Evidence map›Paper›PMID 24976288›Full record

ArticleHuman brain mapping2014

Impaired development of intrinsic connectivity networks in children with medically intractable localization-related epilepsy.

George M Ibrahim, Benjamin R Morgan, Wayne Lee, Mary Lou Smith, Elizabeth J Donner, Frank Wang, Craig A Beers, Paolo Federico, Margot J Taylor, Sam M Doesburg and 2 more

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 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

33 citing papers in PubMed, 68 citations in OpenAlex.

  1. Article
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  5. Whole-brain white matter variation across childhood environments.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  9. Learning site-invariant features of connectomes to harmonize complex network measures.Proceedings of SPIE--the International Society for Optical Engineering · 2024
    Article
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  12. Resting-State Functional MRI and PET Imaging as Noninvasive Tools to Study (Ab)Normal Neurodevelopment in Humans and Rodents.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Review
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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

12 authors at 4 institutions in 1 country.

George M IbrahimDivision of Neurosurgery, Hospital for Sick Children, Department of Surgery, University of Toronto, Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada.
Benjamin R Morgan
Wayne Lee
Mary Lou Smith
Elizabeth J Donner
Frank Wang
Craig A Beers
Paolo Federico
Margot J Taylor
Sam M Doesburg
James T Rutka
O Carter Snead
Hospital for Sick Children · CAUniversity of Toronto · CASickKids Foundation · CAUniversity of Calgary · CA

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

Typical childhood development is characterized by the emergence of intrinsic connectivity networks (ICNs) by way of internetwork segregation and intranetwork integration. The impact of childhood epilepsy on the maturation of ICNs is, however, poorly understood. The developmental trajectory of ICNs in 26 children (8-17 years) with localization-related epilepsy and 28 propensity-score matched controls was evaluated using graph theoretical analysis of whole brain connectomes from resting-state functional magnetic resonance imaging (fMRI) data. Children with epilepsy demonstrated impaired development of regional hubs in nodes of the salience and default mode networks (DMN). Seed-based connectivity and hierarchical clustering analysis revealed significantly decreased intranetwork connections, and greater internetwork connectivity in children with epilepsy compared to controls. Significant interactions were identified between epilepsy duration and the expected developmental trajectory of ICNs, indicating that prolonged epilepsy may cause progressive alternations in large-scale networks throughout childhood. DMN integration was also associated with better working memory, whereas internetwork segregation was associated with higher full-scale intelligence quotient scores. Furthermore, subgroup analyses revealed the thalamus, hippocampus, and caudate were weaker hubs in children with secondarily generalized seizures, relative to other patient subgroups. Our findings underscore that epilepsy interferes with the developmental trajectory of brain networks underlying cognition, providing evidence supporting the early treatment of affected children.

Indexed as

Brain MappingAdolescentBrainChildCluster AnalysisConnectomeDevelopmental DisabilitiesEpilepsyFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleNerve NetNeural PathwaysNeuropsychological TestsOxygenfunctional connectivitygeneralized tonic clonic (GTC)graph theoretical analysisintrinsic connectivity networkresting-state fMRI

Identifiers

PMID24976288
PMCPMC6869397
OpenAlexW1660433614

What OpenQuestion holds

Textmetadata
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.