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Updated: Feb 23, 2026

Using Retinal Imaging to Study Dementia
Published on: November 6, 2017
Amyloid-independent atrophy patterns predict time to progression to dementia in mild cognitive impairment
Mara Ten Kate1,2, Frederik Barkhof3,4, Pieter Jelle Visser5,6
1Alzheimer Center & Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands. m.tenkate1@vumc.nl.
Background:
Amyloid pathology in subjects with mild cognitive impairment (MCI) is an important risk factor for progression to dementia due to Alzheimer's disease. Predicting the onset of dementia is challenging even in the presence of amyloid, as time to progression varies considerably among patients and depends on the onset of neurodegeneration. Survival analysis can account for variability in time to event, but has not often been applied to MRI measurements beyond singular predefined brain regions such as the hippocampus. Here we used a voxel-wise survival analysis to identify in an unbiased fashion brain regions where decreased gray matter volume is associated with time to dementia, and assessed the effects of amyloid on these associations.
Methods:
We included 276 subjects with MCI (mean age 67 ± 8, 41% female, mean Mini-Mental State Examination 26.6 ± 2.4), baseline 3D T1-weighted structural MRI, baseline cerebrospinal fluid (CSF) biomarkers, and prospective clinical follow-up. We fitted for each voxel a proportional Cox hazards regression model to study whether decreased gray matter volume predicted progression to dementia in the total sample, and stratified for baseline amyloid status.
Results:
Dementia at follow-up occurred in 122 (44%) subjects over an average follow-up period of 2.5 ± 1.5 years. Baseline amyloid positivity was associated with progression to dementia (hazard ratio 2.4, p < 0.001). Within amyloid-positive subjects, decreased gray matter volume in the hippocampal, temporal, parietal, and frontal regions was associated with more rapid progression to dementia (median (interquartile range) hazard ratio across significant voxels 1.35 (1.32-1.40)). Repeating the analysis in amyloid-negative subjects revealed similar patterns (median (interquartile range) hazard ratio 1.76 (1.66-1.91)).
Conclusions:
In subjects with MCI, both abnormal amyloid CSF and decreased gray matter volume were associated with future progression to dementia. The spatial pattern of decreased gray matter volume associated with progression to dementia was consistent for amyloid-positive and amyloid-negative subjects.
Insights
Predicting dementia progression in mild cognitive impairment (MCI) is crucial. This study found that reduced gray matter volume in specific brain regions, alongside amyloid pathology, predicts faster progression to dementia in MCI patients.
Area of Science:
- Neuroscience
- Radiology
- Gerontology
Background:
- Amyloid pathology is a key risk factor for Alzheimer's disease dementia in mild cognitive impairment (MCI).
- Predicting dementia onset in MCI is challenging due to variable progression rates influenced by neurodegeneration.
- Voxel-wise survival analysis offers an unbiased approach to assess MRI-based neurodegeneration and its link to dementia progression.
Purpose of the Study:
- To identify brain regions with decreased gray matter volume that predict time to dementia in MCI using voxel-wise survival analysis.
- To assess the influence of amyloid status on the association between gray matter volume and dementia progression.
Main Methods:
- Included 276 MCI subjects with baseline MRI, CSF biomarkers, and clinical follow-up.
- Applied voxel-wise proportional Cox hazards regression to structural MRI data.
- Stratified analyses by baseline amyloid status to evaluate its effect on dementia progression.
Main Results:
- 44% of subjects progressed to dementia within an average follow-up of 2.5 years.
- Amyloid positivity significantly increased dementia risk (HR 2.4, p < 0.001).
- Decreased gray matter volume in widespread regions (hippocampal, temporal, parietal, frontal) correlated with faster dementia progression in both amyloid-positive and amyloid-negative MCI subjects.
Conclusions:
- Both abnormal amyloid levels and reduced gray matter volume are associated with future dementia in MCI.
- The pattern of gray matter loss predicting dementia progression is consistent regardless of amyloid status in MCI.
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