DEEP: A dual EEG pipeline for developmental hyperscanning studies

Autor(en)
Ezgi Kayhan, Daniel Matthes, Ira Marriott Haresign, Anna Andrea Bánki, Christine Michel, Miriam Langeloh, Sam Wass, Stefanie Hoehl
Abstrakt

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(en)
Institut für Psychologie der Entwicklung und Bildung
Externe Organisation(en)
Universität Potsdam, Hochschule für Technik, Wirtschaft und Kultur Leipzig, University of East London, Universität Leipzig, Max-Planck-Institut für Kognitions- und Neurowissenschaften, Ruprecht-Karls-Universität Heidelberg
Journal
Developmental Cognitive Neuroscience
Band
54
Seiten
101104
Anzahl der Seiten
11
ISSN
1878-9293
DOI
https://doi.org/10.1016/j.dcn.2022.101104
Publikationsdatum
04-2022
Peer-reviewed
Ja
ÖFOS 2012
301407 Neurophysiologie, 301401 Hirnforschung, 501005 Entwicklungspsychologie
Schlagwörter
ASJC Scopus Sachgebiete
Cognitive Neuroscience
Link zum Portal
https://ucris.univie.ac.at/portal/de/publications/deep-a-dual-eeg-pipeline-for-developmental-hyperscanning-studies(266063bb-ba7d-40cd-8689-5fe67d8fb55d).html