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:
Aug. 26, 2025

Filed:

Jun. 19, 2019
Applicant:

Advanced Telecommunications Research Institute International, Kyoto, JP;

Inventors:

Jun Morimoto, Soraku-gun, JP;

Mitsuo Kawato, Soraku-gun, JP;

Noriaki Yahata, Soraku-gun, JP;

Ryuichiro Hashimoto, Soraku-gun, JP;

Kazuhisa Shibata, Soraku-gun, JP;

Takeo Watanabe, Soraku-gun, JP;

Yuka Sasaki, Soraku-gun, JP;

Nobumasa Kato, Soraku-gun, JP;

Kiyoto Kasai, Soraku-gun, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/055 (2006.01); A61B 5/00 (2006.01); A61B 5/026 (2006.01); A61B 5/16 (2006.01); G01R 33/48 (2006.01); G16H 20/10 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); A61B 5/369 (2021.01); G16H 50/70 (2018.01);
U.S. Cl.
CPC ...
A61B 5/055 (2013.01); A61B 5/0263 (2013.01); A61B 5/16 (2013.01); A61B 5/4064 (2013.01); A61B 5/4076 (2013.01); A61B 5/4088 (2013.01); A61B 5/7246 (2013.01); A61B 5/7264 (2013.01); G01R 33/4806 (2013.01); G16H 20/10 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); A61B 5/026 (2013.01); A61B 5/0261 (2013.01); A61B 5/369 (2021.01); A61B 5/4848 (2013.01); A61B 5/7267 (2013.01); A61B 2560/0475 (2013.01); A61B 2576/026 (2013.01); G01R 33/4808 (2013.01); G16H 50/70 (2018.01);
Abstract

Provided is a method of analyzing brain activities for realizing a biomarker for neurological/mental disorder, based on brain function imaging. From measured data of resting-state functional connectivity MRI of a healthy group and a patient group, correlation matrix () of degree of brain activities among prescribed brain regions is derived for each subject. Feature extraction is executed by regularized canonical correlation analysis () on the correlation matrix () and attributes of the subject including a disease/healthy label of the subject. Based on the result of regularized canonical correlation analysis, by discriminant analysis () through sparse logistic regression, a discriminator () is generated.


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