Evidence map›Paper›PMID 26270552›Full record

ArticlePloS one2015

Brain Networks Responsible for Sense of Agency: An EEG Study.

Suk Yun Kang, Chang-Hwan Im, Miseon Shim, Fatta B Nahab, Jihye Park, Do-Won Kim, John Kakareka, Nathanial Miletta, Mark Hallett

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
–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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
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  9. Review
  10. Temporal Dynamics of Brain Activity Predicting Sense of Agency over Muscle Movements.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
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  20. The Sense of Agency in Driving Automation.Frontiers in psychology · 2019
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Suk Yun KangDepartment of Neurology, Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Hwaseong Si, Gyeonggi-Do, Republic of Korea; Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, United States of America.
Chang-Hwan ImDepartment of Biomedical Engineering, Hanyang University, Seoul, Republic of Korea.
Miseon ShimDepartment of Biomedical Engineering, Hanyang University, Seoul, Republic of Korea.
Fatta B NahabHuman Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, United States of America; Department of Neurology, University of California San Diego, San Diego, California, United States of America.
Jihye ParkDepartment of Biomedical Engineering, Yonsei University, Wonju-si, Kangwon-do, Republic of Korea.
Do-Won KimDepartment of Biomedical Engineering, Hanyang University, Seoul, Republic of Korea; Department of Biomedical Engineering, Yonsei University, Wonju-si, Kangwon-do, Republic of Korea.
John KakarekaSignal Processing and Instrumentation Section, Division of Computational Bioscience, Center for Information Technology, National Institutes of Health, Bethesda, Maryland, United States of America.
Nathanial MilettaHuman Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, United States of America.
Mark HallettHuman Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, United States of America.

Funding

Signal Processing And Instrumentation SectionZIACT000261 · CIT · CENTER FOR INFORMATION TECHNOLOGY · PI POHIDA, THOMAS J · 2009 to 2021
$16.7M
Intramural NIH HHS
6 · The paper itself

Abstract

backgroundSelf-agency (SA) is a person's feeling that his action was generated by himself. The neural substrates of SA have been investigated in many neuroimaging studies, but the functional connectivity of identified regions has rarely been investigated. The goal of this study is to investigate the neural network related to SA.

methodsSA of hand movements was modulated with virtual reality. We examined the cortical network relating to SA modulation with electroencephalography (EEG) power spectrum and phase coherence of alpha, beta, and gamma frequency bands in 16 right-handed, healthy volunteers.

resultsIn the alpha band, significant relative power changes and phase coherence of alpha band were associated with SA modulation. The relative power decrease over the central, bilateral parietal, and right temporal regions (C4, Pz, P3, P4, T6) became larger as participants more effectively controlled the virtual hand movements. The phase coherence of the alpha band within frontal areas (F7-FP2, F7-Fz) was directly related to changes in SA. The functional connectivity was lower as the participants felt that they could control their virtual hand. In the other frequency bands, significant phase coherences were observed in the frontal (or central) to parietal, temporal, and occipital regions during SA modulation (Fz-O1, F3-O1, Cz-O1, C3-T4L in beta band; FP1-T6, FP1-O2, F7-T4L, F8-Cz in gamma band).

conclusionsOur study suggests that alpha band activity may be the main neural oscillation of SA, which suggests that the neural network within the anterior frontal area may be important in the generation of SA.

Indexed as

AdultBrainConnectomeElectroencephalographyFemaleHealthy VolunteersHumansMaleSelf EfficacyYoung Adult

Identifiers

PMID26270552
PMCPMC4536203

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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.