Exploring Self-Paced Embodiable Neurofeedback for Post-stroke Motor Rehabilitation
Neurofeedback-guided motor-imagery training (NF-MIT) has been proposed as a promising intervention following upper limb motor impairment. In this intervention, paretic stroke patients receive online feedback about their brain activity while conducting a motor-imagery (MI) task with the paretic limb....
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Published in | Frontiers in human neuroscience Vol. 13; p. 461 |
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Main Authors | , , , , , , |
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Language | English |
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Abstract | Neurofeedback-guided motor-imagery training (NF-MIT) has been proposed as a promising intervention following upper limb motor impairment. In this intervention, paretic stroke patients receive online feedback about their brain activity while conducting a motor-imagery (MI) task with the paretic limb. Typically, the feedback provided in NF-MIT protocols is an abstract visual signal based on a fixed trial. Here we developed a self-paced NF-MIT paradigm with an embodiable feedback signal (EFS), which was designed to resemble the content of the mental act as closely as possible. To this end, the feedback was delivered
an embodiable, anthropomorphic robotic hand (RH), which was integrated into a closed-looped EEG-based brain-computer interface (BCI). Whenever the BCI identified a new instance of a hand-flexion or hand-extension imagination by the participant, the RH carried out the corresponding movement with minimum delay. Nine stroke patients and nine healthy participants were instructed to control RH movements as accurately as possible, using mental activity alone. We evaluated the general feasibility of our paradigm on electrophysiological, subjective and performance levels. Regarding electrophysiological measures, individuals showed the predicted event-related desynchronization (ERD) patterns over sensorimotor brain areas. On the subjective level, we found that most individuals integrated the RH into their body scheme. With respect to RH control, none of our participants achieved a high level of control, but most managed to control the RH actions to some degree. Importantly, patients and controls achieved similar performance levels. The results support the view that self-paced embodiable NF-MIT is feasible for stroke patients and can complement classical NF-MIT. |
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AbstractList | Neurofeedback-guided motor-imagery training (NF-MIT) has been proposed as a promising intervention following upper limb motor impairment. In this intervention, paretic stroke patients receive online feedback about their brain activity while conducting a motor-imagery (MI) task with the paretic limb. Typically, the feedback provided in NF-MIT protocols is an abstract visual signal based on a fixed trial. Here we developed a self-paced NF-MIT paradigm with an embodiable feedback signal (EFS), which was designed to resemble the content of the mental act as closely as possible. To this end, the feedback was delivered
via
an embodiable, anthropomorphic robotic hand (RH), which was integrated into a closed-looped EEG-based brain-computer interface (BCI). Whenever the BCI identified a new instance of a hand-flexion or hand-extension imagination by the participant, the RH carried out the corresponding movement with minimum delay. Nine stroke patients and nine healthy participants were instructed to control RH movements as accurately as possible, using mental activity alone. We evaluated the general feasibility of our paradigm on electrophysiological, subjective and performance levels. Regarding electrophysiological measures, individuals showed the predicted event-related desynchronization (ERD) patterns over sensorimotor brain areas. On the subjective level, we found that most individuals integrated the RH into their body scheme. With respect to RH control, none of our participants achieved a high level of control, but most managed to control the RH actions to some degree. Importantly, patients and controls achieved similar performance levels. The results support the view that self-paced embodiable NF-MIT is feasible for stroke patients and can complement classical NF-MIT. Neurofeedback-guided motor-imagery training (NF-MIT) has been proposed as a promising intervention following upper limb motor impairment. In this intervention, paretic stroke patients receive online feedback about their brain activity while conducting a motor-imagery (MI) task with the paretic limb. Typically, the feedback provided in NF-MIT protocols is an abstract visual signal based on a fixed trial. Here we developed a self-paced NF-MIT paradigm with an embodiable feedback signal (EFS), which was designed to resemble the content of the mental act as closely as possible. To this end, the feedback was delivered via an embodiable, anthropomorphic robotic hand (RH), which was integrated into a closed-looped EEG-based brain-computer interface (BCI). Whenever the BCI identified a new instance of a hand-flexion or hand-extension imagination by the participant, the RH carried out the corresponding movement with minimum delay. Nine stroke patients and nine healthy participants were instructed to control RH movements as accurately as possible, using mental activity alone. We evaluated the general feasibility of our paradigm on electrophysiological, subjective and performance levels. Regarding electrophysiological measures, individuals showed the predicted event-related desynchronization (ERD) patterns over sensorimotor brain areas. On the subjective level, we found that most individuals integrated the RH into their body scheme. With respect to RH control, none of our participants achieved a high level of control, but most managed to control the RH actions to some degree. Importantly, patients and controls achieved similar performance levels. The results support the view that self-paced embodiable NF-MIT is feasible for stroke patients and can complement classical NF-MIT. Neurofeedback-guided motor-imagery training (NF-MIT) has been proposed as a promising intervention following upper limb motor impairment. In this intervention, paretic stroke patients receive online feedback about their brain activity while conducting a motor-imagery (MI) task with the paretic limb. Typically, the feedback provided in NF-MIT protocols is an abstract visual signal based on a fixed trial. Here we developed a self-paced NF-MIT paradigm with an embodiable feedback signal, which was designed to resemble the content of the mental act as closely as possible. To this end, feedback was delivered via an embodiable, anthropomorphic robotic hand (RH), which was integrated into a closed-looped EEG-based brain computer interface (BCI). Whenever the BCI identified a new instance of a hand-flexion or hand-extension imagination by the participant, the RH carried out the corresponding movement with minimum delay. Nine stroke patients and nine healthy participants were instructed to control RH movements as accurately as possible, using mental activity alone. We evaluated the general feasibility of our paradigm on electrophysiological, subjective and performance levels. Regarding electrophysiological measures, individuals showed the predicted event-related desynchronization patterns over sensorimotor brain areas. On the subjective level, we found that most individuals integrated the RH into their body scheme. With respect to RH control, none of our participants achieved a high level of control, but most managed to control the RH actions to some degree. Importantly, patients and controls achieved similar performance levels. The results support the view that self-paced embodiable NF-MIT is feasible for stroke patients and can complement classical NF-MIT. Neurofeedback-guided motor-imagery training (NF-MIT) has been proposed as a promising intervention following upper limb motor impairment. In this intervention, paretic stroke patients receive online feedback about their brain activity while conducting a motor-imagery (MI) task with the paretic limb. Typically, the feedback provided in NF-MIT protocols is an abstract visual signal based on a fixed trial. Here we developed a self-paced NF-MIT paradigm with an embodiable feedback signal (EFS), which was designed to resemble the content of the mental act as closely as possible. To this end, the feedback was delivered an embodiable, anthropomorphic robotic hand (RH), which was integrated into a closed-looped EEG-based brain-computer interface (BCI). Whenever the BCI identified a new instance of a hand-flexion or hand-extension imagination by the participant, the RH carried out the corresponding movement with minimum delay. Nine stroke patients and nine healthy participants were instructed to control RH movements as accurately as possible, using mental activity alone. We evaluated the general feasibility of our paradigm on electrophysiological, subjective and performance levels. Regarding electrophysiological measures, individuals showed the predicted event-related desynchronization (ERD) patterns over sensorimotor brain areas. On the subjective level, we found that most individuals integrated the RH into their body scheme. With respect to RH control, none of our participants achieved a high level of control, but most managed to control the RH actions to some degree. Importantly, patients and controls achieved similar performance levels. The results support the view that self-paced embodiable NF-MIT is feasible for stroke patients and can complement classical NF-MIT. |
Author | Debener, Stefan Bongartz, Edith Müller, Helge H O Thorne, Jeremy D Spychala, Nadine Braun, Niclas Philipsen, Alexandra |
AuthorAffiliation | 2 Department of Psychiatry and Psychotherapy, University of Bonn , Bonn , Germany 1 Neuropsychology Lab, Department of Psychology, University of Oldenburg , Oldenburg , Germany |
AuthorAffiliation_xml | – name: 2 Department of Psychiatry and Psychotherapy, University of Bonn , Bonn , Germany – name: 1 Neuropsychology Lab, Department of Psychology, University of Oldenburg , Oldenburg , Germany |
Author_xml | – sequence: 1 givenname: Nadine surname: Spychala fullname: Spychala, Nadine organization: Neuropsychology Lab, Department of Psychology, University of Oldenburg, Oldenburg, Germany – sequence: 2 givenname: Stefan surname: Debener fullname: Debener, Stefan organization: Neuropsychology Lab, Department of Psychology, University of Oldenburg, Oldenburg, Germany – sequence: 3 givenname: Edith surname: Bongartz fullname: Bongartz, Edith organization: Neuropsychology Lab, Department of Psychology, University of Oldenburg, Oldenburg, Germany – sequence: 4 givenname: Helge H O surname: Müller fullname: Müller, Helge H O organization: Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany – sequence: 5 givenname: Jeremy D surname: Thorne fullname: Thorne, Jeremy D organization: Neuropsychology Lab, Department of Psychology, University of Oldenburg, Oldenburg, Germany – sequence: 6 givenname: Alexandra surname: Philipsen fullname: Philipsen, Alexandra organization: Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany – sequence: 7 givenname: Niclas surname: Braun fullname: Braun, Niclas organization: Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32038198$$D View this record in MEDLINE/PubMed |
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Keywords | sense of ownership rubber hand illusion brain computer interface motor imagery sense of agency stroke neurofeedback |
Language | English |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Edited by: Mariella Pazzaglia, Sapienza University of Rome, Italy Reviewed by: J. Ignacio Serrano, Spanish National Research Council (CSIC), Spain; Giulia Galli, Santa Lucia Foundation (IRCCS), Italy; Yongtian He, University of Houston, United States Specialty section: This article was submitted to Brain-Computer Interfaces, a section of the journal Frontiers in Human Neuroscience |
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SubjectTerms | Brain brain computer interface Computer applications EEG Feedback Human Neuroscience Implants Mental task performance motor imagery neurofeedback Patient assessment Rehabilitation sense of agency sense of ownership Sensorimotor system Stroke Studies Synchronization |
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Title | Exploring Self-Paced Embodiable Neurofeedback for Post-stroke Motor Rehabilitation |
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