Evidence map›Paper›PMID 22275859›Full record

ArticlePLoS computational biology2012

Membrane properties and the balance between excitation and inhibition control gamma-frequency oscillations arising from feedback inhibition.

Michael N Economo, John A White

Abstract read
In one paragraph

Article in PLoS computational biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

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  17. Resonant Interneurons Can Increase Robustness of Gamma Oscillations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2015
    Article
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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

2 authors.

Michael N EconomoDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts, United States of America.
John A White

Funding

Real-Time Control System for Biological ExperimentsR01RR020115 · NCRR · WEILL MEDICAL COLL OF CORNELL UNIV · PI CHRISTINI, DAVID J. · 2004 to 2011
$3.9M
Synchronous Activity in Hybrid Neuronal MicrocircuitsR01MH085074 · NIMH · UNIVERSITY OF UTAH · PI WHITE, JOHN A. · 2010 to 2014
$1.7M
Calcium Signaling in AstrocytesRC1NS069033 · NINDS · UNIVERSITY OF UTAH · PI WHITE, JOHN A., WILCOX, KAREN S · 2009 to 2010
$923k
NCRR NIH HHS R01 RR020115NIMH NIH HHS R01 MH085074NIMH NIH HHS R01 MH85074NINDS NIH HHS RC1 NS069033
6 · The paper itself

Abstract

Computational studies as well as in vivo and in vitro results have shown that many cortical neurons fire in a highly irregular manner and at low average firing rates. These patterns seem to persist even when highly rhythmic signals are recorded by local field potential electrodes or other methods that quantify the summed behavior of a local population. Models of the 30-80 Hz gamma rhythm in which network oscillations arise through 'stochastic synchrony' capture the variability observed in the spike output of single cells while preserving network-level organization. We extend upon these results by constructing model networks constrained by experimental measurements and using them to probe the effect of biophysical parameters on network-level activity. We find in simulations that gamma-frequency oscillations are enabled by a high level of incoherent synaptic conductance input, similar to the barrage of noisy synaptic input that cortical neurons have been shown to receive in vivo. This incoherent synaptic input increases the emergent network frequency by shortening the time scale of the membrane in excitatory neurons and by reducing the temporal separation between excitation and inhibition due to decreased spike latency in inhibitory neurons. These mechanisms are demonstrated in simulations and in vitro current-clamp and dynamic-clamp experiments. Simulation results further indicate that the membrane potential noise amplitude has a large impact on network frequency and that the balance between excitatory and inhibitory currents controls network stability and sensitivity to external inputs.

Indexed as

Models, NeurologicalAction PotentialsAnimalsBrain WavesComputer SimulationFeedback, PhysiologicalMiceMice, TransgenicNeuronsPatch-Clamp TechniquesPyramidal Cells

Identifiers

PMID22275859
PMCPMC3261914

What OpenQuestion holds

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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.