Brain Amyloid and the Transition to Dementia in Down Syndrome
David B. KeatoriD, Eric W. Doran, Lisa TayloriD, Michael J Phelan, Christy L. HomiD, Katherine Tseung, Theo G.M. van ErpiD, Steven G. PotkiniD, Adam M. BrickmaniD, Herminia Diana RosasiD, Michael A. YassaiD, Wayne P. SilvermaniD, Ira T. LottiD
Abstract
INTRODUCTIONDown syndrome (DS) is associated with elevated risk for Alzheimers disease (AD) due to beta amyloid (A{beta}) lifelong accumulation. We hypothesized that the spatial distribution of brain A{beta} predicts future dementia conversion in individuals with DS. METHODSWe acquired 18F-Florbetapir PET scans from 19 nondemented individuals with DS at baseline and monitored them for four years, with five individuals transitioning to dementia. Machine learning classification determined features on 18F-Florbetapir standardized uptake value ratio (SUVR) maps that predicted transition. RESULTSIn addition to "AD signature" regions including the inferior parietal cortex, temporal lobes, and the cingulum, we found that A{beta} cortical binding in the prefrontal and superior frontal cortices distinguished subjects who transitioned to dementia. Classification did well in predicting transitioners. DISCUSSIONOur study suggests that specific regional profiles of brain amyloid in older adults with DS may predict cognitive decline and are informative in evaluating the risk for dementia. HighlightsO_LIRegional [18F]-Florbetapir PET predicts future transition to dementia in Downs Syndrome. C_LIO_LIIncreased amyloid in prefrontal, inferior parietal, superior frontal, rostral middle frontal, and posterior cingulate cortices detect transitioiners, with prefrontal and superior frontal being best overall. C_LIO_LIAmyloid PET-based classification able to discriminate between transitioners and non-transitioners. C_LI
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 9
- FWCI
- 1.09
- Field percentile
- top 24%
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- -Florbetapir PET: Towards Predicting Dementia in Adults with Down Syndrome
David B. Keator, Eric W. Doran, … Ira T. Lott·bioRxiv·Feb 12, 2018
- Cognitive Changes associated with Alzheimer’s disease in Down syndrome
Nicholas C. Firth, Carla Marie Startin, … André Strydom·bioRxiv·Feb 21, 2018
- Emergence of distinct and heterogeneous strains of amyloid beta as Alzheimer s disease progresses in Down syndrome
A. M. Maxwell, P. Yuan, … C. Condello·bioRxiv·Jul 30, 2021
- Cortical thickness changes precede high levels of amyloid by at least seven years
James M. Roe, William Jagust, … Yunpeng Wang·bioRxiv·Aug 14, 2025
- Machine learning prediction of future amyloid beta positivity in amyloid-negative individuals
Elaheh Moradi, Mithilesh Prakash, … Alzheimer’s Disease Neuroimaging Initiative·Alzheimer s Research & TherapyPeer-reviewed·Feb 27, 2024
- Amyloid-β deposition in basal frontotemporal cortex is associated with selective disruption of temporal mnemonic discrimination
Casey R. Vanderlip, Lisa Taylor, … Jenna N. Adams·Journal of NeurosciencePeer-reviewed·Jan 22, 2025