Distinct subtypes of spatial brain metabolism patterns in Alzheimer's disease identified by deep learning-based FDG PET clusters

CONCLUSION: We identified distinct subtypes of AD with different clinicopathologic features. The deep learning-based approach to distinguish AD subtypes on FDG PET could have implications for predicting individual outcomes and provide a clue to understanding the heterogeneous pathophysiology of AD.PMID:37735259 | DOI:10.1007/s00259-023-06440-9

Source: Molecular Medicine - September 21, 2023 Category: Molecular Biology Authors: Hyun Gee Ryoo Hongyoon Choi Kuangyu Shi Axel Rominger Dong Young Lee Dong Soo Lee Alzheimer ’s Disease Neuroimaging Initiative Source Type: research