Evidence map›Paper›PMID 30215035›Full record

ArticleNetwork neuroscience (Cambridge, Mass.)2018

Functional and structural connectome properties in the 5XFAD transgenic mouse model of Alzheimer's disease.

Shelli R Kesler, Paul Acton, Vikram Rao, William J Ray

Abstract read
In one paragraph

Article in Network neuroscience (Cambridge, Mass.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. Connectomic analysis of Alzheimer's disease using percolation theory.Network neuroscience (Cambridge, Mass.) · 2022
    Article
  14. Review
  15. Hippocampal functional connectivity across age in anFrontiers in aging neuroscience · 2022
    Article
  16. Article
  17. Article
  18. Review
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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

4 authors.

Shelli R KeslerDepartment of Neuro-oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0002-4745-8014
Paul ActonNeurodegeneration Consortium, Institute for Applied Cancer Science, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Vikram RaoDepartment of Neuro-oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
William J RayNeurodegeneration Consortium, Institute for Applied Cancer Science, University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Funding

Very-long Term Neurocognitive Outcomes in Breast Cancer Survivors (ProbC2)R01CA172145 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI KESLER, SHELLI R, PALESH, OXANA G · 2012 to 2024
$3.3M
Multimodal MRI Biomarker of Mild Cognitive Impairment in Breast CancerR01NR014195 · NINR · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI KESLER, SHELLI R, WEFEL, JEFFREY SCOTT · 2012 to 2017
$2.5M
Machine Learning Comparison of Brain Anatomy in Cancer and Alzheimer's DiseaseR03CA191559 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI KESLER, SHELLI R · 2015 to 2016
$160k
NCI NIH HHS R01 CA172145NCI NIH HHS R03 CA191559NINR NIH HHS R01 NR014195
6 · The paper itself

Abstract

Neurodegeneration in Alzheimer's disease (AD) is associated with amyloid-beta peptide accumulation into insoluble amyloid plaques. The five-familial AD (5XFAD) transgenic mouse model exhibits accelerated amyloid-beta deposition, neuronal dysfunction, and cognitive impairment. We aimed to determine whether connectome properties of these mice parallel those observed in patients with AD. We obtained diffusion tensor imaging and resting-state functional magnetic resonance imaging data for four transgenic and four nontransgenic male mice. We constructed both structural and functional connectomes and measured their topological properties by applying graph theoretical analysis. We compared connectome properties between groups using both binarized and weighted networks. Transgenic mice showed higher characteristic path length in weighted structural connectomes and functional connectomes at minimum density. Normalized clustering and modularity were lower in transgenic mice across the upper densities of the structural connectome. Transgenic mice also showed lower small-worldness index in higher structural connectome densities and in weighted structural networks. Hyper-correlation of structural and functional connectivity was observed in transgenic mice compared with nontransgenic controls. These preliminary findings suggest that 5XFAD mouse connectomes may provide useful models for investigating the molecular mechanisms of AD pathogenesis and testing the effectiveness of potential treatments.

Indexed as

Alzheimer’s diseaseConnectomeDiffusion tensor imagingfMRINeuroimaging

Identifiers

PMID30215035
PMCPMC6130552

What OpenQuestion holds

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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.