Pattern analysis based on fMRI data collected while subjects perform working memory tasks allowing high-precision diagnosis of ADHD
US10571539B2 · kind B2 · utility
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Key dates
| Filing date | Jun 12, 2015 |
| Grant date | Feb 25, 2020 |
| Priority date | — |
| Expiry date | Sep 4, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30016
- WIPO fieldMedical technology
- WIPO sectorInstruments
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.