Evidence map›Paper›PMID 42029842›Full record

ArticleBrain topography2026

Microstate Dynamics of Focused Attention Meditation.

Chuong Ngo, Erkin Bek, Monika Stasytytė, Lionel A Newman, Rodrigo Elizalde, Amit Kanthi, N K Manjunath, Christoph M Michel

Abstract read
In one paragraph

Article in Brain topography, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Chuong NgoAll Here SA, Geneva, Switzerland. chuong.ngo@allhere.org.
Erkin BekAll Here SA, Geneva, Switzerland.
Monika StasytytėAll Here SA, Geneva, Switzerland.
Lionel A NewmanAll Here SA, Geneva, Switzerland.
Rodrigo ElizaldeAll Here SA, Geneva, Switzerland.
Amit KanthiDivison of Life Sciences, Swami Vivekananda Yoga Anusandhana Samsthana, Bengaluru, India.
N K ManjunathDivison of Life Sciences, Swami Vivekananda Yoga Anusandhana Samsthana, Bengaluru, India.
Christoph M MichelAll Here SA, Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Focused-attention meditation provides a tractable model for examining how large-scale brain dynamics support attention and self-regulation. Using high-density EEG microstate analysis, we investigated how focused-attention meditation on the breath (Ānāpānasati) modulates intrinsic brain activity in 22 experienced practitioners, compared with baseline rest and deliberate mental imagery. Five canonical microstate classes (A-E) were identified. Meditation produced a robust reduction of Microstate C across coverage, duration, and occurrence, accompanied by increased presence of Microstates D and E (all Microstate x Condition interactions p < 0.0001). Source localization revealed that Microstate C was generated primarily in medial and lateral temporal regions including the hippocampus and parahippocampal cortex, whereas Microstate D involved posterior midline regions including the posterior cingulate cortex and precuneus, and Microstate E engaged frontoparietal and orbitolimbic networks. Together, these results indicate that focused-attention meditation reorganizes the temporal architecture of large-scale brain dynamics by downregulating microstate patterns associated with self-referential and memory-based processing while enhancing neural states supporting attentional stability and internal monitoring.

Indexed as

AttentionBrainMeditationAdultBrain MappingElectroencephalographyFemaleHumansMaleEEG microstatesFocused attention meditationLarge-scale brain dynamicsNeural correlates of attention

Identifiers

PMID42029842
PMCPMC13109216

What OpenQuestion holds

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LicenceCC BY
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 OpenQuestion graph.