Neurophysiological insights into sit-to-stand post stroke

EMG data supports the wider literature that confirms stroke survivors stand up using the same temporal muscle activation patterns compared to healthy controls, however peak activity of the vastus lateralis and biceps femoris are delayed. EEG data add new knowledge to our understanding of the central control of sit-to-stand transfers in a stroke population, highlighting differences in cortical activity from healthy controls, notably in ERSP patterns during sit to stand phases and in brain hemisphere asymmetry. Findings have relevance as a potential biomarker for stroke functional recovery and indicate that BCI-based applications of sit to stand may need to be trained individually in stroke survivors as they demonstrate variable cortical activation patterns compared to healthy controls.

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Institutions

Publication Details

Journal
Frontiers in Neuroscience
Published
2025-09-02
DOI
https://doi.org/10.3389/fnins.2025.1646498
Citations
1
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
1.43

Funders

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article

Neurophysiological insights into sit-to-stand post stroke

Olive C. Lennon, John Jairo Villarejo Mayor, Caitlin McDonald
1 citations
Frontiers in Neuroscience
EEG and Brain-Computer Interfaces
1.43
article

Neurophysiological insights into sit-to-stand post stroke

Olive C. Lennon, John Jairo Villarejo Mayor, Caitlin McDonald
article en
1 citations

Abstract

EMG data supports the wider literature that confirms stroke survivors stand up using the same temporal muscle activation patterns compared to healthy controls, however peak activity of the vastus lateralis and biceps femoris are delayed. EEG data add new knowledge to our understanding of the central control of sit-to-stand transfers in a stroke population, highlighting differences in cortical activity from healthy controls, notably in ERSP patterns during sit to stand phases and in brain hemisphere asymmetry. Findings have relevance as a potential biomarker for stroke functional recovery and indicate that BCI-based applications of sit to stand may need to be trained individually in stroke survivors as they demonstrate variable cortical activation patterns compared to healthy controls.

Frontiers in NeuroscienceVol. 19
University College Dublin (IE)
Irish Heart Foundation, Science Foundation Ireland
Openalex Percentile: Top 16%
EEG and Brain-Computer Interfaces
1.43
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