Centrality rankings of network graphs generated using connectomic brain data
US11264137B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 8, 2020 |
| Grant date | Mar 1, 2022 |
| Priority date | — |
| Expiry date | Oct 8, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H20/70
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a mental health prediction for a patient using a centrality ranking of the brain of the patient. One of the methods includes obtaining brain data of a patient, wherein the brain data comprises, for each of a plurality of pairs of parcellations formed from a set of parcellations where each pair comprises a first parcellation and a second parcellation, data characterizing a number of tracts connecting the first parcellation and the second parcellation; determining a network graph from the brain data; generating, for each of a plurality of nodes in the network graph, a measure of centrality of the node; determining a centrality ranking of the plurality of nodes of the network graph according to the respective measures of centrality; generating a mental health prediction for the patient using the determined centrality ranking.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.