Auditory Gap Detection Research Articles

Neurophysiology of Effortful Listening: Decoupling Motivational Modulation from Task Demands.

In demanding listening situations, a listener's motivational state may affect their cognitive investment. Here, we aim to delineate how domain-specific sensory processing, domain-general neural alpha power, and pupil size as a proxy for cognitive investment encode influences of motivational state under demanding listening. Participants (male and female) performed an auditory gap-detection task while the pupil size and the magnetoencephalogram were simultaneously recorded. Task demand and a listener's motivational state were orthogonally manipulated through changes in gap duration and monetary-reward prospect, respectively. Whereas task difficulty impaired performance, reward prospect enhanced it. The pupil size reliably indicated the modulatory impact of an individual's motivational state. At the neural level, the motivational state did not affect auditory sensory processing directly but impacted attentional postprocessing of an auditory event as reflected in the late evoked-response field and alpha-power change. Both pregap pupil dilation and higher parietal alpha power predicted better performance at the single-trial level. The current data support a framework wherein the motivational state acts as an attentional top-down neural means of postprocessing the auditory input in challenging listening situations.

Tests of human auditory temporal resolution: Simulations of Bayesian threshold estimation for auditory gap detection.

In an attempt to develop tests of auditory temporal resolution using gap detection, we conducted computer simulations of Zippy Estimation by Sequential Testing (ZEST), an adaptive Bayesian threshold estimation procedure, for measuring gap detection thresholds. The results showed that the measures of efficiency and precision of ZEST changed with the mean and standard deviation (SD) of the initial probability density function implemented in ZEST. Appropriate combinations of mean and SD values led to efficient ZEST performance; i.e., the threshold estimates converged to their true values after 10 to 15 trials.

Pupil Size Sensitivity to Listening Demand Depends on Motivational State.

Motivation plays a role when a listener needs to understand speech under acoustically demanding conditions. Previous work has demonstrated pupil-linked arousal being sensitive to both listening demands and motivational state during listening. It is less clear how motivational state affects the temporal evolution of the pupil size and its relation to subsequent behavior. We used an auditory gap detection task (N = 33) to study the joint impact of listening demand and motivational state on the pupil size response and examine its temporal evolution. Task difficulty and a listener's motivational state were orthogonally manipulated through changes in gap duration and monetary reward prospect. We show that participants' performance decreased with task difficulty, but that reward prospect enhanced performance under hard listening conditions. Pupil size increased with both increased task difficulty and higher reward prospect, and this reward prospect effect was largest under difficult listening conditions. Moreover, pupil size time courses differed between detected and missed gaps, suggesting that the pupil response indicates upcoming behavior. Larger pre-gap pupil size was further associated with faster response times on a trial-by-trial within-participant level. Our results reiterate the utility of pupil size as an objective and temporally sensitive measure in audiology. However, such assessments of cognitive resource recruitment need to consider the individual's motivational state.

Neural α Oscillations and Pupil Size Differentially Index Cognitive Demand under Competing Audiovisual Task Conditions.

Cognitive demand is thought to modulate two often used, but rarely combined, measures: pupil size and neural α (8-12 Hz) oscillatory power. However, it is unclear whether these two measures capture cognitive demand in a similar way under complex audiovisual-task conditions. Here we recorded pupil size and neural α power (using electroencephalography), while human participants of both sexes concurrently performed a visual multiple object-tracking task and an auditory gap detection task. Difficulties of the two tasks were manipulated independent of each other. Participants' performance decreased in accuracy and speed with increasing cognitive demand. Pupil size increased with increasing difficulty for both the auditory and the visual task. In contrast, α power showed diverging neural dynamics: parietal α power decreased with increasing difficulty in the visual task, but not with increasing difficulty in the auditory task. Furthermore, independent of task difficulty, within-participant trial-by-trial fluctuations in pupil size were negatively correlated with α power. Difficulty-induced changes in pupil size and α power, however, did not correlate, which is consistent with their different cognitive-demand sensitivities. Overall, the current study demonstrates that the dynamics of the neurophysiological indices of cognitive demand and associated effort are multifaceted and potentially modality-dependent under complex audiovisual-task conditions.SIGNIFICANCE STATEMENT Pupil size and oscillatory α power are associated with cognitive demand and effort, but their relative sensitivity under complex audiovisual-task conditions is unclear, as is the extent to which they share underlying mechanisms. Using an audiovisual dual-task paradigm, we show that pupil size increases with increasing cognitive demands for both audition and vision. In contrast, changes in oscillatory α power depend on the respective task demands: parietal α power decreases with visual demand but not with auditory task demand. Hence, pupil size and α power show different sensitivity to cognitive demands, perhaps suggesting partly different underlying neural mechanisms.

Across-Channel Auditory Gap Detection

In studies of perceptual and neural processing differences between musicians and nonmusicians, participants are typically dichotomized on the basis of personal report of musical experience. The present study relates self-reported musical experience and objectively measured musical aptitude to a skill that is important in music perception: temporal resolution (or acuity). The Advanced Measures of Music Audiation (AMMA) test was used to objectively assess participant musical aptitude, and adaptive psychophysical measurements were obtained to assess temporal resolution on two tasks: within-channel gap detection and across-channel gap detection. Results suggest that musical aptitude measured with the AMMA and self-reporting of music experiences (duration of music instruction) are both related to temporal resolution ability in musicians. The relationship between musical aptitude and/or duration of music training is important to music educators advocating for the benefits of music programs as well as in behavioral and neurophysiological research.

Time-Compressed Speech Identification Is Predicted by Auditory Neural Processing, Perceptuomotor Speed, and Executive Functioning in Younger and Older Listeners.

Older adults typically have difficulty identifying speech that is temporally distorted, such as reverberant, accented, time-compressed, or interrupted speech. These difficulties occur even when hearing thresholds fall within a normal range. Auditory neural processing speed, which we have previously found to predict auditory temporal processing (auditory gap detection), may interfere with the ability to recognize phonetic features as they rapidly unfold over time in spoken speech. Further, declines in perceptuomotor processing speed and executive functioning may interfere with the ability to track, access, and process information. The current investigation examined the extent to which age-related differences in time-compressed speech identification were predicted by auditory neural processing speed, perceptuomotor processing speed, and executive functioning. Groups of normal-hearing (up to 3000Hz) younger and older adults identified 40, 50, and 60% time-compressed sentences. Auditory neural processing speed was defined as the P1 and N1 latencies of click-induced auditory-evoked potentials. Perceptuomotor processing speed and executive functioning were measured behaviorally using the Connections Test. Compared to younger adults, older adults exhibited poorer time-compressed speech identification and slower perceptuomotor processing. Executive functioning, P1 latency, and N1 latency did not differ between age groups. Time-compressed speech identification was independently predicted by P1 latency, perceptuomotor processing speed, and executive functioning in younger and older listeners. Results of model testing suggested that declines in perceptuomotor processing speed mediated age-group differences in time-compressed speech identification. The current investigation joins a growing body of literature suggesting that the processing of temporally distorted speech is impacted by lower-level auditory neural processing and higher-level perceptuomotor and executive processes.

Auditory gap detection: psychometric functions and insights into the underlying neural activity.

The detection of a silent interval or gap provides important insight into temporal processing by the auditory system. Previous research has uncovered a multitude of empirical findings leaving the mechanism of gap detection poorly understood and key issues unresolved. Here, we expand the findings by measuring psychometric functions for a number of conditions including both across-frequency and across-intensity gap detection as a first study of its kind. A model is presented which not only accounts for our findings in a quantitative manner, but also helps frame the body of work on auditory gap research. The model is based on the peripheral response and postulates that the identification of gap requires the detection of activity associated with silence.

24. Biomarker Development in ASD: Electrophysiological Response During Auditory Gap Detection is Associated With Symptom Severity and May Index Excitatory/Inhibitory Imbalance

24. Biomarker Development in ASD: Electrophysiological Response During Auditory Gap Detection is Associated With Symptom Severity and May Index Excitatory/Inhibitory Imbalance

Electrophysiological response during auditory gap detection: Biomarker for sensory and communication alterations in autism spectrum disorder?

ABSTRACTSensory symptoms, including auditory processing deficits, are common in autism spectrum disorder (ASD). Processing of temporal aspects of auditory input is understudied; yet, deficits in this domain could contribute to language-related impairments. In children with ASD and well-matched controls, this study examined electrophysiological response to silent gaps in auditory stimuli. Results revealed attenuated amplitude of the P2 event-related potential (ERP) component in ASD. The P2 amplitude reduction was also associated with sensory, language, and diagnostic features. These results suggest that neural response during auditory gap detection is a promising ASD biomarker that could be useful for stratifying subgroups and evaluating treatment response.

Marking time: The precise measurement of auditory gap detection across the lifespan

Deficits of temporal resolution are thought to contribute to speech understanding in noise difficulties and may be documented using auditory gap detection thresholds (GDTs). It is important to establish the appropriate methods to measure GDTs clinically. We have established GDTs for a variety of stimuli, ages (7-90 years), equipment, degrees of hearing loss, psychophysical paradigms, neurophysiological paradigms, marker relationships (within-channel, across-channel), time points, and presentation ears (left, right, diotic). A number important findings will be discussed: 1. Best stimulus for measurement of GDTs is narrow-band noise. 2. GDTs improve from ages 7 to 9, stabilize between ages 9 and 40, and deteriorate with age thereafter. 3. GDTs may be measured reliably using a variety of equipment. 4. Hearing loss has a minor impact on GDTs. 5. A 2-interval psychophysical paradigm is best for measuring GDTs. 6. GDTs may be documented using the P1-N1-P2 auditory evoked potential. 7. Across-channel GDTs provide different information than within-channel GDTs. 8. GDTs are reliable within and across test sessions. 9. GDTs do not differ across ear conditions. A stable and sensitive measure of temporal resolution that may be used in a clinical setting to assess temporal resolution will be recommended.

Auditory across-channel processing as assessed by monaural and between-ear temporal gap detection tasks

Gap detection is a measure of auditory temporal resolution. Hearing people exhibit acute sensitivity to silent gaps between leading and trailing markers when the two markers are identical or similar in frequency. However, sensitivity to such gaps declines when the two markers are of dissimilar frequencies. To examine the hypothesis that auditory gap detection performance declines during temporal comparisons of activity between different perceptual channels, we conducted monaural and between-ear temporal gap detection tasks. In the latter task, the leading and trailing sinusoidal markers delimiting the gap were presented to separate ears, which are regarded as independent channels, at least up to the superior olivary complex in the auditory brainstem. The between-ear gap detection thresholds were increased, even when the two markers were identical in frequency, and elevated gradually as the frequency difference between the two markers became greater than an octave. Furthermore, the patterns of the across-e...

Auditory gap-in-noise detection behavior in ferrets and humans.

The precise encoding of temporal features of auditory stimuli by the mammalian auditory system is critical to the perception of biologically important sounds, including vocalizations, speech, and music. In this study, auditory gap-detection behavior was evaluated in adult pigmented ferrets (Mustelid putorius furo) using bandpassed stimuli designed to widely sample the ferret’s behavioral and physiological audiogram. Animals were tested under positive operant conditioning, with psychometric functions constructed in response to gap-in-noise lengths ranging from 3 to 270 ms. Using a modified version of this gap-detection task, with the same stimulus frequency parameters, we also tested a cohort of normal-hearing human subjects. Gap-detection thresholds were computed from psychometric curves transformed according to signal detection theory, revealing that for both ferrets and humans, detection sensitivity was worse for silent gaps embedded within low-frequency noise compared with high-frequency or broadband stimuli. Additional psychometric function analysis of ferret behavior indicated effects of stimulus spectral content on aspects of behavioral performance related to decision-making processes, with animals displaying improved sensitivity for broadband gap-in-noise detection. Reaction times derived from unconditioned head-orienting data and the time from stimulus onset to reward spout activation varied with the stimulus frequency content and gap length, as well as the approach-to-target choice and reward location. The present study represents a comprehensive evaluation of gap-detection behavior in ferrets, while similarities in performance with our human subjects confirm the use of the ferret as an appropriate model of temporal processing.

Audiological profile in cases with cerebrovascular accidents

Background: Over the past decades there has been increase demand of audiological complaints coinciding with neurological impairments due to cerebrovascular accidents (CVAs). Most of the cases represent inconsistent responses to acoustic stimuli or total lack of response to sound, documented as auditory agnosia. Aim: The present investigation aims at understanding of potential anatomical co-relates to the involvement of the cortical structure and the processing of auditory stimuli. Materials and Methods: A case series with convenient sampling method included eight cases (six male and two female) with age range 45-55 years with CVA, were taken for this study. Of them two cases were found with lesion in right middle cerebral artery, four cases with left middle cerebral artery and two cases with left posterior cerebral artery lesion confirmed from magnetic resonance imaging scan. Audiological test battery including otoscopy, tuning fork test, pure tone audiometry, speech audiometry, immittance audiometry, dichotic-diotic listening test, auditory brainstem responses, otoacoustic emissions and gap detection tests were carried out including routine ENT evaluation. Results and Conclusion: Result suggests; there is a significant difference in hearing threshold and speech perception in all the eight subjects. The findings and compromised vascular anatomy in all these cases were discussed in this article.

Central auditory processing and migraine: a controlled study.

BackgroundThis study aimed to verify and compare central auditory processing (CAP) performance in migraine with and without aura patients and healthy controls.MethodsForty-one volunteers of both genders, aged between 18 and 40 years, diagnosed with migraine with and without aura by the criteria of “The International Classification of Headache Disorders” (ICDH-3 beta) and a control group of the same age range and with no headache history, were included. Gaps-in-noise (GIN), Duration Pattern test (DPT) and Dichotic Digits Test (DDT) tests were used to assess central auditory processing performance.ResultsThe volunteers were divided into 3 groups: Migraine with aura (11), migraine without aura (15), and control group (15), matched by age and schooling. Subjects with aura and without aura performed significantly worse in GIN test for right ear (p = .006), for left ear (p = .005) and for DPT test (p < .001) when compared with controls without headache, however no significant differences were found in the DDT test for the right ear (p = .362) and for the left ear (p = .190).ConclusionsSubjects with migraine performed worsened in auditory gap detection, in the discrimination of short and long duration. They also presented impairment in the physiological mechanism of temporal processing, especially in temporal resolution and temporal ordering when compared with controls. Migraine could be related to an impaired central auditory processing.Clinical trial registrationResearch Ethics Committee (CEP 0480.10) – UNIFESP

Comparison of two tests of auditory temporal resolution in children with central auditory processing disorder, adults with psychosis, and adult professional musicians

Objective: Evaluate auditory temporal resolution threshold outcomes across three different populations. Design: Two commercially available tests of auditory gap detection (Random gap detection (RGDT) test, and Gaps-in-noise (GIN) test) were administered to all participants. Study sample: Adult professional musicians (APM) (N = 11, age range 28–61 years); children with central auditory processing disorder (CAPD) (N = 22, age range 7.5–17 years); and first episode psychosis patients (FEP) (N = 17, age range 18–48 years). Results: It was not possible to calculate a threshold for the RGDT for 13 of 22 children with CAPD and for 7 of 17 adults with FEP due to response inconsistency. Analysis of variance (ANOVA) excluding cases that produced inconsistent RGDT results showed that only RGDT thresholds differed across groups (F = 8.73, p = 0.001). Three t-tests comparing test means within group revealed statistically significant differences between the gap detection thresholds obtained with the RGDT vs. the GIN for each group. No significant correlations were seen between RGDT and GIN. Conclusion: Lower/better gap detection thresholds and smaller standard deviations were obtained using the GIN in all three groups. Lack of correlation between the two tests suggests that they may measure different processes.

Comparing adaptive procedures for estimating the psychometric function for an auditory gap detection task

A subject's sensitivity to a stimulus variation can be studied by estimating the psychometric function. Generally speaking, three parameters of the psychometric function are of interest: the performance threshold, the slope of the function, and the rate at which attention lapses occur. In the present study, three psychophysical procedures were used to estimate the three-parameter psychometric function for an auditory gap detection task. These were an up-down staircase (up-down) procedure, an entropy-based Bayesian (entropy) procedure, and an updated maximum-likelihood (UML) procedure. Data collected from four young, normal-hearing listeners showed that while all three procedures provided similar estimates of the threshold parameter, the up-down procedure performed slightly better in estimating the slope and lapse rate for 200 trials of data collection. When the lapse rate was increased by mixing in random responses for the three adaptive procedures, the larger lapse rate was especially detrimental to the efficiency of the up-down procedure, and the UML procedure provided better estimates of the threshold and slope than did the other two procedures.

Sensory thresholds obtained from MEG data: Cortical psychometric functions

Sensory sensitivity is typically measured using behavioural techniques (psychophysics), which rely on observers responding to very large numbers of stimulus presentations. Psychophysics can be problematic when working with special populations, such as children or clinical patients who may lack the compliance or cognitive skills to perform the behavioural tasks. We used an auditory gap-detection paradigm to develop an accurate measure of sensory threshold derived from passively-recorded magnetoencephalographic (MEG) data. Auditory evoked responses were elicited by silent gaps of varying durations in an on-going noise stimulus. Source modelling was used to spatially filter the MEG data and sigmoidal 'cortical psychometric functions' relating response amplitude to gap duration were obtained for each individual participant. Fitting the functions with a curve and estimating the gap duration at which the amplitude of the evoked response exceeded one standard deviation of the prestimulus brain activity provided an excellent prediction of psychophysical threshold. Accurate sensory thresholds can therefore be reliably extracted from MEG data recorded while participants listen passively to a stimulus. Because our paradigm required no behavioural task, the method is suitable for studies of populations where variations in cognitive skills or vigilance make traditional psychophysics unsuitable.

Performance of Normal Adults and Children on Central Auditory Diagnostic Tests and Their Corresponding Visual Analogs

It has been suggested that, in order to validate a diagnosis of (C)APD (central auditory processing disorder), testing using direct cross-modal analogs should be performed to demonstrate that deficits exist solely or primarily in the auditory modality (McFarland and Cacace, 1995; Cacace and McFarland, 2005). This modality-specific viewpoint is controversial and not universally accepted (American Speech-Language-Hearing Association [ASHA], 2005; Musiek et al, 2005). Further, no such analogs have been developed to date, and neither the feasibility of such testing in normally functioning individuals nor the concurrent validity of cross-modal analogs has been established. The purpose of this study was to investigate the feasibility of cross-modal testing by examining the performance of normal adults and children on four tests of central auditory function and their corresponding visual analogs. In addition, this study investigated the degree to which concurrent validity of auditory and visual versions of these tests could be demonstrated. An experimental repeated measures design was employed. Participants consisted of two groups (adults, n=10; children, n=10) with normal and symmetrical hearing sensitivity, normal or corrected-to-normal visual acuity, and no family or personal history of auditory/otologic, language, learning, neurologic, or related disorders. Visual analogs of four tests in common clinical use for the diagnosis of (C)APD were developed (Dichotic Digits [Musiek, 1983]; Frequency Patterns [Pinheiro and Ptacek, 1971]; Duration Patterns [Pinheiro and Musiek, 1985]; and the Random Gap Detection Test [RGDT; Keith, 2000]). Participants underwent two 1 hr test sessions separated by at least 1 wk. Order of sessions (auditory, visual) and tests within each session were counterbalanced across participants. ANOVAs (analyses of variance) were used to examine effects of group, modality, and laterality (for the Dichotic/Dichoptic Digits tests) or response condition (for the auditory and visual Frequency Patterns and Duration Patterns tests). Pearson product-moment correlations were used to investigate relationships between auditory and visual performance. Adults performed significantly better than children on the Dichotic/Dichoptic Digits tests. Results also revealed a significant effect of modality, with auditory better than visual, and a significant modality×laterality interaction, with a right-ear advantage seen for the auditory task and a left-visual-field advantage seen for the visual task. For the Frequency Patterns test and its visual analog, results revealed a significant modality×response condition interaction, with humming better than labeling for the auditory version but the reversed effect for the visual version. For Duration Patterns testing, visual performance was significantly poorer than auditory performance. Due to poor test-retest reliability and ceiling effects for the auditory and visual gap-detection tasks, analyses could not be performed. No cross-modal correlations were observed for any test. Results demonstrated that cross-modal testing is at least feasible using easily accessible computer hardware and software. The lack of any cross-modal correlations suggests independent processing mechanisms for auditory and visual versions of each task. Examination of performance in individuals with central auditory and pan-sensory disorders is needed to determine the utility of cross-modal analogs in the differential diagnosis of (C)APD.

Auditory Temporal Gap Detection in Children with and without Auditory Processing Disorder

Auditory gap detection is a measure of temporal acuity. The paradigm comes in two forms, distinguished by whether the sounds bounding the silent period are the same (within channel [WC]) or different (between channel [BC]). The purpose of this study was to test normal children and children referred for auditory processing disorder (APD) assessment, with both gap detection paradigms. Best gap durations (i.e., shortest reliably detected gaps) were measured in a two-interval, two-alternative forced-choice design embedded within a modified method of limits, for both WC and BC paradigms, with stimuli presented at 55 dB HL. Sixteen control children and 20 children referred for APD assessment participated in the study. Of the 20 referred children, 9 were diagnostically positive for APD (APD+), and 11 were negative (APD-). The mean age of children in all three groups was 10-11 yr. Data collected were best gap durations for each paradigm, for each child. Group differences were assessed using Kruskal-Wallis analyses of variance. WC best gap durations were very similar across the three participant groups. BC best gap durations varied significantly between listener groups, with the greatest difference being between controls and APD+ samples. BC best gap durations differed among the listener groups while WC ones did not. This suggests that the relative timing perceptual operations required by the BC task are more susceptible to the perceptual disturbances in APD than is the simple event detection required by the WC task.

Biological Markers of Auditory Gap Detection in Young, Middle-Aged, and Older Adults

The capability of processing rapid fluctuations in the temporal envelope of sound declines with age and this contributes to older adults' difficulties in understanding speech. Although, changes in central auditory processing during aging have been proposed as cause for communication deficits, an open question remains which stage of processing is mostly affected by age related changes. We investigated auditory temporal resolution in young, middle-aged, and older listeners with neuromagnetic evoked responses to gap stimuli with different leading marker and gap durations. Signal components specific for processing the physical details of sound stimuli as well as the auditory objects as a whole were derived from the evoked activity and served as biological markers for temporal processing at different cortical levels. Early oscillatory 40-Hz responses were elicited by the onsets of leading and lagging markers and indicated central registration of the gap with similar amplitude in all three age groups. High-gamma responses were predominantly related to the duration of no-gap stimuli or to the duration of gaps when present, and decreased in amplitude and phase locking with increasing age. Correspondingly, low-frequency activity around 200 ms and later was reduced in middle aged and older participants. High-gamma band, and long-latency low-frequency responses were interpreted as reflecting higher order processes related to the grouping of sound items into auditory objects and updating of memory for these objects. The observed effects indicate that age-related changes in auditory acuity have more to do with higher-order brain functions than previously thought.