Auditory-frontal Channeling in α and β Bands is Altered by Age-related Hearing Loss and Relates to Speech Perception in Noise

Price, Caitlin N.; Alain, Claude; Bidelman, Gavin M.

doi:10.1016/j.neuroscience.2019.10.044

Cited by 38 publications

(40 citation statements)

References 78 publications

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“…7). This is consistent with previous work showing individuals who are more susceptible to lexical influences experience greater processing difficulties parsing concurrent speech (e.g., as in our informational masking condition) (Lam et al, 2017;Price et al, 2019).…”

Section: Discussionsupporting

confidence: 93%

“…Previous EEG studies have similarly shown increased right hemisphere engagement for noisedegraded speech, particularly areas in frontal lobe (Bidelman and Howell, 2016;Mahmud et al, 2020;Price et al, 2019). The current data are at broadly consistent with these previous findings.…”

Section: Discussionsupporting

confidence: 91%

“…5). Alternatively, increased fronto-temporal interactions might increase in situations of degraded sensory input as part of predictive coding or compensatory strategy (Cope et al, 2017;Price et al, 2019). The fact that right IFG differentiated prototypical and boundary stimuli in the clean and informational masking conditions provides additional evidence that right IFG may provide predictive coding, even if it might fail in some conditions.…”

Section: Discussionmentioning

confidence: 99%

“…In the context of degraded speech, we also know that the relative involvement of IFG and AC to speech coding varies with the severity of noise interference (Bidelman and Howell, 2016;Du et al, 2014). Moreover, when masking is introduced in speech tasks, frontal lobe activates bilaterally (Price et al, 2019;Scott et al, 2004), suggesting an integrated network in which frontal regions-particularly IFG for phonetic tasks-helps resolve ambiguity in the signal caused by the masker.…”

Section: Introductionmentioning

confidence: 99%

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Auditory cortex is susceptible to lexical influence as revealed by informational vs. energetic masking of speech categorization

Carter

Bidelman

2020

Preprint

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Speech perception requires the grouping of acoustic information into meaningful phonetic units via the process of categorical perception (CP). Environmental masking influences speech perception and CP. However, it remains unclear at which stage of processing (encoding, decision, or both) masking affects categorization of speech signals. The purpose of this study was to determine whether linguistic interference influences the early acoustic-phonetic conversion process inherent to CP. To this end, we measured source level, event related brain potentials (ERPs) from auditory cortex (AC) and inferior frontal gyrus (IFG) as listeners rapidly categorized speech sounds along a /da/ to /ga/ continuum presented in three listening conditions: quiet, and in the presence of forward (informational masker) and time-reversed (energetic masker) 2-talker babble noise. Maskers were matched in overall SNR and spectral content and thus varied only in their degree of linguistic interference (i.e., informational masking). We hypothesized a differential effect of informational versus energetic masking on behavioral and neural categorization responses, where we predicted increased activation of frontal regions when disambiguating speech from noise, especially during lexical-informational maskers. We found (1) informational masking weakens behavioral speech phoneme identification above and beyond energetic masking; (2) low-level AC activity not only codes speech categories but is susceptible to higher-order lexical interference; (3) identifying speech amidst noise recruits a cross hemispheric circuit (ACleft → IFGright) whose engagement varies according to task difficulty. These findings provide corroborating evidence for top-down influences on the early acoustic-phonetic analysis of speech through a coordinated interplay between frontotemporal brain areas.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionsupporting

confidence: 91%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Auditory cortex is susceptible to lexical influence as revealed by informational vs. energetic masking of speech categorization

Carter

Bidelman

2020

Preprint

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“…We measured functional connectivity between PAC and BS source waveforms using phase transfer entropy (PTE), a measure of nonlinear, directed (causal) signal dependency (Bidelman et al, 2018;Bidelman et al, 2019;Price et al, 2019). For details, see Lobier et al, 2014.…”

Section: Functional Connectivitymentioning

confidence: 99%

Attention reinforces human corticofugal system to aid speech perception in noise

Price

Bidelman

2020

Preprint

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Perceiving speech-in-noise (SIN) demands precise neural coding between brainstem and cortical levels of the hearing system. Attentional processes can then select and prioritize task-relevant cues over competing background noise for successful speech perception. In animal models, brainstem-cortical interplay is achieved via descending corticofugal projections from cortex that shape midbrain responses to behaviorally-relevant sounds. Attentional engagement of corticofugal feedback may assist SIN understanding but has never been confirmed and remains highly controversial in humans. To resolve these issues, we recorded source-level, anatomically constrained brainstem frequency-following responses (FFRs) and cortical event-related potentials (ERPs) to speech via high-density EEG while listeners performed rapid SIN identification tasks. We varied attention with active vs. passive listening scenarios whereas task difficulty was manipulated with additive noise interference. Active listening (but not arousal-control tasks) exaggerated both ERPs and FFRs, confirming attentional gain extends to lower subcortical levels of speech processing. We used functional connectivity to measure the directed strength of coupling between levels and characterize bottom-up vs. top-down (corticofugal) signaling within the auditory brainstem-cortical pathway. While attention strengthened connectivity bidirectionally, corticofugal transmission disengaged under passive (but not active) SIN listening. Our findings (i) show attention enhances neural transcription of speech even prior to cortex and (ii) establish a direct role of the human corticofugal feedback system as an aid to cocktail party speech perception.

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Unique patterns of hearing loss and cognition in older adults’ neural responses to cues for speech recognition difficulty

et al. 2021

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Auditory-frontal Channeling in α and β Bands is Altered by Age-related Hearing Loss and Relates to Speech Perception in Noise

Cited by 38 publications

References 78 publications

Auditory cortex is susceptible to lexical influence as revealed by informational vs. energetic masking of speech categorization

Auditory cortex is susceptible to lexical influence as revealed by informational vs. energetic masking of speech categorization

Attention reinforces human corticofugal system to aid speech perception in noise

Unique patterns of hearing loss and cognition in older adults’ neural responses to cues for speech recognition difficulty

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