Evidence map›Paper›PMID 30666190›Full record

ReviewFrontiers in neural circuits2018

Manganese Enhanced MRI for Use in Studying Neurodegenerative Diseases.

Galit Saar, Alan P Koretsky

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in neural circuits, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Frontiers in neuroscience · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. New Strategies in the Design of Paramagnetic CAs.Contrast media & molecular imaging · 2020
    Review
  12. 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

2 authors at 1 institution in 1 country.

Galit SaarLaboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health, Bethesda, MD, United States.
Alan P KoretskyLaboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health, Bethesda, MD, United States.
National Institutes of Health · US

Funding

Functional Imaging of The BrainZIANS002989 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI KORETSKY, ALAN · 2009 to 2025
$41.5M
MRI contrast for molecular and cellular imaging of the brainZIANS003047 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI KORETSKY, ALAN · 2009 to 2025
$29.3M
6 · The paper itself

Abstract

MRI has been extensively used in neurodegenerative disorders, such as Alzheimer's disease (AD), frontal-temporal dementia (FTD), mild cognitive impairment (MCI), Parkinson's disease (PD), Huntington's disease (HD) and amyotrophic lateral sclerosis (ALS). MRI is important for monitoring the neurodegenerative components in other diseases such as epilepsy, stroke and multiple sclerosis (MS). Manganese enhanced MRI (MEMRI) has been used in many preclinical studies to image anatomy and cytoarchitecture, to obtain functional information in areas of the brain and to study neuronal connections. This is due to Mn

Indexed as

Contrast MediaMagnetic Resonance ImagingManganese CompoundsAnimalsBrainHumansNeurodegenerative DiseasesContrast MediaManganese Compoundsmanganesemanganese-52MEMRImolecular imagingneurodegenerationneuronal connectivitytract tracing

Identifiers

PMID30666190
PMCPMC6330305
OpenAlexW2909941834

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.