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Related Experiment Video

Updated: Dec 6, 2025

How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study

How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study

Published on: September 8, 2021

HyPyP: a Hyperscanning Python Pipeline for inter-brain connectivity analysis.

Anaël Ayrolles^1,2, Florence Brun¹, Phoebe Chen³

¹Department of Neuroscience, Institut Pasteur, Paris, France.

Social Cognitive and Affective Neuroscience

|October 8, 2020

Summary

This summary is machine-generated.

Researchers developed a new open-source software package for analyzing brain-to-brain connectivity during social interactions. This tool standardizes hyperscanning analysis, advancing social neuroscience research.

Keywords:

analysis pipeline hyperscanning inter-brain connectivity non-parametric statistics python

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Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study

Published on: July 21, 2021

Area of Science:

Social Neuroscience
Neuroimaging
Computational Neuroscience

Background:

Traditional social neuroscience often uses a 'stimulus-brain' approach, analyzing brain responses to stimuli without direct social interaction.
A 'brain-to-brain' approach, examining shared neural patterns between individuals, has emerged to study social cognition.
Hyperscanning, simultaneously recording brain activity from multiple people, is increasingly used but lacks standardized analysis methods for inter-brain connectivity.

Purpose of the Study:

To address the lack of standardized analysis techniques for inter-brain connectivity in hyperscanning research.
To provide a comprehensive and user-friendly open-source software package for social neuroscientists.
To facilitate the interpretation of brain-to-brain connectivity during social interactions.

Main Methods:

Development of the Hyperscanning Python Pipeline, an open-source software package.
Implementation of standardized methods for inter-brain connectivity analysis.
Application in both controlled experimental settings and ecologically valid environments.

Main Results:

The Hyperscanning Python Pipeline offers a standardized approach to inter-brain connectivity analysis.
The software package is designed to be comprehensive and easy to use for neuroscientists.
Enables researchers to carry out and interpret analyses of brain activity during social interactions.

Conclusions:

The Hyperscanning Python Pipeline provides a crucial tool for standardizing and advancing social neuroscience research.
Facilitates the study of social interactions through robust inter-brain connectivity analysis.
Promotes wider adoption and comparability of hyperscanning methodologies in the field.