Nonlinear time course of brain volume loss in cognitively normal and impaired elders

Abstract The goal was to elucidate the time course of regional brain atrophy rates relative to age in cognitively normal (CN) aging, mild cognitively impairment (MCI), and Alzheimer's disease (AD), without a priori models for atrophy progression. Regional brain volumes from 147 cognitively norm...

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Bibliographic Details
Published in:Neurobiology of aging 2012-05, Vol.33 (5), p.845-855
Main Authors: Schuff, Norbert, Tosun, Duygu, Insel, Philip S, Chiang, Gloria C, Truran, Diana, Aisen, Paul S, Jack, Clifford R, Weiner, Michael W
Format: Article
Language:English
Subjects:
Aged
Aged, 80 and over
Aging
Aging - pathology
Alzheimer Disease - pathology
Alzheimer's disease
Atrophy
Brain
Brain - pathology
Brain atrophy
Cognition Disorders - pathology
Cognitive Dysfunction - pathology
Differentiation
Female
Generalized additive models
Hippocampus
Humans
Internal Medicine
Magnetic resonance imaging
Male
Middle Aged
Mild cognitive impairment
Models, Neurological
Nervous system
Neurodegenerative diseases
Neurology
Nonlinear Dynamics
Temporal lobe
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Summary:Abstract The goal was to elucidate the time course of regional brain atrophy rates relative to age in cognitively normal (CN) aging, mild cognitively impairment (MCI), and Alzheimer's disease (AD), without a priori models for atrophy progression. Regional brain volumes from 147 cognitively normal subjects, 164 stable MCI, 93 MCI-to-AD converters and 111 ad patients, between 51 and 91 years old and who had repeated 1.5 T magnetic resonance imaging (MRI) scans over 30 months, were analyzed. Relations between regional brain volume change and age were determined using generalized additive models, an established nonparametric concept for approximating nonlinear relations. Brain atrophy rates varied nonlinearly with age, predominantly in regions of the temporal lobe. Moreover, the atrophy rates of some regions leveled off with increasing age in control and stable MCI subjects whereas those rates progressed further in MCI-to-AD converters and AD patients. The approach has potential uses for early detection of AD and differentiation between stable and progressing MCI.
ISSN:0197-4580
1558-1497
1558-1497
DOI:10.1016/j.neurobiolaging.2010.07.012