Literature DB >> 23859610

Memory decline shows stronger associations with estimated spatial patterns of amyloid deposition progression than total amyloid burden.

Rachel A Yotter1, Jimit Doshi, Vanessa Clark, Jitka Sojkova, Yun Zhou, Dean F Wong, Luigi Ferrucci, Susan M Resnick, Christos Davatzikos.   

Abstract

The development of amyloid imaging compounds has allowed in vivo imaging of amyloid deposition. In this study, we examined the spatial patterns of amyloid deposition throughout the brain using Pittsburgh Compound Blue ((11)C-PiB) positron emission tomography data from the Baltimore Longitudinal Study of Aging. We used a new methodology that allowed us to approximate spatial patterns of the temporal progression of amyloid plaque deposition from cross-sectional data. Our results are consistent with patterns of progression known from autopsy studies, with frontal and precuneus regions affected early and occipital and sensorimotor cortices affected later in disease progression--here, disease progression means lower-to-higher total amyloid burden. Furthermore, we divided participants into subgroups based on longitudinal change in memory performance, and demonstrated significantly different spatial patterns of the estimated progression of amyloid deposition between these subgroups. Our results indicate that the spatial pattern of amyloid deposition is related to cognitive performance and may be more informative than a biomarker reflecting total amyloid burden, the use of which is the current practice. This finding has broad implications for our understanding of the relationship between cognitive decline/resilience and amyloid deposition, as well as for the use of amyloid imaging as a biomarker in research and clinical applications.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Amyloid; CVLT; Cognition; PET; PiB

Mesh:

Substances:

Year:  2013        PMID: 23859610      PMCID: PMC3893024          DOI: 10.1016/j.neurobiolaging.2013.05.030

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


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