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

Trinh Nguyen1, Stefanie Hoehl1,2, Pascal Vrtička2,3

  • 1Department of Developmental and Educational Psychology, University of Vienna, 1010 Vienna, Austria.

Sensors (Basel, Switzerland)
|July 2, 2021
PubMed
Summary
This summary is machine-generated.

This guide standardizes functional near-infrared spectroscopy (fNIRS) hyperscanning data analysis for parent-child interactions. It offers reproducible methods to analyze neural synchrony, enhancing research reliability in developmental neuroscience.

Keywords:
fNIRShyperscanningsynchrony

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Area of Science:

  • Neuroscience
  • Developmental Psychology
  • Biomedical Engineering

Background:

  • Functional near-infrared spectroscopy (fNIRS) hyperscanning reveals neural underpinnings of social interaction in parent-child dyads.
  • Standardized analysis protocols are lacking, hindering replicability in developmental hyperscanning research.

Purpose of the Study:

  • To provide a standardized guide for analyzing parent-child fNIRS hyperscanning data using MATLAB and R.
  • To offer reproducible methods for assessing interpersonal neural synchrony in developmental contexts.

Main Methods:

  • Utilized MATLAB toolboxes (Homer2, SPM for fNIRS) for data preprocessing.
  • Calculated interpersonal neural synchrony using Wavelet Transform Coherence (WTC).
  • Employed RStudio with Generalized Linear Mixed Models (GLMM) for robust synchrony analysis, including random pair analysis to control for spurious correlations.

Main Results:

  • Demonstrated a standardized pipeline for fNIRS hyperscanning data analysis in parent-child dyads.
  • Provided example data and analysis scripts for cooperative versus individual problem-solving tasks.
  • Showcased the application of WTC and GLMM for quantifying interpersonal neural synchrony.

Conclusions:

  • The proposed guide enhances the standardization and replicability of parent-child fNIRS hyperscanning studies.
  • Facilitates deeper understanding of the neurobiological basis of social interactions in development.
  • Aims to support future research in developmental neuroscience and social interaction.