Alzheimer's Imaging Consortium
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View abstract on PubMed
Summary
This summary is machine-generated.Alzheimer's disease research often assumes a single amyloid-beta accumulation path. This study identified five distinct cortical patterns of amyloid-PET signal, revealing heterogeneity in Alzheimer's disease progression.
Area Of Science
- Neuroimaging
- Biomarkers
- Alzheimer's Disease Research
Background
- Current Alzheimer's disease (AD) research often assumes a uniform amyloid-beta (Aβ) accumulation trajectory.
- Amyloid positron emission tomography (PET) studies indicate the existence of multiple Aβ accumulation patterns.
Purpose Of The Study
- To characterize AD heterogeneity by analyzing amyloid-PET data using independent spatial component analysis.
- To identify distinct spatial patterns of Aβ deposition in the brain.
Main Methods
- Spatial decomposition of amyloid-PET scans from two radiotracers ([18F]Flutemetamol and [18F]Florbetaben) using group-level independent component analysis (gICA).
- Analysis included non-demented older individuals (CDR < 1, age ≥ 50) from the pan-European AMYPAD study.
- Investigated relationships between identified components, global Aβ burden (Centiloid), and regional gray matter (GM) volumes.
Main Results
- Five cortical (frontal, parietal, occipital, left temporal, right temporal) and four non-cortical components of amyloid-PET signal were identified.
- Cortical components showed strong associations with global Aβ burden (Centiloid), while non-cortical components had minimal association.
- Cortical component loading, particularly in temporal regions, was negatively associated with GM volume, while other components showed positive associations.
Conclusions
- Identified five cortical and four non-cortical independent components of amyloid-PET signal with high cross-tracer consistency.
- These components demonstrated differential relationships with gray matter volumes, highlighting AD heterogeneity.
- The independent component analysis method effectively quantifies features capturing diverse disease processes in Alzheimer's disease.
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