Stage-specific regional distribution of amyloid and tau deposition across the Alzheimer’s disease continuum revealed by tau-to-amyloid ratio imaging

BACKGROUND: Amyloid-β and tau deposition follow distinct spatial and temporal trajectories across the Alzheimer's disease (AD) continuum. Amyloid accumulation occurs early in the disease course, whereas tau pathology is more closely associated with neurodegeneration and clinical progression. Characterizing stage-specific regional divergence between amyloid and tau deposition may refine biomarker-based disease staging and improve prognostic assessment. METHODS: F-MK-6240, and 3D MRI within a three-month interval. Participants were classified into cognitively normal amyloid-negative controls (CNA, n = 101) and the AD continuum (n = 102), comprising preclinical AD (PCA, n = 47), mild cognitive impairment due to AD (MCA, n = 24), and AD dementia (ADD, n = 31). Standardized uptake value ratios (SUVRs) were calculated using the Centiloid and CenTauR frameworks, and voxel-wise tau-to-amyloid ratio (TAR) images were generated. Voxel-wise and region-of-interest analyses were performed to compare regional patterns of amyloid deposition, tau accumulation, and TAR across disease stages. RESULTS: Amyloid deposition was already widespread at the PCA stage, involving the frontal, posterior cingulate/precuneus, and temporal cortices. In contrast, tau deposition in PCA was largely confined to the medial temporal lobe. With progression to MCA and ADD, tau burden increased substantially and extended to the lateral temporal, parietal, and frontal cortices. TAR analysis demonstrated high values in the medial temporal cortex at the PCA stage, followed by decreasing TAR in frontal regions during MCA and a tau-dominant neocortical pattern in ADD. CONCLUSIONS: Amyloid and tau exhibit distinct and stage-dependent regional dissociation across the AD continuum. TAR imaging effectively captures this divergence, reflecting early medial temporal tau predominance and subsequent neocortical tau expansion. These findings support the utility of integrated amyloid-tau PET metrics for refined disease staging and longitudinal therapeutic monitoring.

Authors

Institutions

Publication Details

Journal
European Journal of Nuclear Medicine and Molecular Imaging
Published
2026-05-29
DOI
https://doi.org/10.1007/s00259-026-07935-x
Primary Topic
Alzheimer's disease research and treatments
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Stage-specific regional distribution of amyloid and tau deposition across the Alzheimer’s disease continuum revealed by tau-to-amyloid ratio imaging

Hayato Kaida, Yasuyuki Kojita, Takashi Nihashi, Atsushi Kono et al.
European Journal of Nuclear Medicine and Molecular Imaging
Alzheimer's disease research and treatments
article

Stage-specific regional distribution of amyloid and tau deposition across the Alzheimer’s disease continuum revealed by tau-to-amyloid ratio imaging

Hayato Kaida, Yasuyuki Kojita, Takashi Nihashi, Atsushi Kono, Kazunari Ishii, Kohei Hanaoka, Keita Sakurai, Takahiro Yamada, Akinori Nakamura, Takashi Kato
article en

Abstract

BACKGROUND: Amyloid-β and tau deposition follow distinct spatial and temporal trajectories across the Alzheimer's disease (AD) continuum. Amyloid accumulation occurs early in the disease course, whereas tau pathology is more closely associated with neurodegeneration and clinical progression. Characterizing stage-specific regional divergence between amyloid and tau deposition may refine biomarker-based disease staging and improve prognostic assessment. METHODS: F-MK-6240, and 3D MRI within a three-month interval. Participants were classified into cognitively normal amyloid-negative controls (CNA, n = 101) and the AD continuum (n = 102), comprising preclinical AD (PCA, n = 47), mild cognitive impairment due to AD (MCA, n = 24), and AD dementia (ADD, n = 31). Standardized uptake value ratios (SUVRs) were calculated using the Centiloid and CenTauR frameworks, and voxel-wise tau-to-amyloid ratio (TAR) images were generated. Voxel-wise and region-of-interest analyses were performed to compare regional patterns of amyloid deposition, tau accumulation, and TAR across disease stages. RESULTS: Amyloid deposition was already widespread at the PCA stage, involving the frontal, posterior cingulate/precuneus, and temporal cortices. In contrast, tau deposition in PCA was largely confined to the medial temporal lobe. With progression to MCA and ADD, tau burden increased substantially and extended to the lateral temporal, parietal, and frontal cortices. TAR analysis demonstrated high values in the medial temporal cortex at the PCA stage, followed by decreasing TAR in frontal regions during MCA and a tau-dominant neocortical pattern in ADD. CONCLUSIONS: Amyloid and tau exhibit distinct and stage-dependent regional dissociation across the AD continuum. TAR imaging effectively captures this divergence, reflecting early medial temporal tau predominance and subsequent neocortical tau expansion. These findings support the utility of integrated amyloid-tau PET metrics for refined disease staging and longitudinal therapeutic monitoring.

European Journal of Nuclear Medicine and Molecular Imaging
Kindai University Sakai Hospital (JP), National Center for Geriatrics and Gerontology (JP), Higashi Nagoya National Hospital (JP), Kobe University (JP), Kindai University (JP)
Japan Agency for Medical Research and Development, Kindai University, Kanazawa University, Kobe University, National Center for Geriatrics and Gerontology
Openalex Percentile: Top 7%
Alzheimer's disease research and treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.