Deep brain-stimulation (DBS) involves the surgical implantation of electrodes into specific subcortical brain structures, delivering continuous or patterned electrical stimulation to modulate neural circuit activity. Since its introduction for movement disorders in the late 1980s, DBS has become an established therapy for Parkinson’s disease, essential tremor, and dystonia, with targets including the subthalamic nucleus, globus pallidus internus, and ventral intermediate nucleus of the thalamus.
The therapeutic mechanisms of DBS remain an active area of investigation. While early models proposed local inhibition of neural activity, current understanding emphasizes the modulation of pathological oscillatory patterns and the regularization of information flow through basal ganglia-thalamocortical circuits. This evolving understanding has informed the development of adaptive DBS systems that adjust stimulation parameters based on neural biomarkers such as beta-band oscillations.
Expanding clinical indications for DBS include treatment-resistant depression, obsessive-compulsive disorder, epilepsy, and Alzheimer’s disease. Technical advances in directional leads, rechargeable pulse generators, and sensing-enabled implants are transforming DBS from an open-loop therapy into a responsive, closed-loop stimulation-and-neuromodulation platform. The convergence of DBS technology with computational modeling and machine learning is enabling more precise targeting and personalized programming.