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fNIRS Neurofeedback for Parkinson's Disease Balance and Gait (NCT05800470)
Overview
This clinical trial investigates the efficacy of functional near-infrared spectroscopy (fNIRS)-based neurofeedback training on balance and gait parameters in patients with [Parkinson's Disease](/diseases/parkinsons-disease). The study employs a novel neuromodulation approach using real-time hemodynamic feedback to improve motor function in PD patients experiencing postural instability and gait dysfunction.
[fNIRS](/technologies/fnirs-bci) is a non-invasive neuroimaging technique that measures cortical activity through hemodynamic responses in the prefrontal cortex and motor regions. By providing real-time feedback of brain activity patterns, patients can learn to modulate their neural circuits to improve motor control and reduce gait dysfunction.
Trial Details
| Parameter | Value | |-----------|-------| | NCT Number | NCT05800470 | | Status | Recruiting | | Phase | Not Applicable | | Study Type | Interventional | | Intervention | fNIRS-based Neurofeedback Training | | Enrollment | Estimated 30-50 participants | | Sponsor | University Medical Center | | Principal Investigator | TBD | | Start Date | 2024 | | Completion Date | 2026 |
Scientific Rationale
Gait Dysfunction in Parkinson's Disease
Parkinson's disease significantly impacts gait and balance through multiple mechanisms:
...
fNIRS Neurofeedback for Parkinson's Disease Balance and Gait (NCT05800470)
Overview
This clinical trial investigates the efficacy of functional near-infrared spectroscopy (fNIRS)-based neurofeedback training on balance and gait parameters in patients with [Parkinson's Disease](/diseases/parkinsons-disease). The study employs a novel neuromodulation approach using real-time hemodynamic feedback to improve motor function in PD patients experiencing postural instability and gait dysfunction.
[fNIRS](/technologies/fnirs-bci) is a non-invasive neuroimaging technique that measures cortical activity through hemodynamic responses in the prefrontal cortex and motor regions. By providing real-time feedback of brain activity patterns, patients can learn to modulate their neural circuits to improve motor control and reduce gait dysfunction.
Trial Details
| Parameter | Value | |-----------|-------| | NCT Number | NCT05800470 | | Status | Recruiting | | Phase | Not Applicable | | Study Type | Interventional | | Intervention | fNIRS-based Neurofeedback Training | | Enrollment | Estimated 30-50 participants | | Sponsor | University Medical Center | | Principal Investigator | TBD | | Start Date | 2024 | | Completion Date | 2026 |
Scientific Rationale
Gait Dysfunction in Parkinson's Disease
Parkinson's disease significantly impacts gait and balance through multiple mechanisms:
Dopaminergic neuron loss in the [substantia nigra](/brain-regions/substantia-nigra) pars compacta disrupts basal ganglia circuitry
Reduced automaticity of walking requires conscious attention to previously automatic movements
Freezing of gait episodes characterized by transient inability to step forward
Postural instability leading to falls and reduced mobility
Prefrontal Cortex Dysfunction in PD
Research using fNIRS has demonstrated altered prefrontal cortex activation patterns in [Parkinson's Disease](/diseases/parkinsons-disease) patients:
Compensatory prefrontal activation during gait tasks as patients recruit cognitive resources to compensate for basal ganglia dysfunction
Reduced prefrontal efficiency compared to healthy controls
Correlation with disease severity - more severe PD shows greater prefrontal activation abnormalities
fNIRS Neurofeedback Mechanism
fNIRS-based neurofeedback provides real-time visualization of hemodynamic responses in the prefrontal cortex, allowing patients to:
Learn self-regulation of prefrontal activation patterns
Improve motor planning efficiency through neural feedback
Reduce cognitive burden required for walking automaticity
Enhance compensatory pathways for gait control
Intervention Protocol
Neurofeedback Training Protocol
The intervention typically consists of:
Baseline Assessment: Pre-training measurement of gait parameters and cortical activation
Training Sessions: 20-30 sessions over 4-8 weeks
Real-time display of HbO₂ (oxyhemoglobin) levels in prefrontal cortex
Visual or auditory feedback when target activation patterns achieved
Progressive difficulty increases as subjects learn self-regulation
3. Post-Training Assessment: Evaluation of gait and balance improvements
Target Brain Regions
| Region | Function | Clinical Target | |--------|----------|------------------| | Prefrontal Cortex | Executive function, motor planning | Improve self-regulation of motor circuits | | Supplementary Motor Area | Motor sequence execution | Reduce cognitive burden of walking | | Premotor Cortex | Movement preparation | Enhance motor preparation efficiency |
Outcome Measures
Primary Endpoints
Gait Speed — Measured during timed walking tests (e.g., 10-Meter Walk Test)
Step Length — Average step length during comfortable pace walking
Balance Scores — Berg Balance Scale or similar validated measures
Freezing of Gait Episodes — Frequency and duration of freezing episodes
Secondary Endpoints
Timed Up and Go (TUG) Test — Composite measure of mobility
Postural Sway — Center of pressure measurements during stance
Dual-task Performance — Gait parameters during cognitive-motor dual tasks
Quality of Life — PD-specific questionnaires (e.g., PDQ-39)
Cortical Activation Changes — Pre- to post-training changes in fNIRS signals
Mechanism of Action
Neural Plasticity Mechanisms
Operant Conditioning: Patients learn to produce desired activation patterns through reinforcement
Neuroplasticity: Repeated training induces lasting changes in neural circuits
Compensatory Pathway Strengthening: Alternative motor control pathways are enhanced
Reduced Cognitive Load: Walking becomes more automatic, freeing cognitive resources
Expected Outcomes
Based on the existing literature on fNIRS neurofeedback in neurological conditions:
Moderate improvements in gait speed (10-20% increase expected)
Reduced freezing of gait episodes in responsive patients
Improved balance scores on standardized measures
Enhanced quality of life through improved mobility
Potential disease-modifying effects through neuroplasticity mechanisms
Frustration if self-regulation is difficult to achieve
Minor headaches (rare, typically transient)
Limitations
Individual variability in neurofeedback learning ability
Requires active participation - not suitable for advanced PD with severe cognitive impairment
Limited evidence base for long-term effects
Access to fNIRS equipment may be limited in clinical settings
Future Directions
This trial represents an important step in establishing fNIRS neurofeedback as a viable therapeutic option for [Parkinson's Disease](/diseases/parkinsons-disease). Future directions include:
Home-based systems for extended training
Combination with other neuromodulation (tDCS, TMS)
Personalized protocols based on individual neural patterns
Integration with wearable sensors for continuous monitoring
Large-scale trials to establish efficacy and durability