Evidence map›Paper›PMID 40690524›Full record

ArticlePLoS biology2025

Personalised regional modelling predicts tau progression in the human brain.

Pavanjit Chaggar, Jacob W Vogel, Alexa Pichet Binette, Travis B Thompson, Olof Strandberg, Niklas Mattsson-Carlgren, Linda Karlsson, Erik Stomrud, Saad Jbabdi, Stefano Magon and 4 more

Abstract read
In one paragraph

Article in PLoS biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Emerging directions in tauopathy research.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. DynamicalbioRxiv : the preprint server for biology · 2026
    Article
  9. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Pavanjit ChaggarMathematical Institute, University of Oxford, Oxford, United Kingdom.
Jacob W VogelClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
Alexa Pichet BinetteClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
Travis B ThompsonDepartment of Mathematics and Statistics, Texas Tech University, Lubbock, Texas, United States of America.
Olof StrandbergClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
Niklas Mattsson-CarlgrenClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
Linda KarlssonClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
Erik StomrudClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
Saad JbabdiWellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom.
Stefano MagonF. Hoffmann-La Roche Ltd., Basel, Switzerland.
Gregory KleinF. Hoffmann-La Roche Ltd., Basel, Switzerland.
with the Alzheimer’s Disease Neuroimaging Initiative
Oskar HanssonClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
Alain GorielyMathematical Institute, University of Oxford, Oxford, United Kingdom.ORCID https://orcid.org/0000-0002-6436-8483

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
Prospective validation and implementation of high-performing blood biomarkers and digital cognitive tests for detection of Alzheimer's disease in specialist memory clinic and primary care settingsR01AG083740 · NIA · LUNDS UNIVERSITET · PI Sebastian Palmqvist · 2023 to 2026
$1.9M
NIA NIH HHS R01 AG083740NIA NIH HHS U01 AG024904NIMH NIH HHS U54 MH091657Wellcome Trust
6 · The paper itself

Abstract

Aggregation of the hyperphosphorylated tau protein is a central driver of Alzheimer's disease, and its accumulation exhibits a rich spatiotemporal pattern that unfolds during the course of the disease, sequentially progressing through the brain across axonal connections. It is unclear how this spatiotemporal process is orchestrated, namely, to what extent the spread of pathologic tau is governed by transport between brain regions, local production, or both. To address this, we develop a mechanistic model from tau PET data to describe tau dynamics along the Alzheimer's disease timeline. Our analysis reveals longitudinal changes in production and transport dynamics in two independent cohorts, with subjects in the early stage of the disease exhibiting transport-dominated spread, consistent with an initial spread of pathological tau seeds, and subjects in the late stage disease characterized primarily by local tau production. Further, we demonstrate that the model can predict accurately subject-specific longitudinal tau accumulation at the regional level, potentially providing a new clinical tool to monitor and classify patient disease progression.

Indexed as

Alzheimer DiseaseBraintau ProteinsAgedAged, 80 and overDisease ProgressionFemaleHumansMaleMiddle AgedPhosphorylationPositron-Emission TomographyMAPT protein, humantau Proteins

Identifiers

PMID40690524
PMCPMC12303394

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.