Evidence map›Paper›PMID 36934675›Full record

ArticleNeuroImage. Clinical2023

Early amygdala and ERC atrophy linked to 3D reconstruction of rostral neurofibrillary tau tangle pathology in Alzheimer's disease.

Kaitlin M Stouffer, Claire Chen, Sue Kulason, Eileen Xu, Menno P Witter, Can Ceritoglu, Marilyn S Albert, Susumu Mori, Juan Troncoso, Daniel J Tward and 2 more

Open access · goldFull text read
In one paragraph

Article in NeuroImage. Clinical, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
6.7field-weighted citation impact, top 2% 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

23 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
  2. Article
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  11. Disease stage-specific atrophy markers in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  12. Article
  13. Article
  14. MRI-Driven Longitudinal Studies of Hippocampal Alterations During the Initial Cognitive Decline.IEEE journal of translational engineering in health and medicine · 2025
    Article
  15. Amygdala atrophies in specific subnuclei in preclinical Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. Amidst an amygdala renaissance in Alzheimer's disease.Brain : a journal of neurology · 2024
    Article
  20. 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

12 authors at 3 institutions in 2 countries.

Kaitlin M StoufferDepartment of Biomedical Engineering, Johns Hopkins University, 3400 N Charles St, Baltimore 21218, MD, USA. Electronic address: kstouff4@jhmi.edu.
Claire ChenDepartment of Biomedical Engineering, Johns Hopkins University, 3400 N Charles St, Baltimore 21218, MD, USA.
Sue KulasonDepartment of Biomedical Engineering, Johns Hopkins University, 3400 N Charles St, Baltimore 21218, MD, USA.
Eileen XuDepartment of Biomedical Engineering, Johns Hopkins University, 3400 N Charles St, Baltimore 21218, MD, USA.
Menno P WitterKavli Institute for Systems Neuroscience, Norwegian University of Science and Technology, 7491 Trondheim, Norway.
Can CeritogluDepartment of Biomedical Engineering, Johns Hopkins University, 3400 N Charles St, Baltimore 21218, MD, USA.
Marilyn S AlbertDepartments of Neurology, Johns Hopkins School of Medicine, 733 N Broadway, Baltimore 21205, MD, USA.
Susumu MoriDepartment of Radiology, Johns Hopkins School of Medicine, 733 N Broadway, Baltimore 21205, MD, USA.
Juan TroncosoDepartment of Pathology, Johns Hopkins School of Medicine, 733 N Broadway, Baltimore 21205, MD, USA.
Daniel J TwardDepartments of Computational Medicine and Neurology, University of California, Los Angeles, UCLA Brain Mapping Center, 660 Charles E. Young Drive South, Los Angeles 90095, CA, USA.
Michael I MillerDepartment of Biomedical Engineering, Johns Hopkins University, 3400 N Charles St, Baltimore 21218, MD, USA.
Alzheimer’s Disease Neuroimaging Initiative
Johns Hopkins University · USNorwegian University of Science and Technology · NOUniversity of California, Los Angeles · US

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Tool and Technology Development CoreU19MH114821 · NIMH · COLD SPRING HARBOR LABORATORY · PI ARLOTTA, PAOLA, HUANG, Z JOSH · 2017 to 2021
$64.5M
Project 2 MeasurementU19AG033655 · NIA · JOHNS HOPKINS UNIVERSITY · PI Mei Cheng Wang · 2014 to 2026
$51.5M
Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI MARILYN S. ALBERT · 2020 to 2026
$29.3M
Medical Scientist Training ProgramT32GM136577 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI ANDREA L COX · 2020 to 2026
$13.4M
TRD 4: Platforms for multi-modal and multi-scale imaging dataP41EB031771 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI Hanzhang Lu, Peter CM Van Zijl · 2021 to 2026
$9.9M
A 3D multimodal micron-scale human brain atlas bridging single cell data, neuropathology and neuroradiologyRF1MH128875 · NIMH · COLD SPRING HARBOR LABORATORY · PI MITRA, PARTHA PRATIM, ZHANG, JIANGYANG · 2021 to 2021
$5.3M
Interactive software for semiautomated analysis of structural brain imagesR01NS074980 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LEAHY, RICHARD M, SHATTUCK, DAVID W · 2011 to 2021
$5.0M
Neurodegenerative and Neurodevelopmental Subcortical Shape DiffeomorphometryR01EB020062 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI MILLER, MICHAEL I, MOSTOFSKY, STEWART H · 2016 to 2019
$2.8M
A Computational Framework for Distributed Registration of Massive Neuroscience ImagesRF1MH126732 · NIMH · KITWARE, INC. · PI ENQUOBAHRIE, ANDINET ASMAMAW · 2021 to 2021
$1.4M
Fluency from Flesh to Filament: Collation, Representation, and Analysis of Multi-Scale Neuroimaging data to Characterize and Diagnose Alzheimer's DiseaseF30AG077736 · NIA · JOHNS HOPKINS UNIVERSITY · PI STOUFFER, KAITLIN · 2022 to 2025
$160k
NIA NIH HHS F30 AG077736NIA NIH HHS P30 AG066507NIA NIH HHS U01 AG024904NIA NIH HHS U19 AG033655NIBIB NIH HHS P41 EB031771NIBIB NIH HHS R01 EB020062NIGMS NIH HHS T32 GM136577NIMH NIH HHS RF1 MH126732NIMH NIH HHS RF1 MH128875NIMH NIH HHS U19 MH114821NINDS NIH HHS R01 NS074980
6 · The paper itself

Abstract

Previous research has emphasized the unique impact of Alzheimer's Disease (AD) pathology on the medial temporal lobe (MTL), a reflection that tau pathology is particularly striking in the entorhinal and transentorhinal cortex (ERC, TEC) early in the course of disease. However, other brain regions are affected by AD pathology during its early phases. Here, we use longitudinal diffeomorphometry to measure the atrophy rate from MRI of the amygdala compared with that in the ERC and TEC in cognitively unimpaired (CU) controls, CU individuals who progressed to mild cognitive impairment (MCI), and individuals with MCI who progressed to dementia of the AD type (DAT), using a dataset from the Alzheimer's Disease Neuroimaging Initiative (ADNI). Our results show significantly higher atrophy rates of the amygdala in both groups of 'converters' (CU→MCI, MCI→DAT) compared to controls, with rates of volume loss comparable to rates of thickness loss in the ERC and TEC. We localize atrophy within the amygdala within each of these groups using fixed effects modeling. Controlling for the familywise error rate highlights the medial regions of the amygdala as those with significantly higher atrophy in both groups of converters than in controls. Using our recently developed method, referred to as Projective LDDMM, we map measures of neurofibrillary tau tangles (NFTs) from digital pathology to MRI atlases and reconstruct dense 3D spatial distributions of NFT density within regions of the MTL. The distribution of NFTs is consistent with the spatial distribution of MR measured atrophy rates, revealing high densities (and atrophy) in the amygdala (particularly medial), ERC, and rostral third of the MTL. The similarity of the location of NFTs in AD and shape changes in a well-defined clinical population suggests that amygdalar atrophy rate, as measured through MRI may be a viable biomarker for AD.

Indexed as

Alzheimer DiseaseCognitive DysfunctionAmygdalaAtrophyHumansImaging, Three-DimensionalMagnetic Resonance ImagingTemporal LobeAlzheimer’s diseaseAmygdala atrophyDigital pathologyMRI biomarkers

Identifiers

PMID36934675
PMCPMC10034129
OpenAlexW4324367418

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LicenceCC BY
reference markers read13
measurements read31
table measurements read1
Read underepoch 390

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.