Evidence map›Paper›PMID 26578893›Full record

ArticleFrontiers in neural circuits2015

Broadband macroscopic cortical oscillations emerge from intrinsic neuronal response failures.

Amir Goldental, Roni Vardi, Shira Sardi, Pinhas Sabo, Ido Kanter

Abstract read
In one paragraph

Article in Frontiers in neural circuits, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Amir GoldentalDepartment of Physics, Bar-Ilan University Ramat-Gan, Israel.
Roni VardiGonda Interdisciplinary Brain Research Center, Goodman Faculty of Life Sciences, Bar-Ilan University Ramat-Gan, Israel.
Shira SardiDepartment of Physics, Bar-Ilan University Ramat-Gan, Israel ; Gonda Interdisciplinary Brain Research Center, Goodman Faculty of Life Sciences, Bar-Ilan University Ramat-Gan, Israel.
Pinhas SaboDepartment of Physics, Bar-Ilan University Ramat-Gan, Israel.
Ido KanterDepartment of Physics, Bar-Ilan University Ramat-Gan, Israel ; Gonda Interdisciplinary Brain Research Center, Goodman Faculty of Life Sciences, Bar-Ilan University Ramat-Gan, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Broadband spontaneous macroscopic neural oscillations are rhythmic cortical firing which were extensively examined during the last century, however, their possible origination is still controversial. In this work we show how macroscopic oscillations emerge in solely excitatory random networks and without topological constraints. We experimentally and theoretically show that these oscillations stem from the counterintuitive underlying mechanism-the intrinsic stochastic neuronal response failures (NRFs). These NRFs, which are characterized by short-term memory, lead to cooperation among neurons, resulting in sub- or several- Hertz macroscopic oscillations which coexist with high frequency gamma oscillations. A quantitative interplay between the statistical network properties and the emerging oscillations is supported by simulations of large networks based on single-neuron in-vitro experiments and a Langevin equation describing the network dynamics. Results call for the examination of these oscillations in the presence of inhibition and external drives.

Indexed as

AnimalsAnimals, NewbornCerebral CortexElectrophysiological PhenomenaNerve NetNeural Networks, ComputerNeuronal PlasticityNeuronsRatsRats, Sprague-Dawleycortical oscillationsneual networksneuronal plasticityneuronal response failuresneuronal response latency

Identifiers

PMID26578893
PMCPMC4626558

What OpenQuestion holds

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Registered trials

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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.