REVIEW article
Front. Neurosci.
Sec. Neurodegeneration
This article is part of the Research TopicInnovative imaging in neurological disorders: bridging engineering and medicineView all 10 articles
Advancements in the Application of Brain-Computer Interfaces Based on Different Paradigms in Amyotrophic Lateral Sclerosis
Provisionally accepted
- Department of Rehabilitation Medicine, the First Affiliated Hospital of Dalian Medical University;College of Health-Preservation and Wellness, Dalian Medical University, Dalian Medical University, Dalian, China
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Amyotrophic lateral sclerosis (ALS) is a progressive neurological condition that leads to the gradual loss of movement and communicative abilities, significantly diminishing the quality of life for affected individuals. Recent advancements in neuroscience and engineering have propelled the swift evolution of brain-computer interfaces (BCIs), which are now extensively utilised in medical rehabilitation, military applications, assistive technologies, and various other domains. As a communication medium facilitating direct interaction between the brain and the external world independent of the peripheral nervous system, BCI provides ALS patients with an innovative method for communication and control, offering unparalleled prospects for improving their quality of life. Recent collaborative endeavours among several specialists have markedly enhanced the precision and velocity of diverse BCI paradigms, signifying a breakthrough in BCI applications for ALS. Nonetheless, obstacles and constraints remain. This study methodically extracted pertinent literature from the Web of Science and PubMed databases in accordance with PRISMA guidelines. Following stringent inclusion and exclusion criteria, 23 studies were identified. This data allows us to summarise the application results and current limitations of several BCI paradigms in motor control and communication, while delineating prospects in multimodal fusion and adaptive calibration. This review presents evidence-based references for the effective translation and application of BCI technology in ALS rehabilitation.
Keywords: Amyotrophic Lateral Sclerosis, Brain-Computer Interfaces, paradigms, neurodegenerative disease, Advancements
Received: 02 Jul 2025; Accepted: 24 Nov 2025.
Copyright: © 2025 Li, Gao, Zhou, Chen, Zhang, Gong and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Xiaoyang Gong
Yong Liu
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