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      Gesture's body orientation modulates the N400 for visual sentences primed by gestures

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          Abstract

          Body orientation of gesture entails social‐communicative intention, and may thus influence how gestures are perceived and comprehended together with auditory speech during face‐to‐face communication. To date, despite the emergence of neuroscientific literature on the role of body orientation on hand action perception, limited studies have directly investigated the role of body orientation in the interaction between gesture and language. To address this research question, we carried out an electroencephalography (EEG) experiment presenting to participants ( n = 21) videos of frontal and lateral communicative hand gestures of 5 s (e.g., raising a hand), followed by visually presented sentences that are either congruent or incongruent with the gesture (e.g., “the mountain is high/ low…”). Participants underwent a semantic probe task, judging whether a target word is related or unrelated to the gesture‐sentence event. EEG results suggest that, during the perception phase of handgestures, while both frontal and lateral gestures elicited a power decrease in both the alpha (8–12 Hz) and the beta (16–24 Hz) bands, lateral versus frontal gestures elicited reduced power decrease in the beta band, source‐located to the medial prefrontal cortex. For sentence comprehension, at the critical word whose meaning is congruent/incongruent with the gesture prime, frontal gestures elicited an N400 effect for gesture‐sentence incongruency. More importantly, this incongruency effect was significantly reduced for lateral gestures. These findings suggest that body orientation plays an important role in gesture perception, and that its inferred social‐communicative intention may influence gesture‐language interaction at semantic level.

          Abstract

          We collected EEG when participants process visual sentences primed by frontal and lateral gestures. Lateral gestures elicited reduced beta band power decrease during perception. Additionally, in the visual sentences, the N400 effect, as derived from semantic incongruency between the critical word and the gesture prime, was reduced for lateral gestures.

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          The assessment and analysis of handedness: The Edinburgh inventory

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            Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain.

            An anatomical parcellation of the spatially normalized single-subject high-resolution T1 volume provided by the Montreal Neurological Institute (MNI) (D. L. Collins et al., 1998, Trans. Med. Imag. 17, 463-468) was performed. The MNI single-subject main sulci were first delineated and further used as landmarks for the 3D definition of 45 anatomical volumes of interest (AVOI) in each hemisphere. This procedure was performed using a dedicated software which allowed a 3D following of the sulci course on the edited brain. Regions of interest were then drawn manually with the same software every 2 mm on the axial slices of the high-resolution MNI single subject. The 90 AVOI were reconstructed and assigned a label. Using this parcellation method, three procedures to perform the automated anatomical labeling of functional studies are proposed: (1) labeling of an extremum defined by a set of coordinates, (2) percentage of voxels belonging to each of the AVOI intersected by a sphere centered by a set of coordinates, and (3) percentage of voxels belonging to each of the AVOI intersected by an activated cluster. An interface with the Statistical Parametric Mapping package (SPM, J. Ashburner and K. J. Friston, 1999, Hum. Brain Mapp. 7, 254-266) is provided as a freeware to researchers of the neuroimaging community. We believe that this tool is an improvement for the macroscopical labeling of activated area compared to labeling assessed using the Talairach atlas brain in which deformations are well known. However, this tool does not alleviate the need for more sophisticated labeling strategies based on anatomical or cytoarchitectonic probabilistic maps.
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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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                Author and article information

                Contributors
                yifei.he@staff.uni-marburg.de
                Journal
                Hum Brain Mapp
                Hum Brain Mapp
                10.1002/(ISSN)1097-0193
                HBM
                Human Brain Mapping
                John Wiley & Sons, Inc. (Hoboken, USA )
                1065-9471
                1097-0193
                18 August 2020
                December 2020
                : 41
                : 17 ( doiID: 10.1002/hbm.v41.17 )
                : 4901-4911
                Affiliations
                [ 1 ] Department of Psychiatry and Psychotherapy Philipps‐University Marburg Marburg Germany
                [ 2 ] Department of General Linguistics Johannes‐Gutenberg University Mainz Mainz Germany
                [ 3 ] Department of Neuroscience Max Planck Institute for Empirical Aesthetics Frankfurt Germany
                Author notes
                [*] [* ] Correspondence

                Yifei He, Department of Psychiatry and Psychotherapy, Philipps University Marburg, Rudolf‐Bultmann‐Str. 8, 35039 Marburg, Germany.

                Email: yifei.he@ 123456staff.uni-marburg.de

                Author information
                https://orcid.org/0000-0002-2826-4230
                Article
                HBM25166
                10.1002/hbm.25166
                7643362
                32808721
                d5042189-1282-4f1d-ade1-797b4b5b878c
                © 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

                History
                : 03 July 2020
                : 16 July 2020
                : 23 July 2020
                Page count
                Figures: 4, Tables: 0, Pages: 11, Words: 9536
                Funding
                Funded by: Deutsche Forschungsgemeinschaft , open-funder-registry 10.13039/501100001659;
                Award ID: HE8029/2‐1
                Award ID: STR1146/11‐2
                Award ID: STR1146/15‐1
                Funded by: Von‐Behring‐Röntgen‐Stiftung , open-funder-registry 10.13039/100009103;
                Award ID: 64‐0001
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                December 2020
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.9.3 mode:remove_FC converted:05.11.2020

                Neurology
                beta oscillations,body orientation,gesture,n400,semantics,social perception
                Neurology
                beta oscillations, body orientation, gesture, n400, semantics, social perception

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