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IC‐P‐011: Regional distribution of fibrillar amyloid deposition in the brain as a function of CSF beta‐amyloid 1–42 and biomarkers of neurodegeneration
Author(s) -
Cheewakriengkrai Laksanun,
Rowley Jared,
Mohades Sara,
Beaudry Thomas,
Leuzy Antoine,
Zimmer Eduardo,
Fonov Vladimir,
Gauthier Serge,
RosaNeto Pedro
Publication year - 2013
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.2013.05.012
Subject(s) - precuneus , standardized uptake value , amyloid (mycology) , pittsburgh compound b , neurodegeneration , alzheimer's disease , amyloidosis , pathology , amyloid beta , neuroscience , nuclear medicine , medicine , positron emission tomography , psychology , disease , cognition
polygenetic profilewas predictive of age of AD diagnosis, AD vs control, and MCI conversion to AD over a three-year period. It was alsoweakly correlated to cognitive performance as measured by the modified ADAS-Cog and MMSE scores. As previously shown, imaging data is highly predictive of AD vs control and MCI conversion; we also show that it is correlated to age of AD diagnosis and cognitive performance. When imaging and genetic information is combined, all predictivemeasures improve (Tables 3& 4). Predictions using a polygenetic profile suggest that most of the MCI subjects are AD-like, whichmay indicate increased risk or environmental effects that have delayed the onset ofAD (Figure 1).Conclusions:Wedemonstrate that a polygenetic profile is predictive of AD, both in terms of AD vs control and in the approximate age of AD diagnosis. When combined with imaging data, the polygenetic profile improves prediction accuracy.