Poster Session D, Monday, March 25, 8:00 – 10:00 am, Pacific Concourse
Neural dynamics of generating and evaluating creative and non-creative thoughts
Yoed N. Kenett1, Evangelia G. Chrysikou2, Danielle S. Bassett1, Sharon L. Thompson-Schill11; 1University of Pennsylvania, 2Drexel University
What are the neural dynamics that drive creative thinking? Recent studies suggest that interactions between the control, default mode, and the salience brain networks are an important marker of individual differences in creative ability. However, how different brain regions within these systems might be recruited dynamically during the two key components of the creative process—generation and evaluation—remains far from being understood. In the current study we apply state-of-the-art methods and models from network neuroscience to examine the neural dynamics related to generation and evaluation of creative and non-creative thoughts in a novel within-subject design. Participants completed two functional magnetic resonance imaging sessions, separately by a time interval of one week. In the first imaging session, participants generated either creative (alternative uses) or non-creative (common characteristics) responses to common objects. In the second imaging session, participants evaluated their own creative and non-creative responses to the same objects. Network statistics were calculated to examine and compare dynamic reconfiguration during these four conditions. We found that generating creative thoughts led to significantly higher network reconfiguration than generating non-creative thoughts, whereas evaluating creative and non-creative thoughts led to similar levels of network reconfigurations. Furthermore, we find that such differences are attributed to distinct reconfiguration patterns across the control, default mode, and salience networks. Thus, we show—for the first time—within-subject differences in the neural dynamics related to generating and evaluating creative versus non-creative thoughts.
Topic Area: THINKING: Problem solving