The purpose of this study is develop a new assessment tool for Attention Deficit-Hyperactivity Disorder (ADHD) and to then test its validity (i.e. ability to discriminate between individuals with ADHD and healthy controls).
The purpose of this study is to develop a novel approach and software for analyzing electroencephalography (EEG) data to identify biomarkers of ADHD. Then to test the ability of this 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
80
Individuals in both groups are asked to perform standard behavioral tests and an electroencephalography (EEG) test.
UCLA Semel Institute
Los Angeles, California, United States
NAT Slow Fluctuation Measure
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 Controls.
Time frame: A single measurement is made for each individual at DAY 1 - the time of the brain wave test.
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