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[P1–440]: GREY MATTER CONNECTIVITY IS RELATED TO A STEEPER LOSS OF MEMORY AND LANGUAGE FUNCTIONING OVER TIME IN PATIENTS WITH SUBJECTIVE COGNITIVE DECLINE
Author(s) -
Verfaillie Sander C.J.,
Slot Rosalinde E.R.,
Dicks Ellen,
Prins Niels D.,
Overbeek Jose M.,
Scheltens Philip,
Barkhof Frederik,
Flier Wiesje M.,
Tijms Betty 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.2017.06.456
Subject(s) - grey matter , betweenness centrality , neuropsychology , cognition , psychology , cognitive decline , episodic memory , effects of sleep deprivation on cognitive performance , audiology , dementia , centrality , medicine , neuroscience , magnetic resonance imaging , white matter , disease , statistics , mathematics , radiology
using elastic net regularized logistic regression (EN-RLR) operating directly in the whole-brain voxel space based in the Alzheimer’s Disease Neuroimaging Initiative (ADNI). Here we extend this work by estimating the AD-PS scores for the Women Health Initiative Memory MRI (WHIMS-MRI) study cohort. Methods: In WHIMS-MRI, brain MRI scans (n1⁄41365) were performed at baseline in 2005-2006 and during the follow-up (n 1⁄4 717) in 2009-2010 across 14 US clinical sites. MRI data from 359 ADNI-1 participants and WHIMS-MRI participants were jointly processed using the Advanced Normalization Tools software. After segmenting and aligning MRI data from both studies into a common space, EN-RLR classifiers were estimated using greymatter (GM) images from 188 cognitively normal (CN) participants and 171 AD patients from ADNI-1. Baseline and follow-up GM images from the WHIMS-MRI cohort were provided as input to the EN-RLR classifiers to generate class-conditional probabilities (called AD-PS scores) of having AD-like spatial patterns of atrophy. To assess the construct validity of both baseline and followup AD-PS scores in WHIMS-MRI, we examined their associations with age, global cognitive function (assessed by the modified minimental state examination or 3MS), white matter lesion volume (WMLV) and overall mortality. Results: The scores estimated using WHIMS-MRI baseline scans discriminated AD patients from CN individuals producing sensitivity of AD detection of 90.0% while specificity was 82.8% using a 0.5 probability threshold. The ADPS score at baseline were correlated with age (rho 1⁄4 0.42, p <0.001), WMLV (rho 1⁄4 0.24, p <0.001), mortality (rho 1⁄4 0.28, p<0.001), and associated with lower 3MS (rho1⁄4-0.19, p < 0.001). A similar pattern of associations was found with AD-PS scores at the follow-up (age:rho 1⁄4 0.37, p <0.001; 3MS:rho 1⁄4 -0.17, p <0.001; WMLV:rho 1⁄4 0.20, p <0.001; and mortality:rho 1⁄4 0.20, p<0.001). Conclusions: Neuroanatomic measures of AD risk estimated for a nationwide cohort of older women in the US were found to be significantly correlated with age, cognitive function, WM lesion volumes, and mortality.