A study on post-traumatic stress disorder classification based on multi-atlas multi-kernel graph convolutional network

• Published in: Sheng wu yi xue gong cheng xue za zhi Vol. 41; no. 6; p. 1110
• Main Authors: Zhou, Lijun, Zhu, Hongru, Liu, Yunfei, Mo, Xian, Yuan, Jun, Luo, Changyu, Zhang, Junran
• Format: Journal Article
• Language: Chinese
• Published: China 25.12.2024
• Subjects: Algorithms; Brain - diagnostic imaging; Brain - physiopathology; Humans; Magnetic Resonance Imaging; Neural Networks, Computer; Stress Disorders, Post-Traumatic - classification; Stress Disorders, Post-Traumatic - diagnosis; Stress Disorders, Post-Traumatic - diagnostic imaging; Functional connectivity; Multi-atlas; Multi-kernel graph convolution; Classification; Post-traumatic stress disorder

Post-traumatic stress disorder (PTSD) presents with complex and diverse clinical manifestations, making accurate and objective diagnosis challenging when relying solely on clinical assessments. Therefore, there is an urgent need to develop reliable and objective auxiliary diagnostic models to provid...