Disclosed are a method and a device for constructing and identifying multiple mood states using directed dynamic functional brain network, the method comprising: after acquired electroencephalogram data is preprocessed, same is decomposed into four standard sub-bands; then performing time window segmentation on an electroencephalogram signal of each standard sub-band; calculating a directed functional brain network matrix by means of a GPDC; then performing dynamic programming on the directed functional brain network matrix according to a time sequence, to thereby obtain a dynamic network on a time scale; and performance parameters of information communication of the dynamic network may be calculated for the acquired dynamic network, the performance parameters comprising global efficiency and local efficiency, and statistical analysis being performed on parameters under different emotions.
METHOD AND DEVICE FOR CONSTRUCTING AND IDENTIFYING MULTIPLE MOOD STATES USING DIRECTED DYNAMIC FUNCTIONAL BRAIN NETWORK