Evidence map›Paper›PMID 36630864›Full record

ArticleNeuroImage. Clinical2023

Microstructural mapping of dentate gyrus pathology in Alzheimer's disease: A 16.4 Tesla MRI study.

Nien-Chu Shih, Nyoman D Kurniawan, Ryan P Cabeen, Laura Korobkova, Ellen Wong, Helena C Chui, Kristi A Clark, Carol A Miller, Debra Hawes, Kymry T Jones and 1 more

Open access · goldAbstract 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Hippocampal grey matter changes across scales in Alzheimer's Disease.bioRxiv : the preprint server for biology · 2025
    Article
  4. Article
  5. Article
  6. Diffusion MRI of the Hippocampus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    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

11 authors at 2 institutions in 2 countries.

Nien-Chu ShihUSC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
Nyoman D KurniawanCenter for Advanced Imaging, The University of Queensland, Brisbane 4072, Australia.
Ryan P CabeenUSC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
Laura KorobkovaNeuroscience Graduate Program, University of Southern California, Los Angeles, CA 90089. USA.
Ellen WongDepartment of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Department of Neurology, Rancho Los Amigos National Rehabilitation Center, Downey, CA 90242, USA.
Helena C ChuiDepartment of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
Kristi A ClarkDepartment of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
Carol A MillerDepartment of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
Debra HawesDepartment of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Department of Pathology and Laboratory Medicine, Children's Hospital of Los Angeles, Los Angeles, CA 90033, USA.
Kymry T JonesDepartment of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA. Electronic address: KTJONE8@emory.edu.
Farshid SepehrbandUSC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA. Electronic address: Farshid.sepehrband@loni.usc.edu.
University of Southern California · USThe University of Queensland · AU

Funding

USCADRC Diversity Supplement PachicanoP30AG066530 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HELENA Chang CHUI, ARTHUR W TOGA · 2020 to 2026
$27.8M
TR&D3: Intrinsic Surface MappingP41EB015922 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI VAN HORN, JOHN DARRELL · 2012 to 2022
$14.1M
TrainingU54EB020406 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TOGA, ARTHUR W · 2014 to 2018
$12.5M
Genetic Influences on Human Neuroanatomical ShapesR01MH094343 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TOGA, ARTHUR W · 2012 to 2016
$2.4M
Changes in the reading network of dyslexia as measured by multimodal imagingR00HD065832 · NICHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CLARK, KRISTI A · 2013 to 2015
$734k
NIA NIH HHS P30 AG066530NIBIB NIH HHS P41 EB015922NIBIB NIH HHS U54 EB020406NICHD NIH HHS R00 HD065832NIMH NIH HHS R01 MH094343
6 · The paper itself

Abstract

The dentate gyrus (DG) is an integral portion of the hippocampal formation, and it is composed of three layers. Quantitative magnetic resonance (MR) imaging has the capability to map brain tissue microstructural properties which can be exploited to investigate neurodegeneration in Alzheimer's disease (AD). However, assessing subtle pathological changes within layers requires high resolution imaging and histological validation. In this study, we utilized a 16.4 Tesla scanner to acquire ex vivo multi-parameter quantitative MRI measures in human specimens across the layers of the DG. Using quantitative diffusion tensor imaging (DTI) and multi-parameter MR measurements acquired from AD (N = 4) and cognitively normal control (N = 6) tissues, we performed correlation analyses with histological measurements. Here, we found that quantitative MRI measures were significantly correlated with neurofilament and phosphorylated Tau density, suggesting sensitivity to layer-specific changes in the DG of AD tissues.

Indexed as

Alzheimer DiseaseDiffusion Tensor ImagingBrainDentate GyrusHippocampusHumansMagnetic Resonance ImagingAlzheimer’s diseaseDentate gyrusDiffusionHistologyStructural MRI

Identifiers

PMID36630864
PMCPMC9841366
OpenAlexW4313556322

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.