The application discloses an
evaluation system for an
epilepsy electroacupuncture treatment target based on an amygdala nerve response prediction, relates to the technical field of nerve regulation and
brain function modeling, and realizes the multi-
modal synchronous collection of
brain region potentials, blood
oxygen and metabolic activities through high-density EEG, electrophysiological sensors, fMRI and PET, and constructs a standardized nerve response dataset and a
brain region function mapping matrix. An amygdala prediction response index is calculated and compared with a response threshold, a stimulation response compliance judgment and parameter correction are realized. The nerve response
propagation delay, cooperative
coupling coefficient and
epilepsy wave front tracing time are calculated, a comprehensive target evaluation coefficient is obtained, and effective target points are screened. Based on the treatment scheme implementation of the effective target
point set, the nerve feedback data in the
continuous treatment cycle is monitored in real time, and a nerve
plasticity correction index is calculated, compared with a
plasticity stability threshold, an adaptive
feedback regulation closed loop is formed, and precise prediction and dynamic optimization control of
epilepsy electroacupuncture targets are realized.