The purpose of this study is to refine a new assessment tool for Attention Deficit/Hyperactivity Disorder (ADHD) and then to test its validity (i.e. ability to discriminate between individuals with ADHD and healthy controls.
The purpose of this study is to build upon the success the novel approach and software for analyzing electroencephalography (EEG) data to identify biomarkers of ADHD in adults by further refining the method. Then to test the ability of this new assessment tool to differentiate between adults with ADHD and healthy controls by comparing the classification accuracy of the metrics from the new tool to the classification accuracy of existing behavioral tests for ADHD.
Study Type
OBSERVATIONAL
Enrollment
258
Individuals in both groups are asked to perform standard behavioral tests and an electroencephalography (EEG) test.
University of California Berkeley
Berkeley, California, United States
UCLA Semel Institute
Los Angeles, California, United States
Oregon Health & Science University
Portland, Oregon, United States
NAT Slow Fluctuation Test and Retest to assess change for Test Replicability
The NAT EEG test simultaneously generates 2 EEG values and 1 behavioral value that are used together as an assessment metric for ADHD. This is a one-time measure to assess its magnitude in ADHD vs Control.
Time frame: A single measurement is made for each individual at DAY 1 - the time of the brain wave (EEG) test; and a single measure is made again in each individual at least 30 days later (DAY 2) to identify any differences, to assess replicability of the measure.
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