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• W2461941736 abstract "We provide a comparative in vivo examination of the brain network-based distribution of two hallmarks of Alzheimer9s disease (AD) pathology in cognitively normal individuals: (1) Tau, detected with a novel positron emission tomography (PET) tracer known as 18F-AV-1451; and (2) amyloid-β, quantified with 11C-PiB PET. We used a high-resolution graph-based approach to investigate local-to-local and local-to-distributed cortical associations between the maps of Tau, amyloid-β, and gray matter intensity. Our study shows that Tau and amyloid-β deposits are associated with distinctive spatial patterns of brain tissue loss. Moreover, Tau and amyloid-β accumulations have strong network interdigitations in heteromodal and associative areas of the cortical mantle, particularly the inferior–lateral temporal lobe. These findings contribute significantly to our understanding of how these two main hallmarks of AD pathology propagate across the elderly human brain. SIGNIFICANCE STATEMENT It has been postulated that Alzheimer9s disease (AD) pathology interacts and resides within system-level circuits of the human brain, long before the onset of cognitive symptoms. However, a side-by-side comparison of tissue loss, amyloid-β, and Tau deposition in early stages of the disease has been precluded until the recent advent of Tau tracer-based neuroimaging. In this study, we used Tau positron emission tomography and network analyses to disentangle these pathological relationships. We found that Tau and amyloid-β deposits are associated with distinctive spatial patterns of brain tissue loss. Moreover, we uncovered the network interdigitations of Tau and amyloid-β in the cortical mantle. These findings contribute significantly to our understanding of how two main hallmarks of AD pathology propagate across the elderly human brain." @default.
• W2461941736 created "2016-07-22" @default.
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• W2461941736 date "2016-07-13" @default.
• W2461941736 modified "2023-10-11" @default.
• W2461941736 title "In Vivo Tau, Amyloid, and Gray Matter Profiles in the Aging Brain" @default.
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• W2461941736 doi "https://doi.org/10.1523/jneurosci.0639-16.2016" @default.
• W2461941736 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4945661" @default.
• W2461941736 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/27413148" @default.
• W2461941736 hasPublicationYear "2016" @default.
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