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Instantaneous neural effects of continual visual neurofeedback after stroke
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. ((Neuroengineering group))
(Rehabiliteringsmedicinska Universitetskliniken, Danderyds sjukhus.)
(Rehabiliteringsmedicinska Universitetskliniken, Danderyds sjukhus.)
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. ((Neuroengineering group))
(English)Manuscript (preprint) (Other academic)
Abstract [en]

Objective: Neurofeedback training using motor imagery-based brain-computer interfaces (MI-BCIs) show promising but variable outcomes in chronic stroke rehabilitation. However, little is known on the dual task effects of feedback when simultaneously performing a mental task. This becomes especially relevant for cognitively challenged patient groups. This study aims to investigate instantaneous effects of continual visual feedback on neurophysiological activity while stroke patients practiced MI during BCI training.

Approach: Fourteen chronic stroke patients participated in a 10-week long intervention, with 4 weeks of intense MI-BCI training. During each MI training trial, patients were instructed to mentally imagine either opening or closing their paretic hand while being provided continually updated visual neurofeedback only during the last part of the trial (after 4 seconds). We analysed patient-specific spatial and temporal dynamics of peak frequency power related to MI with and without feedback, and analysed the correlation of changes to blink rate, and clinical motor- and cognitive abilities.   

Main results: Individual MI-related peak frequency of event-related desynchronisation (ERD) across sensorimotor areas was mainly found within the Alpha band. Two peak ERD patient profiles were observed: dominant ipsilesional (43\% of patients) or contralesional ERD (57\% of patients). Independent of ERD profile, we show weakened ERD in anticipation of visual feedback, followed by a restrengthening shortly after feedback onset, not significantly different from the prior no feedback phase. However, bilateral occipital decrease in individual peak frequency suggests increased information processing shortly after feedback onset. Furthermore, ERD was weakened during the last part of the trial (with feedback). This reduction was correlated to increased blink rate, and we show a tendency of higher cognitive ability for patients with greater reduction in ERD during the end of the trial. These results indicate that visual feedback does not interfere, nor significantly help the practice of MI during BCI training. 

Significance: This study provides insight in the temporal and spatial dynamics of peak frequency ERD in response to visual feedback while stroke patients practice MI during BCI training.  We believe the results will contribute to building a solid foundation of knowledge and understanding for the informed development of BCI technology in stroke rehabilitation. 

Keywords [en]
Brain computer interface, neurofeedback
National Category
Neurosciences
Research subject
Electronics
Identifiers
URN: urn:nbn:se:mdh:diva-74120OAI: oai:DiVA.org:mdh-74120DiVA, id: diva2:2011491
Projects
Motorisk föreställning och återkoppling i strokerehabilitering
Funder
Promobilia foundationAvailable from: 2025-11-04 Created: 2025-11-04 Last updated: 2025-11-17Bibliographically approved
In thesis
1. Rehabilitating the motor circuits of the brain – Towards adaptive BCI-training after stroke
Open this publication in new window or tab >>Rehabilitating the motor circuits of the brain – Towards adaptive BCI-training after stroke
2025 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Loss of motor function after stroke substantially impacts the day-to-day life. In addition, the rehabilitation process is demanding and can require difficult physical exercises. Motor Imagery (MI), a technique where the user imagines the sensation of performing a movement, has been shown to activate similar brain activity as physically performing the movement. Brain Computer Interfaces (BCIs) with MI-based neurofeedback is a promising approach for rehabilitating loss of motor function without the use of physical exercise. For this technology to be used in rehabilitation, it is crucial that the neurofeedback reflects underlying neural activity that is functionally relevant for motor recovery. To this end, I believe personalisation is key. Therefore, in this thesis I have investigated important components for personalisation of a MI-BCI system for post-stroke rehabilitation. Specifically, I have 1) explored a distance-to-bound approach for adapting the BCI task difficulty, 2) investigated the impact of continual visual feedback on MI-related cortical activity, and 3) analysed the feasibility of extracting a novel motor-related feature.

I suggest that adjusting the difficulty of an MI-BCI, using distance-to-bound, targets stronger Event Related Desynchronisation (ERD) during neurofeedback training. However, strong ERD does not directly correlate with improved motor function, highlighting the importance for personalisation. I further provide evidence, in a group of stroke patients,  that continual visual feedback does not interfere with the MI-related cortical activity, nor does it lead to stronger activity. Finally, I show that transient heterogenous features in the beta band, so called beta bursts can be extracted from both the lesioned and healthy hemispheres of stroke patients. These results contribute both methodologically and scientifically in building a stronger foundation of knowledge for the development of MI-BCI rehabilitation after stroke.

However, there is still need for more research to fully understand the complexity of neurofeedback stroke rehabilitation. I believe this thesis sheds light on important considerations when developing the different components of a BCI designed to promote motor recovery after stroke.

Place, publisher, year, edition, pages
Västerås: Mälardalen University, 2025
Series
Mälardalen University Press Licentiate Theses, ISSN 1651-9256 ; 376
Keywords
Brain computer interface, motor imagery, neurofeedback, eletroencephalogram, stroke rehabilitation
National Category
Neurosciences
Research subject
Electronics
Identifiers
urn:nbn:se:mdh:diva-74121 (URN)978-91-7485-729-0 (ISBN)
Presentation
2025-12-12, My, Mälardalens universitet, Västerås, 09:15 (English)
Opponent
Supervisors
Funder
Promobilia foundationThe Kamprad Family Foundation
Available from: 2025-11-05 Created: 2025-11-04 Last updated: 2025-11-21Bibliographically approved

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Johansson-Alvarez, Martin

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