The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 23, 2025

Filed:

Mar. 09, 2022
Applicant:

Washington University, St. Louis, MO (US);

Inventors:

Eric Leuthardt, St. Louis, MO (US);

Joshua Shimony, St. Louis, MO (US);

Patrick Luckett, St. Louis, MO (US);

John Lee, St. Louis, MO (US);

Assignee:

Washington University, St. Louis, MO (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 30/20 (2018.01); G01R 33/48 (2006.01); G06N 3/0464 (2023.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
G16H 30/20 (2018.01); G01R 33/4806 (2013.01); G06N 3/0464 (2023.01); G06N 3/08 (2013.01); A61B 2576/026 (2013.01);
Abstract

A method for mapping brain function of a subject includes receiving a dataset of resting state fMRI (RS-fMRI) three dimensional (3D) image frames of the subject's brain, and inputting the 3D image frames to a deep learning artificial neural network. For each voxel of each 3D image frame and for each resting state network of a plurality of resting state networks, the deep learning artificial neural network calculates a probability that the voxel belongs to the resting state network. The deep learning artificial neural network is trained beforehand using a plurality of 3D image frames including previously defined resting state networks obtained from a plurality of calibration subjects. The method includes generating one or more functional map of the plurality of resting state networks of the subject's brain using the probabilities calculated by the artificial neural network.


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