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- W2099451331 abstract "In vivo imaging and post mortem studies indicates the formation of amyloid plaques in the brain as a major factor that leads to a sequence of pathophysiological events occurring over decades before the manifestation of AD related dementia.Slow disease progression provides potentially a window for early interventions to reduce or even stop progression of AD. Amyloid-PET and low CSF Aβ1-42 are valid biomarkers for a person's brain Aβ-plaque load and already successfully being used as a research protocol in patients. However, use of brain amyloidosis measures in clinical community for both diagnostic purposes as well as for evaluating the treatment strategies has been limited due to technical requirements and cost of available methods. Structural neuroimaging has been shown to be useful in the diagnosis of AD and become a part of routine clinical assessment. The main objective of this study is to identify brain atrophy patterns that best predict the Aβ-burden (composite PiB-PET-uptake) in MCI. Anatomical shape variation measures at each voxel were computed for 61 ADNI-MCI (75.2 ± 8.0years; 34female) by estimating the initial momenta from an unbiased control template to each MCI. Using partial least squares (PLS) regression, we identified an “imaging signature” of amyloid load after accounting for age, sex, education, and APOE4-carrier differences. Leave-one-out cross-validation and Pearson correlation of the predicted vs true Aβ-load were used to assess the predictive power of the model. We performed additional cross-validation on an independent ADNI sample of 121 MCI subjects with only CSF Aβ1-42 available. First transforming CSF Aβ1-42 measures into composite PiB-uptake, we computed the area under the ROC curve for classification of Aβ-positive and Aβ-negative MCIs based on the established global cortical-PiB threshold of 1.5. An increased in Aβ-burden was associated with anatomical shape changes (r = 0.7193;p<10-6) in hippocampus, fornix/stria terminals, caudate, amygdala, nucleus accumbens, and middle temporal, supramarginal, pre-cuneus, inferior parietal, entorhinal cortices as shown in the figure. A classification accuracy of 93% was achieved with a classifier combining anatomical shape changes with APOE4 status. Classifiers based on APOE4 status, anatomical shape changes, and hippocampal volume separately had 79%, 78%, and 67% classification accuracy, respectively." @default.
- W2099451331 created "2016-06-24" @default.
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- W2099451331 date "2012-07-01" @default.
- W2099451331 modified "2023-09-27" @default.
- W2099451331 title "O2-11-03: Neuromorphometry predictors of beta-amyloid positivity in individuals with mild cognitive impairment" @default.
- W2099451331 doi "https://doi.org/10.1016/j.jalz.2012.05.686" @default.
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