Evidence map›Paper›PMID 32323446›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2020

Contribution of mixed pathology to medial temporal lobe atrophy in Alzheimer's disease.

Robin de Flores, Laura E M Wisse, Sandhitsu R Das, Long Xie, Corey T McMillan, John Q Trojanowski, John L Robinson, Murray Grossman, Edward Lee, David J Irwin and 2 more

Abstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing 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

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

  1. Clinical criteria for limbic-predominant age-related TDP-43 encephalopathy.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Pooled it
  2. Review
  3. Brain morphometry patterns in the presence of Alzheimer's disease and/or LATE neuropathologic changes.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  4. Deep learning-based MRI analysis reveals Lewy body co-pathology accelerates brain aging in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Plasma p-tau217 and p-tau217/AβScientific reports · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Disease stage-specific atrophy markers in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  20. Article

12 more citing papers are in PubMed but not listed here.

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

12 authors.

Robin de FloresDepartment of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Laura E M WissePenn Image Computing and Science Laboratory (PICSL), University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Sandhitsu R DasPenn Image Computing and Science Laboratory (PICSL), University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Long XiePenn Image Computing and Science Laboratory (PICSL), University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Corey T McMillanPenn FTD Center, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
John Q TrojanowskiDepartment of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
John L RobinsonCenter for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Murray GrossmanDepartment of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Edward LeeCenter for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
David J IrwinDepartment of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Paul A YushkevichPenn Image Computing and Science Laboratory (PICSL), University of Pennsylvania, Philadelphia, Pennsylvania, USA.
David A WolkDepartment of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Funding

NATIONAL ALZHEIMERS COORDINATING CENTER (NACC)U01AG016976 · NIA · UNIVERSITY OF WASHINGTON · PI KUKULL, WALTER ANTHONY · 1999 to 2020
$72.8M
National Alzheimer's Coordinating CenterU24AG072122 · NIA · UNIVERSITY OF WASHINGTON · PI STEPHENS, KARI A · 2021 to 2025
$45.8M
Transgenic Mouse Models of Tau PathologiesP01AG017586 · NIA · UNIVERSITY OF PENNSYLVANIA · PI LEE, VIRGINIA M · 2000 to 2021
$37.3M
UPenn ADCC Biomarker CoreP30AG010124 · NIA · UNIVERSITY OF PENNSYLVANIA · PI XIE, SHARON XIANGWEN · 1991 to 2020
$35.1M
Understanding Environmental Contributions to Heterogeneity in bvFTD.P01AG066597 · NIA · UNIVERSITY OF PENNSYLVANIA · PI David John Irwin, Corey T McMillan · 2020 to 2026
$18.8M
Project IV "Tackling Heterogeneity of Cognitive Trajectory in LBD"U19AG062418 · NIA · UNIVERSITY OF PENNSYLVANIA · PI TROJANOWSKI, JOHN Q. · 2019 to 2023
$18.1M
Ex Vivo Imaging of the Aging Brain to Discover Morphology/Pathology AssociationsR01AG056014 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Paul A. Yushkevich · 2017 to 2026
$4.5M
Modulators of Medial Temporal Lobe Subregion Structure and Function in Normal and Pathological AgingR01AG055005 · NIA · UNIVERSITY OF PENNSYLVANIA · PI WOLK, DAVID A · 2017 to 2021
$3.3M
Adaptive Large-Scale Framework for Automatic Biomedical Image SegmentationR01EB017255 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI YUSHKEVICH, PAUL A. · 2014 to 2018
$3.0M
Ex Vivo Imaging of the Aging Brain to Discover Morphology/Pathology AssociationsRF1AG056014 · NIA · UNIVERSITY OF PENNSYLVANIA · PI YUSHKEVICH, PAUL A. · 2023 to 2023
$2.1M
Identification of Endophenotypes in the Behavioral-Variant of Frontotemporal DemeK23NS088341 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI IRWIN, DAVID JOHN · 2014 to 2018
$836k
Resistance and Vulnerability for Alzheimer's and Related PathologiesR56AG058732 · NIA · UNIVERSITY OF PENNSYLVANIA · PI MCMILLAN, COREY T · 2019 to 2019
$799k
NIA NIH HHS P01 AG017586NIA NIH HHS P01 AG066597NIA NIH HHS P30 AG010124NIA NIH HHS R01 AG055005NIA NIH HHS R01 AG056014NIA NIH HHS R56 AG058732NIA NIH HHS RF1 AG056014NIA NIH HHS U01 AG016976NIA NIH HHS U19 AG062418NIA NIH HHS U24 AG072122NIBIB NIH HHS R01 EB017255NINDS NIH HHS K23 NS088341
6 · The paper itself

Abstract

introductionIt is unclear how different proteinopathies (tau, transactive response DNA-binding protein 43 [TDP-43], amyloid β [Aβ], and α-synuclein) contribute to atrophy within medial temporal lobe (MTL) subregions in Alzheimer's disease (AD).

methodsWe utilized antemortem structural magnetic resonance imaging (MRI) data to measure MTL substructures and examined the relative contribution of tau, TDP-43, Aβ, and α-synuclein measured in post-mortem tissue from 92 individuals with intermediate to high AD neuropathology. Receiver-operating characteristic (ROC) curves were analyzed for each subregion in order to discriminate TDP-43-negative and TDP-43-positive patients.

resultsTDP-43 was strongly associated with anterior MTL regions, whereas tau was relatively more associated with the posterior hippocampus. Among the MTL regions, the anterior hippocampus showed the highest area under the ROC curve (AUC). DISCUSSION: We found specific contributions of different pathologies on MTL substructure in this population with AD neuropathology. The anterior hippocampus may be a relevant region to detect concomitant TDP-43 pathology in the MTL of patients with AD.

Indexed as

alpha-SynucleinAlzheimer DiseaseAmyloid beta-PeptidesAtrophyDNA-Binding ProteinsHumansMagnetic Resonance Imagingtau ProteinsTemporal Lobealpha-SynucleinAmyloid beta-PeptidesDNA-Binding ProteinsTARDBP protein, humantau ProteinsAlzheimer's diseaseatrophymedial temporal lobeneuropathologytauTDP-43

Identifiers

PMID32323446
PMCPMC7715004

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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.