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IC‐P‐173: PATTERN OF CORTICAL THINNING AND SHAPE VARIABILITY RELATED TO ALZHEIMER'S DISEASE IN REGIONS AFFECTED BY EARLIEST NEUROFIBRILLARY TANGLE PATHOLOGY
Author(s) -
Xie Long,
Wisse Laura,
Das Sandhitsu R.,
Ittyerah Ranjit,
Yushkevich Paul A.,
Wolk David A.
Publication year - 2018
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.2018.06.2240
Subject(s) - temporal lobe , neurofibrillary tangle , entorhinal cortex , alzheimer's disease , tangle , neuroscience , cortex (anatomy) , temporal cortex , pathology , psychology , hippocampus , medicine , senile plaques , disease , epilepsy , mathematics , pure mathematics
group-wise differences in diffusion metrics after Bonferroni correction of multiple comparisons over the 27 tracts. Five tracts were identified including the bilateral parahippocampal cingulum (cgh), posterior thalamic radiation (ptr), forceps major (fma), and inferior frontooccipital fasciculi (ifo). A. Significant group-wise differences are highlighted in orange for higher diffusion measurements in advanced disease stage within the pair or blue for lower. B. White matter tracts that had significant group-wise differences in Dr, with color indicating levels of significance. The illustration of tracts was rendered in sagittal (left), coronal (center), and axial (right) views. C. Tracts that had significant groupwise differences in FA. Figure 3. Best predictors identified by penalized logistic regressions (LASSO). A. The receiver operating characteristic (ROC) curves for each combination of predictors (i.e., diffusion and tract-of-interest pairs) selected by LASSO to discriminate between SCD and MCI. The best predictors for SCD andMCIwere Dr in the left parahippocampal cingulum (cgh_I),MD in the forceps major (fma), and FA in the left posterior thalamic radiation (ptr_I). The Area under the ROC curve (AUC) were 0.83 with all three predictors (bold black line), 0.81 with Dr-cgh_I and MDfma (grey line), and 0.80 with only Dr-cgh_I (light grey line). B. The ROC curves for each combination of predictors selected by LASSO to discriminate between CN and MCI. The best predictors for CN and MCI were FA-ptr_I and OD-cgh_I. The AUC were 0.88 using both predictors (bold black line), and 0.82 using only FA-ptr_I (grey line). C. The anatomical locations of the three most sensitive tracts-of-interest: the left parahippocampal cingulum (cgh_I), the left posterior thalamic radiation (ptr_I) and the forcepsmajor (fma). D. Boxplots of LASSO-selected diffusion parameters (vertical axes) in the three most sensitive tracts-of-interest (horizontal axes) for all groups.