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Updated: Jul 28, 2025

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Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective
Published on: July 1, 2015
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Neural synchronization as a function of engagement with the narrative
1Sagol School of Neuroscience, Tel-Aviv University, Israel.
Neuroimage
|June 3, 2023
Summary
Listener engagement with stories synchronizes brain activity in key networks, including the default mode network (DMN). Individual differences in engagement reveal how we process narratives and characters, impacting neural responses.
Area of Science:
- Neuroscience
- Cognitive Science
- Psychology
Background:
- Narrative engagement is crucial for storytelling.
- Individual differences in how people engage with stories are significant.
- Previous research has explored brain responses to narratives.
Purpose of the Study:
- To investigate if listener engagement synchronizes brain responses to a narrative.
- To examine individual differences in engagement and their neural correlates.
- To understand how engagement with characters affects brain activity.
Main Methods:
- Re-analysis of functional Magnetic Resonance Imaging (fMRI) data from 25 participants.
- Participants listened to a one-hour story and completed engagement questionnaires.
- Correlation analysis between engagement levels and neural synchronization patterns.
Main Results:
- Individual differences in story and character engagement were observed.
- Neural synchronization increased with higher story engagement in the default mode network (DMN) and reward system.
- Engaging characters (positive or negative) elicited distinct neural synchronization patterns.
- Engagement enhanced functional connectivity across attention and control networks.
Conclusions:
- Narrative engagement synchronizes brain activity in regions supporting mentalizing, reward, working memory, and attention.
- Neural synchronization patterns are driven by individual engagement, not just narrative content.
- Understanding engagement provides insights into the neural basis of narrative processing.
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