Evidence map›Paper›PMID 35619830›Full record

ArticleAlzheimer's & dementia (New York, N. Y.)2022

Disentangling tau and brain atrophy cluster heterogeneity across the Alzheimer's disease continuum.

Jon B Toledo, Hangfan Liu, Michel J Grothe, Tanweer Rashid, Lenore Launer, Leslie M Shaw, Haykel Snoussi, Susan Heckbert, Michael Weiner, John Q Trojanwoski and 3 more

Abstract read
In one paragraph

Article in Alzheimer's & dementia (New York, N. Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Advancing global dementia research through equity and inclusion.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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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

13 authors.

Jon B ToledoDepartment of Neurology University of Florida College of Medicine Gainesville Florida USA.ORCID https://orcid.org/0000-0003-4366-9268
Hangfan LiuCenter for Biomedical Image Computing and Analytics (CBICA) University of Pennsylvania Philadelphia Pennsylvania USA.
Michel J GrotheUnidad de Trastornos del Movimiento, Instituto de Bioedicina de Sevilla (IBiS) Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla Seville Spain.
Tanweer RashidCenter for Biomedical Image Computing and Analytics (CBICA) University of Pennsylvania Philadelphia Pennsylvania USA.
Lenore LaunerLaboratory of Epidemiology and Population Sciences, Intramural Research Program National Institute on Aging Bethesda Maryland USA.
Leslie M ShawDepartment of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA.
Haykel SnoussiNeuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC), Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases University of Texas Health Science Center San Antonio (UTHSCSA) San Antonio Texas USA.
Susan HeckbertDepartment of Epidemiology and Cardiovascular Health Research Unit University of Washington Seattle Washington USA.
Michael WeinerDepartment of Veterans Affairs Medical Center Center for Imaging of Neurodegenerative Diseases San Francisco California USA.
John Q TrojanwoskiDepartment of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA.
Sudha SeshadriUdall Parkinson's Research Center Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA.
Mohamad HabesCenter for Biomedical Image Computing and Analytics (CBICA) University of Pennsylvania Philadelphia Pennsylvania USA.ORCID https://orcid.org/0000-0001-9447-5805
& for the Alzheimer's Disease Neuroimaging Initiative

Funding

Project 1U19AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI MICHAEL W WEINER · 2016 to 2026
$226.7M
Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
MVP Data Integration into the ADSP Phenotype Harmonization ConsortiumU24AG074855 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CUCCARO, MICHAEL L, HOHMAN, TIMOTHY J · 2021 to 2025
$37.5M
South Texas Alzheimer's Disease Research CenterP30AG066546 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Sudha Seshadri · 2021 to 2026
$24.0M
Atrial fibrillation burden, vascular disease of the brain and cardiac MRI in MESAR01HL127659 · NHLBI · UNIVERSITY OF WASHINGTON · PI HECKBERT, SUSAN R · 2015 to 2018
$7.4M
Genetic Markers of Brain AgingZIAAG007270 · NIA · NATIONAL INSTITUTE ON AGING · PI LAUNER, LENORE J · 2009 to 2025
$2.7M
Brain aging and cardiovascular risk factors and diseaseZIAAG007480 · NIA · NATIONAL INSTITUTE ON AGING · PI LAUNER, LENORE J · 2011 to 2025
$2.7M
NHLBI NIH HHS R01 HL127659NIA NIH HHS P30 AG066546NIA NIH HHS U01 AG024904NIA NIH HHS U19 AG024904NIA NIH HHS U24 AG074855
6 · The paper itself

Abstract

Introduction: Neuroimaging heterogeneity in dementia has been examined using single modalities. We evaluated the associations of magnetic resonance imaging (MRI) atrophy and flortaucipir positron emission tomography (PET) clusters across the Alzheimer's disease (AD) spectrum. Methods: We included 496 Alzheimer's Disease Neuroimaging Initiative participants with brain MRI, flortaucipir PET scan, and amyloid beta biomarker measures obtained. We applied a novel robust collaborative clustering (RCC) approach on the MRI and flortaucipir PET scans. We derived indices for AD-like (SPARE-AD index) and brain age (SPARE-BA) atrophy. Results: We identified four tau (I-IV) and three atrophy clusters. Tau clusters were associated with the apolipoprotein E genotype. Atrophy clusters were associated with white matter hyperintensity volumes. Only the hippocampal sparing atrophy cluster showed a specific association with brain aging imaging index. Tau clusters presented stronger clinical associations than atrophy clusters. Tau and atrophy clusters were partially associated. Conclusions: Each neuroimaging modality captured different aspects of brain aging, genetics, vascular changes, and neurodegeneration leading to individual multimodal phenotyping.

Indexed as

Alzheimer's diseaseamyloid betaheterogeneitymangetic resonance imagingpositron emission tomographyprognosistau

Identifiers

PMID35619830
PMCPMC9127251

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.