Real-time subject-driven functional connectivity analysis
US9275457B1 · kind B1 · utility
Assignee
Inventor
Key dates
| Filing date | Aug 28, 2014 |
| Grant date | Mar 1, 2016 |
| Priority date | — |
| Expiry date | Sep 10, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/031
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and associated systems for real-time subject-driven functional connectivity analysis. One or more processors receive an fMRI time series of sequentially recorded, masked, parcellated images that each represent the state of a subject's brain at the image's recording time as voxels partitioned into a constant set of three-dimensional regions of interest. The processors derive an average intensity of each region's voxels in each image and organize these intensity values into a set of time courses, where each time course contains a chronologically ordered list of average intensity values of one region. The processors then identify time-based correlations between average intensities of each pair of regions and represent these correlations in a graphical format. As each subsequent fMRI image of the same subject's brain arrives, the processors repeat this process to update the time courses, correlations, and graphical representation in real time or near-real time.
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