Evidence map›Paper›PMID 41646663›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Rostral Associations of MRI Atrophy of the Amygdala and Entorhinal Cortex Across the AD Spectrum.

Michael I Miller, Yi Xie, Kaitlin M Stouffer, Can Ceritoglu, Jiabei Li, J Tilak Ratnanather, Laurent Younes, Arnold Bakker, Nisha Rani, Marilyn S Albert and 3 more

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In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Michael I MillerDepartment of Biomedical Engineering, Johns Hopkins University, 3400 N Charles St, Baltimore, 21218, MD, USA.
Yi XieDepartment of Electrical and Computer Engineering, Johns Hopkins University, 3400 N Charles St, Baltimore, 21218, MD, USA.ORCID 0009-0004-2375-8911
Kaitlin M StoufferDepartment of Biomedical Engineering, Johns Hopkins University, 3400 N Charles St, Baltimore, 21218, MD, USA.
Can CeritogluThe Center for Imaging Science, Johns Hopkins University, 3400 N Charles St, Baltimore, 21218, MD, USA.
Jiabei LiDepartment of Biomedical Engineering, Johns Hopkins University, 3400 N Charles St, Baltimore, 21218, MD, USA.
J Tilak RatnanatherDepartment of Biomedical Engineering, Johns Hopkins University, 3400 N Charles St, Baltimore, 21218, MD, USA.
Laurent YounesThe Center for Imaging Science, Johns Hopkins University, 3400 N Charles St, Baltimore, 21218, MD, USA.
Arnold BakkerDepartment of Neurology, Johns Hopkins School of Medicine, 733 N Broadway, Baltimore, 21205, MD, USA.
Nisha RaniDepartment of Psychiatry and Behavioral Sciences and Department of Neurology, Johns Hopkins University School of Medicine, 733 N Broadway, Baltimore, 21205, MD, USA.
Marilyn S AlbertDepartment of Neurology, Johns Hopkins School of Medicine, 733 N Broadway, Baltimore, 21205, MD, USA.
Juan C TroncosoDepartment of Pathology, Johns Hopkins University School of Medicine, 733 N Broadway, Baltimore, 21205, MD, USA.
Meaghan MorrisDepartment of Pathology, Johns Hopkins University School of Medicine, 733 N Broadway, Baltimore, 21205, MD, USA.
Alzheimer’s Disease Neuroimaging Initiative

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
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
Neurodegenerative and Neurodevelopmental Subcortical Shape DiffeomorphometryR01EB020062 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI MILLER, MICHAEL I, MOSTOFSKY, STEWART H · 2016 to 2019
$2.8M
NIA NIH HHS P30 AG066507NIA NIH HHS U01 AG024904NIA NIH HHS U19 AG033655NIBIB NIH HHS P41 EB031771NIBIB NIH HHS R01 EB020062NIGMS NIH HHS T32 GM136577
6 · The paper itself

Abstract

This paper examines associations of atrophy in the amygdala, entorhinal cortex and hippocampus based on magnetic resonance imaging (MRI) and Positron Emission Tomography (PET) scans from two independent cohorts: Alzheimer's Disease Neuroimaging Initiative (ADNI) and Biomarkers of Cognitive Decline Among Normal Individuals (BIOCARD) study. The amygdala and entorhinal cortex (ERC) are shown to change earlier in the disease than the hippocampus based on atrophy of laminar thickness of the ERC and amygdala volumes. Over four hundred laminar reconstructions showed that ERC volume loss is linked to cortical thinning, as a more specific measure historically linked to the layer specific pattern of tau pathology deposition. Additionally, high field atlasing with delineations of amygdala subregions shows predominant volume loss in medial subregions including basomedial, basolateral, and corticocentromedial compared with the lateral subregion. In the context of earlier work linking MRI-based atrophy with hyperphosphorylated tau deposition in the ERC and amygdala, the atrophy rate marker is shown to be strongly associated with tau deposition as measured by tau positron emission tomography imaging and co-localization of the atrophy marker to the spatial distribution of tau deposition.

Indexed as

Alzheimer’s DiseaseAmygdala atrophyLaminar cortical thinningMRI biomarkersMultimodal neuroimaging

Identifiers

PMID41646663
PMCPMC12870581

What OpenQuestion holds

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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.