Evidence map›Paper›PMID 27283857›Full record

ArticleJournal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology2016

The electrocardiogram signal of Seba's short-tailed bat, Carollia perspicillata.

Diana Mihova, Julio C Hechavarría

Abstract read
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In one paragraph

Article in Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.6field-weighted citation impact, top 8% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. No effect of season on the electrocardiogram of long-eared bats (Nyctophilus gouldi) during torpor.Journal of comparative physiology. B, Biochemical, systemic, and environmental physiology · 2018
    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

2 authors at 1 institution in 1 country.

Diana MihovaInstitut für Zellbiologie und Neurowissenschaft, Goethe-Universität, Max-von-Laue-Str. 13, 60438, Frankfurt/Main, Germany.
Julio C HechavarríaInstitut für Zellbiologie und Neurowissenschaft, Goethe-Universität, Max-von-Laue-Str. 13, 60438, Frankfurt/Main, Germany. Hechavarria@bio.uni-frankfurt.de.ORCID 0000-0001-9277-2339
Goethe University Frankfurt · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A number of studies have successfully used electrocardiogram (ECG) signals to characterize complex physiological phenomena such as associative learning in bats. However, at present, no thorough characterization of the structure of ECG signals is available for these animals. The aim of the present study was to quantitatively characterize features of the ECG signals in the bat species Carollia perspicillata, a species that is commonly used in neuroethology studies. Our results show that the ECG signals of C. perspicillata follow the typical mammalian pattern, in that they are composed by a P wave, QRS complex and a T wave. Peak-to-peak amplitudes in the bats' ECG signals were larger in measuring configurations in which one of the electrodes was attached to the right thumb. In addition, large differences in the instantaneous heart rate (HR) distributions were observed between ketamine/xylazine anesthetized and awake bats. Ketamine/xylazine might target the neural circuits that control HR, therefore, instantaneous HR measurements should only be used as physiological marker in awake animals.

Indexed as

AnimalsChiropteraElectrocardiographyFemaleHeart RateMaleAnaesthesiaBatsBradycardiaElectrocardiogram (ECG)Heart rateVariability

Identifiers

PMID27283857
OpenAlexW2411360793

What OpenQuestion holds

Textmetadata
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.