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Pattern analysis based on fMRI data collected while subjects perform working memory tasks allowing high-precision diagnosis of ADHD


Hammer Rubi , Booth JRJames , Borhani R , Katsaggelos AKA . US10571539B2. 2020 2 25; ().


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.