Evidence map›Paper›PMID 39279366›Full record

ReviewAlzheimer's & dementia : the journal of the Alzheimer's Association2024

Morphometry of medial temporal lobe subregions using high-resolution T2-weighted MRI in ADNI3: Why, how, and what's next?

Paul A Yushkevich, Ranjit Ittyerah, Yue Li, Amanda E Denning, Niyousha Sadeghpour, Sydney Lim, Emily McGrew, Long Xie, Robin DeFlores, Christopher A Brown and 4 more

Abstract readReview
In one paragraph

Review in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  12. Tau burden is best captured by magnitude and extent: Tau-MaX as a measure of global tau.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  13. 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.

Paul A YushkevichDepartment of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.ORCID 0000-0001-8543-4016
Ranjit IttyerahDepartment of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Yue LiDepartment of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Amanda E DenningDepartment of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Niyousha SadeghpourDepartment of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Sydney LimDepartment of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Emily McGrewDepartment of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Long XieDepartment of Digital Technology and Innovation, Siemens Healthineers, Malvern, Pennsylvania, USA.
Robin DeFloresUMR-S U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", INSERM, Caen, France.
Christopher A BrownDepartment of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Laura E M WisseDepartment of Diagnostic Radiology, Lund University, Lund, Sweden.
David A WolkDepartment of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Sandhitsu R DasDepartment of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Alzheimer's Disease Neuroimaging Initiative

Funding

Project 1U19AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI Duygu Tosun-Turgut · 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
Research Education ComponentP30AG072979 · NIA · UNIVERSITY OF PENNSYLVANIA · PI DAVID A WOLK · 2021 to 2026
$24.8M
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
A harmonized medial temporal lobe subregion segmentation protocol: an essential element for dementia researchR01AG070592 · NIA · WAYNE STATE UNIVERSITY · PI Ana Marie Daugherty, Rosanna Kathleen Olsen · 2022 to 2026
$3.5M
Research Training Program in Disease Oriented Neuroscience (R25)R25NS065745 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI DETRE, JOHN A · 2009 to 2023
$3.0M
Improving the sensitivity and specificity of MRI-based biomarkers in Alzheimer's diseaseRF1AG069474 · NIA · UNIVERSITY OF PENNSYLVANIA · PI WOLK, DAVID A, YUSHKEVICH, PAUL A. · 2021 to 2021
$2.1M
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
Research Training Program in Disease-Oriented Neuroscience (R25)UE5NS065745 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Geoffrey Karl Aguirre, HAN-CHIAO ISAAC CHEN · 2024 to 2026
$1.7M
Improving the sensitivity and specificity of MRI-based biomarkers in Alzheimer's diseaseR01AG069474 · NIA · UNIVERSITY OF PENNSYLVANIA · PI WOLK, DAVID A, YUSHKEVICH, PAUL A. · 2024 to 2025
$1.4M
AbbVieAlzheimer's Drug Discovery FoundationAraclon BiotechBioClinica, Inc.BiogenBristol-Myers Squibb CompanyCereSpir, Inc.CIHRCogstateEisai Inc.Elan Pharmaceuticals, Inc.Eli Lilly and CompanyEuroImmunF. Hoffmann-La Roche Ltd.Foundation for the National Institutes of Health (FNIH)Fred A. and Barbara M. Erb Family FoundationFujirebioGE HealthcareIXICO Ltd.Janssen Alzheimer Immunotherapy Research & Development, LLCJohnson & Johnson Pharmaceutical Research & Development LLCLumosityLundbeckMerck & Co., Inc.Meso Scale DiagnosticsNeuroRx ResearchNeurotrack TechnologiesNIA NIH HHS P30 AG072979NIA NIH HHS P30-AG072979NIA NIH HHS R01 AG056014NIA NIH HHS R01 AG069474NIA NIH HHS R01-AG069474NIA NIH HHS R01 AG070592NIA NIH HHS R01-AG070592NIA NIH HHS RF1 AG056014NIA NIH HHS RF1-AG056014NIA NIH HHS RF1 AG069474NIA NIH HHS U01 AG024904NIA NIH HHS U19 AG024904NIA NIH HHS U19-AG024904NIBIB NIH HHSNINDS NIH HHS R25 NS065745NINDS NIH HHS R25-NS065745NINDS NIH HHS UE5 NS065745Novartis Pharmaceuticals CorporationPfizer Inc.Piramal ImagingServierTakeda Pharmaceutical CompanyThe Alzheimer's Association AACSF-23-1152241Transition Therapeutics
6 · The paper itself

Abstract

This paper for the 20th anniversary of the Alzheimer's Disease Neuroimaging Initiative (ADNI) provides an overview of magnetic resonance imaging (MRI) of medial temporal lobe (MTL) subregions in ADNI using a dedicated high-resolution T2-weighted sequence. A review of the work that supported the inclusion of this imaging modality into ADNI Phase 3 is followed by a brief description of the ADNI MTL imaging and analysis protocols and a summary of studies that have used these data. This review is supplemented by a new study that uses novel surface-based tools to characterize MTL neurodegeneration across biomarker-defined AD stages. This analysis reveals a pattern of spreading cortical thinning associated with increasing levels of tau pathology in the presence of elevated amyloid beta, with apparent epicenters in the transentorhinal region and inferior hippocampal subfields. The paper concludes with an outlook for high-resolution imaging of the MTL in ADNI Phase 4. HIGHLIGHTS: As of Phase 3, the Alzheimer's Disease Neuroimaging Initiative (ADNI) magnetic resonance imaging (MRI) protocol includes a high-resolution T2-weighted MRI scan optimized for imaging hippocampal subfields and medial temporal lobe (MTL) subregions. These scans are processed by the ADNI core to obtain automatic segmentations of MTL subregions and to derive morphologic measurements. More detailed granular examination of MTL neurodegeneration in response to disease progression is achieved by applying surface-based modeling techniques. Surface-based analysis of gray matter loss in MTL subregions reveals increasing and spatially expanding patterns of neurodegeneration with advancing stages of Alzheimer's disease (AD), as defined based on amyloid and tau positron emission tomography biomarkers in accordance with recently proposed criteria. These patterns closely align with post mortem literature on spread of pathological tau in AD, supporting the role of tau pathology in the presence of elevated levels of amyloid beta as the driver of neurodegeneration.

Indexed as

Alzheimer DiseaseMagnetic Resonance ImagingTemporal LobeHumansNeuroimagingAlzheimer's Disease Neuroimaging Initiativehippocampal subfieldsmedial temporal lobemorphometrysegmentation

Identifiers

PMID39279366
PMCPMC11567830

What OpenQuestion holds

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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.