Brain–computer interfaces: the innovative key to unlocking neurological conditions

作者：Hongyu Zhang, Le Jiao, Songxiang Yang, Haopeng Li, Xinzhan Jiang, Jing Feng, Shuhuai Zou, Qiang Xu, Jianheng Gu, Xuefeng Wang, Baojian Wei · 发表于：International Journal of Surgery · 年份：2024 · DOI：10.1097/js9.0000000000002022 · 被引用次数：153 · 研究领域：EEG and Brain-Computer Interfaces、Neuroscience and Neural Engineering、Functional Brain Connectivity Studies

Neurological disorders such as Parkinson's disease, stroke, and spinal cord injury can pose significant threats to human mortality, morbidity, and functional independence. Brain-Computer Interface (BCI) technology, which facilitates direct communication between the brain and external devices, emerges as an innovative key to unlocking neurological conditions, demonstrating significant promise in this context. This comprehensive review uniquely synthesizes the latest advancements in BCI research across multiple neurological disorders, offering an interdisciplinary perspective on both clinical applications and emerging technologies. We explore the progress in BCI research and its applications in addressing various neurological conditions, with a particular focus on recent clinical studies and prospective developments. Initially, the review provides an up-to-date overview of BCI technology, encompassing its classification, operational principles, and prevalent paradigms. It then critically examines specific BCI applications in movement disorders, disorders of consciousness, cognitive and mental disorders, as well as sensory disorders, highlighting novel approaches and their potential impact on patient care. This review reveals emerging trends in BCI applications, such as the integration of artificial intelligence and the development of closed-loop systems, which represent significant advancements over previous technologies. The review concludes by discussing the prospects and dir...