Evolution from four mental states to the highest state of consciousness: A neurophysiological basis of meditation as defined in yoga texts.
Electrophysiology
Meditation
Neuroimaging
States of consciousness
Journal
Progress in brain research
ISSN: 1875-7855
Titre abrégé: Prog Brain Res
Pays: Netherlands
ID NLM: 0376441
Informations de publication
Date de publication:
2019
2019
Historique:
entrez:
9
2
2019
pubmed:
9
2
2019
medline:
16
4
2019
Statut:
ppublish
Résumé
This chapter provides a theoretical introduction to states of consciousness and reviews neuroscientific investigations of meditation. The different states of consciousness consist of four mental states, i.e., cancalata (random thinking), ekagrata (non-meditative focusing), dharna (focused meditation), and dhyana (meditation) as defined in yoga texts. Meditation is a self-regulated mental process associated with deep relaxation and increased internalized attention. Scientific investigations on meditation reported changes in electrophysiological signals and neuroimaging measures. But most outcomes of meditation studies showed inconsistent results, this may be due to heterogeneity in meditation methods and techniques evolved in the last 200 years. Traditionally, the features of meditation include the capacity to sustain a heightened awareness of thoughts, behaviors, emotions, and perceptions. Generally, meditation involves non-reactive effortless monitoring of the content of experience from moment to moment. Focused meditation practice involves awareness on a single object and open monitoring meditation is a non-directive meditation involved attention in breathing, mantra, or sound. Therefore, results of few empirical studies of advanced meditators or beginners remain tentative. This is an attempt to compile the meditation-related changes in electrophysiological and neuroimaging processes among experienced and novice practitioners.
Identifiants
pubmed: 30732843
pii: S0079-6123(18)30168-7
doi: 10.1016/bs.pbr.2018.10.029
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
31-83Informations de copyright
© 2019 Elsevier B.V. All rights reserved.