A Corollary Discharge Circuit in Human Speech

Khalilian-Gourtani, Amirhossein; Wang, Ran; Chen, Xupeng; Yu, Leyao; Dugan, Patricia; Friedman, Daniel; Doyle, Werner; Devinsky, Orrin; Wang, Yao; Flinker, Adeen

doi:10.1101/2022.09.12.507590

Cited by 13 publications

(12 citation statements)

References 62 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…During music listening, this gradient is organized around the left sensorimotor cortex, a hub implicated in feedback signaling during auditory perception (19,41). This region might correspond to area 55b, a proposed keystone of sensorimotor integration critical in both music (42) and speech (43,44) perception. This hub coordinates ventral delta (1.4 Hz) and dorsal beta (20-30 Hz) intrinsic neural dynamics and is hence constitutive of the emergence of audio-motor coupling.…”

Section: Discussionmentioning

confidence: 99%

Neural dynamics of predictive timing and motor engagement in music listening

Zalta

Large

Schön

et al. 2023

Preprint

View full text Add to dashboard Cite

Why do humans spontaneously dance to music? To test the hypothesis that motor dynamics reflect predictive timing during music listening, we built melodies with varying degrees of rhythmic predictability. Magnetoencephalography data showed that while auditory regions track the rhythm of melodies, intrinsic neural dynamics at delta (1.4 Hz) and beta (20-30 Hz) rates in the dorsal auditory pathway embody the experience of groove. Critically, neural dynamics are organized along this pathway in a spectral gradient, with the left sensorimotor cortex acting as a hub coordinating groove-related delta and beta activity. Combined with predictions of a neurodynamic model, this indicate that spontaneous motor engagement during music listening is a manifestation of predictive timing effected by interaction of neural dynamics along the dorsal auditory pathway.

show abstract

Section: Discussionmentioning

confidence: 99%

Neural dynamics of predictive timing and motor engagement in music listening

Zalta

Large

Schön

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…It is important to note that several studies implicate ventral precentral gyrus more strongly than its rostral neighbor IFO in driving suppression and causing compensatory movements during speech. Connectivity analyses of human electrocorticography (ECoG) identified the ventral precentral gyrus as a source of the corollary-discharge signal, peaking prior to articulation and targeting STG (Khalilian-Gourtani et al, 2022). In that study, activity in inferior frontal gyrus preceded activity in precentral gyrus, but the stronger correlate of a motor-to-auditory discharge arose from precentral gyrus.…”

Section: Discussionmentioning

confidence: 99%

Pars opercularis underlies efferent predictions and successful auditory feedback processing in speech: Evidence from left-hemisphere stroke

Beach,

Tang,

Kiran

et al. 2023

Preprint

View full text Add to dashboard Cite

Hearing one's own speech allows for acoustic self-monitoring in real time. Left-hemisphere motor planning regions are thought to give rise to efferent predictions that can be compared to true feedback in sensory cortices, resulting in neural suppression commensurate with the degree of overlap between predicted and actual sensations. Sensory prediction errors thus serve as a possible mechanism of detection of deviant speech sounds, which can then feed back into corrective action, allowing for online control of speech acoustics. The goal of this study was to assess the integrity of this detection-correction circuit in persons with aphasia (PWA) whose left-hemisphere lesions may limit their ability to control variability in speech output. We recorded magnetoencephalography (MEG) while 15 PWA and age-matched controls spoke monosyllabic words and listened to playback of their utterances. From this, we measured speaking-induced suppression of the M100 neural response and related it to lesion profiles and speech behavior. Both speaking-induced suppression and cortical sensitivity to deviance were preserved at the group level in PWA. PWA with more spared tissue in pars opercularis had greater left-hemisphere neural suppression and greater behavioral correction of acoustically deviant pronunciations, whereas sparing of superior temporal gyrus was not related to neural suppression or acoustic behavior. In turn, PWA who made greater corrections had fewer overt speech errors in the MEG task. Thus, the motor planning regions that generate the efferent prediction are integral to performing corrections when that prediction is violated.

show abstract

“…This claim is also supported by research linking deficits in auditory-verbal short-term memory to supramarginal gyrus. 24 Furthermore, multiple studies have shown efference copy in temporal regions, 25,26 a process by which motor regions inform auditory areas of planned outgoing motor commands. Thus, this link between motor and auditory areas might explain the similar latencies observed between sensorimotor cortex and STG.…”

Section: Discussionmentioning

confidence: 99%

Timing and location of speech errors induced by direct cortical stimulation

Kabakoff,

Yu,

Friedman

et al. 2023

Preprint

Self Cite

View full text Add to dashboard Cite

Cortical regions supporting speech production are commonly established using neuroimaging techniques in both research and clinical settings. However, for neurosurgical purposes, structural function is routinely mapped peri-operatively using direct electrocortical stimulation. While this method is the gold standard for identification of eloquent cortical regions to preserve in neurosurgical patients, there is lack of specificity of the actual underlying cognitive processes being interrupted. To address this, we propose mapping the temporal dynamics of speech arrest across peri-sylvian cortices by quantifying the latency between stimulation and speech deficits. In doing so, we are able to distinguish functional roles (e.g., planning versus motor execution). In this retrospective observational study, we analyzed 20 patients (12 female; age range 14-43) with refractory epilepsy who underwent continuous extra-operative intracranial EEG monitoring during an automatic speech task during clinical bed-side language mapping. Latency to speech arrest was calculated as time from stimulation onset to speech arrest onset, controlling for individuals' speech rate. Most motor-based interruptions (87.5% of 96 instances) were in motor cortex with mid-range latencies to speech arrest (median = 0.79 s, 95% CI = 0.55-0.92 s). Speech arrest occurred in numerous regions, with short latencies in supramarginal gyrus (median = 0.49 s, 95% CI = 0.41-0.61 s), superior temporal gyrus (median = 0.55 s, 95% CI = 0.45-0.66 s), and middle temporal gyrus (median = 0.57, 95% CI = 0.43-0.79 s), followed by motor cortex (median = 0.83 s, 95% CI = 0.70-1.17 s) and inferior frontal gyrus (median = 0.90 s, 95% CI = 0.74-0.95 s). Nonparametric testing for speech arrest revealed that region predicted latency, χ^2 "(4)" = 28.798, p < 0.00001; latencies in supramarginal gyrus and in superior temporal gyrus were shorter than in motor cortex (D = 0.48, p = 0.00011; D = 0.38, p = 0.004) and in inferior frontal gyrus (D = 0.46, p < 0.00001; D = 0.35, p = 0.00095). Motor cortex is primarily responsible for motor-based speech interruptions. Latencies to speech arrest in supramarginal gyrus and superior temporal gyrus align with latencies to motor-based speech interruptions in motor cortex, suggesting that stimulating these regions interferes with the outgoing motor execution. The longer latencies to speech arrest in inferior frontal gyrus and in ventral regions of motor cortex suggest that stimulating these areas interrupts planning. These results implicate the ventral specialization of motor cortex for speech planning above and beyond motor execution.

show abstract

A Corollary Discharge Circuit in Human Speech

Cited by 13 publications

References 62 publications

Neural dynamics of predictive timing and motor engagement in music listening

Neural dynamics of predictive timing and motor engagement in music listening

Pars opercularis underlies efferent predictions and successful auditory feedback processing in speech: Evidence from left-hemisphere stroke

Timing and location of speech errors induced by direct cortical stimulation

Contact Info

Product

Resources

About