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Article

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

1
Department of Developmental and Educational Psychology, University of Vienna, 1010 Vienna, Austria
2
Max Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany
3
Department of Psychology, University of Essex, Colchester CO4 3SQ, UK
*
Author to whom correspondence should be addressed.
Academic Editors: Chang-Hwan Im and Jose A Antonino-Daviu
Sensors 2021, 21(12), 4075; https://doi.org/10.3390/s21124075
Received: 13 April 2021 / Revised: 2 June 2021 / Accepted: 11 June 2021 / Published: 13 June 2021
(This article belongs to the Special Issue Brain Signals Acquisition and Processing)
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. View Full-Text
Keywords: fNIRS; hyperscanning; synchrony fNIRS; hyperscanning; synchrony
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MDPI and ACS Style

Nguyen, T.; Hoehl, S.; Vrtička, P. A Guide to Parent-Child fNIRS Hyperscanning Data Processing and Analysis. Sensors 2021, 21, 4075. https://doi.org/10.3390/s21124075

AMA Style

Nguyen T, Hoehl S, Vrtička P. A Guide to Parent-Child fNIRS Hyperscanning Data Processing and Analysis. Sensors. 2021; 21(12):4075. https://doi.org/10.3390/s21124075

Chicago/Turabian Style

Nguyen, Trinh, Stefanie Hoehl, and Pascal Vrtička. 2021. "A Guide to Parent-Child fNIRS Hyperscanning Data Processing and Analysis" Sensors 21, no. 12: 4075. https://doi.org/10.3390/s21124075

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