An MRI brain atrophy and lesion index to assess the progression of structural changes in Alzheimer's disease, mild cognitive impairment, and normal aging: A follow-up study

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DOIResolve DOI: http://doi.org/10.3233/978-1-60750-793-2-643
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TypeArticle
Journal titleAdvances in Alzheimer's Disease
ISSN2210-5727
ISBN9781607507925
Volume2
Pages643651; # of pages: 9
Subjectaged; aging; Alzheimer disease; Alzheimer Disease Assessment Scale cognitive subscale; anatomical variation; article; basal ganglion; brain; brain atrophy and lesion index scale; brain disease; brain structure; controlled study; disease course; female; follow up; human; hypothalamus periventricular nucleus; image analysis; male; mild cognitive impairment; mini mental state examination; nervous system parameters; neuroanatomy; neuroimaging; neuropsychological test; nuclear magnetic resonance imaging; outcome assessment; rating scale; scoring system; structural brain deficit; white matter
AbstractBackground: A brain atrophy and lesion index (BALI) based on high-field magnetic resonance imaging (MRI) has recently been validated to evaluate structural changes in the aging brain. The present study investigated the two-year progression of brain structural deficits in people with Alzheimer's disease (AD) and mild cognitive impairment (MCI), and in healthy control older adults (HC) using the BALI rating. Methods: T1-weighted high-resolution anatomical imaging data using 3 Tesla MRI at baseline (AD = 39, MCI = 82, HC = 58) and at 24-months were obtained from the Alzheimer's disease Neuroimaging Initiative database. Lesions in various brain structures, including the infratentorial and basal ganglia areas, and the periventricular and deep white matter and global atrophy, were evaluated and combined into the BALI scale. Results: Mean progression of brain deficits over two years was evident in all diagnostic groups (p < 0.001) and was statistically greater in MCI-AD converters than in the non-converters (p = 0.044). An increase in the BALI score was significantly associated with cognitive test scores (p = 0.008 for the Mini-Mental State Examination MMSE and p = 0.013 for the Alzheimer's Disease Assessment Scale-Cognitive Subscale ADAS-cog) in a model that adjusted for age, sex, and education. Conclusion: The BALI rating quantified the progression of brain deficits over two years, which is associated with cognitive decline. BALI ratings may be used to help summarize AD-associated structural variations. © 2011 The authors and IOS Press. All rights reserved.
Publication date
LanguageEnglish
AffiliationNational Research Council Canada (NRC-CNRC); NRC Institute for Biodiagnostics (IBD-IBD)
Peer reviewedYes
NPARC number21271595
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Record identifier65fb8925-72f2-4b5d-afaf-18b694fd2849
Record created2014-03-24
Record modified2016-05-09
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