Tactile Imagery Increases Corticospinal Excitability Assessed by Single Pulse TMS

Motor imagery has long been recognized as an effective method to promote neurorehabilitation by triggering plastic changes in the sensorimotor pathways. Here, we investigated an alternative approach to motor imagery - tactile imagery. By using single-pulse transcranial magnetic stimulation (TMS), we evaluated motor evoked potentials (MEPs) to assess corticospinal excitability during kinesthetic motor imagery (kMI), tactile imagery (TI), and tactile stimulation (TS). We found that TI increased corticospinal excitability but to a lesser degree than kMI. TS did not affect corticospinal excitability. Altogether, our study demonstrates that TI influences corticospinal excitability and could serve as a complementary approach to motor kMI in rehabilitation of sensorimotor deficits.

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Published
2024-09-19
DOI
https://doi.org/10.1109/cnn63506.2024.10705828
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00

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article

Tactile Imagery Increases Corticospinal Excitability Assessed by Single Pulse TMS

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Tactile Imagery Increases Corticospinal Excitability Assessed by Single Pulse TMS

Aigul Nasibullina, Mikhail Lebedev, Nikolay Syrov, Alexander Kaplan, Lev Yakovlev, Mikhail Knyshenko
article en

Abstract

Motor imagery has long been recognized as an effective method to promote neurorehabilitation by triggering plastic changes in the sensorimotor pathways. Here, we investigated an alternative approach to motor imagery - tactile imagery. By using single-pulse transcranial magnetic stimulation (TMS), we evaluated motor evoked potentials (MEPs) to assess corticospinal excitability during kinesthetic motor imagery (kMI), tactile imagery (TI), and tactile stimulation (TS). We found that TI increased corticospinal excitability but to a lesser degree than kMI. TS did not affect corticospinal excitability. Altogether, our study demonstrates that TI influences corticospinal excitability and could serve as a complementary approach to motor kMI in rehabilitation of sensorimotor deficits.

Skolkovo Institute of Science and Technology (RU), Lomonosov Moscow State University (RU)
Russian Science Foundation
Openalex Percentile: Top 82%
EEG and Brain-Computer Interfaces
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