Evidence map›Paper›PMID 37700618›Full record

ArticleThe Journal of comparative neurology2023

Assessing individual variability of the entorhinal subfields in health and disease.

Jan Oltmer, Douglas N Greve, Stefano Cerri, Natalya Slepneva, Josue Llamas-Rodríguez, Juan Eugenio Iglesias, Koen Van Leemput, Samantha N Champion, Matthew P Frosch, Jean C Augustinack

Abstract read
In one paragraph

Article in The Journal of comparative neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

10 authors.

Jan OltmerAthinoula A. Martinos Center, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA.ORCID 0000-0001-6190-7069
Douglas N GreveAthinoula A. Martinos Center, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Stefano CerriAthinoula A. Martinos Center, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Natalya SlepnevaAthinoula A. Martinos Center, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA.ORCID 0000-0001-6290-824X
Josue Llamas-RodríguezAthinoula A. Martinos Center, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Juan Eugenio IglesiasAthinoula A. Martinos Center, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Koen Van LeemputAthinoula A. Martinos Center, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Samantha N ChampionDepartment of Neuropathology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Matthew P FroschDepartment of Neuropathology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Jean C AugustinackAthinoula A. Martinos Center, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA.

Funding

Building a pathology-validated neuroimaging tool for Alzheimer's DiseaseR01AG057672 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI AUGUSTINACK, JEAN · 2018 to 2022
$2.4M
Establishing cellular-validated standards for parcellating hippocampal subfields in aging and Alzheimer's diseaseRF1AG072056 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI AUGUSTINACK, JEAN · 2021 to 2021
$1.7M
NIA NIH HHS R01 AG057672NIA NIH HHS RF1 AG072056NIH HHS R01AG057672NIH HHS RF1AG072056
6 · The paper itself

Abstract

Investigating interindividual variability is a major field of interest in neuroscience. The entorhinal cortex (EC) is essential for memory and affected early in the progression of Alzheimer's disease (AD). We combined histology ground-truth data with ultrahigh-resolution 7T ex vivo MRI to analyze EC interindividual variability in 3D. Further, we characterized (1) entorhinal shape as a whole, (2) entorhinal subfield range and midpoints, and (3) subfield architectural location and tau burden derived from 3D probability maps. Our results indicated that EC shape varied but was not related to demographic or disease factors at this preclinical stage. The medial intermediate subfield showed the highest degree of location variability in the probability maps. However, individual subfields did not display the same level of variability across dimensions and outcome measure, each providing a different perspective. For example, the olfactory subfield showed low variability in midpoint location in the superior-inferior dimension but high variability in anterior-posterior, and the subfield entorhinal intermediate showed a large variability in volumetric measures but a low variability in location derived from the 3D probability maps. These findings suggest that interindividual variability within the entorhinal subfields requires a 3D approach incorporating multiple outcome measures. This study provides 3D probability maps of the individual entorhinal subfields and respective tau pathology in the preclinical stage (Braak I and II) of AD. These probability maps illustrate the subfield average and may serve as a checkpoint for future modeling.

Indexed as

Alzheimer DiseaseHippocampusEntorhinal CortexHumansMagnetic Resonance ImaginghistologyMRIphosphorylated tauthree-dimensionalvalidation

Identifiers

PMID37700618
PMCPMC10841297

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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.