Ohio State Innovation Foundation;The Penn State Research Foundation;University of North Carolina;University of San Francisco
发明人:
CRANMER, Skyler,DESMARAIS, Bruce,BHAMIDI, Shankar,WILSON, James,DENNY, Mathew,LU, Zhong-Lin,STILLMAN, Paul
申请号：
EP17851449
公开号：
EP3512415A4
申请日:
2017.09.13
申请国别(地区):
EP
年份:
2020
代理人:
摘要：
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.
