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• W4246039706 abstract "Tau positron emission tomography (PET) is a marker of disease progression in AD that is highly correlated with levels of beta-amyloid, grey matter decline, and cognitive dysfunction. Previously we developed a summary region set (tau index, TI) for monitoring levels of tau deposition in areas of highest tau accumulation (Mishra et. al., 2017). However, it remains unclear if tau spatial spread (TSS) throughout the brain confers additional information about disease progression. The current work quantifies TSS in AD participants, and evaluates the effectiveness of using TSS as a marker of disease progression in AD. Nine young, healthy participants were selected as the control group. 26 CN Aβ-, 17 CN Aβ+, and 19 AD Aβ+ participants with [18F] AV-1451 tau PET from ongoing Knight Alzheimer's Disease Research Center studies were selected for analysis (Table 1). To calculate TSS, voxel-wise z scores relative to controls were calculated for each participant. Average tau PET intensity in our previously defined summary region was used to form TI scores. A series of ANOVAs were used to examine the ability of both TI and TSS to indicate disease progression (Table 2, Figure 1). Spatial spread in participants was then visually represented (Figure 2). Group-wise box plots of A) tau index (intensity) and B) tau spatial spread. Four linear models (LM) were implemented to model pair-wise relationships between tau index or tau spatial spread and group membership. Significance values were derived from ANOVAs, and effect sizes were reported for ease of comparison. All models controlled for the main effects of gender and age. Voxel-wise mean tau z-score maps relative to young healthy controls are represented for A) amyloid negative CDR 0 older participants, B) amyloid positive CDR 0 participants, and C) amyloid positive CDR > 0 subjects. Results were mapped onto the cortical surface. Z-score of 1.96 represents a statistically significant (p<0.05) difference from controls. Voxel-wise frequency of abnormality maps relative to young healthy controls are represented for D) amyloid negative CDR 0 older participants, E) amyloid positive CDR 0 participants, and F) amyloid positive CDR > 0 subjects. Frequency of abnormality represents the voxel-wise percentage of participants who are abnormal relative to young healthy controls. Both TI and TSS were highly significant factors in distinguishing between stages of AD progression when examined independently. The significance of TI and TSS in combined models dropped substantially, indicating that information used by these metrics is largely redundant (Table 2, Figures 1&3). However, TI remained statistically significant in combined models, suggesting that unique information above TSS information is conveyed with this approach (Table 2). Correlation of calculated Tl and TSS values of participants. Colors represent group membership. A Pearson product-moment correlation coefficient between the two metrics was calculated. Both TI and TSS can monitor progression of tau pathology in AD individuals. However, TSS could hold advantages in clinical trial settings and atypical dementia identification by retaining much of the classification information while shifting analytic emphasis to peripheral areas with relatively low binding affinity. Further investigation of TSS with a larger sample sizes is needed." @default.
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• W4246039706 date "2018-07-01" @default.
• W4246039706 modified "2023-10-16" @default.
• W4246039706 title "P3‐401: EXAMINING THE ABILITY OF A TAU SPATIAL SPREAD METRIC TO INDICATE DISEASE PROGRESSION COMPARED TO AN INTENSITY‐BASED APPROACH" @default.
• W4246039706 doi "https://doi.org/10.1016/j.jalz.2018.06.1764" @default.
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