Evidence map›Paper›PMID 34962935›Full record

ArticlePLoS computational biology2021

A novel theoretical framework for simultaneous measurement of excitatory and inhibitory conductances.

Daniel Müller-Komorowska, Ana Parabucki, Gal Elyasaf, Yonatan Katz, Heinz Beck, Ilan Lampl

Abstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Daniel Müller-KomorowskaInstitute of Experimental Epileptology and Cognition Research, Life and Brain Center, University of Bonn Medical Center, Bonn, Germany.ORCID 0000-0002-2789-6068
Ana ParabuckiDepartment of Neurobiology, Weizmann Institute of Science, Rehovot, Israel.ORCID 0000-0003-2575-4610
Gal ElyasafDepartment of Neurobiology, Weizmann Institute of Science, Rehovot, Israel.ORCID 0000-0001-6049-344X
Yonatan KatzDepartment of Neurobiology, Weizmann Institute of Science, Rehovot, Israel.ORCID 0000-0002-1256-9515
Heinz BeckInstitute of Experimental Epileptology and Cognition Research, Life and Brain Center, University of Bonn Medical Center, Bonn, Germany.ORCID 0000-0002-8961-998X
Ilan LamplDepartment of Neurobiology, Weizmann Institute of Science, Rehovot, Israel.ORCID 0000-0002-9380-0730

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The firing of neurons throughout the brain is determined by the precise relations between excitatory and inhibitory inputs, and disruption of their balance underlies many psychiatric diseases. Whether or not these inputs covary over time or between repeated stimuli remains unclear due to the lack of experimental methods for measuring both inputs simultaneously. We developed a new analytical framework for instantaneous and simultaneous measurements of both the excitatory and inhibitory neuronal inputs during a single trial under current clamp recording. This can be achieved by injecting a current composed of two high frequency sinusoidal components followed by analytical extraction of the conductances. We demonstrate the ability of this method to measure both inputs in a single trial under realistic recording constraints and from morphologically realistic CA1 pyramidal model cells. Future experimental implementation of our new method will facilitate the understanding of fundamental questions about the health and disease of the nervous system.

Indexed as

CA1 Region, HippocampalModels, NeurologicalNeuronsAction PotentialsAnimalsComputational BiologyElectrophysiologyMice

Identifiers

PMID34962935
PMCPMC8746761

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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.