Response bias modulates the speech motor system during syllable discrimination

Venezia, Jonathan H.; Saberi, Kourosh; Chubb, Charles; Hickok, Gregory

doi:10.3389/fpsyg.2012.00157

Cited by 62 publications

(59 citation statements)

References 68 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our data demonstrate that, independent of its membership in the dorsal or ventral streams, the IPL is being exclusively recruited into the large-scale functional network controlling speech production but not the resting state. Furthermore, we show that the IPL recruitment is bilateral, as opposed to the proposed left lateralized contribution to the dual-stream model of speech control (Hickok and Poeppel 2007), but similar to the results of recent studies reporting a bilateral involvement of this region in different aspects of speech processing, such as phonological processing (Deschamps et al 2014;Hartwigsen et al 2010), speech-sound discrimination (Venezia et al 2012), silent speech reading (Chu et al 2013), and sensorimotor transformations during overt speech production (Cogan et al 2014). As we have reported earlier, the functional connectivity of the IPL with the LMC may be gradually increasing with the increased complexity of sound production ).…”

Section: Discussionsupporting

confidence: 85%

Speech networks at rest and in action: interactions between functional brain networks controlling speech production

Simonyan

Fuertinger

2015

Journal of Neurophysiology

View full text Add to dashboard Cite

Speech production is one of the most complex human behaviors. Although brain activation during speaking has been well investigated, our understanding of interactions between the brain regions and neural networks remains scarce. We combined seed-based interregional correlation analysis with graph theoretical analysis of functional MRI data during the resting state and sentence production in healthy subjects to investigate the interface and topology of functional networks originating from the key brain regions controlling speech, i.e., the laryngeal/orofacial motor cortex, inferior frontal and superior temporal gyri, supplementary motor area, cingulate cortex, putamen, and thalamus. During both resting and speaking, the interactions between these networks were bilaterally distributed and centered on the sensorimotor brain regions. However, speech production preferentially recruited the inferior parietal lobule (IPL) and cerebellum into the large-scale network, suggesting the importance of these regions in facilitation of the transition from the resting state to speaking. Furthermore, the cerebellum (lobule VI) was the most prominent region showing functional influences on speech-network integration and segregation. Although networks were bilaterally distributed, interregional connectivity during speaking was stronger in the left vs. right hemisphere, which may have underlined a more homogeneous overlap between the examined networks in the left hemisphere. Among these, the laryngeal motor cortex (LMC) established a core network that fully overlapped with all other speech-related networks, determining the extent of network interactions. Our data demonstrate complex interactions of large-scale brain networks controlling speech production and point to the critical role of the LMC, IPL, and cerebellum in the formation of speech production network.

show abstract

Section: Discussionsupporting

confidence: 85%

Speech networks at rest and in action: interactions between functional brain networks controlling speech production

Simonyan

Fuertinger

2015

Journal of Neurophysiology

View full text Add to dashboard Cite

show abstract

“…that requires disambiguation) (Rodd et al, 2005). A recent study has shown that response bias can modulate the speech motor system during speech processing (Venezia et al, 2012). Our findings in the left IFG are unlikely to be driven by response bias, however, because the present 2-alternative forced-choice task was unlikely to become systematically biased (i.e., participants had to choose one of two words on each trial, and the pairs of words differed from trial to trial).…”

Section: Regions Negatively Correlated With Snr (Or Positively With Nmentioning

confidence: 58%

Semantic versus perceptual interactions in neural processing of speech-in-noise

et al. 2013

View full text Add to dashboard Cite

Native listeners make use of higher-level, context-driven semantic and linguistic information during the perception of speech-in-noise. In a recent behavioral study, using a new paradigm that isolated the semantic level of speech by using words, we showed that this native-language benefit is at least partly driven by semantic context (Golestani et al., 2009). Here, we used the same paradigm in a functional magnetic resonance imaging (fMRI) experiment to study the neural bases of speech intelligibility, as well as to study the neural bases of this semantic context effect in the native language. A forced-choice recognition task on the first of two auditorily presented semantically related or unrelated words was employed, where the first, 'target' word was embedded in different noise levels. Results showed that activation in components of the brain language network, including Broca's area and the left posterior superior temporal sulcus, as well as brain regions known to be functionally related to attention and task difficulty, was modulated by stimulus intelligibility. In line with several previous studies examining the role of linguistic context in the intelligibility of degraded speech at the sentence level, we found that activation in the angular gyrus of the left inferior parietal cortex was modulated by the presence of semantic context, and further, that this modulation depended on the intelligibility of the speech stimuli. Our findings help to further elucidate neural mechanisms underlying the interaction of context-driven and signal-driven factors during the perception of degraded speech, and this specifically at the semantic level.© 2013 Elsevier Inc. All rights reserved. IntroductionIn studying the neural implementation of spoken language processing, it is important to consider the complexity of linguistic processes. For example, one can ask how higher-order, semantic versus lower-order, perceptual processes interact during the processing of noisy speech -a phenomenon that is ubiquitous in our daily lives, and how the brain supports the interaction of these complementary cognitive and perceptual dimensions (Mattys et al., 2009). It is known that in one's native language, speech comprehension is often successful even when hearing noisy, or degraded speech (Nabelek and Donahue, 1984;Takata and Nabelek, 1990;van Wijngaarden et al., 2002). Further, using the Speech Perception in Noise (SPIN) paradigm (Bilger et al., 1984;Kalikow et al., 1977), in which the predictability of the final word in sentences is manipulated, it has been shown that this native language advantage can arise from the use of higher-level linguistic, contextual information (Florentine, 1985a;Mayo et al., 1997). These original studies further showed that lower SNRs (or higher noise levels) are associated with a greater context benefit (Mayo et al., 1997). We are thus capable of making use of linguistic context to compensate for poor signal quality. Linguistic context includes semantic and syntactic information, as well as pragmatic and proso...

show abstract

“…Because categorical speech perception requires the listener to maintain sublexical representations in an active state as a metalinguistic judgment is made, it involves some degree of executive control and working memory functions (1). Thus, the linearly prolonged RT and incremental BOLD activity in the PMv, IFG, pSTG, and IPL with increasing task difficulty likely reflect an accumulation of effort-related changes in selective attention (33), phonological working memory (20,(26)(27)(28), or phoneme-category judgment and response selection (5,8,34).…”

Section: Discussionmentioning

confidence: 99%

Noise differentially impacts phoneme representations in the auditory and speech motor systems

Buchsbaum

Grady

et al. 2014

Proc. Natl. Acad. Sci. U.S.A.

210

View full text Add to dashboard Cite

Although it is well accepted that the speech motor system (SMS) is activated during speech perception, the functional role of this activation remains unclear. Here we test the hypothesis that the redundant motor activation contributes to categorical speech perception under adverse listening conditions. In this functional magnetic resonance imaging study, participants identified one of four phoneme tokens (/ba/, /ma/, /da/, or /ta/) under one of six signal-to-noise ratio (SNR) levels (-12, -9, -6, -2, 8 dB, and no noise). Univariate and multivariate pattern analyses were used to determine the role of the SMS during perception of noiseimpoverished phonemes. Results revealed a negative correlation between neural activity and perceptual accuracy in the left ventral premotor cortex and Broca's area. More importantly, multivoxel patterns of activity in the left ventral premotor cortex and Broca's area exhibited effective phoneme categorization when SNR ≥ -6 dB. This is in sharp contrast with phoneme discriminability in bilateral auditory cortices and sensorimotor interface areas (e.g., left posterior superior temporal gyrus), which was reliable only when the noise was extremely weak (SNR > 8 dB). Our findings provide strong neuroimaging evidence for a greater robustness of the SMS than auditory regions for categorical speech perception in noise. Under adverse listening conditions, better discriminative activity in the SMS may compensate for loss of specificity in the auditory system via sensorimotor integration.forward sensorimotor mapping | speech categorization | fMRI | multivariate pattern analysis T he perception and identification of speech signals have traditionally been attributed to the superior temporal cortices (1-3). However, the speech motor system (SMS)-the premotor cortex (PMC) and the posterior inferior frontal gyrus (IFG), including Broca's area-that traditionally supports speech production is also implicated in speech perception tasks as revealed by functional magnetic resonance imaging (fMRI) (4-8), magnetoencephalography (9), electrocorticography in patients (10), and transcranial magnetic stimulation (TMS) (11,12). Although there is little doubt about these redundant representations, contentious debate remains about the role of the SMS in speech perception. The idea of action-based (articulatory) representations of speech tokens was proposed long ago in the motor theory of speech perception (13) and has been revived recently with the discovery of "mirror neurons" (14). However, empirical evidence does not support a strong version of the motor theory (15). Instead, current theories of speech processing posit that the SMS may implement a sensorimotor integration function to facilitate speech perception (2,(16)(17)(18). Specifically, the SMS generates internal models that predict sensory consequences of articulatory gestures under consideration, and such forward predictions are matched with acoustic representations in sensorimotor interface areas located in the left posterior superior temporal gyrus (...

show abstract

Response bias modulates the speech motor system during syllable discrimination

Cited by 62 publications

References 68 publications

Speech networks at rest and in action: interactions between functional brain networks controlling speech production

Speech networks at rest and in action: interactions between functional brain networks controlling speech production

Semantic versus perceptual interactions in neural processing of speech-in-noise

Noise differentially impacts phoneme representations in the auditory and speech motor systems

Contact Info

Product

Resources

About