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, Universität Heidelberg

Journal

Developmental Cognitive Neuroscience

Band

54

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://ucrisportal.univie.ac.at/de/publications/deep-a-dual-eeg-pipeline-for-developmental-hyperscanning-studies(266063bb-ba7d-40cd-8689-5fe67d8fb55d).html