Invention Application
- Patent Title: METHOD, DEVICE AND PROGRAM FOR DETERMINING A DISEASE SCORE
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Application No.: PCT/EP2019/052548Application Date: 2019-02-01
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Publication No.: WO2019149910A1Publication Date: 2019-08-08
- Inventor: HASSAN, Mahmoud , WENDLING, Fabrice , KABBARA, Aya
- Applicant: UNIVERSITÉ DE RENNES 1 , INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE
- Applicant Address: 2 rue du Thabor 35000 RENNES Cedex FR
- Assignee: UNIVERSITÉ DE RENNES 1,INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE
- Current Assignee: UNIVERSITÉ DE RENNES 1,INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE
- Current Assignee Address: 2 rue du Thabor 35000 RENNES Cedex FR
- Agency: VIDON BREVETS & STRATÉGIE
- Priority: EP18155011.2 20180202; EP18197414.8 20180928
- Main IPC: G16H50/20
- IPC: G16H50/20 ; A61B5/00 ; G16H20/40
Abstract:
The invention relates to a method of constructing a value representative of an interaction between a plurality of brain regions, the method being implemented by an electronic device, said electronic device comprising a processor and a memory. According to the invention, the method comprises: - obtaining (10), in the form of connectivity matrices, dynamic functional networks, which are representative of electrical signals measured for a predetermined number of points of interest, called nodes, within a cerebral cortex during a given time period; - determining (20), from at least one of said connectivity matrices, a global efficiency (GE) score and at least one clustering coefficient score (Cc) for each node of said at least one of said connectivity matrices; - calculating (30) a value representative of an interaction between the plurality of brain networks in the form of a distribution ratio (Dl) using said global efficiency score and said clustering coefficient scores (Cc).
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