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Neural correlates of non-verbal social interactions: a dual-EEG study

Authors :
Tatjana A. Nazir
Anne Cheylus
Yves Paulignan
Raphaël Fargier
Mathilde Ménoret
Aurore Curie
Vincent des Portes
Léo Varnet
Institut des Sciences cognitives Marc Jeannerod - Laboratoire sur le langage, le cerveau et la cognition (L2C2)
École normale supérieure - Lyon (ENS Lyon)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL)
Université de Lyon-Université de Lyon
Centre de recherche en neurosciences de Lyon (CRNL)
Université Claude Bernard Lyon 1 (UCBL)
Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
Athinoula A. Martinos Center for Biomedical Imaging
Massachusetts General Hospital [Boston]-Harvard Medical School [Boston] (HMS)
Université de Lyon
École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL)
Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)
Centre de recherche en neurosciences de Lyon - Lyon Neuroscience Research Center (CRNL)
Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
Harvard Medical School [Boston] (HMS)-Massachusetts General Hospital [Boston]
Source :
Neuropsychologia, Neuropsychologia, Elsevier, 2014, 55, pp.85-97. ⟨10.1016/j.neuropsychologia.2013.10.001⟩, Neuropsychologia, 2014, 55, pp.85-97. ⟨10.1016/j.neuropsychologia.2013.10.001⟩
Publication Year :
2014
Publisher :
HAL CCSD, 2014.

Abstract

International audience; Successful non-verbal social interaction between human beings requires dynamic and efficient encoding of others' gestures. Our study aimed at identifying neural markers of social interaction and goal variations in a non-verbal task. For this, we recorded simultaneously the electroencephalogram from two participants (dual-EEG), an actor and an observer, and their arm/hand kinematics in a real face-to-face paradigm. The observer watched "biological actions" performed by the human actor and "non-biological actions" performed by a robot. All actions occurred within an interactive or non-interactive context depending on whether the observer had to perform a complementary action or not (e.g., the actor presents a saucer and the observer either places the corresponding cup or does nothing). We analysed the EEG signals of both participants (i.e., beta (~20 Hz) oscillations as an index of cortical motor activity and motor related potentials (MRPs)). We identified markers of social interactions by synchronising EEG to the onset of the actor's movement. Movement kinematics did not differ in the two context conditions and the MRPs of the actor were similar in the two conditions. For the observer, however, an observation-related MRP was measured in all conditions but was more negative in the interactive context over fronto-central electrodes. Moreover, this feature was specific to biological actions. Concurrently, the suppression of beta oscillations was observed in the actor's EEG and the observer's EEG rapidly after the onset of the actor's movement. Critically, this suppression was stronger in the interactive than in the non-interactive context despite the fact that movement kinematics did not differ in the two context conditions. For the observer, this modulation was observed independently of whether the actor was a human or a robot. Our results suggest that acting in a social context induced analogous modulations of motor and sensorimotor regions in observer and actor. Sharing a common goal during an interaction seems thus to evoke a common representation of the global action that includes both actor and observer movements.

Details

Language :
English
ISSN :
00283932 and 18733514
Database :
OpenAIRE
Journal :
Neuropsychologia, Neuropsychologia, Elsevier, 2014, 55, pp.85-97. ⟨10.1016/j.neuropsychologia.2013.10.001⟩, Neuropsychologia, 2014, 55, pp.85-97. ⟨10.1016/j.neuropsychologia.2013.10.001⟩
Accession number :
edsair.doi.dedup.....9d85a8e1f250a5fbfa15a581285be8c4
Full Text :
https://doi.org/10.1016/j.neuropsychologia.2013.10.001⟩