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Alzheimer's Research & Therapy
Published in: Alzheimer's Research & Therapy 1/2017

Open Access 01-12-2017 | Research

Amyloid-independent atrophy patterns predict time to progression to dementia in mild cognitive impairment

Authors: Mara ten Kate, Frederik Barkhof, Pieter Jelle Visser, Charlotte E. Teunissen, Philip Scheltens, Wiesje M. van der Flier, Betty M. Tijms

Published in: Alzheimer's Research & Therapy | Issue 1/2017

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Abstract

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.
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Metadata
Title
Amyloid-independent atrophy patterns predict time to progression to dementia in mild cognitive impairment
Authors
Mara ten Kate
Frederik Barkhof
Pieter Jelle Visser
Charlotte E. Teunissen
Philip Scheltens
Wiesje M. van der Flier
Betty M. Tijms
Publication date
01-12-2017
Publisher
BioMed Central
Published in
Alzheimer's Research & Therapy / Issue 1/2017
Electronic ISSN: 1758-9193
DOI
https://doi.org/10.1186/s13195-017-0299-x

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