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Midfrontal Theta Transcranial Alternating Current Stimulation Facilitates Motor Coordination in Dyadic Human–Avatar Interactions

  • Sarah Boukarras*
  • , Duru Gun Özkan
  • , Vanessa Era
  • , Quentin Moreau
  • , Gaetano Tieri
  • , Matteo Candidi
  • *Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Synchronous interpersonal motor interactions require moment-to-moment prediction and proactive monitoring of the partner’s actions. Neurophysiologically, this is highlighted by an enhancement of midfrontal theta (4–7 Hz) oscillations. In this study, we explored the causal role of midfrontal theta for interpersonal motor interactions using transcranial alternating current stimulation (tACS). We implemented a realistic human–avatar interaction task in immersive virtual reality where participants controlled a virtual arm and hand to press a button synchronously with a virtual partner. Participants completed the task while receiving EEG-informed theta (Exper-iment 1) or beta (control frequency, Experiment 2) tACS over the frontal midline, as well as sham stimulation as a control. Results showed that midfrontal theta tACS significantly improved behavioral performance (i.e., reduced interpersonal asynchrony) and participants’ motor strategies (i.e., increased movement times and reduced RTs), whereas beta tACS had no effect on these measures. These results suggest that theta tACS over frontal areas facilitates action monitoring and motor abilities supporting interpersonal interactions.

Original languageEnglish
Pages (from-to)897-915
Number of pages19
JournalJournal of cognitive neuroscience
Volume34
Issue number5
DOIs
Publication statusPublished - 31 Mar 2022
Externally publishedYes

Bibliographical note

Funding Information:
M. C. was funded by the Italian Ministry of Health (Ricerca Finalizzata, Giovani Ricercatori 2016, Protocol Number GR-2016-02361008), and by Sapienza University (https:// dx.doi.org/10.13039/501100004271), grant number: Progetti di Ricerca Grandi 2020, RG120172B8343252. V. E. was supported by the Fondazione Umberto Veronesi.

Publisher Copyright:
© 2021 Massachusetts Institute of Technology.

Funding

M. C. was funded by the Italian Ministry of Health (Ricerca Finalizzata, Giovani Ricercatori 2016, Protocol Number GR-2016-02361008), and by Sapienza University (https:// dx.doi.org/10.13039/501100004271), grant number: Progetti di Ricerca Grandi 2020, RG120172B8343252. V. E. was supported by the Fondazione Umberto Veronesi.

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