Proficiency in motor imagery is linked to the lateralization of focused ERD patterns and beta PDC

Motor imagery proficiency is related to the focused and lateralized event-related <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>α</mml:mi></mml:math> desynchronization patterns and the lateralization of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>β</mml:mi></mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>γ</mml:mi></mml:math> PDC. Future analysis of these features could allow complimenting the information for assessment of subject-specific BCI control and the prediction of the effectiveness of motor-imagery training.

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Publication Details

Journal
Journal of NeuroEngineering and Rehabilitation
Published
2025-02-20
DOI
https://doi.org/10.1186/s12984-025-01571-6
Citations
6
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
8.59

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article

Proficiency in motor imagery is linked to the lateralization of focused ERD patterns and beta PDC

Umberto León-Domínguez, I. N. Angulo-Sherman, Antonio Martínez‐Torteya, M Martínez-Pérez et al.
6 citations
Journal of NeuroEngineering and Rehabilitation
EEG and Brain-Computer Interfaces
8.59
article

Proficiency in motor imagery is linked to the lateralization of focused ERD patterns and beta PDC

Umberto León-Domínguez, I. N. Angulo-Sherman, Antonio Martínez‐Torteya, M Martínez-Pérez, Gilberto Andrés Fragoso-González
article en
6 citations

Abstract

Motor imagery proficiency is related to the focused and lateralized event-related <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>α</mml:mi></mml:math> desynchronization patterns and the lateralization of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>β</mml:mi></mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>γ</mml:mi></mml:math> PDC. Future analysis of these features could allow complimenting the information for assessment of subject-specific BCI control and the prediction of the effectiveness of motor-imagery training.

Journal of NeuroEngineering and RehabilitationVol. 22(1)
University of Monterrey (MX)
Universidad de Monterrey
Openalex Percentile: Top 2%
EEG and Brain-Computer Interfaces
8.59
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