Evidence map›Paper›PMID 23905720›Full record

ArticleAlcoholism, clinical and experimental research2013

The effects of alcohol on the nonhuman primate brain: a network science approach to neuroimaging.

Qawi K Telesford, Paul J Laurienti, David P Friedman, Robert A Kraft, James B Daunais

Abstract read
In one paragraph

Article in Alcoholism, clinical and experimental research, 2013. 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
–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

6 citing papers in PubMed.

  1. Article
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  5. Graphs of brain networks.Alcoholism, clinical and experimental research · 2013
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Qawi K TelesfordSchool of Biomedical Engineering and Sciences , Virginia Tech-Wake Forest University, Winston-Salem, North Carolina.
Paul J Laurienti
David P Friedman
Robert A Kraft
James B Daunais

Funding

Vervet Research Colony as a Biomedical ResourceP40OD010965 · OD · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Matthew Jorgensen · 2012 to 2026
$14.6M
Monkey Alcohol Tissue Research Resource (MATRR)R24AA019431 · NIAAA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Mary Lauren Benton, Verginia Carmella Cuzon Carlson · 2010 to 2026
$10.3M
Early Stress & Alcoholism: Neurobiological AnalysisU01AA014106 · NIAAA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI FRIEDMAN, DAVID P · 2003 to 2011
$3.4M
MRS Interrogation of Alcohol's Neurobiochemical EffectsR03AA017710 · NIAAA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI DAUNAIS, JAMES B · 2009 to 2010
$147k
Network Theory Analysis of Ethanol Self Administering Non-Human PrimatesF31AA019893 · NIAAA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI TELESFORD, QAWI KEVIN · 2011 to 2013
$120k
NIAAA NIH HHS AA014106NIAAA NIH HHS AA017710NIAAA NIH HHS AA019431NIAAA NIH HHS AA019893NIAAA NIH HHS F31 AA019893NIAAA NIH HHS R03 AA017710NIAAA NIH HHS R24 AA019431NIAAA NIH HHS U01 AA014106NIH HHS R019963/OD010965
6 · The paper itself

Abstract

backgroundAnimal studies have long been an important tool for basic research as they offer a degree of control often lacking in clinical studies. Of particular value is the use of nonhuman primates (NHPs) for neuroimaging studies. Currently, studies have been published using functional magnetic resonance imaging (fMRI) to understand the default-mode network in the NHP brain. Network science provides an alternative approach to neuroimaging allowing for evaluation of whole-brain connectivity. In this study, we used network science to build NHP brain networks from fMRI data to understand the basic functional organization of the NHP brain. We also explored how the brain network is affected following an acute ethanol (EtOH) pharmacological challenge.

methodsBaseline resting-state fMRI was acquired in an adult male rhesus macaque (n = 1) and a cohort of vervet monkeys (n = 10). A follow-up scan was conducted in the rhesus macaque to assess network variability and to assess the effects of an acute EtOH challenge on the brain network.

resultsThe most connected regions in the resting-state networks were similar across species and matched regions identified as the default-mode network in previous NHP fMRI studies. Under an acute EtOH challenge, the functional organization of the brain was significantly impacted.

conclusionsNetwork science offers a great opportunity to understand the brain as a complex system and how pharmacological conditions can affect the system globally. These models are sensitive to changes in the brain and may prove to be a valuable tool in long-term studies on alcohol exposure.

Indexed as

AnimalsBrainCentral Nervous System DepressantsChlorocebus aethiopsEthanolFunctional NeuroimagingMacaca mulattaMagnetic Resonance ImagingMaleNerve NetNeural Networks, ComputerCentral Nervous System DepressantsEthanolBrain NetworksFunctional Magnetic Resonance ImagingGraph TheoryNonhuman Primates

Identifiers

PMID23905720
PMCPMC3812370

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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.