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      Neural synchrony in mother–child conversation: Exploring the role of conversation patterns

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          Abstract

          Conversations are an essential form of communication in daily family life. Specific patterns of caregiver–child conversations have been linked to children’s socio-cognitive development and child-relationship quality beyond the immediate family environment. Recently, interpersonal neural synchronization has been proposed as a neural mechanism supporting conversation. Here, we present a functional near-infrared spectroscopy (fNIRS) hyperscanning study looking at the temporal dynamics of neural synchrony during mother–child conversation. Preschoolers (20 boys and 20 girls, M age 5;07 years) and their mothers ( M age 36.37 years) were tested simultaneously with fNIRS hyperscanning while engaging in a free verbal conversation lasting for 4 min. Neural synchrony (using wavelet transform coherence analysis) was assessed over time. Furthermore, each conversational turn was coded for conversation patterns comprising turn-taking, relevance, contingency and intrusiveness. Results from linear mixed-effects modeling revealed that turn-taking, but not relevance, contingency or intrusiveness predicted neural synchronization during the conversation over time. Results are discussed to point out possible variables affecting parent–child conversation quality and the potential functional role of interpersonal neural synchronization for parent–child conversation.

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          Application of the cross wavelet transform and wavelet coherence to geophysical time series

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            HomER: a review of time-series analysis methods for near-infrared spectroscopy of the brain.

            Near-infrared spectroscopy (NIRS) is a noninvasive neuroimaging tool for studying evoked hemodynamic changes within the brain. By this technique, changes in the optical absorption of light are recorded over time and are used to estimate the functionally evoked changes in cerebral oxyhemoglobin and deoxyhemoglobin concentrations that result from local cerebral vascular and oxygen metabolic effects during brain activity. Over the past three decades this technology has continued to grow, and today NIRS studies have found many niche applications in the fields of psychology, physiology, and cerebral pathology. The growing popularity of this technique is in part associated with a lower cost and increased portability of NIRS equipment when compared with other imaging modalities, such as functional magnetic resonance imaging and positron emission tomography. With this increasing number of applications, new techniques for the processing, analysis, and interpretation of NIRS data are continually being developed. We review some of the time-series and functional analysis techniques that are currently used in NIRS studies, we describe the practical implementation of various signal processing techniques for removing physiological, instrumental, and motion-artifact noise from optical data, and we discuss the unique aspects of NIRS analysis in comparison with other brain imaging modalities. These methods are described within the context of the MATLAB-based graphical user interface program, HomER, which we have developed and distributed to facilitate the processing of optical functional brain data.
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              Time-frequency dynamics of resting-state brain connectivity measured with fMRI.

              Most studies of resting-state functional connectivity using fMRI employ methods that assume temporal stationarity, such as correlation and data-driven decompositions computed across the duration of the scan. However, evidence from both task-based fMRI studies and animal electrophysiology suggests that functional connectivity may exhibit dynamic changes within time scales of seconds to minutes. In the present study, we investigated the dynamic behavior of resting-state connectivity across the course of a single scan, performing a time-frequency coherence analysis based on the wavelet transform. We focused on the connectivity of the posterior cingulate cortex (PCC), a primary node of the default-mode network, examining its relationship with both the "anticorrelated" ("task-positive") network as well as other nodes of the default-mode network. It was observed that coherence and phase between the PCC and the anticorrelated network was variable in time and frequency, and statistical testing based on Monte Carlo simulations revealed the presence of significant scale-dependent temporal variability. In addition, a sliding-window correlation procedure identified other regions across the brain that exhibited variable connectivity with the PCC across the scan, which included areas previously implicated in attention and salience processing. Although it is unclear whether the observed coherence and phase variability can be attributed to residual noise or modulation of cognitive state, the present results illustrate that resting-state functional connectivity is not static, and it may therefore prove valuable to consider measures of variability, in addition to average quantities, when characterizing resting-state networks. Copyright (c) 2009 Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                Journal
                Soc Cogn Affect Neurosci
                Soc Cogn Affect Neurosci
                scan
                Social Cognitive and Affective Neuroscience
                Oxford University Press (UK )
                1749-5016
                1749-5024
                Jan-Feb 2021
                15 June 2020
                15 June 2020
                : 16
                : 1-2 , Interpersonal Synchrony Special Issue
                : 93-102
                Affiliations
                Department of Developmental and Educational Psychology , Faculty of Psychology, University of Vienna , Vienna 1010, Austria
                Cognitive Ethology Laboratory , German Primate Center—Leibniz Institute for Primate Research, Göttingen 37077, Germany
                Department for Primate Cognition , Georg-August-University Göttingen , Göttingen 37073, Germany
                Department of Psychology , Social Origins Lab, University of California , Berkeley, CA 94720-1650, USA
                Department of Developmental Psychology , University of Potsdam , Potsdam 14476, Germany
                Max Planck Institute for Human Cognitive and Brain Sciences , Leipzig 04103, Germany
                Max Planck Institute for Human Cognitive and Brain Sciences , Leipzig 04103, Germany
                Max Planck Institute for Human Cognitive and Brain Sciences , Leipzig 04103, Germany
                Department of Psychology , University of Essex, Wivenhoe Park, Colchester CO4 3SQ, UK
                Department of Developmental and Educational Psychology , Faculty of Psychology, University of Vienna , Vienna 1010, Austria
                Max Planck Institute for Human Cognitive and Brain Sciences , Leipzig 04103, Germany
                Author notes
                Correspondence should be addressed to Trinh Nguyen, Department of Developmental and Educational Psychology, Faculty of Psychology, University of Vienna, Liebiggasse 5, 1010 Vienna, Austria. E-mail: trinh.nguyen@ 123456univie.ac.at .
                Author information
                http://orcid.org/0000-0003-0420-2147
                http://orcid.org/0000-0003-0472-0374
                Article
                nsaa079
                10.1093/scan/nsaa079
                7812624
                32591781
                6eac3935-0a7a-439b-9d86-d591617dc319
                © The Author(s) 2020. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 22 December 2019
                : 02 June 2020
                : 08 June 2020
                Page count
                Pages: 10
                Funding
                Funded by: Deutsche Forschungsgemeinschaft, DOI 10.13039/501100001659;
                Award ID: KA 4926/1-1
                Categories
                Original Manuscript
                AcademicSubjects/SCI01880

                Neurosciences
                turn-taking,mother–child interaction,functional near-infrared spectroscopy,neural synchrony,conversation,hyperscanning

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