Evidence map›Paper›PMID 29588950›Full record

ArticleEpilepsia open2017

Decreased functional connectivity within a language subnetwork in benign epilepsy with centrotemporal spikes.

Colm J McGinnity, Anna B Smith, Siti N Yaakub, Sofia Weidenbach Gerbase, Anya Gammerman, Adam L Tyson, Tiffany K Bell, Marwa Elmasri, Gareth J Barker, Mark P Richardson and 1 more

Abstract read
In one paragraph

Article in Epilepsia open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Decreased thalamocortical connectivity in resolved Rolandic epilepsy.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2023
    Article
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  5. Article
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  13. Review
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

11 authors.

Colm J McGinnityDepartment of Basic and Clinical Neuroscience Institute of Psychiatry, Psychology & Neuroscience King's College London London United Kingdom.ORCID 0000-0002-2692-918X
Anna B SmithDepartment of Basic and Clinical Neuroscience Institute of Psychiatry, Psychology & Neuroscience King's College London London United Kingdom.
Siti N YaakubDepartment of Basic and Clinical Neuroscience Institute of Psychiatry, Psychology & Neuroscience King's College London London United Kingdom.
Sofia Weidenbach GerbaseDepartment of Basic and Clinical Neuroscience Institute of Psychiatry, Psychology & Neuroscience King's College London London United Kingdom.
Anya GammermanFaculty of Life Sciences & Medicine School of Bioscience Education King's College London London United Kingdom.
Adam L TysonDepartment of Forensic and Neurodevelopmental Sciences Institute of Psychiatry, Psychology & Neuroscience King's College London London United Kingdom.
Tiffany K BellDepartment of Basic and Clinical Neuroscience Institute of Psychiatry, Psychology & Neuroscience King's College London London United Kingdom.
Marwa ElmasriFaculty of Life Sciences & Medicine School of Bioscience Education King's College London London United Kingdom.ORCID 0000-0002-2582-7640
Gareth J BarkerDepartment of NeuroimagingInstitute of Psychiatry, Psychology & Neuroscience King's College London London United Kingdom.
Mark P RichardsonDepartment of Basic and Clinical Neuroscience Institute of Psychiatry, Psychology & Neuroscience King's College London London United Kingdom.
Deb K PalDepartment of Basic and Clinical Neuroscience Institute of Psychiatry, Psychology & Neuroscience King's College London London United Kingdom.

Funding

Genetics of Rolandic EpilepsyR01NS047530 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GREENBERG, DAVID A. · 2005 to 2008
$2.1M
Medical Research Council MR/K013998/1Medical Research Council MR/N013042/1NINDS NIH HHS R01 NS047530
6 · The paper itself

Abstract

Objective: Benign epilepsy with centrotemporal spikes (BECTS, also known as Rolandic epilepsy) is a common epilepsy syndrome that is associated with literacy and language impairments. The neural mechanisms of the syndrome are not known. The primary objective of this study was to test the hypothesis that functional connectivity within the language network is decreased in children with BECTS. We also tested the hypothesis that siblings of children with BECTS have similar abnormalities. Methods: Echo planar magnetic resonance (MR) imaging data were acquired from 25 children with BECTS, 12 siblings, and 20 healthy controls, at rest. After preprocessing with particular attention to intrascan motion, the mean signal was extracted from each of 90 regions of interest. Sparse, undirected graphs were constructed from adjacency matrices consisting of Spearman's rank correlation coefficients. Global and nodal graph metrics and subnetwork and pairwise connectivity were compared between groups. Results: There were no significant differences in graph metrics between groups. Children with BECTS had decreased functional connectivity relative to controls within a four-node subnetwork, which consisted of the left inferior frontal gyrus, the left superior frontal gyrus, the left supramarginal gyrus, and the right inferior parietal lobe (p = 0.04). A similar but nonsignificant decrease was also observed for the siblings. The BECTS groups had significant increases in connectivity within a five-node, five-edge frontal subnetwork. Significance: The results provide further evidence of decreased functional connectivity between key mediators of speech processing, language, and reading in children with BECTS. We hypothesize that these decreases reflect delayed lateralization of the language network and contribute to specific cognitive impairments.

Indexed as

BECTSfMRILanguageLiteracyRolandic epilepsy

Identifiers

PMID29588950
PMCPMC5719846

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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.