Hebbian plasticity induced by temporally coincident BCI enhances post-stroke motor recovery

Functional electrical stimulation (FES) can support functional restoration of a paretic limb post-stroke. Hebbian plasticity depends on temporally coinciding pre- and post-synaptic activity. A tight temporal relationship between motor cortical (MC) activity associated with attempted movement and FES-generated visuo-proprioceptive feedback is hypothesized to enhance motor recovery. Using a brain-computer interface (BCI) to classify MC spectral power in electroencephalographic (EEG) signals to trigger FES-delivery with detection of movement attempts improved motor outcomes in chronic stroke patients. We hypothesized that heightened neural plasticity earlier post-stroke would further enhance corticomuscular functional connectivity and motor recovery. We compared subcortical non-dominant hemisphere stroke patients in BCI-FES and Random-FES (FES temporally independent of MC movement attempt detection) groups. The primary outcome measure was the Fugl-Meyer Assessment, Upper Extremity (FMA-UE). We recorded high-density EEG and transcranial magnetic stimulation-induced motor evoked potentials before and after treatment. The BCI group showed greater: FMA-UE improvement; motor evoked potential amplitude; beta oscillatory power and long-range temporal correlation reduction over contralateral MC; and corticomuscular coherence with contralateral MC. These changes are consistent with enhanced post-stroke motor improvement when movement is synchronized with MC activity reflecting attempted movement.

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Publication Details

Journal
Scientific Reports
Published
2024-08-12
DOI
https://doi.org/10.1038/s41598-024-69037-8
Citations
21
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
7.20

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Hebbian plasticity induced by temporally coincident BCI enhances post-stroke motor recovery

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Scientific Reports
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article

Hebbian plasticity induced by temporally coincident BCI enhances post-stroke motor recovery

Stefan Dürschmid, Catherine M. Sweeney‐Reed, Tessa Huchtemann, Almut Sickert, Christoph Reichert, Robert T. Knight, José del R. Millán, Slawomir J. Nasuto, Michael Sailer, Juliane Lamprecht, Johanna Krueger, Almir Huremovic, Richard Krauth, Serafeim Perdikis, Susanne Vogt, Sabine Lindquist, Michael Görtler, Hermann Hinrichs, Hans‐Jochen Heinze, I.-Chin Tsai
article en
21 citations

Abstract

Functional electrical stimulation (FES) can support functional restoration of a paretic limb post-stroke. Hebbian plasticity depends on temporally coinciding pre- and post-synaptic activity. A tight temporal relationship between motor cortical (MC) activity associated with attempted movement and FES-generated visuo-proprioceptive feedback is hypothesized to enhance motor recovery. Using a brain-computer interface (BCI) to classify MC spectral power in electroencephalographic (EEG) signals to trigger FES-delivery with detection of movement attempts improved motor outcomes in chronic stroke patients. We hypothesized that heightened neural plasticity earlier post-stroke would further enhance corticomuscular functional connectivity and motor recovery. We compared subcortical non-dominant hemisphere stroke patients in BCI-FES and Random-FES (FES temporally independent of MC movement attempt detection) groups. The primary outcome measure was the Fugl-Meyer Assessment, Upper Extremity (FMA-UE). We recorded high-density EEG and transcranial magnetic stimulation-induced motor evoked potentials before and after treatment. The BCI group showed greater: FMA-UE improvement; motor evoked potential amplitude; beta oscillatory power and long-range temporal correlation reduction over contralateral MC; and corticomuscular coherence with contralateral MC. These changes are consistent with enhanced post-stroke motor improvement when movement is synchronized with MC activity reflecting attempted movement.

Scientific ReportsVol. 14(1)
University of Essex (GB), University Hospital Münster (DE), Klinikum Ingolstadt (DE), Center for Behavioral Brain Sciences (DE), University Hospital Magdeburg (DE), Martin Luther University Halle-Wittenberg (DE), University of Reading (GB), The University of Texas at Austin (US), University of California, Berkeley (US), Otto-von-Guericke-Universität Magdeburg (DE), Leibniz Institute for Neurobiology (DE)
Otto von Guericke University Magdeburg
Openalex Percentile: Top 2%
EEG and Brain-Computer Interfaces
7.20
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