Evidence map›Paper›PMID 31632235›Full record

ArticleFrontiers in neuroscience2019

Structural Connectivity Alterations in Amyotrophic Lateral Sclerosis: A Graph Theory Based Imaging Study.

Etienne Fortanier, Aude-Marie Grapperon, Arnaud Le Troter, Annie Verschueren, Ben Ridley, Maxime Guye, Shahram Attarian, Jean-Philippe Ranjeva, Wafaa Zaaraoui

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

15 citing papers in PubMed, 31 citations in OpenAlex.

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  8. Modeling Neurodegenerative Diseases UsingFrontiers in bioengineering and biotechnology · 2022
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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

9 authors at 4 institutions in 1 country.

Etienne FortanierAix Marseille Univ, CNRS, CRMBM, Marseille, France.
Aude-Marie GrapperonAix Marseille Univ, CNRS, CRMBM, Marseille, France.
Arnaud Le TroterAix Marseille Univ, CNRS, CRMBM, Marseille, France.
Annie VerschuerenAix Marseille Univ, CNRS, CRMBM, Marseille, France.
Ben RidleyAix Marseille Univ, CNRS, CRMBM, Marseille, France.
Maxime GuyeAix Marseille Univ, CNRS, CRMBM, Marseille, France.
Shahram AttarianAPHM, Hôpital de la Timone, Referral Centre for Neuromuscular Diseases and ALS, Marseille, France.
Jean-Philippe RanjevaAix Marseille Univ, CNRS, CRMBM, Marseille, France.
Wafaa ZaaraouiAix Marseille Univ, CNRS, CRMBM, Marseille, France.
Centre National de la Recherche Scientifique · FRHôpital de la Timone · FRCentre de Résonance Magnétique Biologique et Médicale · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmyotrophic lateral sclerosis (ALS) is a relentlessly progressive neurodegenerative disorder. Diffusion magnetic resonance imagining (MRI) studies have consistently showed widespread alterations in both motor and non-motor brain regions. However, connectomics and graph theory based approaches have shown inconsistent results. Hub-centered lesion patterns and their impact on local and large-scale brain networks remain to be established. The objective of this work is to characterize topological properties of structural brain connectivity in ALS using an array of local, global and hub-based network metrics. MATERIALS AND

methodsMagnetic resonance imagining data were acquired from 25 patients with ALS and 26 age-matched healthy controls. Structural network graphs were constructed from diffusion tensor MRI. Network-based statistics (NBS) and graph theory metrics were used to compare structural networks without

resultsPatients with ALS exhibited global network alterations with decreased global efficiency (Eglob) (

conclusionOur study provides evidence that alterations of structural connectivity in ALS are primarily driven by node degree and white matter tract degeneration within an extended network around the precentral and the paracentral areas without hub-centered reorganization.

Indexed as

ALSconnectivityDTIgraph theoryhubMRI

Identifiers

PMID31632235
PMCPMC6783612
OpenAlexW2978334756

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.