This study intends to establish a relationship between oculovestibular eye tracking measures, measures of ADHD, and medication prescribed for ADHD.
This study will use a predictive visual tracking paradigm (SyncThink EYE-SYNC eye tracking paradigm) to dynamically capture the participants' attentional state. It will examine the validity of the eye tracking paradigm in identifying the disruption in attentional networks caused by ADHD by examining the association between eye tracking performances and well-established standardized measures of ADHD.
Study Type
OBSERVATIONAL
Enrollment
240
Nystagmograph used to measure eye movement
Palo Alto Medical Foundation - San Carlos Center
San Carlos, California, United States
RECRUITINGEye Tracking and ADHD measure correlation
Zero-order correlations among eye tracking parameters, CAARS ADHD indices, CBRS ADHD indices, and confounding variables
Time frame: through study completion, an average of 1 year
Eye Tracking ADHD Diagnostic ROC
Specific eye tracking parameters will be compared to determine which have the greatest diagnostic utility. Supervised machine learning models will be generated and optimized ROC AUC for both children and adults using eye tracking parameters as input and CAARS indices, CBRS indices, and clinical diagnosis as outcomes
Time frame: through study completion, an average of 1 year
MANCOVA Eye Tracking in ADHD Treatment Population
Repeated measures multivariate analysis of covariance (MANCOVA) will be used to compare eye tracking performance over time in adults and children with ADHD (medicated and unmedicated)
Time frame: through study completion, an average of 1 year
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