A recent study by DongLi Ma in Frontiers in Psychology introduces HCM-Net, a hierarchical deep learning framework combining EEG signal analysis, graph neural networks, and LSTM to quantify crime motivation. The work also introduces DRAS for dynamic risk adaptation, providing a promising use case in forensic psychology.