ADVANCED TELECOMMUNICATIONS RESEARCH INSTITUTE INTERNATIONAL
发明人:
Giuseppe LISI,Jun MORIMOTO,Mitsuo KAWATO,Noriaki YAHATA
申请号：
US15779011
公开号：
US20200163609A1
申请日:
2016.11.22
申请国别(地区):
US
年份:
2020
代理人:
摘要：
[Object] An object is to provide a brain activity analyzing method for realizing a biomarker using brain function imaging for neurological/mental disorders.[Solution] From data of resting-state functional connectivity MRI obtained by measuring groups of healthy subjects and patients, a correlation matrix of degrees of activities among prescribed brain regions is derived. By a sparse canonical correlation analysis (SCCA) of attributes of subjects and the correlation matrix, elements of correlation matrix that connect to canonical variables corresponding only to the diagnosis label are extracted. By sparse logistic regression (SLR) during Leave-One-Out Cross Validation of a first sum-set of elements of correlation matrix obtained as a result of feature extraction by a sparse regularized canonical correlation analysis, a second sum-set of elements of the correlation matrix is extracted. By discrimination analysis using sparse logistic regression on the second sum-set, a discriminator is generated.
