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      Disrupted Human–Dog Interbrain Neural Coupling in Autism‐Associated Shank3 Mutant Dogs

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          Abstract

          Dogs interact with humans effectively and intimately. However, the neural underpinnings for such interspecies social communication are not understood. It is known that interbrain activity coupling, i.e., the synchronization of neural activity between individuals, represents the neural basis of social interactions. Here, previously unknown cross‐species interbrain activity coupling in interacting human–dog dyads is reported. By analyzing electroencephalography signals from both dogs and humans, it is found that mutual gaze and petting induce interbrain synchronization in the frontal and parietal regions of the human–dog dyads, respectively. The strength of the synchronization increases with growing familiarity of the human–dog dyad over five days, and the information flow analysis suggests that the human is the leader while the dog is the follower during human–dog interactions. Furthermore, dogs with Shank3 mutations, which represent a promising complementary animal model of autism spectrum disorders (ASD), show a loss of interbrain coupling and reduced attention during human–dog interactions. Such abnormalities are rescued by the psychedelic lysergic acid diethylamide (LSD). The results reveal previously unknown interbrain synchronizations within an interacting human–dog dyad which may underlie the interspecies communication, and suggest a potential of LSD for the amelioration of social impairment in patients with ASD.

          Abstract

          This study explores interbrain activity coupling during human–dog interactions, revealing that mutual gaze and petting enhance neural synchronization in frontal and parietal regions, respectively. Dogs carrying autism‐linked Shank3 mutations display impaired neural coupling and attention, which are rescued by the psychedelic lysergic acid diethylamide. These findings offer insights into interspecies communication and potential autism therapies.

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          FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data

          This paper describes FieldTrip, an open source software package that we developed for the analysis of MEG, EEG, and other electrophysiological data. The software is implemented as a MATLAB toolbox and includes a complete set of consistent and user-friendly high-level functions that allow experimental neuroscientists to analyze experimental data. It includes algorithms for simple and advanced analysis, such as time-frequency analysis using multitapers, source reconstruction using dipoles, distributed sources and beamformers, connectivity analysis, and nonparametric statistical permutation tests at the channel and source level. The implementation as toolbox allows the user to perform elaborate and structured analyses of large data sets using the MATLAB command line and batch scripting. Furthermore, users and developers can easily extend the functionality and implement new algorithms. The modular design facilitates the reuse in other software packages.
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            Control of goal-directed and stimulus-driven attention in the brain.

            We review evidence for partially segregated networks of brain areas that carry out different attentional functions. One system, which includes parts of the intraparietal cortex and superior frontal cortex, is involved in preparing and applying goal-directed (top-down) selection for stimuli and responses. This system is also modulated by the detection of stimuli. The other system, which includes the temporoparietal cortex and inferior frontal cortex, and is largely lateralized to the right hemisphere, is not involved in top-down selection. Instead, this system is specialized for the detection of behaviourally relevant stimuli, particularly when they are salient or unexpected. This ventral frontoparietal network works as a 'circuit breaker' for the dorsal system, directing attention to salient events. Both attentional systems interact during normal vision, and both are disrupted in unilateral spatial neglect.
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              Partial directed coherence: a new concept in neural structure determination.

              This paper introduces a new frequency-domain approach to describe the relationships (direction of information flow) between multivariate time series based on the decomposition of multivariate partial coherences computed from multivariate autoregressive models. We discuss its application and compare its performance to other approaches to the problem of determining neural structure relations from the simultaneous measurement of neural electrophysiological signals. The new concept is shown to reflect a frequency-domain representation of the concept of Granger causality.
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                Author and article information

                Contributors
                yqzhang@genetics.ac.cn
                Journal
                Adv Sci (Weinh)
                Adv Sci (Weinh)
                10.1002/(ISSN)2198-3844
                ADVS
                Advanced Science
                John Wiley and Sons Inc. (Hoboken )
                2198-3844
                11 September 2024
                November 2024
                : 11
                : 41 ( doiID: 10.1002/advs.v11.41 )
                : 2402493
                Affiliations
                [ 1 ] State Key Laboratory for Molecular Developmental Biology Institute of Genetics and Developmental Biology Chinese Academy of Sciences Beijing 100101 China
                [ 2 ] College of Life Sciences University of Chinese Academy of Sciences Beijing 100049 China
                [ 3 ] Laboratory of Brain Atlas and Brain‐inspired Intelligence Institute of Automation, Chinese Academy of Sciences Beijing 100190 China
                [ 4 ] School of Psychology University of Lincoln Brayford Pool Lincoln LN6 7TS UK
                [ 5 ] State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research Beijing Normal University Beijing 100875 China
                [ 6 ] School of Life Sciences Hubei University Wuhan 430062 China
                Author notes
                Author information
                https://orcid.org/0000-0003-0581-4882
                Article
                ADVS9184
                10.1002/advs.202402493
                11538694
                39257367
                8dbcb137-5c83-48f8-97e0-7ffc209c7d34
                © 2024 The Author(s). Advanced Science published by Wiley‐VCH GmbH

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 13 July 2024
                : 08 March 2024
                Page count
                Figures: 7, Tables: 0, Pages: 12, Words: 8344
                Funding
                Funded by: National Key Research and Development Program , doi 10.13039/501100012166;
                Award ID: 2019YFA0707100
                Award ID: 2021ZD0203901
                Funded by: National Science Foundation of China , doi 10.13039/501100001809;
                Award ID: 31830036
                Award ID: 31921002
                Funded by: Spring City Plan
                Award ID: 2022SCP001
                Categories
                Research Article
                Research Article
                Custom metadata
                2.0
                November 6, 2024
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.5.0 mode:remove_FC converted:06.11.2024

                autism spectrum disorders,human–dog dyads,interbrain neural couplings,lysergic acid diethylamide,shank3

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