Evidence map›Paper›PMID 24453089›Full record

ArticleHuman brain mapping2014

Neurodevelopmental alterations of large-scale structural networks in children with new-onset epilepsy.

Leonardo Bonilha, Ali Tabesh, Kevin Dabbs, David A Hsu, Carl E Stafstrom, Bruce P Hermann, Jack J Lin

Open access · greenAbstract read
In one paragraph

Article in Human brain mapping, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.0field-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

21 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
  2. Brain connectome from neuronal morphology.Network neuroscience (Cambridge, Mass.) · 2025
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  19. Mapping the landscape of cognitive development in children with epilepsy.Cortex; a journal devoted to the study of the nervous system and behavior · 2015
    Article
  20. 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

7 authors at 2 institutions in 1 country.

Leonardo BonilhaDepartment of Neurosciences, Division of Neurology, Medical University of South Carolina, Charleston, South Carolina.
Ali Tabesh
Kevin Dabbs
David A Hsu
Carl E Stafstrom
Bruce P Hermann
Jack J Lin
Medical University of South Carolina · USUniversity of California, Irvine · US

Funding

Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
SOUTH CAROLINA CLINICAL & TRANSLATIONAL RESEARCH INSTITUTE (SCTR)UL1RR029882 · NCRR · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T. · 2009 to 2011
$10.1M
South Carolina Clinical & Translational Research Institute (SCTR)UL1TR000062 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T. · 2012 to 2014
$9.4M
Neuropsychological Progression of New Onset EpilepsyR01NS044351 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI HERMANN, BRUCE PHILLIP · 2003 to 2015
$6.3M
Early-onset epilepsy and genetics influence white matter tracts and cognitionK23NS060993 · NINDS · UNIVERSITY OF CALIFORNIA-IRVINE · PI LIN, JACK J · 2009 to 2013
$818k
NCATS NIH HHS UL1 TR000062NCATS NIH HHS UL1 TR000427NCATS NIH HHS UL1TR000427NCRR NIH HHS UL1 RR029882NINDS NIH HHS K23 NS060993NINDS NIH HHS R01 NS044351PHS HHS 3R01-44351
6 · The paper itself

Abstract

Recent neuroimaging and behavioral studies have revealed that children with new onset epilepsy already exhibit brain structural abnormalities and cognitive impairment. How the organization of large-scale brain structural networks is altered near the time of seizure onset and whether network changes are related to cognitive performances remain unclear. Recent studies also suggest that regional brain volume covariance reflects synchronized brain developmental changes. Here, we test the hypothesis that epilepsy during early-life is associated with abnormalities in brain network organization and cognition. We used graph theory to study structural brain networks based on regional volume covariance in 39 children with new-onset seizures and 28 healthy controls. Children with new-onset epilepsy showed a suboptimal topological structural organization with enhanced network segregation and reduced global integration compared with controls. At the regional level, structural reorganization was evident with redistributed nodes from the posterior to more anterior head regions. The epileptic brain network was more vulnerable to targeted but not random attacks. Finally, a subgroup of children with epilepsy, namely those with lower IQ and poorer executive function, had a reduced balance between network segregation and integration. Taken together, the findings suggest that the neurodevelopmental impact of new onset childhood epilepsies alters large-scale brain networks, resulting in greater vulnerability to network failure and cognitive impairment.

Indexed as

AdolescentBrainChildEpilepsies, PartialEpilepsy, GeneralizedExecutive FunctionFamilyFemaleHumansIntelligenceIntelligence TestsMagnetic Resonance ImagingMaleNeural PathwaysNeuropsychological TestsOrgan Sizecognitionepilepsygraph theoryneurodevelopmentstructural network

Identifiers

PMID24453089
PMCPMC4107168
OpenAlexW1735215514

What OpenQuestion holds

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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.