Evidence map›Paper›PMID 42657236›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)

Structural MRI signature predicts tau staging in Alzheimer's disease.

Martina Pulze, Sara Garbarino, Luigi Lorenzini, Alessio Cirone, Shahzad Ali, Lorenzo Gualco, Federico Massa, Dario Arnaldi, Beatrice Orso, Mattia Losa and 17 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Structural MRI signature predicts tau staging in Alzheimer's disease.Alzheimer's & dementia (Amsterdam, Netherlands)
    Article
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

27 authors.

Martina PulzeDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI) University of Genoa Genoa Italy.
Sara GarbarinoDepartment of Mathematics (DIMA) University of Genoa Genoa Italy.
Luigi LorenziniDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI) University of Genoa Genoa Italy.
Alessio CironeIRCCS Azienda Ospedaliera Metropolitana Genoa Italy.
Shahzad AliDepartment of Pharmacy and Biotechnology Alma Mater Studiorum - University of Bologna Bologna Italy.
Lorenzo GualcoDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI) University of Genoa Genoa Italy.
Federico MassaDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI) University of Genoa Genoa Italy.
Dario ArnaldiDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI) University of Genoa Genoa Italy.
Beatrice OrsoDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI) University of Genoa Genoa Italy.
Mattia LosaDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI) University of Genoa Genoa Italy.
Wendy KreshpaDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI) University of Genoa Genoa Italy.
Stefano CanevaDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI) University of Genoa Genoa Italy.
Matteo ParodiDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI) University of Genoa Genoa Italy.
Luca SofiaDepartment of Health Sciences University of Genoa Genoa Italy.
Stefano RaffaIRCCS Azienda Ospedaliera Metropolitana Genoa Italy.
Gianmario SambucetiIRCCS Azienda Ospedaliera Metropolitana Genoa Italy.
Massimo CauloDepartment of Neuroscience, Imaging and Clinical Sciences University G. d'Annunzio of Chieti-Pescara Chieti Italy.
Emanuele PravatàDepartment of Neuroscience, Imaging and Clinical Sciences University G. d'Annunzio of Chieti-Pescara Chieti Italy.
Fabrizio LevreroIRCCS Azienda Ospedaliera Metropolitana Genoa Italy.
Marco BozzaliRita Levi Montalcini's Department of Neuroscience University of Torino Turin Italy.
Silvia MorbelliAOU Città Della Salute e Della Scienza di Torino Turin Italy.
Michele PianaDepartment of Mathematics (DIMA) University of Genoa Genoa Italy.
Antonio UccelliDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI) University of Genoa Genoa Italy.
Luca RoccatagliataIRCCS Azienda Ospedaliera Metropolitana Genoa Italy.
Andrea ChincariniNational Institute for Nuclear Physics (INFN) Genoa Italy.
Matteo PardiniDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI) University of Genoa Genoa Italy.
Alzheimer's Disease Neuroimaging Initiative

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
NIA NIH HHS U01 AG024904
6 · The paper itself

Abstract

introductionTau positron emission tomography (PET) probes Alzheimer's disease (AD) severity via regional tau spread but is not widely available. We tested whether multiregion structural magnetic resonance imaging (MRI) could approximate individual tau burden.

methodsWe studied 378 Alzheimer's Disease Neuroimaging Initiative (ADNI) participants with mild cognitive impairment (MCI)-AD or AD dementia with paired T1-MRI and [18F]flortaucipir tau-PET (≤6 months apart). Regional cortical thickness and volume were extracted with FreeSurfer. Principal component analysis and multivariable linear regression yielded MRI signatures of tau-PET standardized uptake value ratio (SUVR) in Braak composite regions (I, III-IV, V-VI), a meta-temporal region of interest (ROI), and a global neocortical meta-ROI. Performance and high/low tau classification were evaluated by leave-one-out cross-validation against published cut-offs.

resultsMRI signatures were significantly associated with tau-PET burden across all regions ( Discussion: Here we provide proof-of-concept evidence that multiregion T1-MRI patterns can inform on tau-PET burden in AD and may support approximate tau staging when tau-PET is unavailable, especially in subjects with more advanced tau burden.

Indexed as

Alzheimer's diseaseatrophyMRItau

Identifiers

PMID42657236
PMCPMC13508572

What OpenQuestion holds

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Registered trials

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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.