dc.contributor.author
Angerhöfer, Cornelius
dc.contributor.author
Colucci, Annalisa
dc.contributor.author
Vermehren, Mareike
dc.contributor.author
Hömberg, Volker
dc.contributor.author
Soekadar, Surjo R.
dc.date.accessioned
2022-03-22T10:36:53Z
dc.date.available
2022-03-22T10:36:53Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/34460
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-34178
dc.description.abstract
Severe upper limb paresis can represent an immense burden for stroke survivors. Given the rising prevalence of stroke, restoration of severe upper limb motor impairment remains a major challenge for rehabilitation medicine because effective treatment strategies are lacking. Commonly applied interventions in Germany, such as mirror therapy and impairment-oriented training, are limited in efficacy, demanding for new strategies to be found. By translating brain signals into control commands of external devices, brain-computer interfaces (BCIs) and brain-machine interfaces (BMIs) represent promising, neurotechnology-based alternatives for stroke patients with highly restricted arm and hand function. In this mini-review, we outline perspectives on how BCI-based therapy can be integrated into the different stages of neurorehabilitation in Germany to meet a long-term treatment approach: We found that it is most appropriate to start therapy with BCI-based neurofeedback immediately after early rehabilitation. BCI-driven functional electrical stimulation (FES) and BMI robotic therapy are well suited for subsequent post hospital curative treatment in the subacute stage. BCI-based hand exoskeleton training can be continued within outpatient occupational therapy to further improve hand function and address motivational issues in chronic stroke patients. Once the rehabilitation potential is exhausted, BCI technology can be used to drive assistive devices to compensate for impaired function. However, there are several challenges yet to overcome before such long-term treatment strategies can be implemented within broad clinical application: 1. developing reliable BCI systems with better usability; 2. conducting more research to improve BCI training paradigms and 3. establishing reliable methods to identify suitable patients.
en
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
brain-computer interface
en
dc.subject
severe upper limb paresis
en
dc.subject
neurorehabilitation
en
dc.subject
long-term treatment
en
dc.subject
neurotechnology
en
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit
dc.title
Post-stroke Rehabilitation of Severe Upper Limb Paresis in Germany – Toward Long-Term Treatment With Brain-Computer Interfaces
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
772199
dcterms.bibliographicCitation.doi
10.3389/fneur.2021.772199
dcterms.bibliographicCitation.journaltitle
Frontiers in Neurology
dcterms.bibliographicCitation.originalpublishername
Frontiers Media SA
dcterms.bibliographicCitation.volume
12
refubium.affiliation
Charité - Universitätsmedizin Berlin
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.bibliographicCitation.pmid
34867760
dcterms.isPartOf.eissn
1664-2295