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Treffer: Neural decoding reliability: Breakthroughs and potential of brain-computer interfaces technologies in the treatment of neurological diseases.

Title:
Neural decoding reliability: Breakthroughs and potential of brain-computer interfaces technologies in the treatment of neurological diseases.
Authors:
Li J; Faculty of Anesthesiology, Changhai Hospital, Naval Medical University, Shanghai 200433, China; Basic Medical University, Naval Medical University, Shanghai 200433, China., Zhang W; Faculty of Anesthesiology, Changhai Hospital, Naval Medical University, Shanghai 200433, China; Naval Medical University, No.800, Xiangyin Road, Shanghai 200433, China., Liao Y; Faculty of Anesthesiology, Changhai Hospital, Naval Medical University, Shanghai 200433, China; Naval Medical University, No.800, Xiangyin Road, Shanghai 200433, China., Qiu Y; Faculty of Anesthesiology, Changhai Hospital, Naval Medical University, Shanghai 200433, China; Beijing Institute of Basic Medical Sciences, Beijing 100000, China., Zhu Y; Faculty of Anesthesiology, Changhai Hospital, Naval Medical University, Shanghai 200433, China; Department of Anesthesiology, Naval Hospital of Eastern Theater, Zhoushan 316004, China. Electronic address: zhuyalin1996@126.com., Zhang X; Department of Otolaryngology, Naval Medical Center of PLA, Navy Medical University Shanghai, Shanghai 200052, China. Electronic address: min455@126.com., Wang C; Faculty of Anesthesiology, Changhai Hospital, Naval Medical University, Shanghai 200433, China. Electronic address: wangchangli1122@foxmail.com.
Source:
Physics of life reviews [Phys Life Rev] 2025 Dec; Vol. 55, pp. 1-40. Date of Electronic Publication: 2025 Aug 20.
Publication Type:
Journal Article; Review; Research Support, Non-U.S. Gov't
Language:
English
Journal Info:
Publisher: Elsevier Country of Publication: Netherlands NLM ID: 101229718 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-1457 (Electronic) Linking ISSN: 15710645 NLM ISO Abbreviation: Phys Life Rev Subsets: MEDLINE
Imprint Name(s):
Original Publication: Amsterdam ; Boston : Elsevier, c2004-
MeSH Terms:
Brain-Computer Interfaces* , Nervous System Diseases*/therapy , Nervous System Diseases*/physiopathology, Humans
Contributed Indexing:
Keywords: Biomaterials; Brain-computer interface; Cerebral cortex; Neurological diseases
Entry Date(s):
Date Created: 20250824 Date Completed: 20251129 Latest Revision: 20251215
Update Code:
20251216
DOI:
10.1016/j.plrev.2025.08.007
PMID:
40850267
Database:
MEDLINE

Weitere Informationen

Neurological disorders such as Parkinson's disease, stroke, and epilepsy frequently result in irreversible disability. Brain-computer interface (BCI) technologies offer the promise of recovering or replacing impaired sensory, motor, and cognitive functions by directly stimulating cortical activity or by converting self-generated cortical activity into commands for external assistive devices. In-depth studies of cerebral cortex connectivity, function and neural hierarchical coding mechanisms can provide novel solutions for BCI-based treatments. This review summarizes the fundamental principles and history of BCI technology and current research progress, including the utilization of known cortical functions and the potential impact of newly discovered cortical functions on the future development of BCI-based applications. The article then systematically reviews the application of BCI technology for the treatment of motor, cognitive, and psychiatric disorders, innovative uses of hydrogels and carbon nanomaterials in BCI systems, and the current limitations and future research directions of BCI systems with respect to the reliability of neural decoding. This article aims to provide clinicians and researchers with the latest progress and a comprehensive overview of BCI applications for diagnosing and treating neurological diseases from in-depth studies on cerebral cortex structure and function, and to propose potential future applications based on interdisciplinary approaches, especially in enhancing the reliability of neural decoding.
(Copyright © 2025 The Author(s). Published by Elsevier B.V. All rights reserved.)

Declaration of competing interest The authors declare that they have no conflict of interest.