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Gait Adaptation and Biofeedback for Cerebral Palsy

Quantifying Patient-specific Changes in Neuromuscular Control in Cerebral Palsy: Adaptation and Biofeedback During Gait

Status
Recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05899153
Enrollment
36
Registered
2023-06-12
Start date
2023-11-28
Completion date
2029-01-01
Last updated
2025-02-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cerebral Palsy

Keywords

Gait, Rehabilitation

Brief summary

This research aims to evaluate walking function in children with cerebral palsy (CP). The researchers want to understand how children with CP adapt and learn new ways of moving. They have previously found that measuring how a person controls their muscles is important for assessing walking ability and response to interventions. In these studies, they will adjust the treadmill belt speeds and/or provide real-time feedback to evaluate how a child can alter their movement. The feedback will include a wearable exoskeleton that provides resistance to the ankle and audio and visual cues based on sensors that record muscle activity. This research will investigate three goals: first, to measure how children with CP adapt their walking; second, to see if either repeated training or orthopedic surgery can improve adaptation rates; and third, to determine if individual differences in adaptation relate to improvements in walking function after treatment. This research will help develop better treatments to enhance walking capacity and performance for children with CP.

Detailed description

Prior research has shown that children with cerebral palsy (CP) use simplified motor control strategies compared to nondisabled (ND) peers, and that these differences in motor control are associated with walking function. While we can quantify motor control during activities like walking, the processes by which a child with CP adapts and learns new movement patterns are poorly understood. This research will use two paradigms to evaluate adaptation and motor learning in children with CP: walking on a split-belt treadmill and responding to multimodal biofeedback. Walking on a split-belt treadmill, which has two belts set at different speeds to induce asymmetry during walking, has been commonly used to evaluate adaptation in other clinical populations. Responding to multimodal feedback can also be used to evaluate an individual's capacity to adapt their walking pattern. This research will use a real-time multimodal feedback system that targets plantarflexor activity, a key muscle group that is often impaired in CP. Sensorimotor feedback will be provided using a lightweight, body-worn robotic device that provides adaptive ankle resistance and step-by-step audiovisual feedback will be provided based on muscle activity from the plantarflexors using a visual display and audible tone. This research will quantify adaptation rate (e.g., change in soleus activity or step length symmetry) in response to these perturbations, and observe the impact of repeated practice or orthopedic surgery on walking function (e.g., change in walking speed). The specific aims are to: Aim-1: Quantify adaptation rates in children with CP. We will quantify adaptation rate in response to three perturbation experiments: split-belt treadmill walking, sensorimotor feedback, and audiovisual feedback. The primary hypotheses are that children with CP will exhibit reduced adaptation rates compared to ND peers, and that adaptation rates will be associated with function (Gross Motor Function Measure, GMFM-66). Aim-2: Determine whether adaptation rates change in response to repeated multimodal feedback training. We will evaluate children with CP who undergo six weeks of multimodal biofeedback training (20-min, 2x/week) or orthopedic surgery. The primary hypothesis is that multimodal feedback training will produce greater changes in adaptation rates than orthopedic surgery. Aim-3: Determine whether changes in gait after treatment are associated with adaptation rates. Gait analysis will be performed to determine whether baseline adaptation rates are associated with changes in gait after treatment. The primary hypotheses are that baseline adaptation rates will be associated with changes in muscle, joint, and whole-body performance.

Interventions

DEVICEAudiovisual Biofeedback

Electromyography recordings from the plantarflexor muscles are used to provide audio feedback via a sound that plays when muscle activity is above target and a visual bar that displays real-time muscle activity.

PROCEDUREMultilevel Orthopedic Surgery

Musculoskeletal surgeries to address alignment, contracture, and other lower-extremity impairments. This study does not impact surgical decision making but evaluates changes in gait before and after surgery.

Robotic ankle exoskeleton that provides resistance to ankle plantarflexion.

Sponsors

National Institute of Neurological Disorders and Stroke (NINDS)
CollaboratorNIH
Gillette Children's Specialty Healthcare
CollaboratorOTHER
Northern Arizona University
CollaboratorOTHER
University of Washington
Lead SponsorOTHER

Study design

Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
BASIC_SCIENCE
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
7 Years to 18 Years
Healthy volunteers
Yes

Inclusion criteria

* Diagnosis of bilateral cerebral palsy that impacts both legs * Gross Motor Functional Classification System Level II * No surgery or lower-extremity injuries 12 months prior to enrollment * No botulinum toxin injections in prior 3 months * No prior selective dorsal rhizotomy surgery * No history of seizures or cardiac conditions that would preclude walking on a treadmill for 20 minutes * No current pain that hinders walking

Design outcomes

Primary

MeasureTime frameDescription
Change in Soleus Muscle ActivityChange from baseline to intervention follow-up, assessed up to 18 monthsAverage stance-phase magnitude of soleus muscle activity from electromyography recording measured during gait at 1-month follow-up.
Change in Peak Ankle PowerChange from baseline to intervention follow-up, assessed up to 18 monthsAverage peak ankle power evaluated during gait.
Change in Self-Selected Walking SpeedChange from baseline after intervention.Average overground walking speed.
Change in Dynamic Motor Control During Walking (Walk-DMC)Change from baseline to intervention follow-up, assessed up to 18 monthsThe total variance account for by one muscle synergy calculated from electromyography recordings during gait.
Change in Gait Deviation Index (GDI)Change from baseline to intervention follow-up, assessed up to 18 monthsDeviation in gait kinematics compared to nondisabled gait.
Change in Gross Motor Function Measure - 66 (GMFM-66) Parts D & EChange from baseline to intervention follow-up, assessed up to 18 monthsAssessment tool designed and evaluated to measure changes in gross motor function. Parts D & E focus on standing, walking, jumping, and running function.

Countries

United States

Contacts

Primary ContactKatherine M Steele, PhD
kmsteele@uw.edu206-685-2390
Backup ContactAlyssa Spomer, PhD
AlyssaMSpomer@gillettechildrens.com

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026