Evidence map›Paper›PMID 25247680›Full record

ArticlePloS one2014

The role of resting state networks in focal neocortical seizures.

S Kathleen Bandt, David T Bundy, Ammar H Hawasli, Kareem W Ayoub, Mohit Sharma, Carl D Hacker, Mrinal Pahwa, Eric C Leuthardt

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Interictal spike connectivity in human epileptic neocortex.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2019
    Article
  7. Article
  8. Article
  9. Review
  10. 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

8 authors.

S Kathleen BandtDepartment of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri, United States of America.
David T BundyDepartment of Biomedical Engineering, Washington University, St. Louis, Missouri, United States of America.
Ammar H HawasliDepartment of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri, United States of America.
Kareem W AyoubDepartment of Biomedical Engineering, Washington University, St. Louis, Missouri, United States of America; Washington University School of Medicine, St. Louis, Missouri, United States of America; Department of Biomedical Engineering, Oxford University, Oxford, United Kingdom.
Mohit SharmaDepartment of Biomedical Engineering, Washington University, St. Louis, Missouri, United States of America.
Carl D HackerDepartment of Biomedical Engineering, Washington University, St. Louis, Missouri, United States of America; Washington University School of Medicine, St. Louis, Missouri, United States of America.
Mrinal PahwaDepartment of Biomedical Engineering, Washington University, St. Louis, Missouri, United States of America.
Eric C LeuthardtDepartment of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri, United States of America; Department of Biomedical Engineering, Washington University, St. Louis, Missouri, United States of America; Center for Innovation in Neuroscience and Technology, Washington University School of Medicine, St. Louis, Missouri, United States of America.

Funding

Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
NERVOUS SYSTEM DEVELOPMENT AND INJURYT32NS007205 · NINDS · WASHINGTON UNIVERSITY · PI HOLTZMAN, DAVID M. · 1985 to 2017
$4.2M
THE ELECTROPHYSIOLOGY OF RESTING STATE FMRI NETWORKSF30MH099877 · NIMH · WASHINGTON UNIVERSITY · PI HACKER, CARL · 2013 to 2017
$176k
NCATS NIH HHS UL1 TR000448NIMH NIH HHS F30 MH099877NINDS NIH HHS 5T32NS007205NINDS NIH HHS T32 NS007205
6 · The paper itself

Abstract

objectiveThe role of resting state functional networks in epilepsy is incompletely understood. While some pathologic diagnoses have been shown to have maintained but altered resting state connectivity, others have implicated resting state connectivity in disease progression. However little is known about how these resting state networks influence the behavior of a focal neocortical seizure.

methodsUsing data taken from invasively monitored patients with intractable focal neocortical epilepsy, we evaluated network connectivity (as determined by oscillatory covariance of the slow cortical potential (<0.5 Hz)) as it relates to neocortical seizure foci both in the interictal and ictal states.

resultsSimilar to what has been shown in the past for sleep and anesthesia, electophysiologic resting state networks that are defined by this slow cortical potential covariance maintain their topographic correlation structure throughout an ictal event. Moreover, in the context of focal epilepsy in which the seizure has a specific site of onset, seizure propagation is not chaotic or random. Rather, the seizure (reflected by an elevation of high frequency power) preferentially propagates along the network that contains the seizure onset zone. SIGNIFICANCE: Taken together, these findings further undergird the fundamental role of resting state networks, provide novel insights into the network-influenced behavior of seizures, and potentially identify additional targets for surgical disconnection including informing the location for the completion of multiple subpial transections (MSPTs).

Indexed as

AdultCortical SynchronizationElectroencephalographyFemaleHumansMaleMiddle AgedNeocortexNerve NetSeizuresTreatment Outcome

Identifiers

PMID25247680
PMCPMC4172478

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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.