Neural mechanisms underlying auditory feedback control of speech

Tourville, Jason A.; Reilly, Kevin J.; Guenther, Frank H.

doi:10.1016/j.neuroimage.2007.09.054

Cited by 535 publications

(655 citation statements)

References 89 publications

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“…The subsequent vocal compensation for the change in vocal feedback resulted in a correction of the auditory cortex neural responses back toward the normal vocalization-related neural activity. This suggests that auditory cortex may play a role in vocal feedback monitoring as suggested by earlier studies (Houde et al, 2002;Eliades and Wang, 2008a;Tourville et al, 2008;Behroozmand et al, 2009). This observation is empirically important and conceptually interesting because it reflects the expected events underlying feedback-dependent vocal control.…”

Section: Auditory-vocal Interaction and The Lombard Effectsupporting

confidence: 70%

Neural Correlates of the Lombard Effect in Primate Auditory Cortex

Eliades

Wang²

2012

Journal of Neuroscience

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Speaking is a sensory-motor process that involves constant self-monitoring to ensure accurate vocal production. Self-monitoring of vocal feedback allows rapid adjustment to correct perceived differences between intended and produced vocalizations. One important behavior in vocal feedback control is a compensatory increase in vocal intensity in response to noise masking during vocal production, commonly referred to as the Lombard effect. This behavior requires mechanisms for continuously monitoring auditory feedback during speaking. However, the underlying neural mechanisms are poorly understood. Here we show that when marmoset monkeys vocalize in the presence of masking noise that disrupts vocal feedback, the compensatory increase in vocal intensity is accompanied by a shift in auditory cortex activity toward neural response patterns seen during vocalizations under normal feedback condition. Furthermore, we show that neural activity in auditory cortex during a vocalization phrase predicts vocal intensity compensation in subsequent phrases. These observations demonstrate that the auditory cortex participates in self-monitoring during the Lombard effect, and may play a role in the compensation of noise masking during feedback-mediated vocal control.

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Section: Auditory-vocal Interaction and The Lombard Effectsupporting

confidence: 70%

Neural Correlates of the Lombard Effect in Primate Auditory Cortex

Eliades

Wang²

2012

Journal of Neuroscience

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“…Although the observable behavior might be somewhat different between these two parameters in the current experiment, the underlying neural circuitry and mechanism of formant compensation and processing delayed auditory feedback have been reported to be similar [Formant perturbation, e.g., Niziolek and Guenther (2013), Zheng et al (2013); Delayed auditory feedback, e.g., Hashimoto and Sakai (2003), Takaso et al (2010)]. There does not appear to be a large difference in how quickly behavioral responses are observed for formant perturbations (e.g., approximately 165 ms by Tourville et al, 2008) and intensity perturbations (e.g., approximately 130 ms by Bauer et al, 2006). The shared neural circuitry along with similar latencies does not necessarily mean that the two parameters are functionally coupled; further examinations are needed to help understand the interplay of formant and voice amplitude control.…”

Section: Discussionsupporting

confidence: 58%

“…II C). Given that the vocalic duration of the tested word was generally less than a few hundred milliseconds, and that at least 165 ms is needed for on-going feedback-based corrective responses (e.g., approximately 165 ms in their shift up condition by Tourville et al, 2008), it is uncertain that delays much longer than 100 ms would still elicit compensation production via feedforward updating. Further experiments are needed to directly examine this.…”

Section: Discussionmentioning

confidence: 99%

Modulation of auditory-motor learning in response to formant perturbation as a function of delayed auditory feedback

Mitsuya

Munhall

Purcell

2017

The Journal of the Acoustical Society of America

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The interaction of language production and perception has been substantiated by empirical studies where speakers compensate their speech articulation in response to the manipulated sound of their voice heard in real-time as auditory feedback. A recent study by Max and Maffett [(2015). Neurosci. Lett. 591,[25][26][27][28][29] reported an absence of compensation (i.e., auditory-motor learning) for frequency-shifted formants when auditory feedback was delayed by 100 ms. In the present study, the effect of auditory feedback delay was studied when only the first formant was manipulated while delaying auditory feedback systematically. In experiment 1, a small yet significant compensation was observed even with 100 ms of auditory delay unlike the past report. This result suggests that the tolerance of feedback delay depends on different types of auditory errors being processed. In experiment 2, it was revealed that the amount of formant compensation had an inverse linear relationship with the amount of auditory delay. One of the speculated mechanisms to account for these results is that as auditory delay increases, undelayed (and unperturbed) somatosensory feedback is given more preference for accuracy control of vowel formants.

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“…STG serves as functional integration area with partial overlap between speech perception and production mechanisms (Price, 2012). This functional overlap makes STG uniquely suited to detect and integrate auditory feedback during speech production (Behroozmand et al., 2015, 2016; Hickok & Poeppel, 2007; Parkinson et al., 2012; Paus, Perry, Zatorre, Worsley, & Evans, 1996; Tourville & Guenther, 2011; Tourville, Reilly, & Guenther, 2008). The STG cluster identified in the present study corresponds closely to an anterolateral region of Heschl's gyrus that electrocorticography data has linked to online voice error correction following rapid perturbations in auditory feedback (Behroozmand et al., 2016).…”

Section: Discussionmentioning

confidence: 99%

Altered resting‐state functional connectivity of the putamen and internal globus pallidus is related to speech impairment in Parkinson's disease

et al. 2018

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IntroductionSpeech impairment in Parkinson's disease (PD) is pervasive, with life‐impacting consequences. Yet, little is known about how functional connections between the basal ganglia and cortex relate to PD speech impairment (PDSI). Whole‐brain resting‐state connectivity analyses of basal ganglia nuclei can expand the understanding of PDSI pathophysiology.MethodsResting‐state data from 89 right‐handed subjects were downloaded from the Parkinson's Progression Markers Initiative database. Subjects included 12 older healthy controls (“OHC”), 42 PD patients without speech impairment (“PDN”), and 35 PD subjects with speech impairment (“PDSI”). Subjects were assigned to PDN and PDSI groups based on the Movement Disorders Society Unified Parkinson's Disease Rating Scale (MDS‐UPDRS) Part III speech item scores (“0” vs. “1–4”). Whole‐brain functional connectivity was calculated for four basal ganglia seeds in each hemisphere: putamen, caudate, external globus pallidus (GPe), and internal globus pallidus (GPi). For each seed region, group‐averaged connectivity maps were compared among OHC, PDN, and PDSI groups using a multivariate ANCOVA controlling for the effects of age and sex. Subsequent planned pairwise t‐tests were performed to determine differences between the three groups using a voxel‐wise threshold of p < 0.001 and cluster‐extent threshold of 272 mm3 (FWE<0.05).ResultsIn comparison with OHCs, both PDN and PDSI groups demonstrated significant differences in cortical connectivity with bilateral putamen, bilateral GPe, and right caudate. Compared to the PDN group, the PDSI subjects demonstrated significant differences in cortical connectivity with left putamen and left GPi. PDSI subjects had lower connectivity between the left putamen and left superior temporal gyrus compared to PDN. In addition, PDSI subjects had greater connectivity between left GPi and three cortical regions: left dorsal premotor/laryngeal motor cortex, left angular gyrus, and right angular gyrus.ConclusionsThe present findings suggest that speech impairment in PD is associated with altered cortical connectivity with left putamen and left GPi.

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Neural mechanisms underlying auditory feedback control of speech

Cited by 535 publications

References 89 publications

Neural Correlates of the Lombard Effect in Primate Auditory Cortex

Neural Correlates of the Lombard Effect in Primate Auditory Cortex

Modulation of auditory-motor learning in response to formant perturbation as a function of delayed auditory feedback

Altered resting‐state functional connectivity of the putamen and internal globus pallidus is related to speech impairment in Parkinson's disease

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