Active clinical trials for "Hearing Loss"

The purpose of this investigation is to demonstrate the safety and effectiveness of MED-EL cochlear implants in children 7 months to 5 years, 11 months of age who fall outside the current FDA-approved candidacy criteria and, yet, continue to demonstrate insufficient functional access to sound with appropriately fit hearing aids and aural habilitation.

The goal of this clinical trial is to investigate the safety and effectiveness of cochlear implantation in infants and toddlers with single-sided deafness. The main questions it aims to answer are: Are cochlear implants an effective treatment of single-sided deafness in infants and toddlers? Are cochlear implants a safe treatment for single-sided deafness in infants and toddlers? Participants will receive a cochlear implant and be followed until they are five years old. During those five years, the investigators will program the device and monitor auditory development. Children will be asked to: Undergo cochlear implantation Wear their cochlear implant processor whenever they are awake. Participate in traditional hearing tests Participate in traditional hearing testing Participate in localization testing Participate in hearing in noise testing Participate in word recognition testing Participate in speech, language, and educational evaluations The researchers will compare results to children with typical hearing in both ears and children with single-sided deafness who have not received an implant to observe any differences between the groups.

Patients with hearing loss who use cochlear implants (CIs) show significant deficits and strong unexplained intersubject variability in their perception and production of spoken emotions in speech. This project will investigate the hypothesis that "cue-weighting", or how patients utilize the different acoustic cues to emotion, accounts for significant variance in emotional communication with CIs. The results will focus on children with CIs, but parallel measures in postlingually deaf adults with CIs will be made, ensuring that results of these studies benefit social communication by CI patients across the lifespan by informing the development of technological innovations and improved clinical protocols.

Hearing aids restore efficiently some auditory functions in age-related hearing loss (ARHL or presbycusis) providing to the elderly an access to oral communication and a return to social life. However, a most of the assessments of their efficacy focus on speech recognition. Spatial hearing and localization are anothers important auditory functions merely evaluated. The purpose of this study is to evaluate the hearing aids benefits for spatial hearing.

The purpose of this study is to investigate several approaches for improving spatial perception and speech intelligibility in multitalker listening situations for hearing-aid users. The hypotheses are that spatial perception and speech intelligibility will be improved by (1) increased high-frequency audibility, (2) speech envelope enhancement, and/or (3) appropriate sound image externalization.

When hearing-impaired listeners are properly aided with a hearing aid (HA) or cochlear implant (CI), they are often able to comfortably maintain a conversation in quiet environments. However, in group environments, such as a large family dinner, restaurant, or other environment where multiple people are talking simultaneously, hearing-impaired listeners have great difficulty participating in conversations and frequently withdraw or avoid the situation. As such, it would be highly beneficial to implement an algorithm into HAs or CIs to remove background talkers ("babble") from the signal to reduce listening effort for the hearing-impaired listener and allow them to converse as if they were in a quiet environment. Although HAs and CIs frequently incorporate noise reduction algorithms, these algorithms are not effective when the background is babble. The problem of removing babble involves segregating speech from speech. Hence, the spectral properties of the signal and noise are extremely similar. Despite these challenges, we developed an algorithm to remove background babble. In the following study will test the ability of cochlear implant users to understand speech with background babble noise using our noise reduction algorithm or no noise reduction algorithm. We hypothesize that CI users will be able to understand significantly more speech in babble noise when using our algorithm.

This study seeks to determine the effectiveness of speech/language teletherapy to address disparities in speech and language outcomes in children who are deaf or hard-of-hearing (D/HH). The investigators will enroll D/HH children aged 0-27 months. 140 children who are publicly insured will be randomized to receive usual clinical care or to be given access to an 18-month course of speech-language teletherapy program. 70 children who are privately insured will also be enrolled and will receive usual care. Children will undergo, at baseline and every 9 months thereafter to a study endpoint of 18 months, for a total of 3 timepoints, a battery of in-person and parent-report assessments designed to provide a comprehensive measurement of the child's auditory function, speech, verbal- and non-verbal communication, spoken language, and quality of life.

This trial will evaluate a multilevel intervention (STAR model) that combines mobile health (mHealth) hearing screening tools with telemedicine technology for specialty care access in rural Kentucky schools. An initial version of the model was used in rural Alaska where telemedicine-based specialty referral improved both proportion of children receiving follow-up and time to follow-up. The refined STAR model will utilize an enhanced mHealth screening protocol that includes tympanometry for the detection of middle ear disease. The STAR model will also include a specialty telemedicine referral process in schools for children who refer school screening.

Adjusting hearing aid user's real ear performance by using probe-microphone technology (real ear measurement, REM) has been a well-known procedure that verifies whether the output of the hearing aid at the eardrum matches the desired prescribed target. Still less than half of audiologists verify hearing aid fitting to match the prescribed target amplification with this technology. Recent studies have demonstrated failures to match the prescribed amplification targets, using exclusively the predictions of the proprietary software. American Speech-Language-Hearing Association (ASHA) and American Academy of Audiology (AAA) have created Best Practice Guidelines that recommend using real-ear measurement (REM) over initial fit approach and also the recent ISO 21388:2020 on hearing aid fitting management recommends the routine use of REM. Still audiologists prefer to rely on the manufacturer's default "first-fit" settings because of the lack of proof over cost-effectiveness and patient outcome in using REM. There are only few publications of varying levels of evidence indicating benefits of REM-fitted hearing aids with respect to patient outcomes that include self-reported listening ability, speech intelligibility in quiet and noise and patients' preference. Our main research question is whether REM-based fitting improves the patient reported outcome measures - PROMs (SSQ, HERE) and performance-based outcome measures (speech-reception threshold in noise) over initial fit approach. An additional research question is whether REM-based fitting improves hearing aid usage (self-reported & log-data report). Eventually, the investigators will calculate the cost-effectiveness of REM-based fitting.

Sensorineural hearing loss (SNHL) is among the most prevalent chronic conditions in aging and has a profoundly negative effect on speech comprehension, leading to increased social isolation, reduced quality of life, and increased risk for the development of dementia in older adulthood. Typical audiological tests and interventions, which focus on measuring and restoring audibility, do not explain the full range of cognitive difficulties that adults with hearing loss experience in speech comprehension. For example, adults with SNHL have to work disproportionally harder to decode acoustically degraded speech. That additional effort is thought to diminish shared executive and attentional resources for higher-level language processes, impacting subsequent comprehension and memory, even when speech is completely intelligible. This phenomenon has been referred to as listening effort (LE). There is a growing understanding that these cognitive factors are a critical and often "hidden effect" of hearing loss. At the same time, the effects of LE on the neural mechanisms of language processing and memory in SNHL are currently not well understood. In order to develop evidence-based assessments and interventions to improve comprehension and memory in SNHL, it is critical that we elucidate the cognitive and neural mechanisms of LE and its consequences for speech comprehension. In this project, we adopt a multi-method approach, combining methods from clinical audiology, psycholinguistics, and cognitive neuroscience to address this gap of knowledge. Specifically, we adopt a novel and innovative method of co-registering pupillometry (a reliable physiological measure of LE) and language-related event-related brain potential (ERP) measures during real-time speech processing to characterize the effects of clear speech (i.e., a listener-oriented speaking style that is spontaneously adopted to improve intelligibility when speakers are aware of a perception difficulty on behalf of the listener) on high-level language processes (e.g., semantic retrieval, syntactic integration) and subsequent speech memory in older adults with SNHL. This innovative work addresses a time-sensitive gap in the literature regarding the identification of objective and reliable markers of specific neurocognitive processes impacted by speech clarity and LE in age-related SNHL.