Evidence map›Paper›PMID 36299293›Full record

ArticleFrontiers in behavioral neuroscience2022

Comparison of two behavioral tests for tinnitus assessment in mice.

Emily M Fabrizio-Stover, Grace Nichols, Jamie Corcoran, Avni Jain, Alice L Burghard, Christopher M Lee, Douglas L Oliver

Open access · goldAbstract read
In one paragraph

Article in Frontiers in behavioral neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Advancing precision ear medicine: leveraging animal models for disease insights and therapeutic innovations.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
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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

7 authors at 1 institution in 1 country.

Emily M Fabrizio-StoverDepartment of Neuroscience, University of Connecticut Health Center, Farmington, CT, United States.
Grace NicholsDepartment of Neuroscience, University of Connecticut Health Center, Farmington, CT, United States.
Jamie CorcoranDepartment of Neuroscience, University of Connecticut Health Center, Farmington, CT, United States.
Avni JainDepartment of Neuroscience, University of Connecticut Health Center, Farmington, CT, United States.
Alice L BurghardDepartment of Neuroscience, University of Connecticut Health Center, Farmington, CT, United States.
Christopher M LeeDepartment of Neuroscience, University of Connecticut Health Center, Farmington, CT, United States.
Douglas L OliverDepartment of Neuroscience, University of Connecticut Health Center, Farmington, CT, United States.
UConn Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Animal research focused on chronic tinnitus associated with noise-induced hearing loss can be expensive and time-consuming as a result of the behavioral training required. Although there exist a number of behavioral tests for tinnitus; there have been few formal direct comparisons of these tests. Here, we evaluated animals in two different tinnitus assessment methods. CBA/CaJ mice were trained in an operant conditioning, active avoidance (AA) test, and a reflexive, gap-induced pre-pulse inhibition of acoustic startle (GPIAS) test, or both. Tinnitus was induced in awake mice by unilateral continuous sound exposure using a 2-kHz- or

Indexed as

active avoidance (AA)gap-induced pre-pulse inhibition of acoustic startle (GPIAS)inferior colliculus (IC)noise-induced hearing loss (NIHL)spontaneous activity

Identifiers

PMID36299293
PMCPMC9588978
OpenAlexW4303985777

What OpenQuestion holds

Textmetadata
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.