Evidence map›Paper›PMID 32714267›Full record

ArticleFrontiers in neurology2020

On the Origins of Diffusion MRI Signal Changes in Stroke.

Stephen J Blackband, Jeremy J Flint, Brian Hansen, Timothy M Shepherd, Choong H Lee, Wolfgang J Streit, John R Forder

Abstract read
In one paragraph

Article in Frontiers in neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Guideline
  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

7 authors.

Stephen J BlackbandDepartment of Neuroscience, University of Florida, Gainesville, FL, United States.
Jeremy J FlintDepartment of Neuroscience, University of Florida, Gainesville, FL, United States.
Brian HansenCenter of Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark.
Timothy M ShepherdDepartment of Radiology, New York University School of Medicine, New York, NY, United States.
Choong H LeeDepartment of Radiology, New York University School of Medicine, New York, NY, United States.
Wolfgang J StreitDepartment of Neuroscience, University of Florida, Gainesville, FL, United States.
John R ForderMcKnight Brain Institute, University of Florida, Gainesville, FL, United States.

Funding

Research Education ComponentP30AG066512 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Mary Sherman Mittelman · 2020 to 2026
$28.4M
NIA NIH HHS P30 AG066512
6 · The paper itself

Abstract

Magnetic resonance imaging (MRI) is a leading diagnostic technique especially for neurological studies. However, the physical origin of the hyperintense signal seen in MR images of stroke immediately after ischemic onset in the brain has been a matter of debate since it was first demonstrated in 1990. In this article, we hypothesize and provide evidence that changes in the glial cells, comprising roughly one-half of the brain's cells and therefore a significant share of its volume, accompanying ischemia, are the root cause of the MRI signal change. Indeed, a primary function of the glial cells is osmoregulation in order to maintain homeostasis in the neurons and nerve fibers for accurate and consistent function. This realization also impacts our understanding of signal changes in other tissues following ischemia. We anticipate that this paradigm shift will facilitate new and improved models of MRI signals in tissues, which will, in turn, impact clinical utility.

Indexed as

diffusionglial cellsmagnetic resonance (MR) imagingmagnetic resonance (MR) microscopystroke

Identifiers

PMID32714267
PMCPMC7344185

What OpenQuestion holds

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Registered trials

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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.