Evidence map›Paper›PMID 40017343›Full record

ArticleNMR in biomedicine2025

Quasi-Diffusion Imaging: Application to Ultra-High b-Value and Time-Dependent Diffusion Images of Brain Tissue.

Thomas R Barrick, Carson Ingo, Matt G Hall, Franklyn A Howe

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NMR in biomedicine, 2025. 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. Article
  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

4 authors.

Thomas R BarrickNeurological Disorders and Imaging Section, Neuroscience and Cell Biology Research Institute, School of Health and Medical Sciences, City St George's, University of London, London, UK.
Carson IngoDepartment of Neurology, Northwestern University, Chicago, Illinois, USA.
Matt G HallMedical, Marine, and Nuclear Department, National Physical Laboratory, Teddington, UK.ORCID https://orcid.org/0000-0002-9530-5477
Franklyn A HoweNeurological Disorders and Imaging Section, Neuroscience and Cell Biology Research Institute, School of Health and Medical Sciences, City St George's, University of London, London, UK.ORCID https://orcid.org/0000-0002-7135-3351

Funding

Post-stroke normal appearing white matter diffusion properties and cognitive trajectories across ageR01NS126509 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Carson J Ingo · 2023 to 2026
$2.9M
The Loss of Independent Joint Control of the Upper Limb in Spastic Hemiparetic CPR01NS058667 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI DEWALD, JULIUS P · 2008 to 2022
$2.8M
Advanced 3T for Structural and Functional Imaging at University of FloridaS10OD021726 · OD · UNIVERSITY OF FLORIDA · PI LONG, JOANNA R · 2017 to 2017
$2.0M
The Effects of Injury Timing on Neural Microstructural Complexity and Motor Impairments in Cerebral PalsyR03HD094615 · NICHD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI INGO, CARSON J · 2019 to 2020
$316k
NICHD NIH HHS R03 HD094615NIH HHS S10 OD021726NINDS NIH HHS 2-R01-NS058667-05NINDS NIH HHS R01 NS058667NINDS NIH HHS R01 NS126509NINDS NIH HHS R01-NS126509-01A1UK government Department of Science, Innovation and Technology
6 · The paper itself

Abstract

We demonstrate that quasi-diffusion imaging (QDI) is a signal representation that extends towards the negative power law regime. We evaluate QDI for in vivo human and ex vivo fixed rat brain tissue across

Indexed as

BrainDiffusion Magnetic Resonance ImagingAnimalsHumansMaleRatsRats, Sprague-DawleyTime Factorsbraindiffusion magnetic resonance imagingdiffusion signal representationnon‐Gaussian diffusion imagingquasi‐diffusion imaging

Identifiers

PMID40017343
PMCPMC11868825

What OpenQuestion holds

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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.