Evidence map›Paper›PMID 27942478›Full record

ArticleQuantitative imaging in medicine and surgery2016

Arterial spin labeling perfusion magnetic resonance imaging of non-human primates.

Xiaodong Zhang, Chun-Xia Li

Open access · hybridAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 33% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Magnetic resonance imaging of the monkey fetal brain in utero.Investigative magnetic resonance imaging · 2022
    Article
  4. Review
  5. Article
  6. 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

2 authors at 1 institution in 1 country.

Xiaodong ZhangYerkes Imaging Center, Yerkes National Primate Research Center, Emory University, Atlanta, GA 30329, USA;; Division of Neuropharmacology and Neurologic Diseases, Yerkes National Primate Research Center, Emory University, Atlanta, GA, 30329, USA.
Chun-Xia LiYerkes Imaging Center, Yerkes National Primate Research Center, Emory University, Atlanta, GA 30329, USA.
Imaging Center · US

Funding

Yerkes National Primate Research Center Role of type-I IFN in regulating COVID-19 induced inflammation and pathogenesisP51OD011132 · OD · EMORY UNIVERSITY · PI Joon Sup Lee · 2012 to 2026
$167.0M
YNPRC NHP CLINICAL MEDICINE RESIDENCY PROGRAM - SUPPLEMENTP51RR000165 · NCRR · EMORY UNIVERSITY · PI ALTMAN, JOHN DAVID · 1985 to 2011
$114.0M
NCRR NIH HHS P51 RR000165NIH HHS P51 OD011132
6 · The paper itself

Abstract

Non-human primates (NHPs) resemble most aspects of humans in brain physiology and anatomy and are excellent animal models for translational research in neuroscience, biomedical research and pharmaceutical development. Cerebral blood flow (CBF) offers essential physiological information of the brain to examine the abnormal functionality in NHP models with cerebral vascular diseases and neurological disorders or dementia. Arterial spin labeling (ASL) perfusion MRI techniques allow for high temporal and spatial CBF measurement and are intensively used in studies of animals and humans. In this article, current high-resolution ASL perfusion MRI techniques for quantitative evaluation of brain physiology and function in NHPs are described and their applications and limitation are discussed as well.

Indexed as

cerebral blood flow (CBF)clinical scannerContinuous arterial spin labeling (CASL)macaque monkeypseudo-continuous arterial spin labeling (pCASL)

Identifiers

PMID27942478
PMCPMC5130565
OpenAlexW2541823339

What OpenQuestion holds

Textmetadata
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.