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Default and control network connectivity dynamics track the stream of affect at multiple timescales
Giada Lettieri1, Giacomo Handjaras1, Francesca Setti2
1Social and Affective Neuroscience Group, IMT School for Advanced Studies Lucca, Lucca 55100, Italy.
Brain connectivity dynamics track emotional changes during movies. Affective experiences link to default mode and control networks, converging in the right temporoparietal cortex, with specific brain areas encoding emotions across different timescales.
Area of Science:
- Neuroscience
- Cognitive Science
- Affective Science
Background:
- Understanding the brain's representation of affect over time is complex, requiring models of real-world experiences.
- Movies offer a practical way to study synchronized emotional responses and temporal dynamics in a controlled setting.
Purpose of the Study:
- To investigate how brain connectivity dynamics track changes in affect during naturalistic experiences like movie watching.
- To explore the relationship between the temporal dynamics of affect and brain network activity.
Main Methods:
- Utilized time-varying intersubject brain synchronization (fMRI) and real-time behavioral reports during movie viewing.
- Analyzed connectivity patterns within the default mode network and control networks.
- Validated findings across two experiments with four independent samples and multiple analysis workflows.
Main Results:
- Affective experience polarity and intensity correlate with connectivity dynamics in the default mode and control networks.
- These connectivity changes converge in the right temporoparietal cortex.
- Revealed chronotopic connectivity maps in temporoparietal and prefrontal cortices, showing distinct timescales of affect encoding.
Conclusions:
- Brain network connectivity dynamically tracks subjective emotional experiences.
- Specific brain regions, particularly the right temporoparietal cortex, integrate affective information across time.
- The brain exhibits temporally organized representations of affect within specific cortical areas.
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