Home-based hybrid brain-machine interface (BMI) training for neurorehabilitation of stroke

Abstract

Event Abstract Back to Event Home-based hybrid brain-machine interface (BMI) training for neurorehabilitation of stroke Surjo R. Soekadar1, 2*, Matthias Witkowski1, 2, Leonardo G. Cohen3 and Niels Birbaumer2, 4 1 University Hospital Tübingen, Department of Psychiatry and Psychotherapy, Germany 2 University Tübingen, Institute of Medical Psychology and Behavioral Neurobiology, Germany 3 NIH, NINDS, United States 4 Ospedale San Camillo (IRCCS), Italy Paralysis following stroke is among the leading causes of persisting disability in the adulthood worldwide. In more severe cases affecting up to 50% of all stroke survivors, motor recovery is slow or non-existent. Currently, there is no standardized or accepted treatment for these patients. The development of brain-machine interfaces (BMIs) provides two new strategies to overcome stroke-related motor paralysis: First, BMIs could facilitate neuroplasticity, thus enhancing motor learning and motor recovery through brain training (rehabilitative or biofeedback BMI). Second, BMIs can establish continuous brain-control of robotic devices or functional electric stimulation (FES) that assist in performing daily life activities (assistive BMI) [1]. A major challenge in rehabilitative BMIs is to identify, establish and maintain optimal training schedules while fostering generalization of trained skills. In this context, combination of both strategies pursuit in rehabilitative and assistive BMIs seems particularly promising for restoration of normal motor function. Here we introduce a first prototype allowing for home-based hybrid BMI training that meets these criteria. Patients learn to use ipsilesional motor cortical activity and eye movements [2,3] to grasp and manipulate various objects relevant for daily life activities, e.g. a cell phone, holding a fork or a cup. This system may pave the way for investigating the efficacy of hybrid BMIs in the rehabilitation of severe stroke in the home environment of larger patient populations. Acknowledgements Supported by the Deutsche Forschungsgemeinschaft (DFG, SO932-2), the BMBF (Förderkennzeichen 01GQ0831 & 16SV5840) and the European Commission under the project WAY (#288551) and AIDE (#645322) References [1] Soekadar SR, Birbaumer N, Slutzky MW, Cohen LG. Brain-Machine Interfaces In Neurorehabilitation of Stroke. Neurobiol Dis. 2014; doi: 10.1016/j.nbd.2014.11.025 [in press]. [2] Soekadar SR, Witkowski M, Vitiello N, Birbaumer N. An EEG/EOG-based hybrid brain-neural computer interaction (BNCI) system to control an exoskeleton for the paralyzed hand. Biomed Tech (Berl). 2014; doi: 10.1515/bmt-2014-0126 [in press]. [3] Witkowski M, Cortese M, Cempini M, Mellinger J, Vitiello N, Soekadar SR. Enhancing brain-machine interface (BMI) control of a hand exoskeleton using electrooculography (EOG). Journal of NeuroEngineering and Rehabilitation 2014, 11:165, doi:10.1186/1743-0003-11-165. Keywords: EEG, generalization, brain-machine interface, Hybrid, EOG, daily life Conference: 2015 International Workshop on Clinical Brain-Machine Interfaces (CBMI2015), Tokyo, Japan, 13 Mar - 15 Mar, 2015. Presentation Type: Poster 1-1 Topic: Clinical Brain-Machine Interfaces Citation: Soekadar SR, Witkowski M, Cohen LG and Birbaumer N (2015). Home-based hybrid brain-machine interface (BMI) training for neurorehabilitation of stroke. Conference Abstract: 2015 International Workshop on Clinical Brain-Machine Interfaces (CBMI2015). doi: 10.3389/conf.fnhum.2015.218.00017 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 23 Apr 2015; Published Online: 29 Apr 2015. * Correspondence: MD. Surjo R Soekadar, University Hospital Tübingen, Department of Psychiatry and Psychotherapy, Tübingen, Ba-Wü, 72076, Germany, surjo.soekadar@uni-tuebingen.de Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Surjo R Soekadar Matthias Witkowski Leonardo G Cohen Niels Birbaumer Google Surjo R Soekadar Matthias Witkowski Leonardo G Cohen Niels Birbaumer Google Scholar Surjo R Soekadar Matthias Witkowski Leonardo G Cohen Niels Birbaumer PubMed Surjo R Soekadar Matthias Witkowski Leonardo G Cohen Niels Birbaumer Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.