Evidence map›Paper›PMID 42620569›Full record

ArticleNeuroimage. Reports2026

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 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neuroimage. Reports, 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

12 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.
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.

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 Abhay Moghekar · 2014 to 2026
$51.5M
Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI Corinne Pettigrew · 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
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 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, entorhinal cortex (ERC) and transentorhinal cortex (TEC) are shown to change earlier in the disease than the hippocampus based on volume atrophy rate. Over four hundred laminar reconstructions showed that ERC/TEC 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 amygdala compared with the lateral subregion. Consistent with prior studies linking MRI-derived atrophy to hyperphosphorylated tau deposition in the amygdala and ERC/TEC, the atrophy rate marker demonstrates strong associations with tau PET measures and spatial co-localization with tau pathology.

Indexed as

Alzheimer’s diseaseAmygdala atrophyLaminar cortical thinningMRI biomarkersMultimodal neuroimaging

Identifiers

PMID42620569
PMCPMC13486336

What Socratic holds

Textmetadata
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 Socratic graph.