Evidence map›Paper›PMID 27712456›Full record

ArticleInternational journal of neural systems2017

Emergence of Narrowband High Frequency Oscillations from Asynchronous, Uncoupled Neural Firing.

Stephen V Gliske, William C Stacey, Eugene Lim, Katherine A Holman, Christian G Fink

Abstract read
In one paragraph

Article in International journal of neural systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. High frequency oscillations and interictal discharges at 50 μm spatial resolution.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2021
    Article
  5. Article
  6. Redaction of false high frequency oscillations due to muscle artifact improves specificity to epileptic tissue.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2019
    Article
  7. Article
  8. Review
  9. THE TRAINING OF NEXT GENERATION DATA SCIENTISTS IN BIOMEDICINE.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2017
    Article
  10. Article
  11. 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

5 authors.

Stephen V Gliske1 Department of Neurology, University of Michigan, 1500 E. Medical Center Drive, Ann Arbor, MI 48109, USA.
William C Stacey2 Departments of Biomedical Engineering and Neurology, University of Michigan, 1500 E. Medical Center Drive, Ann Arbor, MI 48109, USA.
Eugene Lim3 Department of Physics, Ohio Wesleyan University, 61 S. Sandusky St., Delaware, OH 43015, USA.
Katherine A Holman4 Department of Physics, Towson University, 8000 York Road, Towson, MD 21252, USA.
Christian G Fink5 Department of Physics and Neuroscience Program, Ohio Wesleyan University, 61 S. Sandusky St., Delaware, OH 43015, USA.

Funding

Michigan Institute for Clinical and Health Research (MCHR)UL1TR000433 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MASHOUR, GEORGE ALEXANDER · 2012 to 2016
$49.9M
Characterizing High Frequency Oscillations as an epilepsy biomarker with Big Data toolsR01NS094399 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI STACEY, WILLIAM CHARLES · 2015 to 2025
$4.1M
Modeling seizure precursors and antiepileptic brain stimulationK08NS069783 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI STACEY, WILLIAM CHARLES · 2011 to 2015
$886k
Epileptic biomarkers and big data: identifying brain regions to resect in patients with refractory epilepsyK01ES026839 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GLISKE, STEPHEN V · 2015 to 2019
$734k
Doris Duke Charitable Foundation 2015096NCATS NIH HHS UL1 TR000433NIEHS NIH HHS K01 ES026839NINDS NIH HHS K08 NS069783NINDS NIH HHS R01 NS094399
6 · The paper itself

Abstract

Previous experimental studies have demonstrated the emergence of narrowband local field potential oscillations during epileptic seizures in which the underlying neural activity appears to be completely asynchronous. We derive a mathematical model explaining how this counterintuitive phenomenon may occur, showing that a population of independent, completely asynchronous neurons may produce narrowband oscillations if each neuron fires quasi-periodically, without requiring any intrinsic oscillatory cells or feedback inhibition. This quasi-periodicity can occur through cells with similar frequency-current ([Formula: see text]-[Formula: see text]) curves receiving a similar, high amount of uncorrelated synaptic noise. Thus, this source of oscillatory behavior is distinct from the usual cases (pacemaker cells entraining a network, or oscillations being an inherent property of the network structure), as it requires no oscillatory drive nor any specific network or cellular properties other than cells that repetitively fire with continual stimulus. We also deduce bounds on the degree of variability in neural spike-timing which will permit the emergence of such oscillations, both for action potential- and postsynaptic potential-dominated LFPs. These results suggest that even an uncoupled network may generate collective rhythms, implying that the breakdown of inhibition and high synaptic input often observed during epileptic seizures may generate narrowband oscillations. We propose that this mechanism may explain why so many disparate epileptic and normal brain mechanisms can produce similar high frequency oscillations.

Indexed as

Models, NeurologicalPeriodicityAction PotentialsAlgorithmsAnimalsBrainEpilepsyHumansNeuronsepilepsyHFOrhythmogenesissynchronization

Identifiers

PMID27712456
PMCPMC5101151

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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.