Emerging Neural Recording and Neurostimulation Technologies Based on Brain-Computer Interface: A Promising Approach for Neuropsychiatric Disorders.
Review of recent brain–computer interface recording and stimulation technologies, emphasizing closed‑loop systems and BCI‑driven DBS and their potential applications to movement disorders including Parkinson’s disease.
What the AI sees
Review of recent brain–computer interface recording and stimulation technologies, emphasizing closed‑loop systems and BCI‑driven DBS and their potential applications to movement disorders including Parkinson’s disease.
Research significance
Although it doesn't target molecular disease mechanisms, the paper is moderately useful for Parkinson’s therapeutics because advances in BCI-driven, closed‑loop neuromodulation could meaningfully improve symptomatic control, personalization, and clinical translation of DBS-based interventions.
Source abstract
Neurological and psychiatric disorders, arising from disruptions in neural circuitry, pose a major and growing challenge to global healthcare systems. Brain-computer interface (BCI) technology has emerged as a promising approach, enabling direct communication between the brain and external devices. By facilitating bidirectional interaction with the nervous system, BCIs open new avenues for both diagnosis and treatment. In this review, we examine recent advances in recording and stimulation technologies within the BCI framework and evaluate their therapeutic potential across major neuropsychiatric disorders. We focus particularly on post-stroke motor rehabilitation as a representative paradigm, providing detailed analysis of the mechanisms, clinical evidence, and future prospects of endovascular BCI, BCI-integrated epidural spinal cord stimulation, and BCI-driven deep brain stimulation. We further extend the discussion to movement disorders such as Parkinson's disease and epilepsy, as well as cognitive and psychiatric conditions including Alzheimer's disease and depression, highlighting how BCI-based approaches enable symptom detection and closed-loop neuromodulation. Additionally, we address ethical and societal considerations accompanying clinical translation of these advanced neurotechnologies. By integrating current evidence, this review highlights a paradigm shift toward more active, precise, and personalized neural rehabilitation enabled by BCI systems, while outlining key challenges and future directions for research and clinical application.