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PMID: 20855131 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S.

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

Neurobiology of aging ·Vol. 33 ·No. 5 ·2012-05-00 ·Pages 845-55

Schuff N, Tosun D, Insel PS, Chiang GC, Truran D, Aisen PS, Jack CR, Weiner MW, Alzheimer's Disease Neuroimaging Initiative

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.

MeSH Terms
Aged Aged, 80 and over Aging/pathology Alzheimer Disease/pathology Brain/pathology Cognition Disorders/pathology Cognitive Dysfunction/pathology Female Humans Male Middle Aged Models, Neurological Nonlinear Dynamics
Authors & Affiliations
9 authors, click to expand affiliations / ORCID
Schuff Norbert
Center for Imaging of Neurodegenerative Diseases and VA Medical Center, San Francisco, CA, USA. [email protected]
Tosun Duygu
Insel Philip S
Chiang Gloria C
Truran Diana
Aisen Paul S
Jack Clifford R
Weiner Michael W
Alzheimer's Disease Neuroimaging Initiative
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Article Info
Journal
Neurobiology of aging
Abbr.
Neurobiol Aging
ISSN
1558-1497
DOI
10.1016/j.neurobiolaging.2010.07.012
Email
[email protected]
Published
2012-05-00
Epub
2010-00-19
Pages
845-55
Language
English
Region
United States
NLM ID
8100437
PMCID
PMC3032014
Subset
IM
Grants
NIA NIH HHS · K01 AG030514 · United States
NIA NIH HHS · P50 AG023501 · United States
NIA NIH HHS · U01 AG024904-01 · United States
NINDS NIH HHS · R01 NS031966 · United States
NIA NIH HHS · R01 AG010897 · United States
NIBIB NIH HHS · T32 EB001631-05 · United States
NIA NIH HHS · P01 AG019724 · United States
NIA NIH HHS · P01 AG012435 · United States
NCRR NIH HHS · P41 RR023953 · United States
NCRR NIH HHS · P41 RR023953-027460 · United States
NCRR NIH HHS · U24 RR021992 · United States
NIA NIH HHS · P30 AG010129 · United States
NIA NIH HHS · U01 AG024904 · United States
NIA NIH HHS · U19 AG010483 · United States
NIA NIH HHS · U01 AG024904-03S1A1 · United States
NIBIB NIH HHS · T32 EB001631 · United States
External Links
PubMed source DOI: 10.1016/j.neurobiolaging.2010.07.012 PMC Full Text View journal details
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