The present invention provides a dynamic characteristic diagnosing method performed by a processor of a brain function diagnosing apparatus. The method comprises the following steps of: acquiring brain image data in a resting state; determining state energy for each of N nodes (N is a natural number greater than or equal to 2) based on the brain image data; and estimating a parameter set constituting the state energy by applying the state energy to a variational Bayesian MEM.
METHOD FOR BAYESIAN MAXIMUM ENTROPY MODEL ESTIMATION AND BRAIN FUNCTION DYNAMIC CHARACTERISTICS EVALUATION