Beta rhythm events predict corticospinal motor output

Sara J. Hussain; Leonardo G. Cohen; Marlene Bönstrup

doi:10.1038/s41598-019-54706-w

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Beta rhythm events predict corticospinal motor output

Journal article

Open access

Peer reviewed

Beta rhythm events predict corticospinal motor output

Sara J. Hussain, Leonardo G. Cohen and Marlene Bönstrup

Scientific reports, Vol.9(1), pp.18305-10

12/04/2019

DOI: 10.1038/s41598-019-54706-w

PMCID: PMC6892943

PMID: 31797890

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Abstract

The beta rhythm (15–30 Hz) is a prominent signal of sensorimotor cortical activity. This rhythm is not sustained but occurs non-rhythmically as brief events of a few (1–2) oscillatory cycles. Recent work on the relationship between these events and sensorimotor performance suggests that they are the biologically relevant elements of the beta rhythm. However, the influence of these events on corticospinal excitability, a mechanism through which the primary motor cortex controls motor output, is unknown. Here, we addressed this question by evaluating relationships between beta event characteristics and corticospinal excitability in healthy adults. Results show that the number, amplitude, and timing of beta events preceding transcranial magnetic stimulation (TMS) each significantly predicted motor-evoked potential (MEP) amplitudes. However, beta event characteristics did not explain additional MEP amplitude variance beyond that explained by mean beta power alone, suggesting that conventional beta power measures and beta event characteristics similarly captured natural variation in human corticospinal excitability. Despite this lack of additional explained variance, these results provide first evidence that endogenous beta oscillatory events shape human corticospinal excitability.

631/378/2632/1663

631/443/376

Article

Humanities and Social Sciences

multidisciplinary

Science

Science (multidisciplinary)

Details

Title: Subtitle: Beta rhythm events predict corticospinal motor output
Creators: Sara J. Hussain - National Institute of Neurological Disorders and Stroke
Leonardo G. Cohen - National Institutes of Health
Marlene Bönstrup - Leipzig University
Resource Type: Journal article
Publication Details: Scientific reports, Vol.9(1), pp.18305-10
DOI: 10.1038/s41598-019-54706-w
PMID: 31797890
PMCID: PMC6892943
NLM abbreviation: Sci Rep
ISSN: 2045-2322
eISSN: 2045-2322
Publisher: Nature Publishing Group UK
Grant note: NINDS Intramural Research Program
Language: English
Date published: 12/04/2019
Academic Unit: Health, Sport, and Human Physiology
Record Identifier: 9984948046602771

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