Patent ID: 9454641
Filing Date: 2016-09-27
CPC Classification: G01R,G06T,G16H,G16Z

Claim Text:
1. A method, comprising: obtaining a raw spatio-temporal dataset acquired from scanning a brain of a subject performing a given task; constructing a full spatio-temporal model using the raw spatio-temporal dataset, wherein the full spatio-temporal model represents brain activity that occurs in all regions of the subject's brain in response to the subject performing the given task; selecting model parameters from the full spatio-temporal model which meet or exceed a threshold parameter that defines a level of causal relation between voxels in the obtained dataset, wherein the threshold parameter is based on a prediction power threshold value that specifies a threshold for which brain activity in a given voxel predicts brain activity in another voxel; generating a reduced model representation of the full spatio-temporal model using the selected model parameters; storing the reduced model of the full spatio-temporal model in a data storage system; and utilizing the reduced model of the full spatio-temporal model to predict future brain activity of the subject by performing a process comprising: wherein the method is performed by a computer executing program code.