Brain-Computer Interfaces in Parkinson's Disease Rehabilitation.

ABSTRACT: Parkinson's disease (PD) is a progressive neurological disorder with motor and non-motor symptoms that are inadequately addressed by current pharmacological and surgical therapies. Brain-computer interfaces (BCIs), particularly those based on electroencephalography (eBCIs), provide a promising, non-invasive approach to personalized neurorehabilitation. This narrative review explores the clinical potential of BCIs in PD, discussing signal acquisition, processing, and control paradigms. eBCIs are well-suited for PD due to their portability, safety, and real-time feedback capabilities. Emerging neurophysiological biomarkers-such as beta-band synchrony, phase-amplitude coupling, and altered alpha-band activity-may support adaptive therapies, including adaptive deep brain stimulation (aDBS), as

SUBMITTER: Ortega-Robles E 

PROVIDER: S-EPMC12383679 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature