RT Journal Article
T1 Disentangling tau and brain atrophy cluster heterogeneity across the Alzheimer's disease continuum.
A1 Toledo, Jon B
A1 Liu, Hangfan
A1 Grothe, Michel J
A1 Rashid, Tanweer
A1 Launer, Lenore
A1 Shaw, Leslie M
A1 Snoussi, Haykel
A1 Heckbert, Susan
A1 Weiner, Michael
A1 Trojanwoski, John Q
A1 Seshadri, Sudha
A1 Habes, Mohamad
A1 & for the Alzheimer's Disease Neuroimaging Initiative, 
K1 Alzheimer's disease
K1 amyloid beta
K1 heterogeneity
K1 mangetic resonance imaging
K1 positron emission tomography
K1 prognosis
K1 tau
AB Neuroimaging heterogeneity in dementia has been examined using single modalities. We evaluated the associations of magnetic resonance imaging (MRI) atrophy and flortaucipir positron emission tomography (PET) clusters across the Alzheimer's disease (AD) spectrum. We included 496 Alzheimer's Disease Neuroimaging Initiative participants with brain MRI, flortaucipir PET scan, and amyloid beta biomarker measures obtained. We applied a novel robust collaborative clustering (RCC) approach on the MRI and flortaucipir PET scans. We derived indices for AD-like (SPARE-AD index) and brain age (SPARE-BA) atrophy. We identified four tau (I-IV) and three atrophy clusters. Tau clusters were associated with the apolipoprotein E genotype. Atrophy clusters were associated with white matter hyperintensity volumes. Only the hippocampal sparing atrophy cluster showed a specific association with brain aging imaging index. Tau clusters presented stronger clinical associations than atrophy clusters. Tau and atrophy clusters were partially associated. Each neuroimaging modality captured different aspects of brain aging, genetics, vascular changes, and neurodegeneration leading to individual multimodal phenotyping.
YR 2022
FD 2022-05-23
LK http://hdl.handle.net/10668/22561
UL http://hdl.handle.net/10668/22561
LA en
DS RISalud
RD Jul 31, 2025