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IC‐P‐010: Three‐year conversion of MCI to Alzheimer's disease and cognitive decline can be predicted from polygenetic and imaging profiles
Author(s) -
Yotter Rachel,
Gaonkar Bilwaj,
Da Xiao,
Filipovych Roman,
Davatzikos Christos
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.2013.05.011
Subject(s) - neuroimaging , alzheimer's disease neuroimaging initiative , dementia , single nucleotide polymorphism , disease , cognitive decline , cognitive impairment , medicine , genome wide association study , cognition , atrophy , neuroscience , psychology , biology , genetics , genotype , gene
or not the spatial amyloid pattern predicted cognitive decline. Results: The difference map of an individual’s spatial pattern of amyloid deposition from the normative model of amyloid deposition was predictive of cognitive decline, and when prediction is restricted to PiB-positive participants (cDVR > 1.2) (Sojkova 2011b), the accuracy increases further. The average difference map for stable and declining groups indicates that the declining group may have increased amyloid deposition in the lateral temporal and precuneus areas (Figure 1). Conclusions: By estimating the difference between an individual’s amyloid pattern and a normative model, it may be possible to predict whether the individual is cognitively declining. Regions in which the most pronounced deviations were observed included the lateral temporal lobe and precuneus areas. Table 3 Classification results for AD versus control andMCI-C versusMCI-NC. For MCI subjects, predictions were performed using a model built with AD/ IC-P-010 THREE-YEAR CONVERSION OF MCI TO