Decoding from brain imaging data of individual subjects by using additional imaging data from other subjects
US11002814B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 25, 2017 |
| Grant date | May 11, 2021 |
| Priority date | — |
| Expiry date | Jul 3, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/70
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A computer-implemented method for decoding brain imaging data of individual subjects by using additional imaging data from other subjects includes receiving a plurality of functional Magnetic Resonance Imaging (fMRI) datasets corresponding to a plurality of subjects. Each fMRI dataset corresponds to a distinct subject and comprises brain activation patterns resulting from presentation of a plurality of stimuli to the distinct subject. A group dimensionality reduction (GDR) technique is applied to the example fMRI datasets to yield a low-dimensional space of response variables shared by the plurality of subjects. A model is trained to predict a set of target variables based on the low-dimensional space of response variables shared by all subjects, wherein the set of target variables comprise one or more characteristics of the plurality of stimuli.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.