Brain-computer interfaces: the innovative key to unlocking neurological conditions.

Area of Science:

• Neuroscience and Biomedical Engineering
• Clinical Neurology and Rehabilitation

Background:

• Neurological disorders (Parkinson's disease, stroke, spinal cord injury) significantly impact mortality, morbidity, and functional independence.
• Brain-Computer Interface (BCI) technology provides a direct communication pathway between the brain and external devices, offering innovative solutions for neurological conditions.

Purpose of the Study:

• To synthesize the latest advancements in BCI research across various neurological disorders.
• To provide an interdisciplinary perspective on clinical applications and emerging BCI technologies.
• To highlight progress, novel approaches, and future directions in BCI for neurological conditions.

Main Methods:

• Comprehensive review of recent clinical studies and prospective developments in BCI technology.
• Analysis of BCI classification, operational principles, and prevalent paradigms.
• Critical examination of BCI applications in movement, consciousness, cognitive, mental, and sensory disorders.

Main Results:

• BCI technology shows significant promise in addressing diverse neurological conditions.
• Emerging trends include AI integration and closed-loop systems, representing substantial advancements.
• Key research gaps exist in long-term clinical efficacy and standardized protocols.

Conclusions:

• BCI technology is a transformative tool for diagnosing, treating, and rehabilitating neurological disorders.
• Prioritizing bidirectional, high-performance BCIs and interdisciplinary collaboration is crucial.
• Neurosurgery plays a vital role in the clinical translation of BCI research, enhancing patient quality of life.