Just a minute meditation: Rapid voluntary conscious state shifts in long term meditators

Nair, A. K.; Sasidharan, Arun; John, John P.; Mehrotra, Seema; Kutty, Bindu M.

doi:10.1016/j.concog.2017.06.002

Cited by 31 publications

(24 citation statements)

References 39 publications

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“…As expected, in present study, meditation produced little change in delta activity (Sleep or pathological processes). The above results concur with previous studies reporting EEG patterns for alpha [1][2][3][4]14,15] or beta [16,17] but detailed comparative analysis of EEG waves during different phases of meditation for LTMs vs. STMs are studied most probably or the first time in the present study.…”

Section: Discussionsupporting

confidence: 93%

“…The increase in alpha activity likely relates to relaxation. [1][2][3][4]14,15] Present study also showed increased beta activity along with increased alpha activity for short-term meditators which likely relates to increased alertness, awareness with relaxation. As expected, in present study, meditation produced little change in delta activity (Sleep or pathological processes).…”

Section: Discussionsupporting

confidence: 56%

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Comparative Analysis of Depth of Meditation Between Long-Term and Short Term Meditators using Electroencephalography

Magan

Yadav

Deepak

2019

IJCEP

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Background and Aim: The present study was designed to evaluate the brain electrical activity among Long-term meditators (LTMs) and Short-term meditators (STMs) using Electroencephalography (EEG). Methods: This prospective study involved 40 mins of EEG recordings, carried out twice i.e. at Day 0 (Baseline) and at Day 10 (During meditation) in thirty-four (34) participants. Twelve (12) apparently healthy male, right-handed, practicing preksha meditation (Since >5 years, at least 5 days a week) were recruited as long-term meditators; Twelve (12) subjects who attended the 10-days short-term yoga-based lifestyle intervention program were recruited as short-term meditators; Ten (10) male healthy controls, who did not participate in any dietary/yoga intervention were recruited among the staff members. The EEG waves were analyzed at Day 0 and at Day 10 using Wilcoxon Signed Rank test and Repeated measured ANOVA respectively. One-way ANOVA was used for the baseline EEG waves activity comparison among LTMs vs. STMs vs. Controls. The response to photic stimulation was also assessed during meditation. Results: Significant different patterns of alpha and theta waves (p<0.05) activity was observed for LTM vs. STM during meditation vs. baseline. Also, significant different baseline EEG waves (p<0.05) were observed among LTM vs. STM vs. Controls. Conclusion: Findings may be useful in defining the basic EEG features to differentiate meditators based on the duration of practice of meditation and depth of meditation.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionsupporting

confidence: 56%

Comparative Analysis of Depth of Meditation Between Long-Term and Short Term Meditators using Electroencephalography

Magan

Yadav

Deepak

2019

IJCEP

View full text Add to dashboard Cite

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“…On the other hand, some studies have reported only alpha band alterations, such as Qin et al ( 2009 ), with Qigong (CDM-FA); Kim et al ( 2013 ), with autogenic meditation (CDM-FA); and Fan et al ( 2014 ) with a CDM meditation protocol. Nevertheless, many studies report increases in the power of both bandwidths, such as Arambula et al ( 2001 ) with Kundalini Yoga (CDM-FA), Takahashi et al ( 2005 ) with Zen (Su-soko), Lagopoulos et al ( 2009 ) with Acem meditation (NDM), Lee et al ( 2015 ) with Tibetan Nyingmapa (CDM-FA), Nair et al ( 2017 ) with Brahma Kumaris Rajayoga (CDM), Sharma et al ( 2018 ) with Rajyoga (ADM), and Kakumanu et al ( 2018 ) with Vipassana practitioners (CDM and ADM). Still, there are noticeably findings in other bandwidths: Dentico et al ( 2018 ) evaluated meditators before and after long CDM and ADM practices reporting an enhanced activity in frequency bands ranging from delta to low-gamma over midline prefrontal and left centro-parietal electrodes, with the higher spatial extent in the theta range.…”

Section: Spectral Featuresmentioning

confidence: 99%

A Critical Analysis on Characterizing the Meditation Experience Through the Electroencephalogram

Deolindo

Ribeiro

Aratanha

et al. 2020

Front. Syst. Neurosci.

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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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“…This ambiguity could be addressed by more precise participant selection, monitoring, and measurement. For example, some people self-report experiencing oneness in a permanent trait-like way (Costeines, 2009;Goleman and Davidson, 2017), and some people have the capacity to self-invoke oneness-related experiences in a research context (Kelly and Grosso, 2007;Berkovich-Ohana et al, 2013;Dor-Ziderman et al, 2013;Hinterberger et al, 2014;Nair et al, 2017;Schoenberg et al, 2018). These types of participants could be specifically selected.…”

Section: Limitations and Future Researchmentioning

confidence: 99%

Understanding the Nature of Oneness Experience in Meditators Using Collective Intelligence Methods

Lente

Hogan

2020

Front. Psychol.

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Research on meditation and mindfulness practice has flourished in recent years. While much of this research has focused on well-being outcomes associated with mindfulness practice, less research has focused on how perception of self may change as a result of mindfulness practice, or whether these changes in self-perception may be mechanisms of mindfulness in action. This is somewhat surprising given that mindfulness derives from traditions often described as guiding people to realize and experience the nonseparation of self from the world or its "oneness" with the whole of reality. The current study used a collective intelligence methodology, Interactive Management (IM), to explore the nature of oneness experiences. Five IM sessions were conducted with five separate groups of experienced meditators. Participants generated, clarified, and selected oneness self-perceptions they believed most characterized their experience both during meditation and in their everyday experience in the world. Each group also developed structural models describing how highly ranked aspects of oneness self-perceptions are interrelated in a system. Consistent themes and categories of oneness experience appeared across the five IM sessions, with changes in the sense of space (unboundedness), time, identity, wholeness, and flow highlighted as most influential. Results are discussed in light of emerging theory and research on oneness self-perception and non-dual awareness.

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Just a minute meditation: Rapid voluntary conscious state shifts in long term meditators

Cited by 31 publications

References 39 publications

Comparative Analysis of Depth of Meditation Between Long-Term and Short Term Meditators using Electroencephalography

Comparative Analysis of Depth of Meditation Between Long-Term and Short Term Meditators using Electroencephalography

A Critical Analysis on Characterizing the Meditation Experience Through the Electroencephalogram

Understanding the Nature of Oneness Experience in Meditators Using Collective Intelligence Methods

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