Evidence map›Paper›PMID 20002152›Full record

ArticleEpilepsia2010

Spatiotemporal patterns of electrocorticographic very fast oscillations (> 80 Hz) consistent with a network model based on electrical coupling between principal neurons.

Roger D Traub, Roderick Duncan, Aline J C Russell, Torsten Baldeweg, Yuhai Tu, Mark O Cunningham, Miles A Whittington

Abstract read
In one paragraph

Article in Epilepsia, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. A Role for Electrotonic Coupling Between Cortical Pyramidal Cells.Frontiers in computational neuroscience · 2019
    Article
  7. Targeting high frequency oscillations in epilepsy.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2018
    Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Slow Spatial Recruitment of Neocortex during Secondarily Generalized Seizures and Its Relation to Surgical Outcome.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2015
    Article
  13. Review
  14. Article
  15. Spreading dynamics on spatially constrained complex brain networks.Journal of the Royal Society, Interface · 2013
    Article
  16. Review
  17. Article
  18. Seizure localization using broadband EEG: comparison of conventional frequency activity, high-frequency oscillations, and infraslow activity.Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society · 2012
    Article
  19. Article
  20. 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

7 authors.

Roger D TraubDepartment of Physical Sciences, IBM T.J. Watson Research Center, Yorktown Heights, New York 10598, USA. rtraub@us.ibm.com
Roderick Duncan
Aline J C Russell
Torsten Baldeweg
Yuhai Tu
Mark O Cunningham
Miles A Whittington

Funding

Detailed Models of Network Bursts and OscillationsR01NS044133 · NINDS · SUNY DOWNSTATE MEDICAL CENTER · PI TRAUB, ROGER D · 2002 to 2017
$3.9M
Medical Research Council G0701048NINDS NIH HHS R01 NS044133NINDS NIH HHS R01NS044133
6 · The paper itself

Abstract

purposeWe sought to characterize spatial and temporal patterns of electrocorticography (ECoG) very fast oscillations (> ∼80 Hz, VFOs) prior to seizures in human frontotemporal neocortex, and to develop a testable network model of these patterns.

methodsECoG data were recorded with subdural grids from two preoperative patients with seizures of frontal lobe onset in an epilepsy monitoring unit. VFOs were recorded from rat neocortical slices. A "cellular automaton" model of network oscillations was developed, extending ideas of Traub et al. (Neuroscience, 92, 1999, 407) and Lewis & Rinzel (Network: Comput Neural Syst, 11, 2000, 299); this model is based on postulated electrical coupling between pyramidal cell axons.

resultsLayer 5 of rat neocortex, in vitro, can generate VFOs when chemical synapses are blocked. Human epileptic neocortex, in situ, produces preseizure VFOs characterized by the sudden appearance of "blobs" of activity that evolve into spreading wavefronts. When wavefronts meet, they coalesce and propagate perpendicularly but never pass through each other. This type of pattern has been described by Lewis & Rinzel in cellular automaton models with spatially localized connectivity, and is demonstrated here with 120,000- to 5,760,000-cell models. We provide a formula for estimating VFO period from structural parameters and estimate the spatial scale of the connectivity. DISCUSSION: These data provide further evidence, albeit indirect, that preseizure VFOs are generated by networks of pyramidal neurons coupled by gap junctions, each predominantly confined to pairs of neurons having somata separated by < ∼1-2 mm. Plausible antiepileptic targets are tissue mechanisms, such as pH regulation, that influence gap-junction conductance.

Indexed as

Models, Neurological2-Amino-5-phosphonovaleratealpha-Amino-3-hydroxy-5-methyl-4-isoxazolepropionic AcidAnimalsAutomationBiological ClocksBiophysicsChildElectric StimulationElectroencephalographyExcitatory Amino Acid AgonistsExcitatory Amino Acid AntagonistsFemaleFrontal LobeHumansIn Vitro Techniques2-Amino-5-phosphonovalerate4-aminophenyl-1,2-dihydro-1-methyl-2-propylcarbamoyl-6,7-methylenedioxyphthalazinealpha-Amino-3-hydroxy-5-methyl-4-isoxazolepropionic AcidExcitatory Amino Acid AgonistsExcitatory Amino Acid AntagonistsPhthalazines

Identifiers

PMID20002152
PMCPMC2892641

What OpenQuestion holds

Textmetadata
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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.