Evidence map›Paper›PMID 27416731›Full record

ArticleThe Journal of physiology2017

Linear transformation of the encoding mechanism for light intensity underlies the paradoxical enhancement of cortical visual responses by sevoflurane.

Alessandro Arena, Jacopo Lamanna, Marco Gemma, Maddalena Ripamonti, Giuliano Ravasio, Vincenzo Zimarino, Assunta De Vitis, Luigi Beretta, Antonio Malgaroli

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of physiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

12 citing papers in PubMed, 23 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

9 authors at 3 institutions in 1 country.

Alessandro ArenaUniversità Vita-Salute San Raffaele, Milan, Italy.
Jacopo LamannaUniversità Vita-Salute San Raffaele, Milan, Italy.ORCID 0000-0002-1919-8219
Marco GemmaDepartment of Neuro-anaesthesia and Neuro-intensive Care, Ospedale San Raffaele, Milan, Italy.
Maddalena RipamontiUniversità Vita-Salute San Raffaele, Milan, Italy.
Giuliano RavasioDepartment of Veterinary Science and Public Health, Università degli Studi di Milano, Milan, Italy.
Vincenzo ZimarinoUniversità Vita-Salute San Raffaele, Milan, Italy.
Assunta De VitisDepartment of Neuro-anaesthesia and Neuro-intensive Care, Ospedale San Raffaele, Milan, Italy.
Luigi BerettaDepartment of Neuro-anaesthesia and Neuro-intensive Care, Ospedale San Raffaele, Milan, Italy.
Antonio MalgaroliUniversità Vita-Salute San Raffaele, Milan, Italy.
Vita-Salute San Raffaele University · ITIRCCS Ospedale San Raffaele · ITUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

key pointsThe mechanisms of action of anaesthetics on the living brain are still poorly understood. In this respect, the analysis of the differential effects of anaesthetics on spontaneous and sensory-evoked cortical activity might provide important and novel cues. Here we show that the anaesthetic sevoflurane strongly silences the brain but potentiates in a dose- and frequency-dependent manner the cortical visual response. Such enhancement arises from a linear scaling by sevoflurane of the power-law relation between light intensity and the cortical response. The fingerprint of sevoflurane action suggests that circuit silencing can boost linearly synaptic responsiveness presumably by scaling the number of responding units and/or their correlation following a sensory stimulation. ABSTRACT: General anaesthetics, which are expected to silence brain activity, often spare sensory responses. To evaluate differential effects of anaesthetics on spontaneous and sensory-evoked cortical activity, we characterized their modulation by sevoflurane and propofol. Power spectra and the bust-suppression ratio from EEG data were used to evaluate anaesthesia depth. ON and OFF cortical responses were elicited by light pulses of variable intensity, duration and frequency, during light and deep states of anaesthesia. Both anaesthetics reduced spontaneous cortical activity but sevoflurane greatly enhanced while propofol diminished the ON visual response. Interestingly, the large potentiation of the ON visual response by sevoflurane was found to represent a linear scaling of the encoding mechanism for light intensity. To the contrary, the OFF cortical visual response was depressed by both anaesthetics. The selective depression of the OFF component by sevoflurane could be converted into a robust potentiation by the pharmacological blockade of the ON pathway, suggesting that the temporal order of ON and OFF responses leads to a depression of the latter. This hypothesis agrees with the finding that the enhancement of the ON response was converted into a depression by increasing the frequency of light-pulse stimulation from 0.1 to 1 Hz. Overall, our results support the view that inactivity-dependent modulation of cortical circuits produces an increase in their responsiveness. Among the implications of our findings, the silencing of cortical circuits can boost linearly the cortical responsiveness but with negative impact on their frequency transfer and with a loss of the information content of the sensory signal.

Indexed as

Anesthetics, InhalationAnimalsElectroencephalographyEvoked Potentials, VisualMaleMethyl EthersPhotic StimulationPropofolRats, Sprague-DawleySevofluraneVisual CortexAnesthetics, InhalationMethyl EthersPropofolSevofluraneanaesthesiacortical silencinggain modulationinactivity-dependent modulationintensity sensitivityvisual cortexvisual evoked potential

Identifiers

PMID27416731
PMCPMC5199737
OpenAlexW2510962140

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.