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Structural neuroimaging in the detection and prognosis of pre-clinical and early AD

Publisher: 
IOS Press (Behavioural Neurology)
Author: 
Christine Fennema-Notestine1, 2, Linda K. McEvoy2, Donald J. Hagler, Jr.2, Mark W. Jacobson1, 3, Anders M. Dale2, 4, the Alzheimer's Disease Neuroimaging Initiative
Date published: 
10 November, 2009
Region: 
United States of America

Publication type: 
research
Christine Fennema-Notestine1, 2, Linda K. McEvoy2, Donald J. Hagler, Jr.2, Mark W. Jacobson1, 3, Anders M. Dale2, 4, the Alzheimer's Disease Neuroimaging Initiative

1Deptartment of Psychiatry, University of California San Diego, San Diego, CA, USA
2Department of Radiology, University of California San Diego, San Diego, CA, USA
3Veterans Affairs San Diego Healthcare System, San Diego, CA, USA
4Department of Neurosciences, University of California San Diego, San Diego, CA, USA

Abstract

Current research supports the strong potential of structural MRI profiles, even within cross-sectional designs, as a promising method for the discrimination of Alzheimer's Disease (AD) from normal controls and for the prediction of Mild Cognitive Impairment (MCI) progression and conversion to AD. Findings suggest that measures of structural change in mesial and lateral temporal, cingulate, parietal and midfrontal areas may facilitate the assessment of a treatment's ability to halt the progressive structural loss that accompanies clinical decline in MCI. The performance of prediction is likely to continue to improve with the incorporation of measures from other neuroimaging modalities, clinical assessments, and neuromedical biomarkers, as the regional profile of individuals at risk for progression is refined.

Keywords
MRI, Alzheimer's disease, Mild Cognitive Impairment (MCI), morphometry, brain imaging

 

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