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Updated: Jun 4, 2026
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Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study
Published on: July 21, 2021
Intertrial coherence and causal interaction among independent EEG components
M Zervakis1, K Michalopoulos, V Iordanidou
1Department of Electronic and Computer Engineering, Technical University of Crete, Chania 73100, Greece. michalis@display.tuc.gr
Journal of Neuroscience Methods
|February 22, 2011
Summary
This study analyzes neural mechanisms of attention and cognitive brain activity using an auditory working memory paradigm. It identifies distinct brain responses and their functional coupling, revealing differences between control and Alzheimer's subjects.
Area of Science:
- Neuroscience
- Cognitive Science
- Signal Processing
Background:
- Growing interest in neural mechanisms of attention and cognitive brain activity.
- Need for advanced analytical tools to dissect complex brain responses.
Purpose of the Study:
- Identify and analyze distinct neural responses in auditory working memory.
- Examine functional coupling and connectivity between neural components.
- Compare brain activity patterns in control versus Alzheimer's disease (AD) populations.
Main Methods:
- Utilized an auditory working memory paradigm.
- Applied independent component analysis (ICA) to isolate neural responses.
- Employed intertrial coherence (ITC) to assess event-related activity.
- Investigated functional coupling using partial directed coherence (PDC) and graph theory.
Main Results:
- Distinct neural components with variable characteristics were identified.
- Intertrial coherence measures revealed event-related nature of components.
- Partial directed coherence analysis highlighted differences in connectivity and directionality between control and AD groups.
- Findings align with and extend previous research on brain synchronization.
Conclusions:
- The proposed analysis framework effectively identifies and characterizes neural responses in working memory tasks.
- Significant differences in neural activation, connectivity, and directionality were observed between control and Alzheimer's subjects.
- The framework demonstrates potential for understanding neural mechanisms in cognitive disorders.
