Evidence map›Paper›PMID 25302690›Full record

ArticlePloS one2014

Revealing a brain network endophenotype in families with idiopathic generalised epilepsy.

Fahmida A Chowdhury, Wessel Woldman, Thomas H B FitzGerald, Robert D C Elwes, Lina Nashef, John R Terry, Mark P Richardson

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

58 citing papers in PubMed, 107 citations in OpenAlex.

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  9. Influencing Human Behavior with Noninvasive Brain Stimulation: Direct Human Brain Manipulation Revisited.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2023
    Review
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  20. A computational biomarker of juvenile myoclonic epilepsy from resting-state MEG.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2021
    Article
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 1 country.

Fahmida A ChowdhuryInstitute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom; Centre for Epilepsy, King's College Hospital, London, United Kingdom.
Wessel WoldmanCollege of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, United Kingdom.
Thomas H B FitzGeraldInstitute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom; Wellcome Trust Centre for Neuroimaging, UCL, London, United Kingdom.
Robert D C ElwesCentre for Epilepsy, King's College Hospital, London, United Kingdom.
Lina NashefCentre for Epilepsy, King's College Hospital, London, United Kingdom.
John R TerryCollege of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, United Kingdom.
Mark P RichardsonInstitute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom; Centre for Epilepsy, King's College Hospital, London, United Kingdom.
King's College Hospital · GBKing's College London · GBUniversity of Exeter · GB

Funding

Medical Research Council G0701310Medical Research Council MR/K013998/1
6 · The paper itself

Abstract

Idiopathic generalised epilepsy (IGE) has a genetic basis. The mechanism of seizure expression is not fully known, but is assumed to involve large-scale brain networks. We hypothesised that abnormal brain network properties would be detected using EEG in patients with IGE, and would be manifest as a familial endophenotype in their unaffected first-degree relatives. We studied 117 participants: 35 patients with IGE, 42 unaffected first-degree relatives, and 40 normal controls, using scalp EEG. Graph theory was used to describe brain network topology in five frequency bands for each subject. Frequency bands were chosen based on a published Spectral Factor Analysis study which demonstrated these bands to be optimally robust and independent. Groups were compared, using Bonferroni correction to account for nonindependent measures and multiple groups. Degree distribution variance was greater in patients and relatives than controls in the 6-9 Hz band (p = 0.0005, p = 0.0009 respectively). Mean degree was greater in patients than healthy controls in the 6-9 Hz band (p = 0.0064). Clustering coefficient was higher in patients and relatives than controls in the 6-9 Hz band (p = 0.0025, p = 0.0013). Characteristic path length did not differ between groups. No differences were found between patients and unaffected relatives. These findings suggest brain network topology differs between patients with IGE and normal controls, and that some of these network measures show similar deviations in patients and in unaffected relatives who do not have epilepsy. This suggests brain network topology may be an inherited endophenotype of IGE, present in unaffected relatives who do not have epilepsy, as well as in affected patients. We propose that abnormal brain network topology may be an endophenotype of IGE, though not in itself sufficient to cause epilepsy.

Indexed as

ElectroencephalographyEndophenotypesAdolescentAdultAge of OnsetBrainEpilepsy, GeneralizedFemaleHumansMaleMiddle AgedYoung Adult

Identifiers

PMID25302690
PMCPMC4193864
OpenAlexW2044165415

What OpenQuestion holds

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LicenceCC BY
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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.