Evidence map›Paper›PMID 28580720›Full record

ArticleHuman brain mapping2017

Learned control of inter-hemispheric connectivity: Effects on bimanual motor performance.

Diljit Singh Kajal, Christoph Braun, Jürgen Mellinger, Matthew D Sacchet, Sergio Ruiz, Eberhard Fetz, Niels Birbaumer, Ranganatha Sitaram

Open access · greenAbstract read
In one paragraph

Article in Human brain mapping, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

16 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Brain-computer interface-based neurofeedback training enables transferable control of cortical state switching in humans.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Differential Beta and Gamma Activity Modulation during Unimanual and Bimanual Motor Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
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  12. Spontaneous Network Coupling Enables Efficient Task Performance without Local Task-Induced Activations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
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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 at 7 institutions in 5 countries.

Diljit Singh KajalInstitute of Medical Psychology and Behavioral Neurobiology, Tübingen, 72076, Germany.ORCID 0000-0002-0176-5342
Christoph BraunMEG-Center, University of Tübingen, Tübingen, 72076, Germany.ORCID 0000-0002-7836-4010
Jürgen MellingerMax Planck Institute for Intelligent Systems (Department of Empirical Inference), Spemannstr. 41, Tübingen, 72076, Germany.
Matthew D SacchetDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, 94305-5717, USA.
Sergio RuizInstitute of Medical Psychology and Behavioral Neurobiology, Tübingen, 72076, Germany.
Eberhard FetzDepartment of Physiology and Biophysics, University of Washington, Seattle, WA, 98195-7290, USA.
Niels BirbaumerInstitute of Medical Psychology and Behavioral Neurobiology, Tübingen, 72076, Germany.
Ranganatha SitaramDepartamento de Psiquiatría, Escuela de Medicina, Centro Interdisciplinario de Neurociencias, Pontificia Universidad Catolica de Chile, Santiago, Chile.
Pontificia Universidad Católica de Chile · CLBernstein Center for Computational Neuroscience Tübingen · DEIRCCS San Camillo Hospital · ITMax Planck Institute for Intelligent Systems · DEStanford University · USUniversity of Trento · ITUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bimanual movements involve the interactions between both primary motor cortices. These interactions are assumed to involve phase-locked oscillatory brain activity referred to as inter-hemispheric functional coupling. So far, inter-hemispheric functional coupling has been investigated as a function of motor performance. These studies report mostly a negative correlation between the performance in motor tasks and the strength of functional coupling. However, correlation might not reflect a causal relationship. To overcome this limitation, we opted for an alternative approach by manipulating the strength of inter-hemispheric functional coupling and assessing bimanual motor performance as a dependent variable. We hypothesize that an increase/decrease of functional coupling deteriorates/facilitates motor performance in an out-of-phase bimanual finger-tapping task. Healthy individuals were trained to volitionally regulate functional coupling in an operant conditioning paradigm using real-time magnetoencephalography neurofeedback. During operant conditioning, two discriminative stimuli were associated with upregulation and downregulation of functional coupling. Effects of training were assessed by comparing motor performance prior to (pre-test) and after the training (post-test). Participants receiving contingent feedback learned to upregulate and downregulate functional coupling. Comparing motor performance, as indexed by the ratio of tapping speed for upregulation versus downregulation trials, no change was found in the control group between pre- and post-test. In contrast, the group receiving contingent feedback evidenced a significant decrease of the ratio implicating lower tapping speed with stronger functional coupling. Results point toward a causal role of inter-hemispheric functional coupling for the performance in bimanual tasks. Hum Brain Mapp 38:4353-4369, 2017. © 2017 Wiley Periodicals, Inc.

Indexed as

NeurofeedbackAdultConditioning, OperantFemaleFunctional LateralityHandHumansLearningMagnetoencephalographyMaleMotor CortexMotor SkillsNeuronal PlasticityVolitionbehaviorbraincomputer interfacecoherencemagnetoencephalographymotorneurofeedback

Identifiers

PMID28580720
PMCPMC6867064
OpenAlexW2621488556

What OpenQuestion holds

Textmetadata
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.