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[IC‐P‐150]: CHARACTERISING PRESYMPTOMATIC ATROPHY PATTERNS THROUGH MULTIVARIATE MACHINE LEARNING
Author(s) -
Veale Thomas,
Wallon David,
Ridgway Gerard R.,
Benzinger Tammie LS.,
Jack Clifford R.,
Bateman Randall J.,
Morris John C.,
Weston Philip SJ.,
Rossor Martin N.,
Ourselin Sebastien,
Modat Marc,
Fox Nick C.,
Cash David M.
Publication year - 2017
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.2017.06.2424
Subject(s) - atrophy , medicine , voxel , disease , pathology , radiology
Background: Lack of awareness of cognitive decline is a common clinical feature of Alzheimer’s Disease (AD). However, the neural correlates of this lack of awareness remain poorly understood. Here, glucosemetabolismwas calculated in Alzheimer’s Disease patients with different levels of self-awareness of cognitive deficits. Methods: Using data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI), we defined self-awareness of cognitive deficits as the difference between subject and caregiver global ratings on the Everyday Cognition (E-Cog) questionnaire. Brain metabolism was assessed by [F]fluorodeoxyglucose ([F]FDG) positron emission tomography (PET). In patients with AD, we used a voxel-wise linear regression model to evaluate the relationship between selfawareness of cognitive deficits and regional [F]FDG uptake, corrected for global [F]FDG uptake and demographic covariates. Results:Herewe show that in in AD patients, levels of self-awareness of cognitive deficits correlate with [F]FDG uptake in the Posterior Cingulate Cortex (PCC). Conclusions:Low self-awareness of cognitive deficits is correlated (r 1⁄4 0.4) with decreased metabolism in the PCC, brain’s implicated in self-referential processing.