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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.
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Sensory Integration Training | Experimental | Behavior modification and Sensory Integration Training |
|
| applied behavioral analysis | Experimental | Behavior modification and applied behavioral analysis. |
|
| TEACCH | Experimental | Behavior modification and TEACCH. |
|
| Behavior modification | Other | Behavior modification. |
|
| healthy control group | No Intervention | No intervention. |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Behavior modification | Behavioral | Each group has 30 subjects and experiences six months' training. |
|
| Measure | Description | Time Frame |
|---|---|---|
| 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 |
| Measure | Description | Time Frame |
|---|---|---|
| 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. |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Huafu Chen | Contact | chenhf@uestc.edu.cn |
| Name | Affiliation | Role |
|---|---|---|
| Huafu Chen | School of Life Science and Technology, University of Electronic Science and Technology of China | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Department of Children's and Adolescent Health, Public Health College of Harbin Medical University | Recruiting | Harbin | Heilongjiang | 150086 | China |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 37899464 | Derived | Huang X, Ming Y, Zhao W, Feng R, Zhou Y, Wu L, Wang J, Xiao J, Li L, Shan X, Cao J, Kang X, Chen H, Duan X. Developmental prediction modeling based on diffusion tensor imaging uncovering age-dependent heterogeneity in early childhood autistic brain. Mol Autism. 2023 Oct 30;14(1):41. doi: 10.1186/s13229-023-00573-2. | |
| 33123725 | Derived |
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| Behavior modification and sensory integration training | Behavioral | Each group has 30 subjects and experiences six months' training. |
|
| Behavior modification and applied behavioral analysis | Behavioral | Each group has 30 subjects and experiences six months' training. |
|
| Behavior modification and TEACCH | Behavioral | Each group has 30 subjects and experiences six months' training. |
|
| through study completion, an average of 1 year |
| 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 | Recruiting | Chengdu | Sichuan | 610054 | China |
|
| Guo X, Duan X, Suckling J, Wang J, Kang X, Chen H, Biswal BB, Cao J, He C, Xiao J, Huang X, Wang R, Han S, Fan YS, Guo J, Zhao J, Wu L, Chen H. Mapping Progressive Gray Matter Alterations in Early Childhood Autistic Brain. Cereb Cortex. 2021 Feb 5;31(3):1500-1510. doi: 10.1093/cercor/bhaa304. |
| ID | Term |
|---|---|
| D001321 | Autistic Disorder |
| ID | Term |
|---|---|
| D000067877 | Autism Spectrum Disorder |
| D002659 | Child Development Disorders, Pervasive |
| D065886 | Neurodevelopmental Disorders |
| D001523 | Mental Disorders |
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| ID | Term |
|---|---|
| D001521 | Behavior Therapy |
| ID | Term |
|---|---|
| D011613 | Psychotherapy |
| D004191 | Behavioral Disciplines and Activities |
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