Closed-Loop Systems and Real-Time Neurofeedback in Mindfulness Meditation Research

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Overview

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This review examines how closed-loop systems and real-time neurofeedback might address challenges in mindfulness meditation research, such as adherence and session quality. It outlines various neurofeedback signals derived from functional magnetic resonance imaging and electroencephalography that correlate with subjective mindfulness states. The authors suggest future studies should utilize control conditions to quantify the effects of these technologies on cognition and well-being.

ID
afca2e2260fe4a4f
Source org
PubMed Central
Author
J Chen (University of California, San Francisco), David A. Ziegler (University of California, San Francisco)
Published
2024-10-30
OA status
hybrid
DOI
10.1016/j.bpsc.2024.10.012
PMID
Not recorded
PMCID
Not recorded
Citations
6

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BibTeX

@article{allodium:afca2e2260fe4a4f,
  title = {Closed-Loop Systems and Real-Time Neurofeedback in Mindfulness Meditation Research},
  author = {J Chen and David A. Ziegler},
  year = {2024},
  journal = {PubMed Central},
  doi = {10.1016/j.bpsc.2024.10.012},
  url = {https://doi.org/10.1016/j.bpsc.2024.10.012}
}

RIS

TY  - JOUR
TI  - Closed-Loop Systems and Real-Time Neurofeedback in Mindfulness Meditation Research
AU  - Chen, J
AU  - Ziegler, David A.
PY  - 2024
PB  - PubMed Central
DO  - 10.1016/j.bpsc.2024.10.012
UR  - https://doi.org/10.1016/j.bpsc.2024.10.012
ER  -

APA

Chen, J., & Ziegler, D. A. (2024). Closed-Loop Systems and Real-Time Neurofeedback in Mindfulness Meditation Research. PubMed Central. https://doi.org/10.1016/j.bpsc.2024.10.012

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