Evidence map›Paper›PMID 30814933›Full record

ArticleFrontiers in neural circuits2019

A Temporal Filter for Binaural Hearing Is Dynamically Adjusted by Sound Pressure Level.

Ida Siveke, Andrea Lingner, Julian J Ammer, Sarah A Gleiss, Benedikt Grothe, Felix Felmy

Abstract read
In one paragraph

Article in Frontiers in neural circuits, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Ida SivekeDepartment Biology II, Division of Neurobiology, Ludwig-Maximilians-Universität München, Munich, Germany.
Andrea LingnerDepartment Biology II, Division of Neurobiology, Ludwig-Maximilians-Universität München, Munich, Germany.
Julian J AmmerDepartment Biology II, Division of Neurobiology, Ludwig-Maximilians-Universität München, Munich, Germany.
Sarah A GleissDepartment Biology II, Division of Neurobiology, Ludwig-Maximilians-Universität München, Munich, Germany.
Benedikt GrotheDepartment Biology II, Division of Neurobiology, Ludwig-Maximilians-Universität München, Munich, Germany.
Felix FelmyDepartment Biology II, Division of Neurobiology, Ludwig-Maximilians-Universität München, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In natural environments our auditory system is exposed to multiple and diverse signals of fluctuating amplitudes. Therefore, to detect, localize, and single out individual sounds the auditory system has to process and filter spectral and temporal information from both ears. It is known that the overall sound pressure level affects sensory signal transduction and therefore the temporal response pattern of auditory neurons. We hypothesize that the mammalian binaural system utilizes a dynamic mechanism to adjust the temporal filters in neuronal circuits to different overall sound pressure levels. Previous studies proposed an inhibitory mechanism generated by the reciprocally coupled dorsal nuclei of the lateral lemniscus (DNLL) as a temporal neuronal-network filter that suppresses rapid binaural fluctuations. Here we investigated the consequence of different sound levels on this filter during binaural processing. Our

Indexed as

Sound2-Amino-5-phosphonovalerateAcoustic StimulationAction PotentialsAnimalsAuditory PathwaysExcitatory Amino Acid AntagonistsFemaleGerbillinaeHearingInferior ColliculiMaleNeural InhibitionNeuronsPsychophysicsQuinoxalines2-Amino-5-phosphonovalerateExcitatory Amino Acid AntagonistsFG 9041Quinoxalinesauditory filterdorsal nucleus of the lateral lemniscusecho perceptionglutamate receptorsound pressure level

Identifiers

PMID30814933
PMCPMC6381077

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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.