Selective Impairment in Frequency Discrimination in a Mouse Model of Tinnitus.

PLoS One

Department of Otorhinolaryngology HNS, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.

Published: June 2016

Tinnitus is an auditory disorder, which affects millions of Americans, including active duty service members and veterans. It is manifested by a phantom sound that is commonly restricted to a specific frequency range. Because tinnitus is associated with hearing deficits, understanding how tinnitus affects hearing perception is important for guiding therapies to improve the quality of life in this vast group of patients. In a rodent model of tinnitus, prolonged exposure to a tone leads to a selective decrease in gap detection in specific frequency bands. However, whether and how hearing acuity is affected for sounds within and outside those frequency bands is not well understood. We induced tinnitus in mice by prolonged exposure to a loud mid-range tone, and behaviorally assayed whether mice exhibited a change in frequency discrimination acuity for tones embedded within the mid-frequency range and high-frequency range at 1, 4, and 8 weeks post-exposure. A subset of tone-exposed mice exhibited tinnitus-like symptoms, as demonstrated by selective deficits in gap detection, which were restricted to the high frequency range. These mice exhibited impaired frequency discrimination both for tones in the mid-frequency range and high-frequency range. The remaining tone exposed mice, which did not demonstrate behavioral evidence of tinnitus, showed temporary deficits in frequency discrimination for tones in the mid-frequency range, while control mice remained unimpaired. Our findings reveal that the high frequency-specific deficits in gap detection, indicative of tinnitus, are associated with impairments in frequency discrimination at the frequency of the presumed tinnitus.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4564173PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0137749PLOS

Publication Analysis

Top Keywords

frequency discrimination
20
gap detection
12
mice exhibited
12
mid-frequency range
12
frequency
10
tinnitus
9
model tinnitus
8
specific frequency
8
frequency range
8
tinnitus associated
8

Similar Publications

Background: Adverse birth outcomes are unfavorable outcomes of pregnancy that are particularly common in low- and middle-income countries. At least one ultrasound is recommended to predict adverse birth outcomes in early pregnancy. However, in low-income countries, imaging equipment and trained manpower are scarce.

View Article and Find Full Text PDF

Targeted plasma metabolomics reveals potential biomarkers of the elderly with mild cognitive impairment in Qingdao rural area.

Front Aging Neurosci

December 2024

Department of Epidemiology and Health Statistics, School of Public Health, Qingdao University, Qingdao, Shandong, China.

Introduction: Previous research has suggested a link between the onset of Alzheimer's disease (AD) and metabolic disorder; however, the findings have been inconsistent. To date, the majority of metabolomics studies have focused on AD, resulting in a relative paucity of research on early-stage conditions such as mild cognitive impairment (MCI) underexplored. In this study, we employed a comprehensive platform for the early screening of individuals with MCI using high-throughput targeted metabolomics.

View Article and Find Full Text PDF

Introduction: Motor Imagery (MI) Electroencephalography (EEG) signals are non-stationary and dynamic physiological signals which have low signal-to-noise ratio. Hence, it is difficult to achieve high classification accuracy. Although various machine learning methods have already proven useful to that effect, the use of many features and ineffective EEG channels often leads to a complex structure of classifier algorithms.

View Article and Find Full Text PDF

Background: AI-CAC provides more actionable information than the Agatston coronary artery calcium (CAC) score. We have recently shown in the MESA (Multi-Ethnic Study of Atherosclerosis) that AI-CAC automated left atrial (LA) volumetry enabled prediction of atrial fibrillation (AF) as early as 1 year.

Objectives: In this study, the authors evaluated the performance of AI-CAC LA volumetry versus LA measured by human experts using cardiac magnetic resonance imaging (CMRI) for predicting incident AF and stroke and compared them with Cohorts for Heart and Aging Research in Genomic Epidemiology model for atrial fibrillation (CHARGE-AF) risk score, Agatston score, and N-terminal pro b-type natriuretic peptide (NT-proBNP).

View Article and Find Full Text PDF

Background/aim: Metastatic patterns are the most convenient and common prediction models for the prognosis of patients with stage IV colorectal cancer. However, current prediction models do not include the severity of metastases in organs and exclude certain types of metastatic patterns. The aim of this study was to develop a prediction model that included several metastatic organs as well as the severity of liver and lung metastases, based on the Japanese Classification of Colorectal, Appendiceal, and Anal Carcinoma: the 3 English Edition.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!