Evidence map›Paper›PMID 27886204›Full record

ArticleScientific reports2016

Characterization of Structural Connectivity of the Default Mode Network in Dogs using Diffusion Tensor Imaging.

Jennifer L Robinson, Madhura Baxi, Jeffrey S Katz, Paul Waggoner, Ronald Beyers, Edward Morrison, Nouha Salibi, Thomas S Denney, Vitaly Vodyanoy, Gopikrishna Deshpande

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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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

10 authors.

Jennifer L RobinsonAU MRI Research Center, Dept. of Electrical &Computer Engineering, Auburn University, Auburn, AL, USA.
Madhura BaxiAU MRI Research Center, Dept. of Electrical &Computer Engineering, Auburn University, Auburn, AL, USA.
Jeffrey S KatzAU MRI Research Center, Dept. of Electrical &Computer Engineering, Auburn University, Auburn, AL, USA.
Paul WaggonerCanine Detection Research Institute, Auburn University, Auburn, AL, USA.
Ronald BeyersAU MRI Research Center, Dept. of Electrical &Computer Engineering, Auburn University, Auburn, AL, USA.
Edward MorrisonDept. of Anatomy, Physiology &Pharmacology, Auburn University, Auburn, AL, USA.
Nouha SalibiAU MRI Research Center, Dept. of Electrical &Computer Engineering, Auburn University, Auburn, AL, USA.
Thomas S DenneyAU MRI Research Center, Dept. of Electrical &Computer Engineering, Auburn University, Auburn, AL, USA.
Vitaly VodyanoyDept. of Anatomy, Physiology &Pharmacology, Auburn University, Auburn, AL, USA.
Gopikrishna DeshpandeAU MRI Research Center, Dept. of Electrical &Computer Engineering, Auburn University, Auburn, AL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffusion tensor imaging (DTI) provides us an insight into the micro-architecture of white-matter tracts in the brain. This method has proved promising in understanding and investigating the neuronal tracts and structural connectivity between the brain regions in primates as well as rodents. The close evolutionary relationship between canines and humans may have spawned a unique bond in regard to social cognition rendering them useful as an animal model in translational research. In this study, we acquired diffusion data from anaesthetized dogs and created a DTI-based atlas for a canine model which could be used to investigate various white matter diseases. We illustrate the application of this atlas by calculating DTI tractography based structural connectivity between the anterior cingulate cortex (ACC) and posterior cingulate cortex (PCC) regions of the default mode network (DMN) in dogs. White matter connectivity was investigated to provide structural basis for the functional dissociation observed between the anterior and posterior parts of DMN. A comparison of the integrity of long range structural connections (such as in the DMN) between dogs and humans is likely to provide us with new perspectives on the neural basis of the evolution of cognitive functions.

Indexed as

Diffusion Tensor ImagingAnimalsDogsGyrus CinguliNeural PathwaysWhite Matter

Identifiers

PMID27886204
PMCPMC5122865

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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.