TRPA1 deficiency affects cochlear potentials days after noise exposure [0.03%]
TRPA1缺失在噪声暴露后的若干天影响耳蜗电位
Samantha A Radomski,D Susana Llanes-Coronel,Ava M Kruse et al.
Samantha A Radomski et al.
TRPA1 channels are master sensors of tissue damage. We recently showed that, after acoustic trauma, TRPA1 activation in cochlear supporting cells regulates hearing sensitivity and is a component of the temporary threshold shift. In the neon...
Moderate presbycusis boosts audio-visual integration, but not lip-reading [0.03%]
中度听力受损加强了视听整合，但不影响唇读能力
Tanguy Delmas,Mathieu Pham Van Cang,Grégory Gerenton et al.
Tanguy Delmas et al.
In audiological practice, speech comprehension is typically assessed in the auditory modality alone (speech in quiet or noise). However, in real-life communication when the auditory input is degraded - due to noise or hearing loss (HL) - in...
Investigating the causal relationship between circulating inflammatory proteins and tinnitus: Insights from a Mendelian Randomization study [0.03%]
基于孟德尔随机化研究探讨循环炎症蛋白与耳鸣之间的因果关系
Shichun He,Meiqi Wei,Deyu Meng et al.
Shichun He et al.
Tinnitus, a condition characterized by the perception of ringing in the ears, significantly impacts quality of life, yet its underlying biological mechanisms remain poorly understood. Emerging evidence suggests a role for inflammation in ti...
Low level of expression of known deafness genes Kcne1, Kcnj10 or Col4a3 is sufficient to maintain hearing in mice [0.03%]
小鼠已知听力损失基因Kcne1、Kcnj10或Col4a3低表达足以保持听力
Darcey A Kirwin,Nina Treder,Elisa Martelletti et al.
Darcey A Kirwin et al.
Kcne1, Kcnj10 and Col4a3 are all expressed in the stria vascularis where they serve critical roles in generating the endocochlear potential. Mutations in any of these three genes are linked to human deafness syndromes for which there are cu...
Exploring the effect of cadaver head fixation in bone conduction hearing: Insights from finite element modeling [0.03%]
基于有限元模型的人头固定对骨导听觉影响的研究
Jongwoo Lim,Hyun Seong Shin,Ivo Dobrev et al.
Jongwoo Lim et al.
This study investigates the effects of head fixation method on bone conduction (BC) responses using a full head finite element model validated against experimental data. Boundary constraint variables, including fixation strength, location, ...
Effect of stimulus level on speech masking by multitalker noise in a cochlear model [0.03%]
多说话人噪声掩蔽下耳蜗模型中言语识别的困难度与刺激强度的关系研究
Václav Vencovský,Zbyněk Bureš
Václav Vencovský
Previous research shows that intelligibility of speech in noise (SIN) with a constant speech-to-noise ratio (SNR) changes in dependence on overall stimulus level. It has been hypothesized that these changes were associated with nonlinear re...
Investigation of intracochlear electrical fields with spread of excitation and voltage matrix in cochlear implant users and their link to speech perception [0.03%]
电位矩阵和兴奋扩散的颅内电场在人工耳蜗使用者身上的研究及其与言语感知的关系
Pascal Nachtigäller,Tobias Weissgerber,Uwe Baumann et al.
Pascal Nachtigäller et al.
Background: Objective measures and their relation to listening performance are of interest in the study of cochlear implants (CIs). Both spread of excitation (SoE) and the voltage matrix (VM) are objective descriptors of ...
Monocyte-dependent innate immunity prevents severe complications of acute bacterial infection in the middle ear in a murine model [0.03%]
单核细胞依赖的先天性免疫可防止小鼠急性细菌性中耳炎严重并发症发生
Seong Hoon Bae,Heang Ran Park,Hyoyeol Kim et al.
Seong Hoon Bae et al.
Introduction: Acute otitis media (AOM) is a common middle ear infection. The role of immune cells, particularly monocytes, in preventing complications of AOM remains unclear. Therefore, this study aimed to investigate the...
Deep learning models for predicting hearing thresholds based on joint stimulus-frequency otoacoustic emissions and distortion-product otoacoustic emissions [0.03%]
基于联合刺激频率性耳声发射和差频性耳声发射的听力阈值深度学习预测模型
Runyi Xu,Qin Gong
Runyi Xu
According to the dual-source generation hypothesis, stimulus-frequency otoacoustic emissions (SFOAEs) and distortion-product OAEs (DPOAEs) arise from different cochlear mechanisms, and both are capable of characterizing hearing loss. Howeve...
Role of risk factors and their variable types in predicting noise-induced hearing loss using artificial intelligence algorithms [0.03%]
风险因素及其变量类型在利用人工智能算法预测噪声性听力损失中的作用
Zhengheng Zhang,Longteng Jiang,Meibian Zhang et al.
Zhengheng Zhang et al.
Early prediction and warning of occupational noise-induced hearing loss (NIHL) in workers is critical. This study aimed to explore the role of risk factors and their variable types to NIHL prediction through machine learning (ML) techniques...