Nine Neuroimaging-AI Endophenotypes Unravel Disease Heterogeneity and Partial Overlap across Four Brain Disorders.

• Tác giả: Aleix Boquet-Pujadas, Ganesh B Chand, Yuhan Cui, Christos Davatzikos, Guray Erus, Gyujoon Hwang, Ilya Nasrallah, Theodore Satterthwaite, Li Shen, Haochang Shou, Ye Ella Tian, Arthur W Toga, Erdem Varol, Junhao Wen, Zhijian Yang, Andrew Zalesky
• Ngôn ngữ: eng
• Ký hiệu phân loại: 623.8728 Nautical engineering and seamanship
• Thông tin xuất bản: United States : medRxiv : the preprint server for health sciences , 2025
• Bộ sưu tập: NCBI
• ID: 708916

Tóm tắt

Disease heterogeneity poses a significant challenge for precision diagnostics. Recent work leveraging artificial intelligence has offered promise to dissect this heterogeneity by identifying complex intermediate brain phenotypes, herein called dimensional neuroimaging endophenotypes (DNEs). We advance the argument that these DNEs capture the degree of expression of respective neuroanatomical patterns measured, offering a dimensional neuroanatomical representation for studying disease heterogeneity and similarities of neurologic and neuropsychiatric diseases. We investigate the presence of nine such DNEs derived from independent yet harmonized studies on Alzheimer's disease (AD1-2)