Full
Outline
With the accelerating pace of work and life in modern society, sleep disorders have become an increasingly prevalent issue. Brain-computer interface (BCI), as an emerging technological tool, offers new possibilities for the diagnosis and treatment of sleep disorders.
To analyze and summarize the application of BCI in sleep disorders in recent years and explore its clinical value in the diagnosis and treatment of sleep disorders.
Literature searches were conducted using the search terms “brain-computer interface”, “electroencephalogram”, “sleep”, “sleep disorders”, “sleep monitoring”, and “sleep intervention” both on the PubMed and China National Knowledge Infrastructure (CNKI) database. The search period spanned from January 2015 to August 2025. The initial search yielded 678 documents. After strict screening and manual addition of 2 more, a total of 34 relevant documents were finally included.
BCI technology is revolutionizing the diagnosis and treatment of sleep disorders by leveraging high-precision EEG signal analysis and intelligent algorithms. Multimodal deep learning models enable BCI systems to achieve high accuracy in sleep-stage classification, while closed-loop auditory, visual, and electrical stimulation systems significantly improve sleep quality. However, core challenges persist, including hardware-side signal noise interference, limited algorithmic generalizability, constraints in device portability, and ethical and privacy concerns, alongside the need for clinical standardization.
Future research should focus on breakthroughs in the synergy of “materials-algorithms-hardware”, enhancing the maturity of multimodal closed-loop intervention systems, establishing standardized clinical validation protocols, and developing robust ethical and safety frameworks. These efforts are expected to advance the further development of BCI technology in the field of sleep disorder research.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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