Evidence map›Paper›PMID 23149729›Full record

ArticleNature communications2012

Behavioural and neurobiological implications of linear and non-linear features in larynx phonations of horseshoe bats.

Kohta I Kobayasi, Steffen R Hage, Sean Berquist, Jiang Feng, Shuyi Zhang, Walter Metzner

Open access · bronzeAbstract read
In one paragraph

Article in Nature communications, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

7 citing papers in PubMed, 17 citations in OpenAlex.

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  7. Rat ultrasonic vocalization shows features of a modular behavior.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2014
    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 at 4 institutions in 4 countries.

Kohta I KobayasiDepartment of Integrative Biology and Physiology, UCLA, Los Angeles, California 90095-1606, USA.
Steffen R Hage
Sean Berquist
Jiang Feng
Shuyi Zhang
Walter Metzner
University of California, Los Angeles · USDoshisha University · JPEast China Normal University · CNNortheast Normal University · CN

Funding

Neural Basis of Audio-Vocal IntegrationR01DC005400 · NIDCD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI METZNER, WALTER · 2004 to 2006
$922k
NIDCD NIH HHS R01 DC005400
6 · The paper itself

Abstract

Mammalian vocalizations exhibit large variations in their spectrotemporal features, although it is still largely unknown which result from intrinsic biomechanical properties of the larynx and which are under direct neuromuscular control. Here we show that mere changes in laryngeal air flow yield several non-linear effects on sound production, in an isolated larynx preparation from horseshoe bats. Most notably, there are sudden jumps between two frequency bands used for either echolocation or communication in natural vocalizations. These jumps resemble changes in 'registers' as in yodelling. In contrast, simulated contractions of the main larynx muscle produce linear frequency changes, but are limited to echolocation or communication frequencies. Only by combining non-linear and linear properties can this larynx, therefore, produce sounds covering the entire frequency range of natural calls. This may give behavioural meaning to yodelling-like vocal behaviour and reshape our thinking about how the brain controls the multitude of spectral vocal features in mammals.

Indexed as

Nonlinear DynamicsAirAnimalsBehavior, AnimalChiropteraEcholocationFemaleIn Vitro TechniquesLaryngeal MusclesLarynxMaleMotor NeuronsMuscle ContractionPhonationPressureSound

Identifiers

PMID23149729
PMCPMC3552533
OpenAlexW2070338936

What OpenQuestion holds

Textmetadata
LicenceTDM
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.