Evidence map›Paper›PMID 35491780›Full record

ArticleJournal of Alzheimer's disease : JAD2022

Entorhinal Subfield Vulnerability to Neurofibrillary Tangles in Aging and the Preclinical Stage of Alzheimer's Disease.

Josué Llamas-Rodríguez, Jan Oltmer, Douglas N Greve, Emily Williams, Natalya Slepneva, Ruopeng Wang, Samantha Champion, Melanie Lang-Orsini, Bruce Fischl, Matthew P Frosch and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
4.0field-weighted citation impact, top 5% of its field
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

28 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
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  7. Tau, atrophy, and domain-specific cognitive impairment in typical Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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  12. Review
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  14. Entorhinal vessel density correlates with phosphorylated tau and TDP-43 pathology.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
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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

12 authors at 3 institutions in 1 country.

Josué Llamas-RodríguezDepartment of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA.
Jan OltmerDepartment of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA.
Douglas N GreveDepartment of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA.
Emily WilliamsDepartment of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA.
Natalya SlepnevaDepartment of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA.
Ruopeng WangDepartment of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA.
Samantha ChampionDepartment of Neuropathology, Massachusetts General Hospital, Boston, MA, USA.
Melanie Lang-OrsiniDepartment of Neuropathology, Massachusetts General Hospital, Boston, MA, USA.
Bruce FischlDepartment of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA.
Matthew P FroschDepartment of Neuropathology, Massachusetts General Hospital, Boston, MA, USA.
André J W van der KouweDepartment of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA.
Jean C AugustinackDepartment of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA.
Athinoula A. Martinos Center for Biomedical Imaging · USMassachusetts General Hospital · USHarvard–MIT Division of Health Sciences and Technology · US

Funding

Research Education ComponentP30AG062421 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI STEVEN E ARNOLD · 2019 to 2026
$36.5M
ULTRAHIGH FIELD TECHNOLOGY FOR FUNCTIONAL IMAGINGP41RR014075 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI BOAS, DAVID A · 1999 to 2011
$16.4M
Training and Dissemination CoreP41EB030006 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Susie Yi Huang, BRUCE R ROSEN · 2020 to 2026
$10.9M
FreeSurfer Development, Maintenance, and HardeningR01EB023281 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Bruce Fischl, Douglas Nowlin Greve · 2016 to 2026
$5.6M
Segmenting Brain Structures for Neurological DisordersR01NS105820 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI Bruce Fischl · 2019 to 2026
$3.2M
Tools for Analyzing Cortical Structure and ConnectivityR01NS052585 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 2006 to 2010
$2.5M
Algorithms for MR and OCT-based Architectonic and Laminar SegmentationR01EB019956 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 2015 to 2018
$2.4M
Building a pathology-validated neuroimaging tool for Alzheimer's DiseaseR01AG057672 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI AUGUSTINACK, JEAN · 2018 to 2022
$2.4M
A Storage Area Network for Structural and Functional Image AnalysisS10RR023401 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 2009 to 2009
$2.0M
Open-source software for multi-scale mapping of the human brainRF1MH123195 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE, IGLESIAS GONZALEZ, JUAN EUGENIO · 2020 to 2020
$2.0M
Inferring in Vivo Cytoarchitectural Borders in the Medial Temporal LobeR01EB006758 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 2007 to 2010
$1.9M
MRI brain morphometry for computer-aided detection of neurological disordersR44NS089090 · NINDS · CORTICOMETRICS, LLC · PI FISCHL, BRUCE, SCHMANSKY, NICHOLAS JOHN · 2015 to 2017
$1.7M
NCRR NIH HHS P41 RR014075NCRR NIH HHS S10 RR023401NIA NIH HHS P30 AG062421NIA NIH HHS R01 AG057672NIA NIH HHS RF1 AG072056NIBIB NIH HHS P41 EB030006NIBIB NIH HHS R01 EB006758NIBIB NIH HHS R01 EB019956NIBIB NIH HHS R01 EB023281NIMH NIH HHS RF1 MH123195NINDS NIH HHS R01 NS052585NINDS NIH HHS R01 NS105820NINDS NIH HHS R21 NS072652NINDS NIH HHS R44 NS089090
6 · The paper itself

Abstract

backgroundNeurofibrillary tangle (NFT) accumulation in the entorhinal cortex (EC) precedes the transformation from cognitive controls to mild cognitive impairment and Alzheimer's disease (AD). While tauopathy has been described in the EC before, the order and degree to which the individual subfields within the EC are engulfed by NFTs in aging and the preclinical AD stage is unknown.

objectiveWe aimed to investigate substructures within the EC to map the populations of cortical neurons most vulnerable to tau pathology in aging and the preclinical AD stage.

methodsWe characterized phosphorylated tau (CP13) in 10 cases at eight well-defined anterior-posterior levels and assessed NFT density within the eight entorhinal subfields (described by Insausti and colleagues) at the preclinical stages of AD. We validated with immunohistochemistry and labeled the NFT density ratings on ex vivo MRIs. We measured subfield cortical thickness and reconstructed the labels as three-dimensional isosurfaces, resulting in anatomically comprehensive, histopathologically validated tau "heat maps."

resultsWe found the lateral EC subfields ELc, ECL, and ECs (lateral portion) to have the highest tau density in semi-quantitative scores and quantitative measurements. We observed significant stepwise higher tau from anterior to posterior levels (p < 0.001). We report an age-dependent anatomically-specific vulnerability, with all cases showing posterior tau pathology, yet older individuals displaying an additional anterior tau burden. Finally, cortical thickness of each subfield negatively correlated with respective tau scores (p < 0.05).

conclusionOur findings indicate that posterior-lateral subfields within the EC are the most vulnerable to early NFTs and atrophy in aging and preclinical AD.

Indexed as

Alzheimer DiseaseTauopathiesAgingEntorhinal CortexHumansNeurofibrillary Tanglestau Proteinstau ProteinsAgingcross-sectionalentorhinal cortexhistological labelingimmunohistochemistryneuropathologytauopathytemporal lobethree-dimensional imagingvalidation study

Identifiers

PMID35491780
PMCPMC9198759
OpenAlexW4224438181

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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.