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Creative flow as optimized processing: Evidence from brain oscillations during jazz improvisations by expert and
David Rosen1, Yongtaek Oh1, Christine Chesebrough1
1Department of Psychological and Brain Sciences, Drexel University, United States.
Creative flow in jazz improvisation involves reduced brain activity in default-mode network (DMN) regions, especially for experienced musicians. This suggests optimized, domain-specific processing rather than general cognitive control during peak creative states.
Area of Science:
- Neuroscience
- Cognitive Psychology
- Music Cognition
Background:
- The flow experience is a state of optimal performance and engagement.
- Previous research offers competing theories on the neural underpinnings of flow, particularly regarding default-mode network (DMN) activity.
- Understanding flow's neural basis is crucial for optimizing creative performance.
Purpose of the Study:
- To test competing hypotheses about the neural correlates of the flow experience during jazz improvisation.
- To investigate the role of domain-specific versus domain-general neural processing in flow.
- To examine how experience modulates neural activity during creative flow.
Main Methods:
- Electroencephalography (EEG) was used to record brain activity in jazz guitarists during improvisation.
- The Core Flow State Scale measured participants' subjective experience of flow.
- Neuroimaging analysis (SPM12) reconstructed neural sources associated with flow states.
Main Results:
- High-flow states were associated with transient hypofrontality across all musicians.
- Experienced musicians in high-flow states showed reduced activity in posterior DMN nodes.
- Less experienced musicians did not show significant DMN or fronto-parietal control network (FPCN) modulation related to flow.
Conclusions:
- Creative flow appears to be a state of optimized domain-specific processing, characterized by reduced cognitive control.
- Extensive practice may facilitate domain-specific neural adaptations supporting flow.
- Findings support the hypothesis that flow involves reduced interference from task-negative networks, particularly in experts.
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