Ocular-vestibular Biomarker Identification for ADHD
试验速览
- 阶段
- 不适用
- 发起方
- 入组人数
- 240
- 试验地点
- 1
- 主要终点
- Eye Tracking ADHD Diagnostic ROC
研究概览
简要总结
This study intends to establish a relationship between oculovestibular eye tracking measures, measures of ADHD, and medication prescribed for ADHD.
详细描述
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 6 Years 至 —（Child, Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Men and women ages 6-70 seeking evaluation and treatment for ADHD.
排除标准
- •Clinical diagnosis of a neurological condition including the following: stroke, multiple sclerosis, epilepsy, brain tumor/cancer, dyslexia, nystagmus and/or other major neurological condition.
- •Clinical diagnosis of any of the following eye-sight abnormalities: uncorrected amblyopia, uncorrected myopia, uncorrected presbyopia, uncorrected farsightedness or uncorrected Astigmatism.
- •Psychiatric history with any of the following:
- •LIFETIME: Clinical diagnosis of a psychotic disorder; bipolar disorder
- •LAST YEAR: Clinical diagnosis of major depressive disorder; PTSD; clinical diagnosis of substance abuse disorder; major anxiety disorder
- •Use of a psychotropic medication
- •Impairment of cranial nerves II-VI
- •Participants who receive a 'Poor' or 'Fair' eye tracking quality result on either their baseline or follow-up evaluations will be excluded from analysis. Subjects may not repeat participation
结局指标
主要结局
Eye Tracking ADHD Diagnostic ROC
时间窗: through study completion, an average of 1 year
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
Eye Tracking and ADHD measure correlation
时间窗: through study completion, an average of 1 year
Zero-order correlations among eye tracking parameters, CAARS ADHD indices, CBRS ADHD indices, and confounding variables
MANCOVA Eye Tracking in ADHD Treatment Population
时间窗: through study completion, an average of 1 year
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)
次要结局
未报告次要终点