METHOD FOR BAYESIAN MAXIMUM ENTROPY MODEL ESTIMATION AND BRAIN FUNCTION DYNAMIC CHARACTERISTICS EVALUATION

摘要

The present invention provides a method for diagnosing dynamic characteristics performed by a processor of an apparatus for diagnosing brain function, comprising: acquiring brain image data in a resting state, N (N is a natural number of 2 or more) nodes based on the brain image data And determining a star state energy, and estimating a parameter set constituting the state energy by applying the state energy to a variational Bayesian MEM (MEM).