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P2‐156: LATENT PROFILE ANALYSIS OF NEUROPSYCHIATRIC SUBTYPES IN DEMENTIA: RESULTS FROM THE EUROPEAN ALZHEIMER DISEASE CONSORTIUM
Author(s) -
Aalten Pauline,
Verhey Frans,
Robert Philippe H.,
Koehler Sebastian
Publication year - 2014
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.2014.05.832
Subject(s) - apathy , latent class model , dementia , disease , psychiatry , psychology , alzheimer's disease , clinical psychology , medicine , statistics , mathematics
clinically significant depression, defined by GDS> 10, were excluded from participation at screening. General linear regression models with backward elimination were used to evaluate the cross-sectional relations of GDS measures to HVor to DMN connectivity, in separate analyses. Predictors subjected to backward elimination (using a p<0.1 threshold) included GDS, age, sex, premorbid intelligence (AMNART IQ), a binary amyloid variable (determined by a PiB distribution volume ratio cut-off of 1.20) and a interaction term for GDS and amyloid to consider a differential effect in participants with low compared to high amyloid burden. Results: Higher GDS score (p1⁄40.02), greater age (p<0.0001) and lower AMNART IQ (p1⁄40.04) were significantly associated with lower HV (p<0.0001; R 2 1⁄40.22 for the model). Greater age (p<0.03) but no other predictors were related to lower DMN connectivity. Neither amyloid status nor the interaction terms were significantly related to DMN or to HV in regression models. Conclusions: In cognitively normal elderly,SSD was associated with low HV independent of amyloid status, but was not related to DMN connectivity disruption. SSD may accompany neurodegeneration characteristic of early AD but this association may be independent of amyloid pathology.