Applications of brain-computer interfaces in neurodegenerative diseases.
Alzheimer’s disease
Amyotrophic lateral sclerosis
Brain-computer interfaces
Neurodegenerative diseases
Neurological rehabilitation
Journal
Neurosurgical review
ISSN: 1437-2320
Titre abrégé: Neurosurg Rev
Pays: Germany
ID NLM: 7908181
Informations de publication
Date de publication:
31 May 2023
31 May 2023
Historique:
received:
15
01
2023
accepted:
23
05
2023
revised:
06
05
2023
medline:
2
6
2023
pubmed:
31
5
2023
entrez:
31
5
2023
Statut:
epublish
Résumé
Brain-computer interfaces (BCIs) provide the central nervous system with channels of direct communication to the outside world, without having to go through the peripheral nervous system. Neurodegenerative diseases (NDs) are notoriously incurable and burdensome medical conditions that will result in progressive deterioration of the nervous system. The applications of BCIs in NDs have been studied for decades now through different approaches, resulting in a considerable amount of literature in all related areas. In this study, we begin by introducing BCIs and proceed by explaining the principles of BCI-based neurorehabilitation. Then, we go through four specific types of NDs, including amyotrophic lateral sclerosis, Parkinson's disease, Alzheimer's disease, and spinal muscular atrophy, and review some of the applications of BCIs in the neural rehabilitation of these diseases. We conclude with a discussion of the characteristics, challenges, and future possibilities of research in the field. Going through the uses of BCIs in NDs, we can see that approaches and strategies employed to tackle the wide range of limitations caused by NDs are numerous and diverse. Furthermore, NDs can fall under different categories based on the target area of neurodegeneration and thus require different methods of BCI-based rehabilitation. In recent years, neurotechnology companies have substantially invested in research on BCIs, focusing on commercializing BCIs and bringing BCI-based technologies from bench to bedside. This can mean the beginning of a new era for BCI-based neurorehabilitation, with an anticipated spike in interest among researchers, practitioners, engineers, and entrepreneurs alike.
Identifiants
pubmed: 37256332
doi: 10.1007/s10143-023-02038-9
pii: 10.1007/s10143-023-02038-9
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
131Informations de copyright
© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
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