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      The neural oscillatory markers of phonetic convergence during verbal interaction

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          Abstract

          During a conversation, the neural processes supporting speech production and perception overlap in time and, based on context, expectations and the dynamics of interaction, they are also continuously modulated in real time. Recently, the growing interest in the neural dynamics underlying interactive tasks, in particular in the language domain, has mainly tackled the temporal aspects of turn‐taking in dialogs. Besides temporal coordination, an under‐investigated phenomenon is the implicit convergence of the speakers toward a shared phonetic space. Here, we used dual electroencephalography (dual‐EEG) to record brain signals from subjects involved in a relatively constrained interactive task where they were asked to take turns in chaining words according to a phonetic rhyming rule. We quantified participants' initial phonetic fingerprints and tracked their phonetic convergence during the interaction via a robust and automatic speaker verification technique. Results show that phonetic convergence is associated to left frontal alpha/low‐beta desynchronization during speech preparation and by high‐beta suppression before and during listening to speech in right centro‐parietal and left frontal sectors, respectively. By this work, we provide evidence that mutual adaptation of speech phonetic targets, correlates with specific alpha and beta oscillatory dynamics. Alpha and beta oscillatory dynamics may index the coordination of the “when” as well as the “how” speech interaction takes place, reinforcing the suggestion that perception and production processes are highly interdependent and co‐constructed during a conversation.

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          Most cited references67

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          Speaker Verification Using Adapted Gaussian Mixture Models

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            Phase patterns of neuronal responses reliably discriminate speech in human auditory cortex.

            How natural speech is represented in the auditory cortex constitutes a major challenge for cognitive neuroscience. Although many single-unit and neuroimaging studies have yielded valuable insights about the processing of speech and matched complex sounds, the mechanisms underlying the analysis of speech dynamics in human auditory cortex remain largely unknown. Here, we show that the phase pattern of theta band (4-8 Hz) responses recorded from human auditory cortex with magnetoencephalography (MEG) reliably tracks and discriminates spoken sentences and that this discrimination ability is correlated with speech intelligibility. The findings suggest that an approximately 200 ms temporal window (period of theta oscillation) segments the incoming speech signal, resetting and sliding to track speech dynamics. This hypothesized mechanism for cortical speech analysis is based on the stimulus-induced modulation of inherent cortical rhythms and provides further evidence implicating the syllable as a computational primitive for the representation of spoken language.
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              Brain-to-brain coupling: a mechanism for creating and sharing a social world.

              Cognition materializes in an interpersonal space. The emergence of complex behaviors requires the coordination of actions among individuals according to a shared set of rules. Despite the central role of other individuals in shaping one's mind, most cognitive studies focus on processes that occur within a single individual. We call for a shift from a single-brain to a multi-brain frame of reference. We argue that in many cases the neural processes in one brain are coupled to the neural processes in another brain via the transmission of a signal through the environment. Brain-to-brain coupling constrains and shapes the actions of each individual in a social network, leading to complex joint behaviors that could not have emerged in isolation. Copyright © 2011 Elsevier Ltd. All rights reserved.
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                Author and article information

                Journal
                Human Brain Mapping
                Hum Brain Mapp
                Wiley
                1065-9471
                1097-0193
                September 05 2018
                January 2019
                September 21 2018
                January 2019
                : 40
                : 1
                : 187-201
                Affiliations
                [1 ]Center for Translational Neurophysiology of Speech and CommunicationIstituto Italiano di Tecnologia Ferrara Italy
                [2 ]Center for Human TechnologiesIstituto Italiano di Tecnologia Genoa Italy
                [3 ]Section of Human PhysiologyUniversity of Ferrara Ferrara Italy
                [4 ]CNRS, LPLAix Marseille University Aix‐en‐Provence France
                Article
                10.1002/hbm.24364
                6865518
                30240542
                4ff57eb0-dd55-45f3-92fd-51b9dc46be97
                © 2019

                http://onlinelibrary.wiley.com/termsAndConditions#vor

                http://doi.wiley.com/10.1002/tdm_license_1.1

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