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Hearing is dependent on neural processing of acoustic cues obtained by the left and right ears. Neural signals driven by the two ears are integrated at multiple levels of the central auditory system, which enables animals including humans to perform various functions including localization of a sound source. A natural listening environment typically contains sounds from multiple sources. These sounds can have different spectral and temporal features and occur at either the same or different time. Integration can happen among neural signals elicited by the same or different sounds. The way of integration can greatly affect how individual sounds are sensed and perceived. Functions such as auditory grouping and stream segregation, which are central to establishing coherent auditory images in a complex listening environment, are highly dependent on the way of integration. Binaural hearing is complicated by individual differences and developmental changes in head and pinna shape/size as binaural cues can be affected by these differences and changes. Furthermore, neural processing of binaural cues can be influenced by hearing impairments and the use of hearing aids and cochlear implants. These factors likely require a listener to optimize the use of binaural cues through learning and to use plastic changes in the nervous system to perform the optimization. Great strides have been made in understanding binaural processing in normal and impaired auditory systems. This Research Topic aims to highlight some of the latest findings in the following areas: 1) Animal behavioral and human psychoacoustical studies of binaural hearing; 2) Neural encoding and processing of binaural cues and structural as well as neurophysiological bases of such encoding and processing; 3) Contribution of binaural neural processing to auditory functions such as sound-source localization, binaural fusion, binaural interference, spatial release from masking, auditory grouping, and auditory stream segregation; 4) Computational models of binaural processing; 5) Learning and plastic changes in binaural processing following hearing loss or alterations of acoustic environment and structural as well as physiological bases of these behavioral changes; 6) Clinical aspects of binaural processing including application of processing strategies, including research on the benefits of bilateral cochlear implantation, and the neural correlates thereof
Olfactory dysfunction, also known as anosmia and hyposmia, is one of the most prevalent (80-90%) symptoms reported by patients with COVID-19. Outside the context of COVID-19, chemosensory dysfunction has been associated with decreased quality of life, anxiety, depression, and cognitive impairment. In the setting of COVID-19, decreased sense of smell has been positively associated with mood disorders such as anxiety and depression. The short-term and long-term neuropsychiatric implications of the olfactory dysfunction related to COVID-19 are still largely unexplored. Investigation of the neuropsychiatric sequelae of olfactory dysfunction related to COVID-19 infection is particularly critical to characterize the pathological effects of COVID-19 on brain function and to develop strategies to improve patient’s quality of life and mental wellbeing. In this Research Topic, Frontiers aims to highlight studies that investigate the neuropsychiatric, psychological, and cognitive consequences of COVID-19-related olfactory dysfunction, present current advances in the field, and anticipate health care needs for the development of therapeutic interventions.
In this issue of Otolaryngologic Clinics, guest editors Drs. Anais Rameau and Matthew G. Crowson bring their considerable expertise to the topic of Artificial Intelligence in Otolaryngology. Top experts in the field cover timely topics in the areas of Best Practices, AI Modalities, Implementation and Governance, and Subspecialty AI. - Contains 17 relevant, practice-oriented topics including clinical data/machine learning; generative AI and otolaryngology-head and neck surgery; ethics; AI in otology and neurotology; AI in facial plastic and reconstructive surgery; AI in pediatric otolaryngology; and more. - Provides in-depth clinical reviews on artificial intelligence in otolaryngology, offering actionable insights for clinical practice. - Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.