Papers by Peter Johannsen
Journal of Nutrition Health & Aging - J NUTR HEALTH AGING, 2008
Journal of Nutrition Health & Aging - J NUTR HEALTH AGING, 2008
Experimental Gerontology, 2009
Background Alzheimer's Disease Neuroimaging Initiatives ("ADNI") aim to validate neuroimaging and... more Background Alzheimer's Disease Neuroimaging Initiatives ("ADNI") aim to validate neuroimaging and biochemical markers of Alzheimer's disease (AD). Data of the pilot European ADNI (E-ADNI) biological marker programme of cerebrospinal fluid (CSF) and plasma candidate biomarkers are reported.
Alzheimer's & Dementia, 2011
Alzheimer's & Dementia, 2011
were not included in the optimal classification algorithm. In the N ¼ 81 imaging/gene expression ... more were not included in the optimal classification algorithm. In the N ¼ 81 imaging/gene expression dataset the hippocampal-only classifier achieved 69% diagnostic accuracy (AUC ¼ 0.63) and ventricular-only classifier achieved 69% accuracy (AUC ¼ 0.57) compared to the hippocampal-GE classifier -accuracy 78%(AUC ¼ 0.79), and the combined hippocampalventricular-GE classifier -accuracy84% (AUC ¼ 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. Receiver Operating Characteristic (ROC) curves for the unsupervised NC vs amnestic MCI classifier using structural imaging and SNP (top row) or gene expression data (bottom row). AUC stands for area under the curve.
Alzheimer's & Dementia, 2008
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Papers by Peter Johannsen