DC-EEG recordings of mindfulness

Rodin, Ervin Y.; Bornfleth, Harald; Johnson, Michael B.

doi:10.1016/j.clinph.2016.12.031

Cited by 5 publications

(2 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…By contrast, Berman and Stevens ( 2015 ) evaluated CDM-FA/OM and NDM meditators in enriched consciousness states, reporting lower power in delta, theta and alpha during these states in comparison to baseline. Finally, Rodin et al ( 2017 ) explored the brain InfraSlow Activity (0.0002–0.1 Hz) activity during YogaNidra (NDM), suggesting higher activity of these frequencies during attentive tasks, such as meditation.…”

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.

View full text Add to dashboard Cite

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.

show abstract

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.

View full text Add to dashboard Cite

show abstract

“…in the voluntary control of mental and physiological processes (Lomas et al, 2015;Tang et al, 2015). In this manner, selfregulation through EEG has been claimed to be beneficial for wellbeing and emotional balance, especially in mindfulness meditation (Lutz et al, 2006(Lutz et al, , 2008Rodina et al, 2017). Thanks to its efficacy as a brain activity tracking tool device, EEG is experiencing a steady growth in these kinds of market applications.…”

Section: Self-regulationmentioning

confidence: 99%

Beyond Technologies of Electroencephalography-Based Brain-Computer Interfaces: A Systematic Review From Commercial and Ethical Aspects

Lopez

Zhang

2020

Front. Neurosci.

View full text Add to dashboard Cite

The deployment of electroencephalographic techniques for commercial applications has undergone a rapid growth in recent decades. As they continue to expand in the consumer markets as suitable techniques for monitoring the brain activity, their transformative potential necessitates equally significant ethical inquiries. One of the main questions, which arises then when evaluating these kinds of applications, is whether they should be aligned or not with the main ethical concerns reported by scholars and experts. Thus, the present work attempts to unify these disciplines of knowledge by performing a comprehensive scan of the major electroencephalographic market applications as well as their most relevant ethical concerns arising from the existing literature. In this literature review, different databases were consulted, which presented conceptual and empirical discussions and findings about commercial and ethical aspects of electroencephalography. Subsequently, the content was extracted from the articles and the main conclusions were presented. Finally, an external assessment of the outcomes was conducted in consultation with an expert panel in some of the topic areas such as biomedical engineering, biomechatronics, and neuroscience. The ultimate purpose of this review is to provide a genuine insight into the cutting-edge practical attempts at electroencephalography. By the same token, it seeks to highlight the overlap between the market needs and the ethical standards that should govern the deployment of electroencephalographic consumer-grade solutions, providing a practical approach that overcomes the engineering myopia of certain ethical discussions.

show abstract

Soft, adhesive and conductive composite for electroencephalogram signal quality improvement

Jin

Kim

et al. 2023

Biomed. Eng. Lett.

View full text Add to dashboard Cite

DC-EEG recordings of mindfulness

Cited by 5 publications

References 25 publications

A Critical Analysis on Characterizing the Meditation Experience Through the Electroencephalogram

A Critical Analysis on Characterizing the Meditation Experience Through the Electroencephalogram

Beyond Technologies of Electroencephalography-Based Brain-Computer Interfaces: A Systematic Review From Commercial and Ethical Aspects

Soft, adhesive and conductive composite for electroencephalogram signal quality improvement

Contact Info

Product

Resources

About