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      Broca's cerebral asymmetry reflects gestural communication's lateralisation in monkeys ( Papio anubis)

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          Abstract

          Manual gestures and speech recruit a common neural network, involving Broca’s area in the left hemisphere. Such speech-gesture integration gave rise to theories on the critical role of manual gesturing in the origin of language. Within this evolutionary framework, research on gestural communication in our closer primate relatives has received renewed attention for investigating its potential language-like features. Here, using in vivo anatomical MRI in 50 baboons, we found that communicative gesturing is related to Broca homologue’s marker in monkeys, namely the ventral portion of the Inferior Arcuate sulcus ( IA sulcus). In fact, both direction and degree of gestural communication’s handedness – but not handedness for object manipulation are associated and correlated with contralateral depth asymmetry at this exact IA sulcus portion. In other words, baboons that prefer to communicate with their right hand have a deeper left-than-right IA sulcus, than those preferring to communicate with their left hand and vice versa. Interestingly, in contrast to handedness for object manipulation, gestural communication’s lateralisation is not associated to the Central sulcus depth asymmetry, suggesting a double dissociation of handedness’ types between manipulative action and gestural communication. It is thus not excluded that this specific gestural lateralisation signature within the baboons’ frontal cortex might reflect a phylogenetical continuity with language-related Broca lateralisation in humans.

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          Nonparametric statistical testing of EEG- and MEG-data.

          In this paper, we show how ElectroEncephaloGraphic (EEG) and MagnetoEncephaloGraphic (MEG) data can be analyzed statistically using nonparametric techniques. Nonparametric statistical tests offer complete freedom to the user with respect to the test statistic by means of which the experimental conditions are compared. This freedom provides a straightforward way to solve the multiple comparisons problem (MCP) and it allows to incorporate biophysically motivated constraints in the test statistic, which may drastically increase the sensitivity of the statistical test. The paper is written for two audiences: (1) empirical neuroscientists looking for the most appropriate data analysis method, and (2) methodologists interested in the theoretical concepts behind nonparametric statistical tests. For the empirical neuroscientist, a large part of the paper is written in a tutorial-like fashion, enabling neuroscientists to construct their own statistical test, maximizing the sensitivity to the expected effect. And for the methodologist, it is explained why the nonparametric test is formally correct. This means that we formulate a null hypothesis (identical probability distribution in the different experimental conditions) and show that the nonparametric test controls the false alarm rate under this null hypothesis.
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            The cortical organization of speech processing.

            Despite decades of research, the functional neuroanatomy of speech processing has been difficult to characterize. A major impediment to progress may have been the failure to consider task effects when mapping speech-related processing systems. We outline a dual-stream model of speech processing that remedies this situation. In this model, a ventral stream processes speech signals for comprehension, and a dorsal stream maps acoustic speech signals to frontal lobe articulatory networks. The model assumes that the ventral stream is largely bilaterally organized--although there are important computational differences between the left- and right-hemisphere systems--and that the dorsal stream is strongly left-hemisphere dominant.
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              cocor: A Comprehensive Solution for the Statistical Comparison of Correlations

              A valid comparison of the magnitude of two correlations requires researchers to directly contrast the correlations using an appropriate statistical test. In many popular statistics packages, however, tests for the significance of the difference between correlations are missing. To close this gap, we introduce cocor, a free software package for the R programming language. The cocor package covers a broad range of tests including the comparisons of independent and dependent correlations with either overlapping or nonoverlapping variables. The package also includes an implementation of Zou’s confidence interval for all of these comparisons. The platform independent cocor package enhances the R statistical computing environment and is available for scripting. Two different graphical user interfaces—a plugin for RKWard and a web interface—make cocor a convenient and user-friendly tool.
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                Author and article information

                Contributors
                Role: Reviewing Editor
                Role: Senior Editor
                Journal
                eLife
                Elife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                02 February 2022
                2022
                : 11
                : e70521
                Affiliations
                [1 ] Laboratoire de Psychologie Cognitive, CNRS, Aix-Marseille University ( https://ror.org/01rf5x574) Marseille France
                [2 ] Centre IRMf Institut de Neurosciences de la Timone CNRS, Aix-Marseille University ( https://ror.org/043hw6336) Marseille France
                [3 ] Institut de Neurosciences de la Timone CNRS, Aix-Marseille University ( https://ror.org/043hw6336) Marseille France
                [4 ] Station de Primatologie CNRS-CELPHEDIA ( https://ror.org/02feahw73) Marseille France
                University of Oxford ( https://ror.org/052gg0110) United Kingdom
                University of Oxford ( https://ror.org/052gg0110) United Kingdom
                University of Oxford ( https://ror.org/052gg0110) United Kingdom
                University of Oxford ( https://ror.org/052gg0110) United Kingdom
                ICREA/Universitat de Barcelona ( https://ror.org/021018s57) Spain
                Author information
                https://orcid.org/0000-0002-9728-8316
                https://orcid.org/0000-0002-9505-3978
                https://orcid.org/0000-0003-3754-6747
                Article
                70521
                10.7554/eLife.70521
                8846582
                35108197
                de37cdbb-86f2-4f53-89c0-6aa1209de230
                © 2022, Becker et al

                This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

                History
                : 19 May 2021
                : 01 February 2022
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100010663, H2020 European Research Council;
                Award ID: 716931 - GESTIMAGE - ERC-2016-STG
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001665, Agence Nationale de la Recherche;
                Award ID: ANR-12-PDOC-0014-01
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001665, Agence Nationale de la Recherche;
                Award ID: ANR-16-CONV-0002
                Award Recipient :
                Funded by: Initiative d’Excellence d’Aix-Marseille Université;
                Award ID: A*Midex AMX-19-IET-004
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001665, Agence Nationale de la Recherche;
                Award ID: ANR-17-EURE-0029
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001665, Agence Nationale de la Recherche;
                Award ID: LangPrimate
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001665, Agence Nationale de la Recherche;
                Award ID: ILCB
                Award Recipient :
                Funded by: Initiative d’Excellence d’Aix-Marseille Université;
                Award ID: NeuroMarseille
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001665, Agence Nationale de la Recherche;
                Award ID: NeuroSchool
                Award Recipient :
                The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
                Categories
                Research Article
                Neuroscience
                Custom metadata
                A brain MRI imaging study on brain and manual lateralisation in 50 baboons shows that communicative manual gesturing is related to a Broca's area marker.

                Life sciences
                hemispheric specialisation,gestures,nonhuman primates,language evolution,papio anubis

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