Figure S3. Model of the hierarchical in vivo amyloid staging scheme. This figure shows the 52 brain regions merged into four larger anatomical divisions based on equal partitions of frequency range as initially defined in the original model. Then the resulting amyloid progression stage (I-IV) is defined by the involvement of the corresponding anatomical division displayed in red in addition to the affected areas of the previous stage (displayed in blue). The amyloid progression stages are displayed on left, midline sagittal and basal brain views. (PDF 312 kb
BACKGROUND: Current methods of amyloid PET interpretation based on the binary classification of glob...
BackgroundCurrent methods of amyloid PET interpretation based on the binary classification of global...
Objectives: To estimate a regional progression pattern of amyloid deposition from cross-sectional am...
Figure S4. Amyloid progression model in the INSIGHT-preAD data. This figure shows the amyloid progre...
Figure S1. Schematic diagram summarizing the pre-processing pipeline. (PDF 276 kb
Table S2. Associations between in vivo amyloid stage and cognitive performance. Analysis of Covarian...
Figure S2. Regional amyloid positivity cutoff value estimation. The figure shows the linear regressi...
Table S1. Principal component analysis applied on the neurocognitive test scores. The table shows th...
Examining the differences between amyloid-positive and amyloid-negative subjects. (PDF 2073 kb
Percentage of amyloid area according to fields. This percentage was calculated on the whole populati...
Illustration of the quantification method of microglia or YM1 around each plaque in Fig. 5b and Addi...
Objective: To develop and evaluate a model for staging cortical amyloid deposition using PET with hi...
International audienceBackground: Current methods of amyloid PET interpretation based on the binary ...
Effect of DcR3 on Aβ deposition in the hippocampus. (a) Immunostaining of total Aβ (6E10, Red) and n...
Additional file 1: Table 1. Comparison of global amyloid-PET and global tau-PET as predictors of fut...
BACKGROUND: Current methods of amyloid PET interpretation based on the binary classification of glob...
BackgroundCurrent methods of amyloid PET interpretation based on the binary classification of global...
Objectives: To estimate a regional progression pattern of amyloid deposition from cross-sectional am...
Figure S4. Amyloid progression model in the INSIGHT-preAD data. This figure shows the amyloid progre...
Figure S1. Schematic diagram summarizing the pre-processing pipeline. (PDF 276 kb
Table S2. Associations between in vivo amyloid stage and cognitive performance. Analysis of Covarian...
Figure S2. Regional amyloid positivity cutoff value estimation. The figure shows the linear regressi...
Table S1. Principal component analysis applied on the neurocognitive test scores. The table shows th...
Examining the differences between amyloid-positive and amyloid-negative subjects. (PDF 2073 kb
Percentage of amyloid area according to fields. This percentage was calculated on the whole populati...
Illustration of the quantification method of microglia or YM1 around each plaque in Fig. 5b and Addi...
Objective: To develop and evaluate a model for staging cortical amyloid deposition using PET with hi...
International audienceBackground: Current methods of amyloid PET interpretation based on the binary ...
Effect of DcR3 on Aβ deposition in the hippocampus. (a) Immunostaining of total Aβ (6E10, Red) and n...
Additional file 1: Table 1. Comparison of global amyloid-PET and global tau-PET as predictors of fut...
BACKGROUND: Current methods of amyloid PET interpretation based on the binary classification of glob...
BackgroundCurrent methods of amyloid PET interpretation based on the binary classification of global...
Objectives: To estimate a regional progression pattern of amyloid deposition from cross-sectional am...