Evidence map›Paper›PMID 35838075›Full record

ArticleHippocampus2022

Hippocampal dentate gyrus integrity revealed with ultrahigh resolution diffusion imaging predicts memory performance in older adults.

Steven J Granger, Luis Colon-Perez, Myra Saraí Larson, Michael Phelan, David B Keator, John T Janecek, Mithra T Sathishkumar, Anna P Smith, Liv McMillan, Dana Greenia and 3 more

Open access · greenAbstract read
In one paragraph

Article in Hippocampus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

13 authors at 1 institution in 1 country.

Steven J GrangerCenter for the Neurobiology of Learning and Memory, University of California, Irvine, California, USA.
Luis Colon-PerezCenter for the Neurobiology of Learning and Memory, University of California, Irvine, California, USA.ORCID 0000-0001-8918-2418
Myra Saraí LarsonCenter for the Neurobiology of Learning and Memory, University of California, Irvine, California, USA.ORCID 0000-0001-5487-4828
Michael PhelanUC Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, California, USA.
David B KeatorDepartment of Psychiatry and Human Behavior, University of California, Irvine, California, USA.
John T JanecekCenter for the Neurobiology of Learning and Memory, University of California, Irvine, California, USA.
Mithra T SathishkumarCenter for the Neurobiology of Learning and Memory, University of California, Irvine, California, USA.
Anna P SmithCenter for the Neurobiology of Learning and Memory, University of California, Irvine, California, USA.
Liv McMillanCenter for the Neurobiology of Learning and Memory, University of California, Irvine, California, USA.
Dana GreeniaDepartment of Neurology, University of California, Irvine, California, USA.
Maria M CorradaDepartment of Neurology, University of California, Irvine, California, USA.
Claudia H KawasCenter for the Neurobiology of Learning and Memory, University of California, Irvine, California, USA.
Michael A YassaCenter for the Neurobiology of Learning and Memory, University of California, Irvine, California, USA.ORCID 0000-0002-8635-1498
University of California, Irvine · US

Funding

Diversity Supplement to R01AG021055; Clinical, Imaging, and Pathological Studies in the Oldest Old: The 90+ StudyR01AG021055 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI CORRADA, MARIA, KAWAS, CLAUDIA H. · 2002 to 2024
$36.9M
Neuroimaging biomarkers for cognitive decline in elderly with amyloid pathologyR01AG053555 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI Michael A Yassa · 2017 to 2026
$17.0M
Training Program in Learning and MemoryT32MH119049 · NIMH · UNIVERSITY OF CALIFORNIA-IRVINE · PI BRUCE L MCNAUGHTON, Manuella Yassa · 2019 to 2026
$1.4M
High-resolution multimodal imaging of episodic memory networks in aging.R00AG047334 · NIA · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI BENNETT, ILANA JACQUELINE · 2016 to 2018
$737k
NIA NIH HHS R00 AG047334NIA NIH HHS R01 AG021055NIA NIH HHS R01 AG053555NIMH NIH HHS T32 MH119049
6 · The paper itself

Abstract

Medial temporal lobe (MTL) atrophy is a core feature of age-related cognitive decline and Alzheimer's disease (AD). While regional volumes and thickness are often used as a proxy for neurodegeneration, they lack the sensitivity to serve as an accurate diagnostic test and indicate advanced neurodegeneration. Here, we used a submillimeter resolution diffusion weighted MRI sequence (ZOOMit) to quantify microstructural properties of hippocampal subfields in older adults (63-98 years old) using tensor derived measures: fractional anisotropy (FA) and mean diffusivity (MD). We demonstrate that the high-resolution sequence, and not a standard resolution sequence, identifies dissociable profiles for CA1, dentate gyrus (DG), and the collateral sulcus. Using ZOOMit, we show that advanced age is associated with increased MD of the CA1 and DG as well as decreased FA of the DG. Increased MD of the DG, reflecting decreased cellular density, mediated the relationship between age and word list recall. Further, increased MD in the DG, but not DG volume, was linked to worse spatial pattern separation. Our results demonstrate that ultrahigh-resolution diffusion imaging enables the detection of microstructural differences in hippocampal subfield integrity and will lead to novel insights into the mechanisms of age-related memory loss.

Indexed as

HippocampusMagnetic Resonance ImagingAgedAged, 80 and overAtrophyDentate GyrusHumansMiddle AgedTemporal Lobeagingdentate gyrushippocampusmagnetic resonance imagingmemory

Identifiers

PMID35838075
PMCPMC10510739
OpenAlexW4285591627

What Socratic holds

Textmetadata
LicenceTDM
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.