Evidence map›Paper›PMID 25706879›Full record

ArticlePloS one2015

A new device for step-down inhibitory avoidance task--effects of low and high frequency in a novel device for passive inhibitory avoidance task that avoids bioimpedance variations.

Gilvan Luiz Borba Filho, Kamila Cagliari Zenki, Eduardo Kalinine, Suelen Baggio, Letícia Pettenuzzo, Eduardo Rigon Zimmer, Simone Nardin Weis, Maria Elisa Calcagnotto, Diogo Onofre de Souza

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. 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
1.2field-weighted citation impact, top 23% 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, 21 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 1 institution in 1 country.

Gilvan Luiz Borba FilhoPrograma de Pós-Graduação em Educação em Ciências, ICBS-Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil.
Kamila Cagliari ZenkiPrograma de Pós-Graduação em Ciências Biológicas-Bioquímica, ICBS-Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil.
Eduardo KalininePrograma de Pós-Graduação em Ciências Biológicas-Bioquímica, ICBS-Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil; Programa de Pós-Graduação em Ciências Fisiológicas-Universidade Federal de Sergipe, São Cristóvão, Sergipe, Brasil.
Suelen BaggioPrograma de Pós-Graduação em Ciências Biológicas-Bioquímica, ICBS-Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil.
Letícia PettenuzzoPrograma de Pós-Graduação em Ciências Biológicas-Bioquímica, ICBS-Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil.
Eduardo Rigon ZimmerPrograma de Pós-Graduação em Ciências Biológicas-Bioquímica, ICBS-Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil.
Simone Nardin WeisPrograma de Pós-Graduação em Ciências Biológicas-Bioquímica, ICBS-Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil.
Maria Elisa CalcagnottoPrograma de Pós-Graduação em Ciências Biológicas-Bioquímica, ICBS-Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil; Departamento de Bioquímica, ICBS-Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil.
Diogo Onofre de SouzaPrograma de Pós-Graduação em Educação em Ciências, ICBS-Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil; Programa de Pós-Graduação em Ciências Biológicas-Bioquímica, ICBS-Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil; Departamento de Bioquímica, ICBS-Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil.
Universidade Federal do Rio Grande do Sul · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStep-down inhibitory avoidance task has been widely used to evaluate aversive memory, but crucial parameters inherent to traditional devices that may influence the behavior analysis (as stimulus frequency, animal's bioimpedance) are frequently neglected. NEW

methodWe developed a new device for step-down inhibitory avoidance task by modifying the shape and distribution of the stainless steel bars in the box floor where the stimuli are applied. The bars are 2 mm wide, with rectangular shape, arranged in pairs at intervals of 1cm from the next pairs. Each pair makes an electrical dipole where the polarity inverts after each pulse. This device also presents a component that acquires and records the exact current received by the animal foot and precisely controls the frequency of stimulus applied during the entire experiment.

resultDifferent from conventional devices, this new apparatus increases the contact surface with bars and animal's paws, allowing the electric current pass through the animal's paws only, drastically reducing the influence of animal's bioimpedance. The analysis of recorded data showed that the current received by the animal was practically the same as applied, independent of the animal's body composition. Importantly, the aversive memory was observed at specific stimuli intensity and frequency (0.35 or 0.5 mA at 62 and 125 Hz but not at 0.20 mA or 20 Hz). Moreover, with this device it was possible to observe the well-known step-down inhibitory avoidance task memory impairment induced by guanosine.

conclusionThis new device offers a substantial improvement for behavioral analysis in step-down inhibitory avoidance task and allows us to precisely compare data from different animals with distinct body composition.

Indexed as

AnimalsAvoidance LearningBehavior, AnimalBody CompositionElectric ImpedanceElectroshockMemoryRatsRats, Wistar

Identifiers

PMID25706879
PMCPMC4338061
OpenAlexW2001257949

What OpenQuestion holds

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LicenceCC BY
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.