Seminars in Hearing最新文献

Listening effort is a long-standing area of interest in auditory cognitive neuroscience. Prior research has used multiple techniques to shed light on the neurophysiological mechanisms underlying listening during challenging conditions. Functional near-infrared spectroscopy (fNIRS) is growing in popularity as a tool for cognitive neuroscience research, and its recent advances offer many potential advantages over other neuroimaging modalities for research related to listening effort. This review introduces the basic science of fNIRS and its uses for auditory cognitive neuroscience. We also discuss its application in recently published studies on listening effort and consider future opportunities for studying effortful listening with fNIRS. After reading this article, the learner will know how fNIRS works and summarize its uses for listening effort research. The learner will also be able to apply this knowledge toward generation of future research in this area.

Knowledge about listening difficulty experienced during a task can be used to better understand speech perception processes, to guide amplification outcomes, and can be used by individuals to decide whether to participate in communication. Another factor affecting these decisions is individuals' emotional response which has not been measured objectively previously. In this study, we describe a novel method of measuring listening difficulty and affect of individuals in adverse listening situations using automatic facial expression algorithm. The purpose of our study was to determine if facial expressions of confusion and frustration are sensitive to changes in listening difficulty. We recorded speech recognition scores, facial expressions, subjective listening effort scores, and subjective emotional responses in 33 young participants with normal hearing. We used the signal-to-noise ratios of -1, +2, and +5 dB SNR and quiet conditions to vary the difficulty level. We found that facial expression of confusion and frustration increased with increase in difficulty level, but not with change in each level. We also found a relationship between facial expressions and both subjective emotion ratings and subjective listening effort. Emotional responses in the form of facial expressions show promise as a measure of affect and listening difficulty. Further research is needed to determine the specific contribution of affect to communication in challenging listening environments.

Listening amidst competing noise taxes one's limited cognitive resources, leading to increased listening effort. As such, there is interest in incorporating a reliable test of listening effort into the clinical test battery. One clinically promising method for measuring listening effort is verbal response time (VRT) because it can be obtained using already-established clinical tasks. In order for widespread implementation of the VRT paradigm, a better understanding of the psychometric properties is needed. The purpose of this work was to improve the understanding of the reliability and sensitivity of the VRT listening task. Using within-subject study designs, we completed a pilot study to evaluate the test-retest reliability (Study 1) and the effects of task instructions and listening condition (Study 2). Preliminary results show that the VRT paradigm enjoys good to excellent test-retest reliability and that neither task instructions nor listening condition meaningfully influence VRT once measurement error is accounted for. Future studies should account for measurement error when considering statistically significant versus meaningful effects of experimental parameters when using listening effort tasks.

This article offers a collection of observations that highlight the value of time course data in pupillometry and points out ways in which these observations create deeper understanding of listening effort. The main message is that listening effort should be considered on a moment-to-moment basis rather than as a singular amount. A review of various studies and the reanalysis of data reveal distinct signatures of effort before a stimulus, during a stimulus, in the moments after a stimulus, and changes over whole experimental testing sessions. Collectively these observations motivate questions that extend beyond the "amount" of effort, toward understanding how long the effort lasts, and how precisely someone can allocate effort at specific points in time or reduce effort at other times. Apparent disagreements between studies are reconsidered as informative lessons about stimulus selection and the nature of pupil dilation as a reflection of decision making rather than the difficulty of sensory encoding.

About one-third of all recently published studies on listening effort have used at least one physiological measure, providing evidence of the popularity of such measures in listening effort research. However, the specific measures employed, as well as the rationales used to justify their inclusion, vary greatly between studies, leading to a literature that is fragmented and difficult to integrate. A unified approach that assesses multiple psychophysiological measures justified by a single rationale would be preferable because it would advance our understanding of listening effort. However, such an approach comes with a number of challenges, including the need to develop a clear definition of listening effort that links to specific physiological measures, customized equipment that enables the simultaneous assessment of multiple measures, awareness of problems caused by the different timescales on which the measures operate, and statistical approaches that minimize the risk of type-I error inflation. This article discusses in detail the various obstacles for combining multiple physiological measures in listening effort research and provides recommendations on how to overcome them.

Response time-based dual-task paradigms are commonly adopted to measure behavioral listening effort. Most extant studies used an all-response approach that included secondary task responses under both correct and incorrect primary task responses during analysis. However, evidence supporting this strategy is limited. Therefore, the current study investigated the potential differences between including all responses versus only including correct responses. Data from two previous studies were reanalyzed. Experiment 1 included 16 listeners and used a dual-task paradigm to examine the effect of introducing background noise on listening effort. Experiment 2 included 19 participants and used a different dual-task paradigm to examine the effect of reverberation and loudspeaker-to-listener distance on listening effort. ANOVA results obtained using both analysis approaches were compared. The all-response and correct-only approaches revealed similar results. However, larger effect sizes and an additional main effect were found with the all-response approach. The current study supports the use of an all-response approach due to its greater sensitivity to changes in behavioral listening effort. However, a correct-only approach could be utilized to suit specific study purposes.

A counseling tool routinely used by pediatric audiologists and early intervention-specialists is the often-named "common sounds audiogram" (CSA). Typically, a child's hearing detection thresholds are plotted on the CSA to indicate that child's audibility of speech and environmental sounds. Importantly, the CSA may be the first item that parents see when their child's hearing loss is explained. Thus, the accuracy of the CSA and its associated counseling information are integral to the parents' understanding of what their child can hear and to the parents' role in the child's future hearing care and interventions. Currently available CSAs were collected from professional societies, early intervention providers, device manufacturers, etc., and analyzed ( n  = 36). Analysis included quantification of sound elements, presence of counseling information, attribution of acoustic measurements, and errors. The analyses show that currently-available CSAs are wildly inconsistent as a group, not scientifically justified, and omit important information for counseling and interpretation. Variations found among currently available CSAs can lead to very different parental interpretations of the impact of a child's hearing loss on his/her access to sounds, especially spoken language. Such variations, presumably, could also lead to different recommendations regarding intervention and hearing devices. Recommendations are outlined for the development of a new, standard CSA.

Numerous studies have shown that children with mild bilateral (MBHL) or unilateral hearing loss (UHL) experience speech perception difficulties in poor acoustics. Much of the research in this area has been conducted via laboratory studies using speech-recognition tasks with a single talker and presentation via earphones and/or from a loudspeaker located directly in front of the listener. Real-world speech understanding is more complex, however, and these children may need to exert greater effort than their peers with normal hearing to understand speech, potentially impacting progress in a number of developmental areas. This article discusses issues and research relative to speech understanding in complex environments for children with MBHL or UHL and implications for real-world listening and understanding.

We review the literature related to Patricia Stelmachowicz's research in pediatric audiology, specifically focusing on the influence of audibility in language development and acquisition of linguistic rules. Pat Stelmachowicz spent her career increasing our awareness and understanding of children with mild to severe hearing loss who use hearing aids. Using a variety of novel experiments and stimuli, Pat and her colleagues produced a robust body of evidence to support the hypothesis that development moderates the role of frequency bandwidth on speech perception, particularly for fricative sounds. The prolific research that came out of Pat's lab had several important implications for clinical practice. First, her work highlighted that children require access to more high-frequency speech information than adults in the detection and identification of fricatives such as /s/ and /z/. These high-frequency speech sounds are important for morphological and phonological development. Consequently, the limited bandwidth of conventional hearing aids may delay the formation of linguistic rules in these two domains for children with hearing loss. Second, it emphasized the importance of not merely applying adult findings to the clinical decision-making process in pediatric amplification. Clinicians should use evidence-based practices to verify and provide maximum audibility for children who use hearing aids to acquire spoken language.