Evidence map›Paper›PMID 28261040›Full record

ArticleFrontiers in neuroscience2017

Changes in Cerebral Blood Flow during an Alteration in Glycemic State in a Large Non-human Primate (

Peter Kochunov, Hsiao-Ying Wey, Peter T Fox, Jack L Lancaster, Michael D Davis, Danny J J Wang, Ai-Ling Lin, Raul A Bastarrachea, Marcia C R Andrade, Vicki Mattern and 4 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

14 authors at 5 institutions in 2 countries.

Peter KochunovMaryland Psychiatric Research Center, University of Maryland School of MedicineBaltimore, MA, USA; Research Imaging Institute, University of Texas Health Science Center at San AntonioSan Antonio, TX, USA; Southwest National Primate Research CenterSan Antonio, TX, USA.
Hsiao-Ying WeyResearch Imaging Institute, University of Texas Health Science Center at San AntonioSan Antonio, TX, USA; Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical SchoolCharlestown, MA, USA.
Peter T FoxResearch Imaging Institute, University of Texas Health Science Center at San Antonio San Antonio, TX, USA.
Jack L LancasterResearch Imaging Institute, University of Texas Health Science Center at San Antonio San Antonio, TX, USA.
Michael D DavisResearch Imaging Institute, University of Texas Health Science Center at San Antonio San Antonio, TX, USA.
Danny J J WangAhmanson-Lovelace Brain Mapping Center, University of California at Los AngelesLos Angeles, CA, USA; Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern CaliforniaLos Angeles, CA, USA.
Ai-Ling LinResearch Imaging Institute, University of Texas Health Science Center at San Antonio San Antonio, TX, USA.
Raul A BastarracheaSouthwest National Primate Research CenterSan Antonio, TX, USA; Department of Genetics, Texas Biomedical Research InstituteSan Antonio, TX, USA.
Marcia C R AndradeDepartment of Genetics, Texas Biomedical Research InstituteSan Antonio, TX, USA; Center for Laboratory Animal Breeding, Oswaldo Cruz FoundationRio de Janeiro, Brazil.
Vicki MatternDepartment of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA.
Patrice FrostSouthwest National Primate Research Center San Antonio, TX, USA.
Paul B HigginsDepartment of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA.
Anthony G ComuzzieSouthwest National Primate Research CenterSan Antonio, TX, USA; Department of Genetics, Texas Biomedical Research InstituteSan Antonio, TX, USA.
Venkata S VorugantiDepartment of Nutrition and UNC Nutrition Research Institute, University of North Carolina at Chapel Hill Kannapolis, NC, USA.
Texas Biomedical Research Institute · USThe University of Texas Health Science Center at San Antonio · USHarvard University · USUniversity of California, Los Angeles · USUniversity of North Carolina at Chapel Hill · US

Funding

The Southwest National Primate Research Center Supplement- Infrastructure improvements of ABSL2 holding areasP51OD011133 · OD · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI Larry S. Schlesinger · 2012 to 2026
$129.7M
UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Ian Michael Carroll · 1999 to 2026
$31.6M
NIDDK NIH HHS P30 DK056350NIH HHS P51 OD011133
6 · The paper itself

Abstract

Changes in cerebral blood flow (CBF) during a hyperglycemic challenge were mapped, using perfusion-weighted MRI, in a group of non-human primates. Seven female baboons were fasted for 16 h prior to 1-h imaging experiment, performed under general anesthesia, that consisted of a 20-min baseline, followed by a bolus infusion of glucose (500 mg/kg). CBF maps were collected every 7 s and blood glucose and insulin levels were sampled at regular intervals. Blood glucose levels rose from 51.3 ± 10.9 to 203.9 ± 38.9 mg/dL and declined to 133.4 ± 22.0 mg/dL, at the end of the experiment. Regional CBF changes consisted of four clusters: cerebral cortex, thalamus, hypothalamus, and mesencephalon. Increases in the hypothalamic blood flow occurred concurrently with the regulatory response to systemic glucose change, whereas CBF declined for other clusters. The return to baseline of hypothalamic blood flow was observed while CBF was still increasing in other brain regions. The spatial pattern of extra-hypothalamic CBF changes was correlated with the patterns of several cerebral networks including the default mode network. These findings suggest that hypothalamic blood flow response to systemic glucose levels can potentially be explained by regulatory activity. The response of extra-hypothalamic clusters followed a different time course and its spatial pattern resembled that of the default-mode network.

Indexed as

arterial spin labelingcerebral blood flowdefault state networkhyperglycemic challengeperfusion imagingresting state network

Identifiers

PMID28261040
PMCPMC5306336
OpenAlexW2588423455

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.