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Associative cued asynchronous BCI induces cortical plasticity in stroke patients
OBJECTIVE: We propose a novel cue‐based asynchronous brain–computer interface(BCI) for neuromodulation via the pairing of endogenous motor cortical activity with the activation of somatosensory pathways. METHODS: The proposed BCI detects the intention to move from single‐trial EEG signals in real ti...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9082379/ https://www.ncbi.nlm.nih.gov/pubmed/35488791 http://dx.doi.org/10.1002/acn3.51551 |
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author | Niazi, Imran Khan Navid, Muhammad Samran Rashid, Usman Amjad, Imran Olsen, Sharon Haavik, Heidi Alder, Gemma Kumari, Nitika Signal, Nada Taylor, Denise Farina, Dario Jochumsen, Mads |
author_facet | Niazi, Imran Khan Navid, Muhammad Samran Rashid, Usman Amjad, Imran Olsen, Sharon Haavik, Heidi Alder, Gemma Kumari, Nitika Signal, Nada Taylor, Denise Farina, Dario Jochumsen, Mads |
author_sort | Niazi, Imran Khan |
collection | PubMed |
description | OBJECTIVE: We propose a novel cue‐based asynchronous brain–computer interface(BCI) for neuromodulation via the pairing of endogenous motor cortical activity with the activation of somatosensory pathways. METHODS: The proposed BCI detects the intention to move from single‐trial EEG signals in real time, but, contrary to classic asynchronous‐BCI systems, the detection occurs only during time intervals when the patient is cued to move. This cue‐based asynchronous‐BCI was compared with two traditional BCI modes (asynchronous‐BCI and offline synchronous‐BCI) and a control intervention in chronic stroke patients. The patients performed ankle dorsiflexion movements of the paretic limb in each intervention while their brain signals were recorded. BCI interventions decoded the movement attempt and activated afferent pathways via electrical stimulation. Corticomotor excitability was assessed using motor‐evoked potentials in the tibialis‐anterior muscle induced by transcranial magnetic stimulation before, immediately after, and 30 min after the intervention. RESULTS: The proposed cue‐based asynchronous‐BCI had significantly fewer false positives/min and false positives/true positives (%) as compared to the previously developed asynchronous‐BCI. Linear‐mixed‐models showed that motor‐evoked potential amplitudes increased following all BCI modes immediately after the intervention compared to the control condition (p <0.05). The proposed cue‐based asynchronous‐BCI resulted in the largest relative increase in peak‐to‐peak motor‐evoked potential amplitudes(141% ± 33%) among all interventions and sustained it for 30 min(111% ± 33%). INTERPRETATION: These findings prove the high performance of a newly proposed cue‐based asynchronous‐BCI intervention. In this paradigm, individuals receive precise instructions (cue) to promote engagement, while the timing of brain activity is accurately detected to establish a precise association with the delivery of sensory input for plasticity induction. |
format | Online Article Text |
id | pubmed-9082379 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90823792022-05-16 Associative cued asynchronous BCI induces cortical plasticity in stroke patients Niazi, Imran Khan Navid, Muhammad Samran Rashid, Usman Amjad, Imran Olsen, Sharon Haavik, Heidi Alder, Gemma Kumari, Nitika Signal, Nada Taylor, Denise Farina, Dario Jochumsen, Mads Ann Clin Transl Neurol Research Articles OBJECTIVE: We propose a novel cue‐based asynchronous brain–computer interface(BCI) for neuromodulation via the pairing of endogenous motor cortical activity with the activation of somatosensory pathways. METHODS: The proposed BCI detects the intention to move from single‐trial EEG signals in real time, but, contrary to classic asynchronous‐BCI systems, the detection occurs only during time intervals when the patient is cued to move. This cue‐based asynchronous‐BCI was compared with two traditional BCI modes (asynchronous‐BCI and offline synchronous‐BCI) and a control intervention in chronic stroke patients. The patients performed ankle dorsiflexion movements of the paretic limb in each intervention while their brain signals were recorded. BCI interventions decoded the movement attempt and activated afferent pathways via electrical stimulation. Corticomotor excitability was assessed using motor‐evoked potentials in the tibialis‐anterior muscle induced by transcranial magnetic stimulation before, immediately after, and 30 min after the intervention. RESULTS: The proposed cue‐based asynchronous‐BCI had significantly fewer false positives/min and false positives/true positives (%) as compared to the previously developed asynchronous‐BCI. Linear‐mixed‐models showed that motor‐evoked potential amplitudes increased following all BCI modes immediately after the intervention compared to the control condition (p <0.05). The proposed cue‐based asynchronous‐BCI resulted in the largest relative increase in peak‐to‐peak motor‐evoked potential amplitudes(141% ± 33%) among all interventions and sustained it for 30 min(111% ± 33%). INTERPRETATION: These findings prove the high performance of a newly proposed cue‐based asynchronous‐BCI intervention. In this paradigm, individuals receive precise instructions (cue) to promote engagement, while the timing of brain activity is accurately detected to establish a precise association with the delivery of sensory input for plasticity induction. John Wiley and Sons Inc. 2022-04-30 /pmc/articles/PMC9082379/ /pubmed/35488791 http://dx.doi.org/10.1002/acn3.51551 Text en © 2022 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals LLC on behalf of American Neurological Association. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Niazi, Imran Khan Navid, Muhammad Samran Rashid, Usman Amjad, Imran Olsen, Sharon Haavik, Heidi Alder, Gemma Kumari, Nitika Signal, Nada Taylor, Denise Farina, Dario Jochumsen, Mads Associative cued asynchronous BCI induces cortical plasticity in stroke patients |
title | Associative cued asynchronous BCI induces cortical plasticity in stroke patients |
title_full | Associative cued asynchronous BCI induces cortical plasticity in stroke patients |
title_fullStr | Associative cued asynchronous BCI induces cortical plasticity in stroke patients |
title_full_unstemmed | Associative cued asynchronous BCI induces cortical plasticity in stroke patients |
title_short | Associative cued asynchronous BCI induces cortical plasticity in stroke patients |
title_sort | associative cued asynchronous bci induces cortical plasticity in stroke patients |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9082379/ https://www.ncbi.nlm.nih.gov/pubmed/35488791 http://dx.doi.org/10.1002/acn3.51551 |
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