Evidence map›Paper›PMID 39484554›Full record

ArticlebioRxiv : the preprint server for biology2024

High-precision neurofeedback-guided meditation training optimises real-world self-guided meditation practice for well-being.

Saampras Ganesan, Nicholas T Van Dam, Sunjeev K Kamboj, Aki Tsuchiyagaito, Matthew D Sacchet, Masaya Misaki, Bradford A Moffat, Valentina Lorenzetti, Andrew Zalesky

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Saampras GanesanDepartment of Biomedical Engineering, The University of Melbourne, Australia.ORCID 0000-0003-3678-0945
Nicholas T Van DamContemplative Studies Centre, Melbourne School of Psychological Sciences, The University of Melbourne, Australia.
Sunjeev K KambojResearch Department of Clinical, Educational and Health Psychology, University College London, United Kingdom.
Aki TsuchiyagaitoLaureate Institute for Brain Research, Tulsa, OK, USA.
Matthew D SacchetMeditation Research Program, Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Masaya MisakiLaureate Institute for Brain Research, Tulsa, OK, USA.
Bradford A MoffatMelbourne Brain Centre Imaging Unit, Department of Radiology, The University of Melbourne, Australia.
Valentina LorenzettiNeuroscience of Addiction and Mental Health Program, Healthy Brain and Mind Research Centre, School of Behavioral and Health Sciences, Faculty of Health, Australian Catholic University, Australia.
Andrew ZaleskyDepartment of Biomedical Engineering, The University of Melbourne, Australia.

Funding

The Center for Neuroscience-based Mental Health Assessment and Prediction (NEUROMAP)P20GM121312 · NIGMS · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI MARTIN P. PAULUS · 2017 to 2026
$23.7M
Individualized brain systems and depressionR01MH125850 · NIMH · MCLEAN HOSPITAL · PI SACCHET, MATTHEW D · 2022 to 2024
$1.3M
NIGMS NIH HHS P20 GM121312NIMH NIH HHS R01 MH125850
6 · The paper itself

Abstract

Meditation can benefit well-being and mental health, but novices often struggle to effectively recognize and disengage from mental processes during meditation due to limited awareness, potentially diminishing meditation's benefits. We investigated whether personalised high-precision neurofeedback (NF) can improve disengagement from mental activity during meditation and enhance meditation's outcomes. In a single-blind, controlled, longitudinal paradigm, 40 novice meditators underwent two consecutive days of meditation training with intermittent visual feedback from either their own (N=20) or a matched participant's (N=20; control group) posterior cingulate cortex (PCC) activity measured using 7 Tesla functional magnetic resonance imaging. During training, the experimental group showed stronger functional decoupling of PCC from dorsolateral prefrontal cortex, indicating better control over disengagement from mental processes during meditation. This led to greater improvements in emotional well-being and mindful awareness of mental processes during a week of real-world self-guided meditation. We provide compelling evidence supporting the utility of high-precision NF-guided meditation training to optimise real-world meditation practice for well-being.

Indexed as

7 Tesla functional MRIawarenessemotional well-beingmeditationneurofeedbackposterior cingulate cortex

Identifiers

PMID39484554
PMCPMC11527123

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.