The application discloses an
information processing method and device for
brain dysfunction auxiliary analysis, equipment and medium, relates to the technical field of
data analysis, and comprises the following steps: acquiring initial functional magnetic
resonance data, and preprocessing the initial functional magnetic
resonance data to obtain target functional magnetic
resonance data; generating
feature data of each
brain region based on the target functional magnetic resonance data, and determining the target importance of each
brain region and the target correlation between each
brain region based on the
feature data; determining the target spatial coding of each brain region based on the comparison result of each target correlation and a preset threshold, and constructing a target graph structure coding based on the target importance, the target correlation and the target spatial coding of each brain region; generating enhanced features based on each target graph structure coding and each
feature data, determining a
classification result based on the enhanced features, and generating and outputting a
brain dysfunction analysis result by using the
classification result. The application can improve the accuracy of functional magnetic resonance
data classification and meet the medical
image analysis demand.