Oscillatory decoupling differentiates auditory encoding deficits in children with listening problems

Gilley, Phillip M.; Sharma, Mridula; Purdy, Suzanne C.

doi:10.1016/j.clinph.2015.11.003

Cited by 23 publications

(24 citation statements)

References 43 publications

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“…After separating the centroids for the beta and gamma responses (Fig. 7) we observed a distinct pattern of a gamma–beta shift that corroborates findings described in ERP experiments [51, 52] and from local field potentials and single-unit recordings of hippocampal and neocortical pyramidal cells in animal models [39, 53]. Results from animal models suggest that cells initially respond to a stimulus by releasing a burst of activity in the gamma range and then rapidly shift to a burst of slower activity in the beta range (with limitations; see Traub et al [53]).…”

Section: Discussionsupporting

confidence: 88%

“…Evidence for such predictive processing has been eloquently described in a review by Bendixen et al [49]. In that review, the authors present a comprehensive model of predictive processing that (generally) includes a spectral-temporal hierarchy, such as that described by the results in this and other studies [44, 45, 52, 54]. To better understand this process, we must also account for the changes in lower frequency theta components that correspond to the detection of deviant sound.…”

Section: Discussionmentioning

confidence: 84%

“…If beta synchronization occurs via a gamma–beta shift as described above, then we might expect a larger gamma response to a deviant sound, followed by a noticeably larger beta synchronization. The emergence of beta synchronization occurs at some phase relative to a theta oscillator that itself is phase-locked to the expected rate of repetition [52]. It is plausible that the beta wave packet then perturbs this theta oscillator, which we observe as the CFC effect.…”

Section: Discussionmentioning

confidence: 96%

“…From a clinical perspective, we wish to determine whether an infant can discriminate between two speech sounds. As another example, children with auditory processing disorders exhibit deficits in beta coupling observed as shifts in beta synchronization frequencies [52, 54]. A measure such as the MMR TF might provide a means to better classify these deficits, or to provide real-time feedback during assessment.…”

Section: Discussionmentioning

confidence: 99%

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Spectral-temporal EEG dynamics of speech discrimination processing in infants during sleep

et al. 2017

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BackgroundOddball paradigms are frequently used to study auditory discrimination by comparing event-related potential (ERP) responses from a standard, high probability sound and to a deviant, low probability sound. Previous research has established that such paradigms, such as the mismatch response or mismatch negativity, are useful for examining auditory processes in young children and infants across various sleep and attention states. The extent to which oddball ERP responses may reflect subtle discrimination effects, such as speech discrimination, is largely unknown, especially in infants that have not yet acquired speech and language.ResultsMismatch responses for three contrasts (non-speech, vowel, and consonant) were computed as a spectral-temporal probability function in 24 infants, and analyzed at the group level by a modified multidimensional scaling. Immediately following an onset gamma response (30–50 Hz), the emergence of a beta oscillation (12–30 Hz) was temporally coupled with a lower frequency theta oscillation (2–8 Hz). The spectral-temporal probability of this coupling effect relative to a subsequent theta modulation corresponds with discrimination difficulty for non-speech, vowel, and consonant contrast features.DiscussionThe theta modulation effect suggests that unexpected sounds are encoded as a probabilistic measure of surprise. These results support the notion that auditory discrimination is driven by the development of brain networks for predictive processing, and can be measured in infants during sleep. The results presented here have implications for the interpretation of discrimination as a probabilistic process, and may provide a basis for the development of single-subject and single-trial classification in a clinically useful context.ConclusionAn infant’s brain is processing information about the environment and performing computations, even during sleep. These computations reflect subtle differences in acoustic feature processing that are necessary for language-learning. Results from this study suggest that brain responses to deviant sounds in an oddball paradigm follow a cascade of oscillatory modulations. This cascade begins with a gamma response that later emerges as a beta synchronization, which is temporally coupled with a theta modulation, and followed by a second, subsequent theta modulation. The difference in frequency and timing of the theta modulations appears to reflect a measure of surprise. These insights into the neurophysiological mechanisms of auditory discrimination provide a basis for exploring the clinically utility of the MMR TF and other auditory oddball responses.

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Section: Discussionsupporting

confidence: 88%

Section: Discussionmentioning

confidence: 84%

Section: Discussionmentioning

confidence: 96%

Section: Discussionmentioning

confidence: 99%

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Spectral-temporal EEG dynamics of speech discrimination processing in infants during sleep

et al. 2017

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“…Statistical analysis used to compare language group responses in our previous studies accounted for variability in P1-N1-P2 and T-complex amplitudes. Perception, however, is facilitated in the auditory cortex at multiple stages and levels of neural processing (Gilley, Sharma, & Purdy, 2016;Nourski et al, 2015); thus, additional investigations will be necessary to understand the manner in which acoustic-level processing at early cortical stages is enhanced to form nativelanguage patterns of perception in native English and native Polish listeners. For example, in our laboratory, we are currently manipulating the effects of attention on the cortical sensory responses in English and Polish listeners to further explore this question.…”

Section: Variability In the Cortical Sensory Waveforms Of The Aepmentioning

confidence: 99%

Stability of the Cortical Sensory Waveforms, the P1-N1-P2 Complex and T-Complex, of Auditory Evoked Potentials

Wagner

Shafer

Haxhari

et al. 2017

J Speech Lang Hear Res

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Diagnostik auditiver Verarbeitungs- und Wahrnehmungsstörungen bei Kindern

Ptok¹,

Miller²,

Kuhn³

2016

HNO

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Despite normal hearing thresholds in pure tone audiometry, 0.5-1 % of children have difficulty understanding what they hear. An auditory processing disorder (APD) can be assumed, which should be clarified and treated. Based on a selective literature search in the PubMed and Scopus databases using the term "auditory processing disorder", several consensus papers are discussed. Numerous studies on APD have revealed partially contradicting results, thus fueling critical discussion regarding validity and reliability-of specific audiometric APD methods and the APD construct in particular. In order to correctly advise parents and, where necessary, treat affected children, otorhinolaryngologists, phoniatrists, and pediatric audiologists must understand the psychometric properties of applied tests and have knowledge of current discussion. Diagnosis is generally a multistep interdisciplinary process.

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Oscillatory decoupling differentiates auditory encoding deficits in children with listening problems

Cited by 23 publications

References 43 publications

Spectral-temporal EEG dynamics of speech discrimination processing in infants during sleep

Spectral-temporal EEG dynamics of speech discrimination processing in infants during sleep

Stability of the Cortical Sensory Waveforms, the P1-N1-P2 Complex and T-Complex, of Auditory Evoked Potentials

Diagnostik auditiver Verarbeitungs- und Wahrnehmungsstörungen bei Kindern

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