Evidence map›Paper›PMID 31347155›Full record

ArticleEpilepsia2019

Network analysis of prospective brain development in youth with benign epilepsy with centrotemporal spikes and its relationship to cognition.

Camille Garcia-Ramos, Kevin Dabbs, Jack J Lin, Jana E Jones, Carl E Stafstrom, David A Hsu, Mary Elizabeth Meyerand, Vivek Prabhakaran, Bruce P Hermann

Open access · bronzeAbstract read
In one paragraph

Article in Epilepsia, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

12 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Executive functions and self-limited epilepsy with centro-temporal spikes: A scoping review.Epileptic disorders : international epilepsy journal with videotape · 2026
    Article
  3. Article
  4. Article
  5. The relevance of Spearman'sBrain communications · 2024
    Article
  6. Article
  7. Review
  8. Connectivity increases during spikes and spike-free periods in self-limited epilepsy with centrotemporal spikes.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. 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

9 authors at 3 institutions in 1 country.

Camille Garcia-RamosDepartment of Medical Physics, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin.ORCID 0000-0003-4365-9895
Kevin DabbsDepartment of Neurology, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin.
Jack J LinDepartment of Neurology, University of California, Irvine, Irvine, California.
Jana E JonesDepartment of Neurology, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin.
Carl E StafstromDepartment of Neurology, Johns Hopkins Medical School, Baltimore, Maryland.
David A HsuDepartment of Neurology, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin.
Mary Elizabeth MeyerandDepartment of Biomedical Engineering, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin.
Vivek PrabhakaranDepartment of Medical Physics, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin.
Bruce P HermannDepartment of Neurology, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin.
University of Wisconsin–Madison · USJohns Hopkins University · 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
U.W. RADIOLOGICAL SCIENCES TRAINING PROGRAMT32CA009206 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Bryan Patrick Bednarz · 1985 to 2026
$12.1M
Neuropsychological Progression of New Onset EpilepsyR01NS044351 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI HERMANN, BRUCE PHILLIP · 2003 to 2015
$6.3M
Neuropsychological Progression in New Onset EpilepsyR56NS044351 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI HERMANN, BRUCE PHILLIP, JONES, JANA E · 2011 to 2019
$1.0M
NCATS NIH HHS UL1 TR000427NCI NIH HHS T32 CA009206NINDS NIH HHS 3RO1-44351NINDS NIH HHS R01 NS044351NINDS NIH HHS R56 NS044351
6 · The paper itself

Abstract

objectiveBenign epilepsy with centrotemporal spikes (BECTS) is the most common childhood idiopathic localization-related epilepsy syndrome. BECTS presents normal routine magnetic resonance imaging (MRI); however, quantitative analytic techniques have captured subtle cortical and subcortical magnetic resonance anomalies. Network science, including graph theory (GT) analyses, facilitates understanding of brain covariance patterns, potentially informing in important ways how this common self-limiting epilepsy syndrome may impact normal patterns of brain and cognitive development.

methodsGT analyses examined the developmental covariance among cortical and subcortical regions in children with new/recent onset BECTS (n = 19) and typically developing healthy controls (n = 22) who underwent high-resolution MRI and cognitive assessment at baseline and 2 years later. Global (transitivity, global efficiency, and modularity index [Q]) and regional measures (local efficiency and hubs) were investigated to characterize network development in each group. Associations between baseline-based GT measures and cognition at both time points addressed the implications of GT analyses for cognition and prospective cognitive development. Furthermore, an individual contribution measure was investigated, reflecting how important for cognition it is for BECTS to resemble the correlation matrices of controls.

resultsGroups exhibited similar Q and overall network configuration, with BECTS presenting significantly higher transitivity and both global and local efficiency. Furthermore, both groups presented a similar number of hubs, with BECTS showing a higher number in temporal lobe regions compared to controls. The investigated measures were negatively associated with 2-year cognitive outcomes in BECTS. SIGNIFICANCE: Children with BECTS present a higher-than-normal global developmental configuration compared to controls, along with divergence from normality in terms of regional configuration. Baseline GT measures demonstrate potential as a cognitive biomarker to predict cognitive outcome in BECTS 2 years after diagnosis. Similarities and differences in developmental network configurations and their implications for cognition and behavior across common epilepsy syndromes are of theoretical interest and clinical relevance.

Indexed as

AdolescentAlgorithmsBrainChildCognitionEpilepsy, RolandicFemaleHumansMagnetic Resonance ImagingMaleNerve NetNeuropsychological Testsbenign epilepsy with centrotemporal spikesbrain volume developmentcognitiongraph theoryRolandic epilepsy

Identifiers

PMID31347155
PMCPMC7394051
OpenAlexW2962751608

What OpenQuestion holds

Textmetadata
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.