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

Simonyan, Kristina; Fuertinger, Stefan

doi:10.1152/jn.00964.2014

Cited by 69 publications

(75 citation statements)

References 100 publications

(49 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We have demonstrated that phenotype‐ and genotype‐specific structural alterations characterized the clinical diversity of SD, potentially contributing to the pathophysiology of this disorder. As discussed below, these structural abnormalities were identified within the cortical sensorimotor network, as well as in white matter pathways of the speech production network …”

Section: Discussionmentioning

confidence: 95%

Phenotype‐ and genotype‐specific structural alterations in spasmodic dysphonia

et al. 2017

Self Cite

View full text Add to dashboard Cite

Background Spasmodic dysphonia is a focal dystonia characterized by involuntary spasms in the laryngeal muscles that occur selectively during speaking. Although hereditary trends have been reported in up to 16% of patients, the causative etiology of spasmodic dysphonia is unclear, and the influences of various phenotypes and genotypes on disorder pathophysiology are poorly understood. In this study, we examined structural alterations in cortical gray matter and white matter integrity in relationship to different phenotypes and putative genotypes of spasmodic dysphonia to elucidate the structural component of its complex pathophysiology. Methods Eighty-nine patients with spasmodic dysphonia underwent high-resolution magnetic resonance imaging and diffusion-weighted imaging to examine cortical thickness and white matter fractional anisotropy in adductor versus abductor forms (distinct phenotypes) and in sporadic versus familial cases (distinct genotypes). Results Phenotype-specific abnormalities were localized in the left sensorimotor cortex and angular gyrus and the white matter bundle of the right superior corona radiata. Genotype-specific alterations were found in the left superior temporal gyrus, supplementary motor area, and the arcuate portion of the left superior longitudinal fasciculus. Conclusions Our findings suggest that phenotypic differences in spasmodic dysphonia arise at the level of the primary and associative areas of motor control, whereas genotype-related pathophysiological mechanisms may be associated with dysfunction of regions regulating phonological and sensory processing. Identification of structural alterations specific to disorder phenotype and putative genotype provides an important step toward future delineation of imaging markers and potential targets for novel therapeutic interventions for spasmodic dysphonia.

show abstract

Section: Discussionmentioning

confidence: 95%

Phenotype‐ and genotype‐specific structural alterations in spasmodic dysphonia

et al. 2017

Self Cite

View full text Add to dashboard Cite

show abstract

“…The role of SMA in silent reading was especially interesting. Previous research has indicated some degree of functional connectivity between STC and SMA during speech and language tasks (Simonyan et al, ; Timmers et al, ), suggesting that SMA contributes to vocalization and syntax processing when syntax is difficult. But, we also found significant bidirectional connections between SMA and STC during the silent reading condition in which there was no vocalization.…”

Section: Discussionmentioning

confidence: 96%

A functional near‐infrared spectroscopic investigation of speech production during reading

Wan

Hancock

Moon

et al. 2017

Human Brain Mapping

View full text Add to dashboard Cite

This study was designed to test the extent to which speaking processes related to articulation and voicing influence Functional Near Infrared Spectroscopy (fNIRS) measures of cortical hemodynamics and functional connectivity. Participants read passages in three conditions (oral reading, silent mouthing, and silent reading) while undergoing fNIRS imaging. Area under the curve (AUC) analyses of the oxygenated and deoxygenated hemodynamic response function concentration values were compared for each task across five regions of interest. There were significant region main effects for both oxy and deoxy AUC analyses, and a significant region × task interaction for deoxy AUC favoring the oral reading condition over the silent reading condition for two nonmotor regions. Assessment of functional connectivity using Granger Causality revealed stronger networks between motor areas during oral reading and stronger networks between language areas during silent reading. There was no evidence that the hemodynamic flow from motor areas during oral reading compromised measures of language-related neural activity in nonmotor areas. However, speech movements had small, but measurable effects on fNIRS measures of neural connections between motor and nonmotor brain areas across the perisylvian region, even after wavelet filtering. Therefore, researchers studying speech processes with fNIRS should use wavelet filtering during preprocessing to reduce speech motion artifacts, incorporate a nonspeech communication or language control task into the research design, and conduct a connectivity analysis to adequately assess the impact of functional speech on the hemodynamic response across the perisylvian region.

show abstract

“…Speech production is one of the most complex and unique human motor behaviors that dynamically engages over 100 orofacial, laryngeal and respiratory muscles. At the neural level, speech production is possible due to the orchestrated activation of multiple brain networks controlling sound perception, sensorimotor integration, and cognitive processing (Price, ; Fuertinger, Horwitz, & Simonyan, ; Simonyan & Fuertinger, ). A well‐known and long‐accepted hallmark of the organization of speech control is its left‐hemispheric dominance, which is known since the time of Broca (Strauss, Kosaka, & Wada, ; Frost et al, ; Hull & Vaid, ).…”

Section: Introductionmentioning

confidence: 99%

Dopamine drives left‐hemispheric lateralization of neural networks during human speech

Fuertinger

Zinn

Sharan

et al. 2017

J of Comparative Neurology

Self Cite

View full text Add to dashboard Cite

Although the concept of left-hemispheric lateralization of neural processes during speech production has been known since the times of Broca, its physiological underpinnings still remain elusive. We sought to assess the modulatory influences of a major neurotransmitter, dopamine, on hemispheric lateralization during real-life speaking using a multimodal analysis of functional MRI, intracranial EEG recordings, and large-scale neural population simulations based on diffusion-weighted MRI. We demonstrate that speech-induced phasic dopamine release into the dorsal striatum and speech motor cortex exerts direct modulation of neuronal activity in these regions and drives left-hemispheric lateralization of speech production network. Dopamine-induced lateralization of functional activity and networks during speaking is not dependent on lateralization of structural nigro-striatal and nigro-motocortical pathways. Our findings provide the first mechanistic explanation for left-hemispheric lateralization of human speech that is due to left-lateralized dopaminergic modulation of brain activity and functional networks.

show abstract

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

Cited by 69 publications

References 100 publications

Phenotype‐ and genotype‐specific structural alterations in spasmodic dysphonia

Phenotype‐ and genotype‐specific structural alterations in spasmodic dysphonia

A functional near‐infrared spectroscopic investigation of speech production during reading

Dopamine drives left‐hemispheric lateralization of neural networks during human speech

Contact Info

Product

Resources

About