Abstract
We summarize the achievements of the EU FP7 funded project CONTRAST on cognitive rehabilitation after stroke. We developed a neuropsychological algorithm to assign patients to specific, personalized neurofeedback training to improve cognitive function, namely attention, declarative memory, inhibitory control, and working memory. Further, BCI technology was integrated into a remote control set-up, such that therapists can supervise simultaneously multiple patients at their home during BCI-based neurofeedback training. Phase I studies with subacute and chronic stroke patients demonstrated the potential of our approach such that patients were able to learn regulation of the respective brain activity and improved in the targeted cognitive function. Phase II studies are necessary to consolidate our findings.
This work was supported by the European ICT Program Project FP7-287320 (CONTRAST). This manuscript only reflects the authors’ views and funding agencies are not liable for any use that may be made of the information contained herein.
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Acknowledgments
These results were achieved within the CONTRAST project (http://www.contrast-project.eu/) consortium which comprised University of Würzburg, Germany, University of Graz, Austria, University of Luxemburg, Luxemburg, Fondazione Santalucia, Italy, MindMedia, The Netherlands, Hasomed, Germany, and T-Systems Iberia, Spain.
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Kübler, A., Kleih, S., Mattia, D. (2017). Brain Computer Interfaces for Cognitive Rehabilitation After Stroke. In: Ibáñez, J., González-Vargas, J., Azorín, J., Akay, M., Pons, J. (eds) Converging Clinical and Engineering Research on Neurorehabilitation II. Biosystems & Biorobotics, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-319-46669-9_138
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DOI: https://doi.org/10.1007/978-3-319-46669-9_138
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