DecGAN: Decoupling Generative Adversarial Network for Detecting Abnormal Neural Circuits in Alzheimer's Disease

• Published in: IEEE transactions on artificial intelligence pp. 1 - 14
• Main Authors: Pan, Junren, Zuo, Qiankun, Wang, Bingchuan, Chen, C.L. Philip, Lei, Baiying, Wang, Shuqiang
• Format: Journal Article
• Language: English
• Published: IEEE 17.06.2024
• Subjects: Alzheimer's disease; Brain modeling; Brain Networks; Decoupling Algorithm; Diffusion tensor imaging; Feature extraction; Hypergraph; Integrated circuit modeling; Multimodal Neuroimaging; Neural circuits; Neuroimaging; Sparse Capacity Loss

One of the main reasons for Alzheimer's disease (AD) is the disorder of some neural circuits. Existing methods for AD prediction have achieved great success, however, detecting abnormal neural circuits from the perspective of brain networks is still a big challenge. In this work, a novel decoup...