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Mavlonovich

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Review Open access Aug 2026

BRAIN–SPINE INTERFACES AFTER CERVICAL SPINAL CORD INJURY: BIDIRECTIONAL NEURAL BYPASSES, EPIDURAL STIMULATION, AND SENSORIMOTOR RESTORATION

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.

Ravshanov Davron, Mavlonovich · 0 citations
Review Open access Aug 2026

ADAPTIVE DEEP BRAIN STIMULATION FOR PARKINSON’S DISEASE: NEURAL BIOMARKERS, GAIT-SYNCHRONIZED CONTROL, AND PATIENT-SPECIFIC NETWORK NEUROMODULATION

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.

Равшанов Даврон Мавлонович, Ravshanov Davron, Mavlonovich · 0 citations