Investigation of meditation scenario by quantifying the complexity index of EEG

Lo, Pei-Chen; Huang, Hsuan Yung

doi:10.1080/02533839.2007.9671267

Cited by 3 publications

(2 citation statements)

References 51 publications

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“…The inclusion criteria were sufficient sample size (n > 6), report of statistical analyses, description of the directionality of changes, and a relevant contrast (contrasting a similar condition between two groups or contrasting two conditions within one group). We excluded 3 studies due to small sample size (n=3: Davis et al, 2020;n=2: Lin & Li, 2017;n=2: Pradhan & Narayana Dutt, 1995), 4 studies that utilized complexity-related measures in meditation for machine learning classifiers and reported classification accuracy but did not report any descriptive analysis on the directionality of change in complexity (Han et al, 2020;Jachs, 2022;Korde et al, 2018;Pandey et al, 2023), 6 studies which reported results but did not apply basic statistical significance testing (Harne, 2014;Kamthekar & Iyer, 2021;Kaur et al, 2017;Motghare & Thorat, 2018;Lo & Huang, 2007;Pandey & Miyapuram, 2021) and 2 studies contrasting a condition of experienced meditators during meditation vs. resting state of controls, which is an irrelevant contrast for our purposes 4 (Huang & Lo, 2009;Shaw & Routray, 2016).…”

Section: A Systematic Review Of Complexity In Meditationmentioning

confidence: 99%

Meditation and Complexity: a Systematic Review

Atad,

Mediano,

Rosas

et al. 2023

Preprint

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Recent years have seen a growing interest in the use of measures inspired by complexity science for the study of consciousness. The work done in this field has shown remarkable results in discerning conscious from unconscious states, and in characterizing states of altered conscious experience following intake of psychedelic substances as involving enhanced complexity. However, the relationship between meditation and complexity is unclear, as empirical studies based on different theoretical frameworks point to meditation being associated with either enhancement or reduction of complexity. Here we provide a systematic review of the accumulating literature studying the complexity of neural activity in meditation, which disentangles different families of measures, short-term (state) from long-term (trait) effects, and meditation styles. Beyond families of measures used, our review uncovers a convergence toward identifying a higher complexity of neural activity during the meditative state when compared to waking rest or mind-wandering, and a decreased baseline complexity as a trait in experienced meditators compared to novices and controls. This review contributes to guide current debates and provides a framework for understanding the complexity of neural activity in meditation, while suggesting some practical guidelines for future research in the field.

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Section: A Systematic Review Of Complexity In Meditationmentioning

confidence: 99%

Meditation and Complexity: a Systematic Review

Atad,

Mediano,

Rosas

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Although EEG signals during meditation has been studied in the past [10][11][12][13], there remains a lack of significant effort on classifying these signals during rest and meditation.…”

Section: Introductionmentioning

confidence: 99%