Unknown

Dataset Information

0

Distinct tau PET patterns in atrophy-defined subtypes of Alzheimer's disease.


ABSTRACT: INTRODUCTION:Differential patterns of brain atrophy on structural magnetic resonance imaging (MRI) revealed four reproducible subtypes of Alzheimer's disease (AD): (1) "typical", (2) "limbic-predominant", (3) "hippocampal-sparing", and (4) "mild atrophy". We examined the neurobiological characteristics and clinical progression of these atrophy-defined subtypes. METHODS:The four subtypes were replicated using a clustering method on MRI data in 260 amyloid-?-positive patients with mild cognitive impairment or AD dementia, and we subsequently tested whether the subtypes differed on [18 F]flortaucipir (tau) positron emission tomography, white matter hyperintensity burden, and rate of global cognitive decline. RESULTS:Voxel-wise and region-of-interest analyses revealed the greatest neocortical tau load in hippocampal-sparing (frontoparietal-predominant) and typical (temporal-predominant) patients, while limbic-predominant patients showed particularly high entorhinal tau. Typical patients with AD had the most pronounced white matter hyperintensity load, and hippocampal-sparing patients showed the most rapid global cognitive decline. DISCUSSION:Our data suggest that structural MRI can be used to identify biologically and clinically meaningful subtypes of AD.

SUBMITTER: Ossenkoppele R 

PROVIDER: S-EPMC7012375 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

altmetric image

Publications


<h4>Introduction</h4>Differential patterns of brain atrophy on structural magnetic resonance imaging (MRI) revealed four reproducible subtypes of Alzheimer's disease (AD): (1) "typical", (2) "limbic-predominant", (3) "hippocampal-sparing", and (4) "mild atrophy". We examined the neurobiological characteristics and clinical progression of these atrophy-defined subtypes.<h4>Methods</h4>The four subtypes were replicated using a clustering method on MRI data in 260 amyloid-β-positive patients with m  ...[more]

Similar Datasets

| S-EPMC10984445 | biostudies-literature
| S-EPMC5394684 | biostudies-literature
| S-EPMC5343676 | biostudies-literature
| S-EPMC9945609 | biostudies-literature
| S-EPMC5006248 | biostudies-literature
| S-EPMC6610969 | biostudies-literature
| S-EPMC3175379 | biostudies-literature
| S-EPMC4692964 | biostudies-literature
| S-EPMC6511453 | biostudies-literature
| S-EPMC7035952 | biostudies-literature