What Does Temporal Brain Signal Complexity Reveal About Verbal Creativity?

ABSTRACT: Recent empirical evidence reveals that creative idea generation builds upon an interplay of multiple neural networks. Measures of temporal complexity yield important information about the underlying mechanisms of these co-activated neural networks. A few neurophysiological studies investigated brain signal complexity (BSC) during the production of creative verbal associations and resting states, aiming to relate it with creative task performance. However, it is unknown whether the complexity of brain signals can distinguish between productions of typical and original verbal associations. In the present study, we investigated verbal creativity with multiscale entropy (MSE) of electroencephalography (EEG) signals, which quantifies complexity over multiple timescales, capturing unique dynamic

SUBMITTER: Kaur Y 

PROVIDER: S-EPMC7481454 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature