NCT03523663

System for Determining Ideal Drug Doses for ADHD - Stages 1 and 2

Algorithm to Quantitatively Determine the Ideal Drug Dose to Treat Attention Deficit Hyperactivity Disorder

• Status: Terminated
• Phase: —
• Study type: Observational
• Enrollment: 46 (actual)
• Sponsor: University of Wisconsin, Madison · Academic / Other
• Sex: All
• Age: 8 Years – 12 Years
• Healthy volunteers: Accepted

Summary

The goal of this study is to create a formal, quantitative methodology to determine what is the most beneficial dose of Central Nervous System (CNS) stimulant (Ritalin, methylphenidate) to improve cognitive and behavioral function of children diagnosed with Attention Deficit Hyperactivity Disorder (ADHD) individually. If successful, it will change the way in which the dose of CNS stimulant for treating ADHD is determined for children in need of therapeutic intervention. The project will be focused on developing the necessary methodology to analyze the children's data with the drift-decision model (DDM), and to develop the required technology, i.e., a computer game with which to measure cognitive/behavioral function and its validation with eye-tracking measurements.

Conditions

• Attention Deficit Hyperactivity Disorder

Interventions

Type	Name	Description
OTHER	no intervention. measure eye movement data

Timeline

• Start date: 2016-01-01
• Primary completion: 2019-09-11
• Completion: 2019-09-11
• First posted: 2018-05-14
• Last updated: 2021-12-10

Locations

1 site across 1 country: United States