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NCT06352814

Activities-based Locomotor Training Program Versus Traditional Physical Therapy in Children With Cerebral Palsy

Impact of an Activities-based Locomotor Training Program Versus Traditional Physical Therapy in Children With Cerebral Palsy on Activity, Participation, and Neurophysiological Adaptations
Baylor University·ClinicalTrials.gov·otherRecruiting
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Study focus
Disease/Condition
Cerebral Palsy
Drug/Device/Intervention
Activities-based locomotor training (physical therapy)
Study type
Observational
Intervention type
other
Sponsor & location
Primary sponsor
Baylor University
Location
Waco, United States of America
Timeline & enrollment
Phase
N/A
Start date
Mar 08, 2024
End date
May 30, 2027
Enrollment
30 participants
Primary outcome

Gross Motor Function Measure-66 (GMFM),Pediatric Neuromuscular Recovery Scale (PedsNRS),Pediatric Evaluation of Disability Inventory (PEDI-CAT),Pediatric Quality of Life Inventory CP Module (PedsQL-CP),Functional near-infrared spectroscopy,Electromyography,ActiGraph sensors

Summary

The purpose of this study is to investigate the impact of an intensive activities-based
 locomotor training program as compared to traditional physical therapy on activity,
 participation, and central and peripheral neurophysiological adaptation in children with
 cerebral palsy.

ICD-10 classifications
Cerebral palsyOther cerebral palsyCerebral palsy, unspecifiedDyskinetic cerebral palsyAtaxic cerebral palsy
Data source
Registry
ClinicalTrials.gov
Trial ID
NCT06352814
Type
Non-Device Trial
About this record

Access comprehensive clinical trial information for NCT06352814 through Pure Global AI's free database. This phase not specified trial is sponsored by Baylor University and is currently Recruiting. The study focuses on Cerebral Palsy. Target enrollment is 30 participants.

This page provides complete trial specifications, intervention details, outcomes, and location information. Pure Global AI offers free access to ClinicalTrials.gov data, helping medical device and pharmaceutical companies navigate clinical research efficiently.