Evidence map›Paper›PMID 35860177›Full record

SynthesisDialogues in clinical neuroscience2021

Graph theory in paediatric epilepsy: A systematic review.

Raffaele Falsaperla, Giovanna Vitaliti, Simona Domenica Marino, Andrea Domenico Praticò, Janette Mailo, Michela Spatuzza, Maria Roberta Cilio, Rosario Foti, Martino Ruggieri

Open access · diamondAbstract readSystematic Review
In one paragraph

Synthesis in Dialogues in clinical neuroscience, 2021. 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
2.8field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 35 citations in OpenAlex.

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  16. Translational chasm and dialogues in clinical neuroscience.Dialogues in clinical neuroscience · 2021
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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 7 institutions in 3 countries.

Raffaele FalsaperlaNeonatal Intensive Care Unit, San Marco Hospital, University Hospital Policlinico "G. Rodolico-San Marco", Catania, Italy.
Giovanna VitalitiDepartment of Medical Sciences, Unit of Pediatrics, University of Ferrara, Ferrara, Italy.
Simona Domenica MarinoUnit of Pediatrics and Pediatric Emergency, University Hospital Policlinico "G. Rodolico-San Marco", Catania, Italy.
Andrea Domenico PraticòUnit of Rare Diseases of the Nervous System in Childhood, Department of Clinical and Experimental Medicine, Section of Pediatrics and Child Neuropsychiatry, University of Catania, Catania, Italy.
Janette MailoDivision of Pediatric Neurology, University of Alberta, Stollery Children's Hospital, Edmonton, Alberta, Canada.
Michela SpatuzzaNational Council of Research, Institute for Biomedical Research and Innovation (IRIB), Unit of Catania, Catania, Italy.
Maria Roberta CilioInstitute for Experimental and Clinical Research, Catholic University of Leuven, Brussels, Belgium.
Rosario FotiDepartment Chief of Rheumatology Unit, San Marco Hospital, University Hospital Policlinico "G. Rodolico-San Marco", Catania, Italy.
Martino RuggieriUnit of Rare Diseases of the Nervous System in Childhood, Department of Clinical and Experimental Medicine, Section of Pediatrics and Child Neuropsychiatry, University of Catania, Catania, Italy.
Policlinico Universitario di Catania · ITUniversity of Catania · ITInstitute for Biomedical Research and Innovation · ITKU Leuven · BEMarconi University · ITStollery Children's Hospital · CAUniversity of Ferrara · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Graph theoretical studies have been designed to investigate network topologies during life. Network science and graph theory methods may contribute to a better understanding of brain function, both normal and abnormal, throughout developmental stages. The degree to which childhood epilepsies exert a significant effect on brain network organisation and cognition remains unclear. The hypothesis suggests that the formation of abnormal networks associated with epileptogenesis early in life causes a disruption in normal brain network development and cognition, reflecting abnormalities in later life. Neurological diseases with onset during critical stages of brain maturation, including childhood epilepsy, may threaten this orderly neurodevelopmental process. According to the hypothesis that the formation of abnormal networks associated with epileptogenesis in early life causes a disruption in normal brain network development, it is then mandatory to perform a proper examination of children with new-onset epilepsy early in the disease course and a deep study of their brain network organisation over time. In regards, graph theoretical analysis could add more information. In order to facilitate further development of graph theory in childhood, we performed a systematic review to describe its application in functional dynamic connectivity using electroencephalographic (EEG) analysis, focussing on paediatric epilepsy.

Indexed as

BrainBrain MappingElectroencephalographyEpilepsyNerve NetChildCognitionHumansMagnetic Resonance ImagingNeurodevelopmental Disordersbrain networkchildhoodGraph theorypaediatric epilepsy

Identifiers

PMID35860177
PMCPMC9286734
OpenAlexW4285512349

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.