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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT02807766
Other study ID # UESTC-chenhuafulab-001
Secondary ID
Status Recruiting
Phase N/A
First received
Last updated
Start date May 2016
Est. completion date December 2024

Study information

Verified date January 2024
Source University of Electronic Science and Technology of China
Contact Huafu Chen
Email chenhf@uestc.edu.cn
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

Autism is a well-recognized neurodevelopmental disorder severely affecting the health of children. While the unclear neurobiological basis of autism and the lack of effective medication, the most commonly used approach for treatment is behavioral intervention. However, the pathophysiological mechanisms underlying the intervention therapy remains incompletely understood. The current project aims to explore the impacts of different early behavioral intervention methods on brain plasticity of autism using multimodal MRI technique and provide guidelines for the intervention and treatment of autism by evaluating the efficiency of these methods.


Description:

Autism is a well-recognized neurodevelopmental disorder severely affecting the health of children. While the unclear neurobiological basis of autism and the lack of effective medication, the most commonly used approach for treatment is behavioral intervention. However, the pathophysiological mechanisms underlying the intervention therapy remains incompletely understood. The current project aims to explore the impacts of different early behavioral intervention methods on brain plasticity of autism using multimodal MRI technique and provide guidelines for the intervention and treatment of autism by evaluating the efficiency of these methods. Investigators collect participants' brain imaging data, eye movement data, stool samples and clinical scale score before and after intervention. Investigators first investigate longitudinal effect of behavioral intervention on brain structure and function in children with autism. In addition, investigators provide new biological indexes upon multimodal large-scale brain connectomes to evaluate the curative effect of intervention. Finally, investigators propose a prediction model of intervention effect based on multimodal multivariate pattern analysis methods. Furthermore, investigators expect to map the state-of-the-art biomarkers on multi-modal networks to provide a new interpretation of pathophysiological mechanisms of autism.


Recruitment information / eligibility

Status Recruiting
Enrollment 150
Est. completion date December 2024
Est. primary completion date December 2024
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 2 Years to 8 Years
Eligibility Inclusion Criteria: - Age range from 2 to 8 years old. - Clinical DSM-IV diagnosis of autism. Exclusion Criteria: - Subjects with other neurodevelopmental diseases. - Subjects with contraindications to MRI.

Study Design


Related Conditions & MeSH terms


Intervention

Behavioral:
Behavior modification
Each group has 30 subjects and experiences six months' training.
Behavior modification and sensory integration training
Each group has 30 subjects and experiences six months' training.
Behavior modification and applied behavioral analysis
Each group has 30 subjects and experiences six months' training.
Behavior modification and TEACCH
Each group has 30 subjects and experiences six months' training.

Locations

Country Name City State
China Center for Information in BioMedicine, Key laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China Chengdu Sichuan
China Department of Children's and Adolescent Health, Public Health College of Harbin Medical University Harbin Heilongjiang

Sponsors (1)

Lead Sponsor Collaborator
University of Electronic Science and Technology of China

Country where clinical trial is conducted

China, 

Outcome

Type Measure Description Time frame Safety issue
Primary Brain structural and functional change under behavioral intervention at 6 months in children with autism Longitudinal effect of behavioral intervention on brain structure and function in children with autism will be assessed by Voxel-based morphometry analysis for structural changes, as well as Regional homogeneity, Amplitude of low-frequency fluctuation, etc, for functional changes. through study completion, an average of 1 year
Secondary Prediction model of intervention effect based on multimodal multivariate pattern analysis methods First, classify autism individuals into effective treatment group and ineffective treatment group according to the intervention effect at 6 months. Second, conduct feature selection with Sparse optimization algorithms and cluster analysis on MRI data. Third, design optimized classifiers integrated support vector machines and Gaussian Naive Bayes classifiers. through study completion, an average of 1 year
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