Oscillating Mindfully: Using Machine Learning to Characterize Systems-Level Electrophysiological Activity During Focused Attention Meditation

Authors

Noga Aviad
Ophir Orenstein
Etam Benger
Oz Moskovich
Amit Bernstein (ORCID: https://orcid.org/0000-0003-4010-9070)
Arnaud Delorme (ORCID: https://orcid.org/0000-0002-0799-3557)

Institutions

Université Toulouse III - Paul Sabatier (FR)
Hebrew University of Jerusalem (IL)
University of California San Diego (US)
University of Wisconsin Health (US)
Centre de recherche cerveau et cognition (FR)
Mellanox Technologies (Israel) (IL)
Oklahoma State University Center for Health Sciences (US)
University of Haifa (IL)

Publication Details

Journal: Biological Psychiatry Global Open Science
Published: 2024-11-26
DOI: https://doi.org/10.1016/j.bpsgos.2024.100423
Citations: 8
Primary Topic: EEG and Brain-Computer Interfaces
Type: article
Field-Weighted Citation Impact: 2.74

Funders

University of Haifa

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article

Oscillating Mindfully: Using Machine Learning to Characterize Systems-Level Electrophysiological Activity During Focused Attention Meditation

Noga Aviad, Ophir Orenstein, Etam Benger, Oz Moskovich et al.

Nov 26, 2024

8 citations

Biological Psychiatry Global Open Science

EEG and Brain-Computer Interfaces

2.74

article

Oscillating Mindfully: Using Machine Learning to Characterize Systems-Level Electrophysiological Activity During Focused Attention Meditation

Noga Aviad, Ophir Orenstein, Etam Benger, Oz Moskovich, Amit Bernstein, Arnaud Delorme

November 26, 2024article en

8 citations

Abstract

No abstract available for this paper.

Biological Psychiatry Global Open ScienceVol. 5(2)

Université Toulouse III - Paul Sabatier (FR), Hebrew University of Jerusalem (IL), University of California San Diego (US), University of Wisconsin Health (US), Centre de recherche cerveau et cognition (FR), Mellanox Technologies (Israel) (IL), Oklahoma State University Center for Health Sciences (US), University of Haifa (IL)

University of Haifa

Openalex Percentile: Top 9%

EEG and Brain-Computer Interfaces

2.74

DOI Open Access PDF OpenAlex

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