AbstractBackground. Cervical spinal cord injury disrupts descending motor commands, sensory information, and autonomic regulation, producing tetraplegia incompletely reversible with rehabilitation. Brain–spine interfaces seek to re-establish communication across the lesion by decoding cortical intention and delivering patterned spinal stimulation, while bidirectional systems restore somatosensory feedback.Materials and methods. A structured narrative review integrated trials, prospective cohorts, first-in-human studies, neurophysiological investigations, regulatory documents, and reports published through July 2026. Evidence was organized by biological plausibility, neural-signal acquisition, decoding performance, spinal-target selectivity, sensorimotor integration, safety, durability, rehabilitation dependence, and translational readiness. A prospective multicenter comparative protocol was developed for adults with chronic cervical injury and neurological stability.Results. The synthesis addresses cortical decoding, epidural and transcutaneous spinal neuromodulation, upper-limb and locomotor restoration, artificial sensory feedback, autonomic effects, and activity-dependent neuroplasticity. Implanted brain–spine systems have enabled intention- driven standing and walking in an individual with chronic tetraplegia, whereas non-invasive cervical stimulation combined with task practice has improved hand strength and sensation in cohorts. A double neural bypass reported in 2026 integrated intracortical decoding, patterned spinal stimulation, and cortical sensory stimulation, producing immediate assistance together with persistent motor and sensory gains in one participant. The proposed primary endpoint is functional independence measured by SCIM III and task-specific upper-extremity performance without device-related morbidity. Secondary endpoints include GRASSP, CUE-T, gait capacity, decoding latency, sensory localization, autonomic stability, quality of life, caregiver burden, durability, and cost-effectiveness.Conclusion. Brain–spine interfaces are evolving from proof-of-concept bypasses toward restorative neuroprosthetic systems. Multicenter validation, standardized endpoints, transparent algorithms, and long-term surveillance remain essential.Keywords: cervical spinal cord injury, tetraplegia, brain–spine interface, brain–computer interface, epidural spinal cord stimulation, transcutaneous stimulation, neural bypass, sensory feedback, neuroplasticity.
AbstractBackground. Conventional deep brain stimulation provides continuous therapy for Parkinson’s disease, but fixed stimulation cannot accommodate medication cycles, sleep–wake transitions, gait freezing, dyskinesia, or biomarker drift. Adaptive deep brain stimulation offers closed- loop neuromodulation by adjusting stimulation according to sensed neural or behavioral signals.Materials and methods. A structured narrative review used randomized and nonrandomized trials, prospective cohorts, documents, neurophysiological studies, and investigations published through July 2026. Evidence was organized by biomarker validity, control architecture, programming feasibility, effectiveness, safety, energy efficiency, generalizability, and human-factor integration. A multicenter crossover study is proposed for adults with levodopa-responsive Parkinson’s disease and motor fluctuations despite optimized conventional stimulation.Results. Subthalamic beta amplitude and beta-burst duration remain the most mature control variables, whereas stimulation-entrained gamma activity, cortical signals, wearable-derived gait events, and multimodal decoders may better capture dyskinesia, freezing, and naturalistic behavior. Chronic studies suggest that personalized adaptive stimulation can improve residual motor symptoms and quality of life, while gait-synchronized and activity-dependent paradigms may address axial disability. Major limitations include sensing artifacts, unstable biomarkers, heterogeneous programming, small samples, insufficient blinding, and limited evidence regarding cognition, speech, falls, and device burden. The proposed primary endpoint combines blinded motor-state improvement with reduced troublesome dyskinesia and off time. Secondary endpoints include falls, gait freezing, speech, cognition, quality of life, stimulation energy, programming time, adverse events, calibration, and subgroup performance.Conclusion. Adaptive deep brain stimulation is transitioning from experimental physiology to regulated clinical therapy. Its durable value will depend on biomarker personalization, transparent algorithms, standardized outcomes, and independent multicenter validation.Keywords: Parkinson’s disease, adaptive deep brain stimulation, closed-loop neuromodulation, beta oscillations, local field potentials, gait freezing, neural biomarkers, personalized neurostimulation.