ArticleAlzheimer's research & therapy2022
Combining tau-PET and fMRI meta-analyses for patient-centered prediction of cognitive decline in Alzheimer's disease.
Article in Alzheimer's research & therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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23 citing papers in PubMed, 28 citations in OpenAlex.
- Sex-specific brain reserve and progression from mild cognitive impairment to Alzheimer's disease dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Multimodal Imaging of Hypoxia, Metabolism and pH in Feline Sarcoma Using HyperpolarizedAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Brain network dynamics determine tau presence while regional vulnerability governs tau load in Alzheimer's disease.Research square · 2026Article
- Association of functional brain alterations with β-amyloid, tau, and cognitive decline in Alzheimer's disease.Alzheimer's research & therapy · 2026Article
- Pretangle tau pathology accrual in the default mode network during the progression of Alzheimer's disease.Molecular neurodegeneration advances · 2026Article
- Multimodal non-invasive approaches for early Alzheimer's disease detection: a review of neuroelectrophysiological and neuroimaging techniques.Frontiers in psychiatry · 2026Review
- Article
- Regional tau PET patterns predict prospective domain-specific cognitive decline in early symptomatic Alzheimer's disease.Alzheimer's research & therapy · 2025Article
- A systematic comparison of ATN biomarkers for monitoring longitudinal cognitive changes in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Multivariate whole brain neurodegenerative-cognitive-clinical severity mapping in the Alzheimer's disease continuum using explainable AI.medRxiv : the preprint server for health sciences · 2025Article
- Cognitive reserve in subjective cognitive decline with worry: DMN-VN connectivity supports episodic memory under structural vulnerability.BMC geriatrics · 2025Article
- Default mode network tau predicts future clinical decline in atypical early Alzheimer's disease.Brain : a journal of neurology · 2025Article
- Tau Imaging: Use and Implementation in New Diagnostic and Therapeutic Paradigms for Alzheimer's Disease.Geriatrics (Basel, Switzerland) · 2025Review
- Are current etiological theories of Alzheimer's disease falsifiable? An epistemological assessment.Frontiers in aging neuroscience · 2025Article
- Constructing and exploring neuroimaging projects: a survey from clinical practice to scientific research.Insights into imaging · 2024Review
- Tau Protein Accumulation Trajectory-Based Brain Age Prediction in the Alzheimer's Disease Continuum.Brain sciences · 2024Article
- Default mode network tau predicts future clinical decline in atypical early Alzheimer's disease.medRxiv : the preprint server for health sciences · 2024Article
- The spatial distribution of coupling between tau and neurodegeneration in amyloid-β positive mild cognitive impairment.Neurobiology of aging · 2024Article
- Elevated CSF GAP-43 is associated with accelerated tau accumulation and spread in Alzheimer's disease.Nature communications · 2024Article
- Connectome-based modelling of neurodegenerative diseases: towards precision medicine and mechanistic insight.Nature reviews. Neuroscience · 2023Review
Corrections and comments
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Authors and funding
18 authors at 5 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTau-PET is a prognostic marker for cognitive decline in Alzheimer's disease, and the heterogeneity of tau-PET patterns matches cognitive symptom heterogeneity. Thus, tau-PET may allow precision-medicine prediction of individual tau-related cognitive trajectories, which can be important for determining patient-specific cognitive endpoints in clinical trials. Here, we aimed to examine whether tau-PET in cognitive-domain-specific brain regions, identified via fMRI meta-analyses, allows the prediction of domain-specific cognitive decline. Further, we aimed to determine whether tau-PET-informed personalized cognitive composites capture patient-specific cognitive trajectories more sensitively than conventional cognitive measures.
methodsWe included Alzheimer's Disease Neuroimaging Initiative (ADNI) participants classified as controls (i.e., amyloid-negative, cognitively normal, n = 121) or Alzheimer's disease-spectrum (i.e., amyloid-positive, cognitively normal to dementia, n = 140), plus 111 AVID-1451-A05 participants for independent validation (controls/Alzheimer's disease-spectrum=46/65). All participants underwent baseline
resultsIn both amyloid-positive cohorts (ADNI [age = 75.99±7.69] and A05 [age = 74.03±9.03]), cognitive-domain-specific tau-PET outperformed global and temporal-lobe tau-PET for predicting future cognitive decline in episodic memory, language, executive functioning, and visuospatial abilities. Further, a tau-PET-informed personalized cognitive composite across cognitive domains enhanced the sensitivity to assess cognitive decline in amyloid-positive subjects, yielding lower sample sizes required for detecting simulated intervention effects compared to conventional cognitive endpoints (i.e., memory composite, global cognitive composite). However, the latter effect was less strong in A05 compared to the ADNI cohort.
conclusionCombining tau-PET with task-fMRI-derived maps of major cognitive domains facilitates the prediction of domain-specific cognitive decline. This approach may help to increase the sensitivity to detect Alzheimer's disease-related cognitive decline and to determine personalized cognitive endpoints in clinical trials.
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