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.
Authors
- Stefan Dürschmid (ORCID: https://orcid.org/0000-0001-6686-976X)
- Catherine M. Sweeney‐Reed (ORCID: https://orcid.org/0000-0002-3684-1245)
- Tessa Huchtemann (ORCID: https://orcid.org/0009-0000-7805-287X)
- Almut Sickert
- Christoph Reichert (ORCID: https://orcid.org/0000-0002-8649-9791)
- Robert T. Knight (ORCID: https://orcid.org/0000-0001-8686-1685)
- José del R. Millán (ORCID: https://orcid.org/0000-0001-5819-1522)
- Slawomir J. Nasuto (ORCID: https://orcid.org/0000-0001-9414-9049)
- Michael Sailer (ORCID: https://orcid.org/0000-0001-6831-5429)
- Juliane Lamprecht (ORCID: https://orcid.org/0000-0002-2758-6334)
- Johanna Krueger
- Almir Huremovic
- Richard Krauth
- Serafeim Perdikis (ORCID: https://orcid.org/0000-0003-2033-2486)
- Susanne Vogt (ORCID: https://orcid.org/0000-0003-4238-3516)
- Sabine Lindquist
- Michael Görtler
- Hermann Hinrichs
- Hans‐Jochen Heinze
- I.-Chin Tsai
Institutions
- 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)
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
Funders
- Otto von Guericke University Magdeburg