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Background And Objective: Children with hearing loss often have difficulty understanding speech in noisy environments like classrooms, leading to educational and communication challenges. Detecting and discriminating auditory spectro-temporal fundamentals is essential for speech comprehension. So, in this study, we investigated how children with mild to moderate hearing loss (MMHL) process these auditory modulations and their relation to speech perception in noise, comparing their performance to that of children with normal hearing.
Methods: This cross-sectional study selected 31 children with mild to moderate sensorineural hearing loss (SNHL) and 34 normally hearing (NH) children, aged 8 to 12. After obtaining consent, participants underwent tests, including the Spectral Modulation Ripple Test (SMRT), Amplitude Modulation Detection Tests (AMDTs) at 10, 50, and 200 Hz, and Speech Perception in Noise (SPiN) assessments using Word-in-Noise (WIN) and BKB-SIN tests, conducted monaurally. Results were compared between the two groups, evaluating the effects of hearing loss severity and correlations among the tests, as well as score comparisons from both ears within each group.
Results: Significant differences were observed between groups (MMHL and NH) in SMRT, AMDTs, and SPiN tests (p < 0.05), with the NH group scoring better. However, no significant differences were observed between mild and moderate hearing loss (p > 0.05). There was no correlation between SMRT and AMDTs with the WIN test (p > 0.05). Notably, significant correlations were found between SMRT and BKB tests in both groups. Sporadic correlations were also identified between AMDTs at higher rates and BKB results for both groups (p < 0.05). Scores between the two ears showed no significant differences across all tests (p > 0.05).
Conclusion: Children with Mild to moderate SNHL have a lesser ability to use spectral and temporal modulation information, making it difficult for them to understand speech in noisy environments. Nonverbal spectral and temporal modulation tests require minimal cognitive effort and are valuable for evaluating perceptual disorders and developing auditory rehabilitation programs for these children.
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http://dx.doi.org/10.1016/j.ijporl.2025.112330 | DOI Listing |
Introduction: Some medical conditions may be associated with increased risks of collision and poor performance while driving. Traffic crashes could result in fatalities and injuries. The Australian national medical guidelines do not provide specific instructions for all medical conditions.
View Article and Find Full Text PDFCereb Cortex
August 2025
Department of Psychology, University of Lübeck, Ratzeburger Allee 160, Lübeck 23562, Germany.
The human auditory system must distinguish relevant sounds from noise. Severe hearing loss can be treated with cochlear implants (CIs), but how the brain adapts to electrical hearing remains unclear. This study examined adaptation to unilateral CI use in the first and seventh months after CI activation using speech comprehension measures and electroencephalography recordings, both during passive listening and an active spatial listening task.
View Article and Find Full Text PDFMol Biol Rep
September 2025
Cytogenetics and Molecular Genetics Lab, Pathology Unit, Medical Division (BARC Hospital), Bhabha Atomic Research Centre, Anushakti Nagar, Mumbai, India.
Background: Hearing loss (HL) is one of the most common congenital anomalies and is a complex etiologically diverse condition. Molecular genetic characterization of HL remains challenging owing to the high genetic heterogeneity. This study aimed to screen for potential disease-causing genetic variations in a cohort of Indian patients with congenital bilateral severe-to-profound sensorineural HL.
View Article and Find Full Text PDFBrain Behav
September 2025
Radiology Department, Yantaishan Hospital, Yantai, Shandong, China.
Objective: To investigate the characteristics of brain structures in patients with noise-induced hearing loss (NIHL) using source-based morphometry (SBM) and to evaluate the correlation between abnormal brain regions and clinical data.
Methods: High-resolution 3D T1 structural images were acquired from 81 patients with NIHL and 74 age- and education level-matched healthy controls (HCs). The clinical data of all subjects were collected, including noise exposure time, monaural hearing threshold weighted values (MTWVs), Mini-Mental State Examination (MMSE), and Hamilton Anxiety Scale (HAMA) scores.