Evidence map›Paper›PMID 37058180›Full record

ArticleJournal of computational neuroscience2023

Responses in fast-spiking interneuron firing rates to parameter variations associated with degradation of perineuronal nets.

Kine Ødegård Hanssen, Sverre Grødem, Marianne Fyhn, Torkel Hafting, Gaute T Einevoll, Torbjørn Vefferstad Ness, Geir Halnes

Open access · hybridAbstract read
In one paragraph

Article in Journal of computational neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Kine Ødegård HanssenDepartment of Physics, University of Oslo, Oslo, Norway. hanssen.kine@gmail.com.
Sverre GrødemCentre for Integrative Neuroplasticity, University of Oslo, Oslo, Norway.
Marianne FyhnCentre for Integrative Neuroplasticity, University of Oslo, Oslo, Norway.
Torkel HaftingCentre for Integrative Neuroplasticity, University of Oslo, Oslo, Norway.
Gaute T EinevollDepartment of Physics, University of Oslo, Oslo, Norway.
Torbjørn Vefferstad NessCentre for Integrative Neuroplasticity, University of Oslo, Oslo, Norway.
Geir HalnesCentre for Integrative Neuroplasticity, University of Oslo, Oslo, Norway.
University of Oslo · NONorwegian University of Life Sciences · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The perineuronal nets (PNNs) are sugar coated protein structures that encapsulate certain neurons in the brain, such as parvalbumin positive (PV) inhibitory neurons. As PNNs are theorized to act as a barrier to ion transport, they may effectively increase the membrane charge-separation distance, thereby affecting the membrane capacitance. Tewari et al. (2018) found that degradation of PNNs induced a 25%-50% increase in membrane capacitance [Formula: see text] and a reduction in the firing rates of PV-cells. In the current work, we explore how changes in [Formula: see text] affects the firing rate in a selection of computational neuron models, ranging in complexity from a single compartment Hodgkin-Huxley model to morphologically detailed PV-neuron models. In all models, an increased [Formula: see text] lead to reduced firing, but the experimentally reported increase in [Formula: see text] was not alone sufficient to explain the experimentally reported reduction in firing rate. We therefore hypothesized that PNN degradation in the experiments affected not only [Formula: see text], but also ionic reversal potentials and ion channel conductances. In simulations, we explored how various model parameters affected the firing rate of the model neurons, and identified which parameter variations in addition to [Formula: see text] that are most likely candidates for explaining the experimentally reported reduction in firing rate.

Indexed as

InterneuronsModels, NeurologicalBrainExtracellular MatrixNeuronsCapacitanceFast-spiking interneuronsFiring rateMulticompartment models of neuronsPerineuronal netsPV cells

Identifiers

PMID37058180
PMCPMC10182141
OpenAlexW4365482946

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.