Ises de Almeida Abrahamsohn for the careful review of the manuscript. Funding. This Project was supported by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), PROUNIEMP, and Instituto Israelita de Ensino e Pesquisa Albert Einstein (IIEPAE).
Funders | Funder number |
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IIEPAE | |
Instituto Israelita de Ensino e Pesquisa Albert Einstein | |
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior | |
Conselho Nacional de Desenvolvimento Científico e Tecnológico |
Keywords
- brain
- contemplative science
- electroencephalogram
- meditation
- mindfulness