ArticleAlzheimer's research & therapy2025
Regional tau PET patterns predict prospective domain-specific cognitive decline in early symptomatic Alzheimer's disease.
Article in Alzheimer's research & therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Network-dependent remote effects and local tau burden jointly shape neuronal dysfunction in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Tau-mediated Mechanisms in Alzheimer's Disease Pathogenesis.Molecular neurobiology · 2026Review
- Hierarchical organization of tau topography across the Alzheimer's disease continuum integrates amyloid, connectome, and intrinsic molecular vulnerability.Communications biology · 2026Article
- Brain network dynamics determine tau presence while regional vulnerability governs tau load in Alzheimer's disease.Research square · 2026Article
- The Role of Amyloid-β and Tau PET in the New Era of Alzheimer Disease Therapies.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026Review
- CSF Proteomics and Machine Learning Reveal Distinct Stages Across the Alzheimer's Disease Continuum.medRxiv : the preprint server for health sciences · 2025Article
- Cerebrospinal fluid proteomics for predictive assessment of Alzheimer's Disease risk.medRxiv : the preprint server for health sciences · 2025Article
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10 authors.
Funding
Abstract
backgroundTau-PET binding patterns are heterogenous, with regional binding showing strong cross-sectional correlations with domain-specific cognitive performance and longitudinal correlations with prospective neurodegeneration. Here we evaluated whether regional patterns of baseline tau-PET predict prospective longitudinal decline in specific cognitive domains in early symptomatic Alzheimer's disease (AD), including participants from clinical trial cohorts.
methods731 amyloid-positive participants with a clinical diagnosis of mild cognitive impairment (MCI) or mild AD dementia underwent a flortaucipir F 18 PET (FTP-PET), structural MRI, and neuropsychological testing with the AD Assessment Scale-Cognitive Subscale (ADAS-Cog). Cognitive assessment was repeated after 9-18 or 12-24 months. Sub-scale annualized w-scores at each time point were combined as composite scores according to domains, including episodic memory, semantic memory, executive function, language and praxis. Latent growth curve models were applied to longitudinal composite scores to estimate the rate of annual decline (slope) in each participant. Standardized uptake value ratio (SUVR) images were created using cerebellar crus as the reference region. Regional and voxel-wise correlation analyses were implemented to identify baseline FTP-PET patterns and MRI grey matter volumes associated with longitudinal changes in each cognitive domain, and to evaluate whether MRI mediates the association between FTP-PET and cognitive decline.
resultsDifferential FTP-PET signal patterns showed significant negative associations with domain-specific annual rates of decline. Higher temporo-parietal FTP-PET SUVR was associated with faster decline in episodic memory, while higher left anterior temporal SUVR was associated with faster decline in semantic memory. FTP-PET signal in a left-dominant fronto-temporal pattern was associated with faster decline in language, while FTP-PET signal in a right-dominant fronto-parietal pattern was associated with faster decline in praxis. Executive decline showed limited spatial associations with FTP-PET. Overall, regional and voxel-wise analyses identified similar pairwise associations between FTP-PET signal and domain-specific longitudinal decline. Baseline MRI showed weaker associations with domain-specific cognitive decline than FTP-PET, and did not mediate the predictive effect of the latter.
conclusionDifferential regional tau-PET signal patterns were associated with domain-specific cognitive decline in MCI and early AD dementia. Tau-PET may be a useful precision medicine tool to support individualized predictions of cognitive decline trajectories in early symptomatic AD.
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