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O4–07–04: A simple clinical index to predict conversion from mild cognitive impairment to Alzheimer's disease within 3 years
Author(s) -
Lee Sei,
Yaffe Kristine,
Ritchie Christine,
Cenzer Irena Stijacic,
Barnes Deborah
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.2013.04.374
Subject(s) - dementia , neuropsychology , disease , alzheimer's disease neuroimaging initiative , neuroimaging , demographics , cognition , cognitive impairment , index (typography) , medicine , clinical trial , psychology , psychiatry , demography , computer science , sociology , world wide web
leave-one-out validation, thereby rendering a prediction on an individual scan basis on whether 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).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 themost pronounced deviations were observed included the lateral temporal lobe and precuneus areas.