Abstract: Systems and methods are described herein for modeling neural architecture. Regions of interest of a brain of a subject can be identified based on image data characterizing the brain of the subject. the identified regions of interest can be mapped to a connectivity matrix. The connectivity matrix can be a weighted and undirected network. A multivariate transformation can be applied to the connectivity matrix to transform the connectivity matrix into a partial correlation matrix. The multivariate transformation can maintain a positive definite constraint for the connectivity matrix. The partial correlation matrix can be transformed into a neural model indicative of the connectivity matrix.
Type:
Grant
Filed:
March 5, 2021
Date of Patent:
December 14, 2021
Assignees:
Ohio State Innovation Foundation, The Penn State Research Foundation, University of North Carolina, University of San Francisco
Inventors:
Skyler Cranmer, Bruce Desmarais, Shankar Bhamidi, James Wilson, Matthew Denny, Zhong-Lin Lu, Paul Stillman
Abstract: Systems and methods are described herein for modeling neural architecture. Regions of interest of a brain of a subject can be identified based on image data characterizing the brain of the subject. the identified regions of interest can be mapped to a connectivity matrix. The connectivity matrix can be a weighted and undirected network. A multivariate transformation can be applied to the connectivity matrix to transform the connectivity matrix into a partial correlation matrix. The multivariate transformation can maintain a positive definite constraint for the connectivity matrix. The partial correlation matrix can be transformed into a neural model indicative of the connectivity matrix.
Type:
Grant
Filed:
September 13, 2017
Date of Patent:
July 13, 2021
Assignees:
Ohio State Innovation Foundation, The Penn State Research Foundation, University of North Carolina, University of San Francisco
Inventors:
Skyler Cranmer, Bruce Desmarais, Shankar Bhamidi, James Wilson, Matthew Denny, Zhong-Lin Lu, Paul Stillman
Abstract: Systems and methods are described herein for modeling neural architecture. Regions of interest of a brain of a subject can be identified based on image data characterizing the brain of the subject. the identified regions of interest can be mapped to a connectivity matrix. The connectivity matrix can be a weighted and undirected network. A multivariate transformation can be applied to the connectivity matrix to transform the connectivity matrix into a partial correlation matrix. The multivariate transformation can maintain a positive definite constraint for the connectivity matrix. The partial correlation matrix can be transformed into a neural model indicative of the connectivity matrix.
Type:
Application
Filed:
March 5, 2021
Publication date:
July 8, 2021
Applicants:
Ohio State Innovation Foundation, The Penn State Research Foundation, University of North Carolina, University of San Francisco
Inventors:
Skyler Cranmer, Bruce Desmarais, Shankar Bhamidi, James Wilson, Matthew Denny, Zhong-Lin Lu, Paul Stillman
Abstract: Systems and methods are described herein for modeling neural architecture. Regions of interest of a brain of a subject can be identified based on image data characterizing the brain of the subject. the identified regions of interest can be mapped to a connectivity matrix. The connectivity matrix can be a weighted and undirected network. A multivariate transformation can be applied to the connectivity matrix to transform the connectivity matrix into a partial correlation matrix. The multivariate transformation can maintain a positive definite constraint for the connectivity matrix. The partial correlation matrix can be transformed into a neural model indicative of the connectivity matrix.
Type:
Application
Filed:
September 13, 2017
Publication date:
July 4, 2019
Applicants:
Ohio State Innovation Foundation, The Penn State Research Foundation, University of North Carolina, University of San Francisco
Inventors:
Skyler Cranmer, Bruce Desmarais, Shankar Bhamidi, James Wilson, Matthew Denny, Zhong-Lin Lu, Paul Stillman
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