A Guide to Parent-Child fNIRS Hyperscanning Data Processing and Analysis

Author(s)
Trinh Nguyen, Stefanie Hoehl, Pascal Vrticka
Abstract

The use of functional near-infrared spectroscopy (fNIRS) hyperscanning during naturalistic interactions in parent–child dyads has substantially advanced our understanding of the neurobiological underpinnings of human social interaction. However, despite the rise of developmental hyperscanning studies over the last years, analysis procedures have not yet been standardized and are often individually developed by each research team. This article offers a guide on parent–child fNIRS hyperscanning data analysis in MATLAB and R. We provide an example dataset of 20 dyads assessed during a cooperative versus individual problem-solving task, with brain signal acquired using 16 channels located over bilateral frontal and temporo-parietal areas. We use MATLAB toolboxes Homer2 and SPM for fNIRS to preprocess the acquired brain signal data and suggest a standardized procedure. Next, we calculate interpersonal neural synchrony between dyads using Wavelet Transform Coherence (WTC) and illustrate how to run a random pair analysis to control for spurious correlations in the signal. We then use RStudio to estimate Generalized Linear Mixed Models (GLMM) to account for the bounded distribution of coherence values for interpersonal neural synchrony analyses. With this guide, we hope to offer advice for future parent–child fNIRS hyperscanning investigations and to enhance replicability within the field.

Organisation(s)
Department of Developmental and Educational Psychology
External organisation(s)
University of Essex, Max-Planck-Institut für Kognitions- und Neurowissenschaften
Journal
Sensors
Volume
21
ISSN
1424-8220
DOI
https://doi.org/10.3390/s21124075
Publication date
06-2021
Peer reviewed
Yes
Austrian Fields of Science 2012
301401 Brain research, 501005 Developmental psychology
Portal url
https://ucris.univie.ac.at/portal/en/publications/a-guide-to-parentchild-fnirs-hyperscanning-data-processing-and-analysis(921289dd-fe41-422a-97e2-23d359abcabe).html