Research Repository

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

Nguyen, Trinh and Hoehl, Stefanie and Vrticka, Pascal (2021) 'A Guide to Parent-Child fNIRS Hyperscanning Data Processing and Analysis.' Sensors, 21 (12). ISSN 1424-8220

[img]
Preview
Text
sensors-21-04075.pdf - Published Version
Available under License Creative Commons Attribution.

Download (3MB) | Preview

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.

Item Type: Article
Uncontrolled Keywords: fNIRS; hyperscanning; synchrony
Divisions: Faculty of Science and Health > Psychology, Department of
Depositing User: Elements
Date Deposited: 14 Jun 2021 13:05
Last Modified: 14 Jun 2021 13:05
URI: http://repository.essex.ac.uk/id/eprint/30595

Actions (login required)

View Item View Item