Towards a New Neurobiology of Language

Poeppel, David; Emmorey, Karen; Hickok, Gregory; Pylkkänen, Liina

doi:10.1523/jneurosci.3244-12.2012

Cited by 240 publications

(159 citation statements)

References 54 publications

(58 reference statements)

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“…The bilateral symmetry observed in the production network challenges the suggestion that the dorsal linguistic stream, which is associated with the production system, is strongly lateralized to the left hemisphere (17,50). The lack of lateralized responses is in agreement, however, with several recent publications that report bilaterality in speech production (12,20,(50)(51)(52). A major difference between this study and all others investigating language processing is the production task.…”

Section: Discussionsupporting

confidence: 83%

“…The bilateral STG has also been shown to be involved in speech production and speech comprehension, specifically in the external loop of selfmonitoring, based on studies that distorted the subjects' feedback of their own voices or presented the subjects with alien feedback while they spoke (93,94). More recently, the AG has been shown to be involved with the construction of meaning in its temporal parts (31,50) and with sensorimotor speech transformation in its more parietal parts along the posterior Sylvian fissure (24). In agreement with the notion that these functions are integral to the production as well as the comprehension of speech, our data indicate they share similar response time courses during the processing of the same story.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Coupled neural systems underlie the production and comprehension of naturalistic narrative speech

Silbert

Honey

Simony

et al. 2014

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

314

244

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Neuroimaging studies of language have typically focused on either production or comprehension of single speech utterances such as syllables, words, or sentences. In this study we used a new approach to functional MRI acquisition and analysis to characterize the neural responses during production and comprehension of complex real-life speech. First, using a time-warp based intrasubject correlation method, we identified all areas that are reliably activated in the brains of speakers telling a 15-min-long narrative. Next, we identified areas that are reliably activated in the brains of listeners as they comprehended that same narrative. This allowed us to identify networks of brain regions specific to production and comprehension, as well as those that are shared between the two processes. The results indicate that production of a real-life narrative is not localized to the left hemisphere but recruits an extensive bilateral network, which overlaps extensively with the comprehension system. Moreover, by directly comparing the neural activity time courses during production and comprehension of the same narrative we were able to identify not only the spatial overlap of activity but also areas in which the neural activity is coupled across the speaker's and listener's brains during production and comprehension of the same narrative. We demonstrate widespread bilateral coupling between production-and comprehension-related processing within both linguistic and nonlinguistic areas, exposing the surprising extent of shared processes across the two systems.speech production | speech comprehension | intersubject correlation | brain-to-brain coupling S uccessful verbal communication requires the finely orchestrated interaction between production-based processes in the speaker's brain and comprehension-based processes in the listener's brain. The extent of brain areas involved in the production of real-world speech in a speaker's brain during naturalistic communication is largely unknown. As a result, the degree of overlap between the production and comprehension systems, and the ways in which they interact, remain controversial. This study pursues three aims: (i) to map all areas (including but not limited to sensory, motoric, linguistic, and extralinguistic) that are reliably activated during the production of complex, real-world narrative; (ii) to map the overlap between areas that respond reliably during the production and the comprehension of real-world narrative; and (iii) to assess the coupling between activity in the speaker's brain during naturalistic production and activity in the listener's brain during comprehension of the same narrative. We discuss each challenge in turn.The functional-anatomic architecture underlying the production of speech in an ecological context is incompletely characterized. Studies investigating production-based brain activity have been mainly restricted to the production of single phonemes (1-5), words (6-8), or short phrases in decontextualized, isolated environments (9-13) (see refs. 14...

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Section: Discussionsupporting

confidence: 83%

Section: Discussionmentioning

confidence: 99%

Coupled neural systems underlie the production and comprehension of naturalistic narrative speech

Silbert

Honey

Simony

et al. 2014

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

314

244

View full text Add to dashboard Cite

show abstract

“…The brain imaging studies referred to above have been repeatedly replicated, across many languages, and apply to both spoken, written, and signed languages, and in many cases apply to both perception and production (Poeppel, Emmorey, Hickok, & Pylkkänen, 2012). While the dataset for comparative comparisons is sparser, we have a rather clear conception of what precisely changed during the evolution of the human brain: In addition to a general size expansion, there were particular expansions (both in raw size and in terms of connectivity) of brain regions long known to play an important role in linguistic syntax.…”

Section: Neuroscientific Datamentioning

confidence: 98%

Empirical approaches to the study of language evolution

2017

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The study of language evolution, and human cognitive evolution more generally, has often been ridiculed as unscientific, but in fact it differs little from many other disciplines that investigate past events, such as geology or cosmology. Well-crafted models of language evolution make numerous testable hypotheses, and if the principles of strong inference (simultaneous testing of multiple plausible hypotheses) are adopted, there is an increasing amount of relevant data allowing empirical evaluation of such models. The articles in this special issue provide a concise overview of current models of language evolution, emphasizing the testable predictions that they make, along with overviews of the many sources of data available to test them (emphasizing comparative, neural, and genetic data). The key challenge facing the study of language evolution is not a lack of data, but rather a weak commitment to hypothesistesting approaches and strong inference, exacerbated by the broad and highly interdisciplinary nature of the relevant data. This introduction offers an overview of the field, and a summary of what needed to evolve to provide our species with language-ready brains. It then briefly discusses different contemporary models of language evolution, followed by an overview of different sources of data to test these models. I conclude with my own multistage model of how different components of language could have evolved.

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“…Our investigation is framed within a contemporary model for the neurobiology of language, which is a dual stream model analogous to the model for visual processing (Dick & Tremblay, 2012;Dick, Bernal, & Tremblay, 2013;Hickok & Poeppel, 2007;Poeppel, Emmorey, Hickok, & Pylkkänen, 2012). The dual stream model examines dorsal and ventral processing streams.…”

Section: Contemporary Model Of the Neurobiology Of Languagementioning

confidence: 99%

Fiber Pathways for Language in the Developing Brain: A Diffusion Tensor Imaging (DTI) Study

Broce¹

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The present study characterized two fiber pathways important for language, the superior longitudinal fasciculus/arcuate fasciculus (SLF/AF) and the frontal aslant tract (FAT), and related these tracts to speech, language, and literacy skill in children five to eight years old. We used Diffusion Tensor Imaging (DTI) to characterize the fiber pathways and administered several language assessments. The FAT was identified for the first time in children. Results showed no age-related change in integrity of the FAT, but did show age-related change in the left (but not right) SLF/AF. Moreover, only the integrity of the right FAT was related to phonology but not audiovisual speech perception, articulation, language, or literacy. Both the left and right SLF/AF related to language measures, specifically receptive and expressive language, and language content.These findings are important for understanding the neurobiology of language in the developing brain, and can be incorporated within contemporary dorsal-ventral-motor models for language.

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Towards a New Neurobiology of Language

Cited by 240 publications

References 54 publications

Coupled neural systems underlie the production and comprehension of naturalistic narrative speech

Coupled neural systems underlie the production and comprehension of naturalistic narrative speech

Empirical approaches to the study of language evolution

Fiber Pathways for Language in the Developing Brain: A Diffusion Tensor Imaging (DTI) Study

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