Pattern analysis based on fMRI data collected while subjects perform working memory tasks allowing high-precision diagnosis of ADHD
AUTHORS
Hammer
Rubi ,
Booth
JRJames ,
Borhani
R ,
Katsaggelos
AKA .
US10571539B2. 2020 2 25; ().
ABSTRACT
Using a plurality of distinct behavioral tasks conducted in a functional magnetic resonance imaging (fMRI) scanner, fMRI data acquired from one or more subjects performing working memory tasks can be used for diagnosing psychiatrics and neurological disorders. A classification algorithm can be used to determine a classification model, tune the model, and apply the model. An output indicative of a subject’s clinical condition can then be provided and used to diagnose new cases.