Digital.CSIC. Repositorio Institucional del CSIC

oai:digital.csic.es:10261/337922

Supplementary Figure S1. Flow chart of inclusion/exclusion criteria for the studied autopsy sample. Supplementary Figure S2. Classification of individual FDG-PET scans based on spatial correlation with pathology-specific patterns. Supplementary Figure S3. Illustration of an alternative stratification approach based on a Gaussian Mixture Model analysis of the ∆r distribution. Supplementary Figure S4. Individual FDG-PET profiles of the two cases with hippocampal sclerosis in the comorbid AD+LATE-NC group. Supplementary Figure S5. FDG-PET patterns of the stratified atypical and non-hypometabolic patient groups in the in-vivo cohort. Supplementary Figure S6. Group-specific trajectories of longitudinal cognitive decline. Supplementary Figure S7. Associations with LATE-NC- vs AD-like FDG-PET pattern expression on a continuous scale. Supplementary Figure S8. Individual hypometabolic profiles of LATE-NC cases. Supplementary Figure S9. IMT ratio in relation to age. Supplementary Figure S10. FDG-PET pattern of age-matched AD group. Supplementary Figure S11. LATE-NC-typical pattern using an age-matched control group. Supplementary Figure S12. FDG-PET patterns of pathologic groups without LATE-NC/AD and other pathologies. Supplementary Table S1. Harvard-Oxford atlas ROIs used for screening for relevant hypometabolism. Supplementary Table S2. Characteristics of LATE-NC-like and AD-like patient groups stratified according to a GMM-based approach. Supplementary Table S3. Characteristics of patients stratified according to the inferior-to-medial temporal metabolism ratio. Supplementary Table S4. Contingency table of group assignments based on pattern matching compared to the inferior-to-medial temporal ratio., TDP-43 assessment and individual staging. ADNI memory and executive function composite scores. Possible neuropathologic correlates of a LATE-NC-like FDG-PET pattern., Peer reviewed