Evidence map›Paper›PMID 30373769›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2018

Membrane Potential Correlates of Network Decorrelation and Improved SNR by Cholinergic Activation in the Somatosensory Cortex.

Inbal Meir, Yonatan Katz, Ilan Lampl

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

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  14. A functional logic for neurotransmitter corelease in the cholinergic forebrain pathway.Proceedings of the National Academy of Sciences of the United States of America · 2023
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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

3 authors.

Inbal MeirDepartment of Neurobiology, Weizmann Institute of Science, Rehovot 7610001, Israel.
Yonatan KatzDepartment of Neurobiology, Weizmann Institute of Science, Rehovot 7610001, Israel.ORCID 0000-0003-1674-0508
Ilan LamplDepartment of Neurobiology, Weizmann Institute of Science, Rehovot 7610001, Israel Ilan.Lampl@weizmann.ac.il.ORCID 0000-0002-9380-0730

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The nucleus basalis (NB) projects cholinergic axons to the cortex, where they play a major role in arousal, attention, and learning. Cholinergic inputs shift cortical dynamics from synchronous to asynchronous and improve the signal-to-noise ratio (SNR) of sensory responses. However, the underlying mechanisms of these changes remain unclear. Using simultaneous extracellular and whole-cell patch recordings in layer 4 of the mouse barrel cortex, we show that electrical or optogenetic activation of the cholinergic system has a differential effect on ongoing and sensory evoked activities. Cholinergic activation profoundly reduced the large spontaneous fluctuations in membrane potential and decorrelated ongoing activity. However, NB stimulation had no effect on the response to whisker stimulation or on signal correlations. These effects of cholinergic activation provide a unified explanation for the increased SNR of sensory response and for the reduction in noise correlations and explain the shift into the desynchronized cortical state, which are the hallmarks of arousal and attention.

Indexed as

Signal-To-Noise RatioAnimalsBasal Nucleus of MeynertCholinergic AgentsCholinergic NeuronsFemaleMaleMembrane PotentialsMiceMice, 129 StrainMice, Inbred C57BLMice, TransgenicNerve NetOptogeneticsSomatosensory CortexCholinergic Agentsbarrel cortexcholinergicdecorrelationin-vivo intracellular recordingsnucleus basalisSNR

Identifiers

PMID30373769
PMCPMC6580666

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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.