DEEP: A dual EEG pipeline for developmental hyperscanning studies

Author(s)
Ezgi Kayhan, Daniel Matthes, Ira Marriott Haresign, Anna Andrea Bánki, Christine Michel, Miriam Langeloh, Sam Wass, Stefanie Hoehl
Abstract

Cutting-edge hyperscanning methods led to a paradigm shift in social neuroscience. It allowed researchers to measure dynamic mutual alignment of neural processes between two or more individuals in naturalistic contexts. The ever-growing interest in hyperscanning research calls for the development of transparent and validated data analysis methods to further advance the field. We have developed and tested a dual electroencephalography (EEG) analysis pipeline, namely DEEP. Following the preprocessing of the data, DEEP allows users to calculate Phase Locking Values (PLVs) and cross-frequency PLVs as indices of inter-brain phase alignment of dyads as well as time-frequency responses and EEG power for each participant. The pipeline also includes scripts to control for spurious correlations. Our goal is to contribute to open and reproducible science practices by making DEEP publicly available together with an example mother-infant EEG hyperscanning dataset.

Organisation(s)
Department of Developmental and Educational Psychology
External organisation(s)
Universität Potsdam, Leipzig University of Applied Sciences, University of East London, Universität Leipzig, Max-Planck-Institut für Kognitions- und Neurowissenschaften, Ruprecht-Karls-Universität Heidelberg
Journal
Developmental Cognitive Neuroscience
Volume
54
No. of pages
11
ISSN
1878-9293
DOI
https://doi.org/10.1016/j.dcn.2022.101104
Publication date
04-2022
Peer reviewed
Yes
Austrian Fields of Science 2012
301407 Neurophysiology, 301401 Brain research, 501005 Developmental psychology
Keywords
ASJC Scopus subject areas
Cognitive Neuroscience
Portal url
https://ucris.univie.ac.at/portal/en/publications/deep-a-dual-eeg-pipeline-for-developmental-hyperscanning-studies(266063bb-ba7d-40cd-8689-5fe67d8fb55d).html