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P1‐059: The independent effects of white matter hyperintensity volume and cerebrospinal fluid amyloid levels on brain atrophy
Author(s) -
Barnes Josephine,
Carmichael Owen,
DeCarli Charles,
Rossor Martin,
Biessels GeertJan,
Leung Kelvin,
Jonathan Bartlett,
Malone Ian,
Fox Nick,
Ridgway Gerard,
Schott Jonathan,
Schwarz Christopher
Publication year - 2011
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.2011.05.338
Subject(s) - atrophy , brain size , hyperintensity , cardiology , medicine , dementia , cerebrospinal fluid , cohort , white matter , neuroimaging , magnetic resonance imaging , pathology , disease , radiology , psychiatry
aging/gene expression dataset the hippocampal-only classifier achieved 69% diagnostic accuracy (AUC 1⁄4 0.63) and ventricular-only classifier achieved 69% accuracy (AUC 1⁄4 0.57) compared to the hippocampal-GE classifier accuracy 78%(AUC 1⁄4 0.79), and the combined hippocampalventricular-GE classifier accuracy84% (AUC1⁄4 0.82). 12 expressed genes and 8 expressed genes were selected as being useful for improving classification, by the final hippocampal-GE and hippocampal-ventricular-GE combined classifiers, respectively.Conclusions:As hypothesized, NC vs. aMCI classifier performance improved when combining imaging and genetic biomarkers. Automated classifiers show great promise for diagnostic analyses and potentially for predicting future conversion to AD.