Evidence map›Paper›PMID 34496400›Full record

ArticleJournal of cognitive neuroscience2021

Behavioral Induction of a High Beta State in Sensorimotor Cortex Leads to Movement Slowing.

Vignesh Muralidharan, Adam R Aron

Abstract read
In one paragraph

Article in Journal of cognitive neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Beta Oscillations and Pupil-Linked Arousal Regulate the Updating of Cognitive Models.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
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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

2 authors.

Vignesh MuralidharanUniversity of California, San Diego.ORCID 0000-0003-0947-5988
Adam R AronUniversity of California, San Diego.

Funding

How inhibitory control prevents thought intrusions and sensory and motor provocationsR01DA026452 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ARON, ADAM ROBERT · 2009 to 2021
$4.0M
NIDA NIH HHS R01 DA026452NIH HHS DA026452
6 · The paper itself

Abstract

The sensorimotor beta rhythm (∼13-30 Hz) is commonly seen in relation to movement. It is important to understand its functional/behavioral significance in both health and disease. Sorting out competing theories of sensorimotor beta is hampered by a paucity of experimental protocols in humans that manipulate/induce beta oscillations and test their putative effects on concurrent behavior. Here, we developed a novel behavioral paradigm to generate beta and then test its functional relevance. In two human experiments with scalp EEG (n = 11 and 15), we show that a movement instruction generates a high beta state (postmovement beta rebound), which then slows down subsequent movements required during that state. We also show that this high initial beta rebound related to reduced mu-beta desynchronization for the subsequent movement and, further, that the temporal features of the beta state, that is, the beta bursts, related to the degree of slowing. These results suggest that increased sensorimotor beta in the postmovement period corresponds to an inhibitory state-insofar as it retards subsequent movement. By demonstrating a behavioral method by which people can proactively create a high beta state, our paradigm provides opportunities to test the effect of this state on sensations and affordances. It also suggests related experiments using motor imagery rather than actual movement, and this could later be clinically relevant, for example, in tic disorder.

Indexed as

Sensorimotor CortexBeta RhythmElectroencephalographyHumansMovement

Identifiers

PMID34496400
PMCPMC9034876

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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.