Evidence map›Paper›PMID 30446714›Full record

ArticleScientific reports2018

Effects of an Online Mind-Body Training Program on the Default Mode Network: An EEG Functional Connectivity Study.

Dasom Lee, Do-Hyung Kang, Na-Hyun Ha, Chang-Young Oh, Ulsoon Lee, Seung Wan Kang

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Observational
  2. Review
  3. Review
  4. Article
  5. Review
  6. Breath-Body-Mind Core Techniques to Manage Medical Student Stress.Journal of medical education and curricular development
    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

6 authors.

Dasom LeeDepartment of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea.
Do-Hyung KangDepartment of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea.
Na-Hyun HaDepartment of Brain-based Emotion Coaching, Global Cyber University, Seoul, Republic of Korea.
Chang-Young OhDepartment of Brain-based Emotion Coaching, Global Cyber University, Seoul, Republic of Korea.
Ulsoon LeeDepartment of Brain-based Emotion Coaching, Global Cyber University, Seoul, Republic of Korea.
Seung Wan KangData Center for Korean EEG, College of Nursing, Seoul National University, Seoul, Republic of Korea. drdemian@snu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Online mind-body training (MBT) programs can improve the psychological capabilities of practitioners. Although there has been a lot of effort to understand the neural mechanisms underlying the therapeutic effects of meditation, little is known about changes in electroencephalographic (EEG) functional connectivity that accompany mind-body training. The present study aimed to investigate how an online MBT program alters EEG functional connectivity in the default mode network (DMN). We assessed a group of healthcare providers, including 14 females who participated in the 4-week MBT program and 15 females who underwent a 4-week of waiting period. EEG data and information about psychological states were obtained at baseline and 4 weeks. The result was that the intervention group showed significant reductions in anxiety and trait anger that were accompanied by increased global DMN network strengths in the theta and alpha (but not beta and delta) frequency bands; these changes were not observed in the control group. Other variables including state anger, positive and negative affect, and self-esteem have not been changed over time in both groups. These findings suggest that practicing the mind-body training could have a relevance to the functional differences in network related to stress and anxiety reaction.

Indexed as

Education, DistanceMind-Body TherapiesAnalysis of VarianceBrainBrain MappingElectroencephalographyHumansMagnetic Resonance Imaging

Identifiers

PMID30446714
PMCPMC6240056

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Registered trials

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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.