Related Experiment Video
Updated: Jan 5, 2026

04:44
Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study
Published on: July 21, 2021
4.8K
Hyperscanning of Interactive Juggling: Expertise Influence on Source Level Functional Connectivity.
David B Stone1,2, Gabriella Tamburro1,2, Edson Filho3
1BIND - Behavioral Imaging and Neural Dynamics Center, University "G. d'Annunzio" of Chieti-Pescara, Chieti, Italy.
Frontiers in Human Neuroscience
|October 18, 2019
Summary
This study used electroencephalography (EEG) hyperscanning to examine brain connectivity during juggling. Skill level impacts how brains connect, with matched pairs showing distinct patterns compared to unmatched pairs during interactive tasks.
Area of Science:
- Neuroscience
- Cognitive Science
- Motor Control
Background:
- Hyperscanning enables simultaneous brain activity recording from multiple individuals.
- Investigating interpersonal neurodynamics during interactive tasks is crucial for understanding social cognition and motor coordination.
Purpose of the Study:
- To explore functional brain connectivity differences during individual versus interactive juggling using electroencephalography (EEG) hyperscanning.
- To assess the impact of skill-level matching within dyads on inter-brain dynamics during a motor task.
Main Methods:
- Dyadic juggling paradigm combined with EEG hyperscanning.
- Application of graph theoretical measures to analyze functional connectivity.
- Comparison of skill-level matched and unmatched juggler pairs.
Main Results:
- Global efficiency changes with skill level during paired juggling (decreased for less skilled, increased for more skilled).
- Skill-matched pairs showed reduced mean clustering coefficient and small-world topology during interactive juggling.
- Hemispheric lateralization differed: matched pairs showed right-hemisphere dominance, unmatched pairs showed left-hemisphere dominance.
Conclusions:
- Individual and interactive juggling exhibit distinct functional brain network patterns.
- Skill similarity within dyads influences inter-brain synchronization and motor task performance.
- EEG hyperscanning provides insights into the neural basis of dyadic motor coordination and learning.

