Evidence map›Paper›PMID 30615935›Full record

SynthesisNeuroscience and biobehavioral reviews2019

The structural connectome in traumatic brain injury: A meta-analysis of graph metrics.

Phoebe Imms, Adam Clemente, Mark Cook, Wendyl D'Souza, Peter H Wilson, Derek K Jones, Karen Caeyenberghs

Open access · greenAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Neuroscience and biobehavioral reviews, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 4 pooled it
7.2field-weighted citation impact, top 2% 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

46 citing papers in PubMed, 4 syntheses or guidelines pooled it, 78 citations in OpenAlex.

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  17. Learning site-invariant features of connectomes to harmonize complex network measures.Proceedings of SPIE--the International Society for Optical Engineering · 2024
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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

7 authors at 3 institutions in 2 countries.

Phoebe ImmsMary MacKillop Institute for Heatlh Research, Faculty of Health Sciences, Australian Catholic University. 115 Victoria Parade, Melbourne, VIC, 3065, Australia. Electronic address: Phoebe.Imms@myacu.edu.au.
Adam ClementeMary MacKillop Institute for Heatlh Research, Faculty of Health Sciences, Australian Catholic University. 115 Victoria Parade, Melbourne, VIC, 3065, Australia. Electronic address: Adam.Clemente@myacu.edu.au.
Mark CookDepartment of Medicine, St. Vincent's Hospital, University of Melbourne. 41 Victoria Parade, Melbourne, VIC, 3065, Australia. Electronic address: markcook@unimelb.edu.au.
Wendyl D'SouzaDepartment of Medicine, St. Vincent's Hospital, University of Melbourne. 41 Victoria Parade, Melbourne, VIC, 3065, Australia. Electronic address: wendyl1@icloud.com.
Peter H WilsonMary MacKillop Institute for Heatlh Research, Faculty of Health Sciences, Australian Catholic University. 115 Victoria Parade, Melbourne, VIC, 3065, Australia. Electronic address: Peter.Wilson@acu.edu.au.
Derek K JonesMary MacKillop Institute for Heatlh Research, Faculty of Health Sciences, Australian Catholic University. 115 Victoria Parade, Melbourne, VIC, 3065, Australia; Cardiff University Brain Research Imaging Centre, School of Psychology, and Neuroscience and Mental Health Research Institute, Cardiff University, Maindy Rd, Cardiff, CF24 4HQ, United Kingdom. Electronic address: JonesD27@cardiff.ac.uk.
Karen CaeyenberghsMary MacKillop Institute for Heatlh Research, Faculty of Health Sciences, Australian Catholic University. 115 Victoria Parade, Melbourne, VIC, 3065, Australia. Electronic address: Karen.Caeyenberghs@acu.edu.au.
Australian Catholic University · AUThe University of Melbourne · AUCardiff University · GB

Funding

Wellcome Trust 096646Wellcome Trust 096646/Z/11/ZWellcome Trust 104943Wellcome Trust 104943/Z/14/Z
6 · The paper itself

Abstract

Although recent structural connectivity studies of traumatic brain injury (TBI) have used graph theory to evaluate alterations in global integration and functional segregation, pooled analysis is needed to examine the robust patterns of change in graph metrics across studies. Following a systematic search, 15 studies met the inclusion criteria for review. Of these, ten studies were included in a random-effects meta-analysis of global graph metrics, and subgroup analyses examined the confounding effects of severity and time since injury. The meta-analysis revealed significantly higher values of normalised clustering coefficient (gö=ö1.445, CI=[0.512, 2.378], pö=ö0.002) and longer characteristic path length (gö=ö0.514, CI=[0.190, 0.838], pö=ö0.002) in TBI patients compared with healthy controls. Our findings suggest that the TBI structural network has shifted away from the balanced small-world network towards a regular lattice. Therefore, these graph metrics may be useful markers of neurocognitive dysfunction in TBI. We conclude that the pattern of change revealed by our analysis should be used to guide hypothesis-driven research into the role of graph metrics as diagnostic and prognostic biomarkers.

Indexed as

ConnectomeAdolescentAdultAgedBiomarkersBrainBrain Injuries, TraumaticChildCognitive DysfunctionFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedNeural PathwaysYoung AdultBiomarkersBiomarkersDiffusion MRIGraph metricsGraph theoryMeta-analysisNarrative reviewNetwork analysisStructural connectomicsSystematic searchTraumatic brain injury

Identifiers

PMID30615935
PMCPMC7615245
OpenAlexW2908505286

What OpenQuestion holds

Textmetadata
LicenceTDM
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.