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IC‐P‐086: Increased parietal amyloid burden and metabolic dysfunction in Alzheimer's disease
Author(s) -
Ossenkoppele Rik,
Zwan Marissa,
Tolboom Nelleke,
Assema Danielle M.E.,
Adriaanse Sofie,
Barkhof Frederik,
Lammertsma Adriaan,
Scheltens Philip,
Van der Flier Wiesje,
Berckel Bart
Publication year - 2012
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2012.05.119
Subject(s) - pittsburgh compound b , posterior parietal cortex , medicine , statistical parametric mapping , alzheimer's disease , neuropathology , fluorodeoxyglucose , standardized uptake value , analysis of variance , positron emission tomography , psychology , pathology , nuclear medicine , gastroenterology , disease , neuroscience , magnetic resonance imaging , radiology
allowed in vivo PET imaging of amyloid. Generally, sensorimotor and occipital areas remain relatively free of amyloid, while the frontal lobe and precuneus are affected early (Braak 1997). Using pseudo-temporal image analysis algorithms of spatial progression of amyloid deposition, we demonstrate similar patterns using 11 C-PiB (Pittsburgh Compound B) PET data from the Baltimore Longitudinal Study of Aging (BLSA). Moreover, spatial patterns were significantly different between memory decliners and non-decliners.Methods: To examine the pseudo-temporal spatial patterns of amyloid deposition from cross-sectional data, we used a method that quantifies regional tissue sparing relative to total amyloid burden (defined as the cortical distribution volume ratios (cDVR) (Sojkova 2011)). 64 non-demented subjects (35 men, aged 76.61 6 6.89 years) from the BLSA neuroimaging sub-studywere included. For each voxel, a piece-wise linear curvewas fitted to the PiB signal across the group as a function of total amyloid load. The location of the inflection point determines the cDVR magnitude that needs to be reached before amyloid plaques start to accumulate at that voxel. Furthermore,we analyzed subjects grouped into top and bottom20%CaliforniaVerbal Learning Test (CVLT) slopes (Table 1). The significance was quantified using a permutation test on sensorimotor and temporal ROIs. Results: Spatial patterns demonstrate relative sparing of sensorimotor and occipital areas, while the frontal lobe and precuneus begin to accumulate amyloid earlier, i.e., needminimal cDVRbefore they begin to be affected (Figure 1). The spatial patterns for CVLT subgroups diverge, such that the “cognitively stable” subgroup had relative sparing of sensorimotor and temporal areas compared to the “cognitively declining” group (Figure 2). Permutation testing revealed that left hemisphere differences between subgroups are significant (Table 2). Conclusions:We have quantified spatial patterns of progression of amyloid deposition in healthy older adults using pseudo-temporal image analysis methods applied to cross-sectional amyloid PETimages.When our approach was applied to subgroups based on cognitive performance, the spatial patterns diverged. This finding has implications for prediction of cognitive decline from amyloid data, suggesting that it is the spatial pattern rather than total amyloid burden that might be more relevant.