Log in
Enquire now
‌

Precision Sensorimotor Neurorehabilitation Through Personalized Stimulation Loops

OverviewStructured DataIssuesContributors

Contents

clinicaltrials.gov/study/NCT06608875
Is a
‌
Clinical study
0

Clinical Study attributes

NCT Number
NCT066088750
Trial Recruitment Size
400
Trial Sponsor
University of Zurich
University of Zurich
0
Clinical Trial Start Date
May 16, 2024
0
Primary Completion Date
2026
0
Study Completion Date
2026
0
Clinical Trial Study Type
Interventional0
Interventional Trial Purpose
Treatment0
Intervention Type
Behavioral0
Interventional Trial Phase
Not Applicable0
Official Name
Precision Sensorimotor Neurorehabilitation Through Personalized Stimulation Loops in a Proof-of-principle Study0
Last Updated
September 23, 2024
0
Allocation Type
Randomized0
Intervention Model
Parallel Assignment0
Masking Type
Quadruple0
Masked Party
Participant0
Outcomes Assessor0
Investigator0
Care Provider0

Other attributes

Intervention Treatment
Targeted auditory stimulation during sleep (TASS verum intervention)0
Control targeted auditory stimulation during sleep (TASS sham intervention)0
Hyper-personalized feedback (HPF intervention)0
Study summary

Parkinson's disease (PD) is a neurodegenerative disease that affects about 1% of the elderly population and accounts for substantial disability and health care costs. Disability is largely driven by mobility deficits caused by impaired gait. Effective treatments are available to restore lower limb function and improve gait, but response to treatment varies greatly from patient to patient and often shows only small effect sizes. Addressing this heterogeneity requires personalization, a concept referred to precision neurorehabilitation. StimuLOOP.PD intends to foster structured and reproducible methods for precision neurorehabilitation of gait in PD. The investigator will conduct a proof-of-concept study to investigate a combination of two methods that are each tailored to the individual patient. Two innovative technologies are applied in concert to enhance recovery of lower limb function. 1. Hyper-personalized feedback (HPF): For lower limb motor rehabilitation, the investigator will employ real-time continuous feedback for movement aspects that are specific to each participant's motor deficit. The feedback will be adapted and tailored to each participant. This results in a two-step personalization; in a first step, the investigator will choose what movement aspect is therapeutically targeted, and in a second step, the investigator will define how the feedback is presented to the participant. 2. Targeted auditory stimulation during sleep (TASS):The investigator aim to reactivate rehabilitation- related memories through the presentation of auditory stimuli during sleep with the goal of promoting motor memory consolidation into stable motor commands. The HPF intervention is expected to induce rapid adaptations, which however do not persist over multiple days. To counter this, the investigator will leverage memory reactivation during sleep to enhance the consolidation of the movement patterns that are learned during HPF. The investigator expect that these interventions will lead to greater gains in functional walking ability. Beyond demonstrating a proof-of-concept for novel methods of precision neurorehabilitation, positive results of this project may have implications for neurorehabilitation treatment in general by providing first insights into the benefits and interplay of HPF and TASS.

Timeline

No Timeline data yet.

Further Resources

Title
Author
Link
Type
Date
No Further Resources data yet.

References

Find more entities like Precision Sensorimotor Neurorehabilitation Through Personalized Stimulation Loops

Use the Golden Query Tool to find similar entities by any field in the Knowledge Graph, including industry, location, and more.
Open Query Tool
Access by API
Golden Query Tool
Golden logo

Company

  • Home
  • Press & Media
  • Blog
  • Careers
  • WE'RE HIRING

Products

  • Knowledge Graph
  • Query Tool
  • Data Requests
  • Knowledge Storage
  • API
  • Pricing
  • Enterprise
  • ChatGPT Plugin

Legal

  • Terms of Service
  • Enterprise Terms of Service
  • Privacy Policy

Help

  • Help center
  • API Documentation
  • Contact Us
By using this site, you agree to our Terms of Service.