Understanding brain structure differences in children with autism
Official title: SCH: Using Data-Driven Computational Biomechanics to Disentangle Brain Structural Commonality, Variability, and Abnormality in ASD
Funded at University of Georgia · NIH-10916511 · Data updated 2026-11-12
This study is looking at how the brains of children with autism spectrum disorder (ASD) are different by creating detailed models to understand their unique features, which could help doctors make better diagnoses and find the best treatments for each child.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Georgia NIH-funded |
| Lab location | 1 site (Athens, United States) |
| Project start | September 1, 2023 |
| Project end | August 31, 2027 |
| Funding year | 2024 |
| Award (this year) | $280,725 |
| NIH project number | 5R01NS135574-02 |
| Project ID | NIH-10916511 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are children aged 0-11 years who have been diagnosed with autism spectrum disorder.
✕Less likely to help
Patients who do not have autism spectrum disorder or are older than 11 years may not benefit from this research.
What this research studies
This research investigates how brain structures differ among children with autism spectrum disorder (ASD) by using advanced computational biomechanics. It aims to create detailed models of individual brain architectures to identify both common features and unique abnormalities. By analyzing the mechanical factors that influence brain development, the study seeks to improve our understanding of how these factors contribute to ASD. This approach could lead to more accurate diagnoses and tailored interventions for affected children.
Why it matters
Potential benefit: If successful, this research could lead to improved diagnostic tools and personalized treatment strategies for children with autism.
How similar studies have gone: Previous research has shown promise in using computational models to analyze brain structures, suggesting that this approach could yield valuable insights.
Where this research is happening
-
University of Georgia
Athens, United States Active
Researchers
- Principal investigator: Wang, Xianqiao — University of Georgia
- Study coordinator: Wang, Xianqiao
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.