Analyzing brain and eye movement data to understand autism in children
Functional Data Analysis for High-Dimensional Biobehavioral Data
This study is looking at how children with autism think and process information by using special tools that measure brain activity and eye movements, with the goal of finding better ways to identify and support their needs.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California Los Angeles NIH-funded |
| Lab location | 1 site (Los Angeles, United States) |
| Project ID | NIH-10791759 on NIH RePORTER |
What this research studies
This research investigates autism spectrum disorder (ASD) in children by analyzing data from two key methods: electroencephalography (EEG) and eye-tracking (ET). By collecting and examining data from multiple visits and tasks, the study aims to develop advanced statistical methods that can integrate information from both EEG and ET to better understand the cognitive processes involved in ASD. This comprehensive approach seeks to improve the accuracy of biomarker identification and enhance treatment strategies for affected children.
Who could benefit from this research
Good fit: Ideal candidates for this research are children aged 0-11 years who have been diagnosed with autism spectrum disorder.
Not a fit: Patients who do not have autism spectrum disorder or are outside the age range of 0-11 years may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved diagnostic tools and treatment options for children with autism spectrum disorder.
How similar studies have performed: Previous research has shown promise in using EEG and ET for understanding autism, but this approach of integrating both modalities is relatively novel.
Where this research is happening
Los Angeles, United States
- University of California Los Angeles — Los Angeles, United States (Active)
Researchers
- Principal investigator: Senturk, Damla — University of California Los Angeles
- Study coordinator: Senturk, Damla
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 below.