Evidence map›Paper›PMID 30723398›Full record

ArticleFrontiers in neural circuits2019

Cortical Layer and Spectrotemporal Architecture of Epileptiform Activity

Anthony J Williams, Qian-Quan Sun

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neural circuits, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. 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

2 authors at 1 institution in 1 country.

Anthony J WilliamsDepartment of Zoology & Physiology, University of Wyoming, Laramie, WY, United States.
Qian-Quan SunDepartment of Zoology & Physiology, University of Wyoming, Laramie, WY, United States.
University of Wyoming · US

Funding

Zebrafish Models of CNS Injury and Locomotor RecoveryP20GM121310 · NIGMS · UNIVERSITY OF WYOMING · PI Rammohan Shukla · 2017 to 2026
$27.2M
Mechanisms underlying continuous spike-waves during slow-wave sleep in a mouse model of focal cortical dysplasiaR01NS094550 · NINDS · UNIVERSITY OF WYOMING · PI SUN, QIAN-QUAN · 2015 to 2019
$1.6M
NIGMS NIH HHS P20 GM121310NINDS NIH HHS R01 NS094550
6 · The paper itself

Abstract

Our objective is to examine the layer and spectrotemporal architecture and laminar distribution of high-frequency oscillations (HFOs) in a neonatal freeze lesion model of focal cortical dysplasia (FCD) associated with a high prevalence of spontaneous spike-wave discharges (SWDs). Electrophysiological recording of local field potentials (LFPs) in control and freeze lesion animals were obtained with linear micro-electrode arrays to detect presence of HFOs as compared to changes in spectral power, signal coherence, and single-unit distributions during "hyper-excitable" epochs of anesthesia-induced burst-suppression (B-S). Result were compared to HFOs observed during spontaneous SWDs in animals during sleep. Micro-electrode array recordings from the malformed cortex indicated significant increases in the presence of HFOs above 100 Hz and associated increases in spectral power and altered LFP coherence of recorded signals across cortical lamina of freeze-lesioned animals with spontaneous bursts of high-frequency activity, confined predominately to granular and supragranular layers. Spike sorting of well-isolated single-units recorded from freeze-lesioned cortex indicated an increase in putative excitatory cell activity in the outer cortical layers that showed only a weak association with HFOs while deeper inhibitory units were strongly phase-locked to high-frequency ripple (HFR) oscillations (300-800 Hz). Both SWDs and B-S show increases in HFR activity that were phase-locked to the high-frequency spike pattern occurring at the trough of low frequency oscillations. The spontaneous cyclic spiking of cortical inhibitory cells appears to be the driving substrate behind the HFO patterns associated with SWDs and a hyperexcitable supragranular layer near the malformed cortex may play a key role in epileptogenesis in our model. These data, derived from a mouse model with a distinct focal cortical malformation, support recent clinical data that HFOs, particularly fast ripples, is a biomarker to help define the cortical seizure zone, and provide limited insights toward understanding cellular level changes underlying the HFOs.

Indexed as

AnimalsAnimals, NewbornCerebral CortexChannelrhodopsinsDisease Models, AnimalFemaleFreezingLuminescent ProteinsMaleMalformations of Cortical DevelopmentMembrane PotentialsMiceOptogeneticsSleepTransduction, GeneticWakefulnessChannelrhodopsinsLuminescent Proteinsepilepsyhigh frequency oscillationsneonatal freeze lesionsingle unitspike wave discharge

Identifiers

PMID30723398
PMCPMC6349724
OpenAlexW2912686033

What OpenQuestion holds

Textmetadata
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.