Background: This study investigates how T1-weighted MRI can be used to evaluate brain anatomical changes. We investigated these changes in Alzheimer’s disease (AD) and normal aging. Methods: A semiquantitative brain atrophy and lesion index (BALI) was constructed by adapting existing visual rating scales and validated in 3 datasets. Results: The T1- and T2-weighted-imaging-based scores were highly correlated. They were both closely associated with age and with cognitive test scores. Conclusion: The T1-based BALI helps describe brain structural variability in AD, mild cognitive impairment and normal aging.
© 2010 S. Karger AG, Basel
- Alzheimer’s disease
- Brain lesions
- Brain atrophy
- Mild cognitive impairment
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Xiaowei Song, PhD, MSCS; Kenneth Rockwood, MD, FRCPC
Neuroimaging Research Laboratory, National Research Council Canada
Institute for Biodiagnostics (Atlantic)
Suite 3900, 1796 Summer Street, Halifax, NS B3H 3A7 (Canada)
E-Mail Xiaowei.Song@nrc.ca; Kenneth.Rockwood@dal.ca
Data used in the preparation of this article were partly obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database (www.loni.ucla.edu/ADNI). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in the analysis or writing of this report. The principal investigator of the initiative is Dr. Michael W. Weiner. A complete list of the ADNI investigators can be found at the following website: www.loni.ucla.edu/ADNI/Collaboration/ADNI_Manuscript_Citations.pdf.
Accepted: July 6, 2010
Published online: August 21, 2010
Number of Print Pages : 10
Number of Figures : 5, Number of Tables : 4, Number of References : 31
Dementia and Geriatric Cognitive Disorders
Vol. 30, No. 2, Year 2010 (Cover Date: September 2010)
Journal Editor: Chan-Palay V. (New York, N.Y.)
ISSN: 1420-8008 (Print), eISSN: 1421-9824 (Online)
For additional information: http://www.karger.com/DEM
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