Evidence map›Paper›PMID 37244322›Full record

ArticleNeuroImage2023

High-resolution multi-shot diffusion imaging of structural networks in healthy neurocognitive aging.

Jenna L Merenstein, Jiayi Zhao, Hollie A Mullin, Marc D Rudolph, Allen W Song, David J Madden

Abstract read
In one paragraph

Article in NeuroImage, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Engineering clinical translation of OGSE diffusion MRI.Magnetic resonance in medicine · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. 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

6 authors.

Jenna L MerensteinBrain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, 27710, USA. Electronic address: jenna.merenstein@duke.edu.
Jiayi ZhaoBrain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, 27710, USA.
Hollie A MullinBrain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, 27710, USA.
Marc D RudolphDepartment of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27514, USA.
Allen W SongBrain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, 27710, USA.
David J MaddenBrain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, 27710, USA; Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, 27710, USA; Center for Cognitive Neuroscience, Duke University, Durham, NC, 27708, USA.

Funding

Neuroimaging of Visual Attention in AgingR01AG039684 · NIA · DUKE UNIVERSITY · PI MADDEN, DAVID J. · 2011 to 2022
$5.0M
NIA NIH HHS R01 AG039684
6 · The paper itself

Abstract

Healthy neurocognitive aging has been associated with the microstructural degradation of white matter pathways that connect distributed gray matter regions, assessed by diffusion-weighted imaging (DWI). However, the relatively low spatial resolution of standard DWI has limited the examination of age-related differences in the properties of smaller, tightly curved white matter fibers, as well as the relatively more complex microstructure of gray matter. Here, we capitalize on high-resolution multi-shot DWI, which allows spatial resolutions < 1 mm

Indexed as

Healthy AgingWhite MatterAdultBrainCognitionDiffusion Magnetic Resonance ImagingGray MatterHumansMagnetic Resonance ImagingFluid cognitionGraph theoryGray matter microstructureHealthy agingWhite matter connectivity

Identifiers

PMID37244322
PMCPMC10482115

What OpenQuestion 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 OpenQuestion graph.