Evidence map›Paper›PMID 38137100›Full record

ArticleBrain sciences2023

Effect of Meditation on Brain Activity during an Attention Task: A Comparison Study of ASL and BOLD Task fMRI.

Yakun Zhang, Shichun Chen, Zongpai Zhang, Wenna Duan, Li Zhao, George Weinschenk, Wen-Ming Luh, Adam K Anderson, Weiying Dai

Open access · goldAbstract read
In one paragraph

Article in Brain sciences, 2023. 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, top 75% of its field
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, 0 citations in OpenAlex.

  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 at 4 institutions in 2 countries.

Yakun ZhangDepartment of Computer Science, State University of New York at Binghamton, Binghamton, NY 13902, USA.
Shichun ChenDepartment of Computer Science, State University of New York at Binghamton, Binghamton, NY 13902, USA.ORCID 0000-0003-3196-5932
Zongpai ZhangDepartment of Computer Science, State University of New York at Binghamton, Binghamton, NY 13902, USA.
Wenna DuanDepartment of Computer Science, State University of New York at Binghamton, Binghamton, NY 13902, USA.
Li ZhaoCollege of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310027, China.
George WeinschenkDepartment of Computer Science, State University of New York at Binghamton, Binghamton, NY 13902, USA.
Wen-Ming LuhNational Institute on Aging, National Institutes of Health, Baltimore, MD 21225, USA.
Adam K AndersonDepartment of Psychology, Cornell University, Ithaca, NY 14853, USA.
Weiying DaiDepartment of Computer Science, State University of New York at Binghamton, Binghamton, NY 13902, USA.
Binghamton University · USCornell University · USNational Institutes of Health · USZhejiang University · CN

Funding

Basal Forebrain connections to the heart and mind in healthy agingR01AG066430 · NIA · CORNELL UNIVERSITY · PI ANDERSON, ADAM K, DEROSA, EVE · 2020 to 2024
$2.7M
Functional MRI in SchizophreniaR21MH126260 · NIMH · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI DAI, WEIYING, HE, XIANG · 2022 to 2023
$467k
NIA NIH HHS R01 AG066430NIA NIH HHS R01AG066430NIMH NIH HHS R21 MH126260NIMH NIH HHS R21MH126260
6 · The paper itself

Abstract

Focused attention meditation (FAM) training has been shown to improve attention, but the neural basis of FAM on attention has not been thoroughly understood. Here, we aim to investigate the neural effect of a 2-month FAM training on novice meditators in a visual oddball task (a frequently adopted task to evaluate attention), evaluated with both ASL and BOLD fMRI. Using ASL, activation was increased in the middle cingulate (part of the salience network, SN) and temporoparietal (part of the frontoparietal network, FPN) regions; the FAM practice time was negatively associated with the longitudinal changes in activation in the medial prefrontal (part of the default mode network, DMN) and middle frontal (part of the FPN) regions. Using BOLD, the FAM practice time was positively associated with the longitudinal changes of activation in the inferior parietal (part of the dorsal attention network, DAN), dorsolateral prefrontal (part of the FPN), and precentral (part of the DAN) regions. The effect sizes for the activation changes and their association with practice time using ASL are significantly larger than those using BOLD. Our study suggests that FAM training may improve attention via modulation of the DMN, DAN, SN, and FPN, and ASL may be a sensitive tool to study the FAM effect on attention.

Indexed as

arterial spin labelingdefault mode networkdorsal attention networkfunctional magnetic resonance imagingmeditationtask fMRI

Identifiers

PMID38137100
PMCPMC10741430
OpenAlexW4389142947

What OpenQuestion holds

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LicenceCC BY
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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.