The present invention relates to an apparatus and method for providing epilepsy diagnosis information for diagnosing the presence of epilepsy, and further, the degree of brain network change, using a patient''s resting EEG, which is used to generate a plurality of resting EEG from previously stored medical data. After obtaining, the brainwave data collection unit for classifying and storing according to the degree of change in the brain network； After measuring the patient''s EEG, the EEG measurement unit for extracting and providing only the EEG corresponding to the resting period； A functional connectivity matrix generator for generating a functional connectivity matrix for each resting EEG stored in the EEG data collection unit when learning a neural network, and for generating a functional connectivity matrix for the patient EEG when analyzing a patient EEG； A graph theory analysis unit for grasping a graph theory analysis value by performing a graph theory analysis on the functional connectivity matrix； When learning a neural network, the graph theory analysis value corresponding to each resting EEG stored in the EEG data collection unit is taken as an input condition, and a plurality of learning data having a degree of brain network change as an output condition is generated, and then the plurality of learning A neural network learning unit that repeatedly trains a neural network through data； And an epilepsy analyzer configured to grasp and report a degree of change in a brain network corresponding to a graph theory analysis value derived from the patient''s brain wave using the neural network when analyzing the patient EEG.본 발명은 환자의 휴지기 뇌파를 이용하여 뇌전증 여부, 더 나아가서는 뇌 네트워크 변화정도를 진단할 수 있도록 하는 뇌전증 진단 정보 제공 장치 및 방법에 관한 것으로, 이는 기 저장된 의료 데이터로부터 다수의 휴지기 뇌파를 획득한 후, 뇌 네트워크 변화 정도에 따라 분류하여 저장하는 뇌파 자료 수집부； 환자 뇌파를 측정한 후, 휴지기 구간에 해당하는 뇌파만을 추출 및 제공하는 뇌파 측정부； 신경망 학습시에는 상기 뇌파 자료 수집부에 저장된 휴지기 뇌파 각각에 대한 기능적 연결성 매트릭스를 생성하고, 환자 뇌파 분석시에는 상기 환자 뇌파에 대한 기능적 연결성 매트릭스를 생성하는 기능적 연결성 매트릭스 생
