Evidence map›Paper›PMID 26505900›Full record

ArticlePloS one2015

Developmental Reorganization of the Cognitive Network in Pediatric Epilepsy.

Camille Garcia-Ramos, Jack J Lin, Vivek Prabhakaran, Bruce P Hermann

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

18 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. The relevance of Spearman'sBrain communications · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Neuropsychological networks in cognitively healthy older adults and dementia patients.Neuropsychology, development, and cognition. Section B, Aging, neuropsychology and cognition · 2022
    Article
  8. Article
  9. Network topology of the cognitive phenotypes of temporal lobe epilepsy.Cortex; a journal devoted to the study of the nervous system and behavior · 2021
    Article
  10. The Cognitive Connectome in Healthy Aging.Frontiers in aging neuroscience · 2021
    Article
  11. Article
  12. Article
  13. Sleep and Epilepsy Link by Plasticity.Frontiers in neurology · 2020
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

4 authors at 2 institutions in 1 country.

Camille Garcia-RamosDepartment of Medical Physics, University of Wisconsin-Madison, Madison WI, United States of America.
Jack J LinDepartment of Neurology, University of California, Irvine, Irvine CA, United States of America.
Vivek PrabhakaranDepartment of Medical Physics, University of Wisconsin-Madison, Madison WI, United States of America; Department of Radiology, University of Wisconsin-Madison, Madison WI, United States of America.
Bruce P HermannDepartment of Neurology, University of Wisconsin-Madison, Madison WI, United States of America.
University of Wisconsin–Madison · 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
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 TR000427NCATS NIH HHS UL1TR000427NCI NIH HHS T32 CA009206NINDS NIH HHS 3R01NS044351-09S1NINDS NIH HHS K23 NS060993NINDS NIH HHS K23NS060993NINDS NIH HHS R01 NS044351PHS HHS 3R01-44351
6 · The paper itself

Abstract

Traditional approaches to understanding cognition in children with epilepsy (CWE) involve cross-sectional or prospective examination of diverse test measures, an approach that does not inform the interrelationship between different abilities or how interrelationships evolve prospectively. Here we utilize graph theory techniques to interrogate the development of cognitive landmarks in CWE and healthy controls (HC) using the two-year percentage change across 20 tests. Additionally, we characterize the development of cognition using traditional analyses, showing that CWE perform worse at baseline, develop in parallel with HC, statically maintaining cognitive differences two years later. Graph analyses, however, showed CWE to exhibit both lower integration and segregation in development of their cognitive networks compared to HC. In conclusion, graph analyses of neuropsychological data capture a dynamic and changing complexity in the interrelationships among diverse cognitive skills, maturation of the cognitive network over time, and the nature of differences between normally developing children and CWE.

Indexed as

AdolescentChildCognitionCognition DisordersEpilepsyFemaleHumansIntelligence TestsLanguageMaleNeuropsychological Tests

Identifiers

PMID26505900
PMCPMC4624435
OpenAlexW2238109049

What OpenQuestion holds

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LicenceCC BY
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.