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Article: What does temporal brain signal complexity reveal about verbal creativity?
Title | What does temporal brain signal complexity reveal about verbal creativity? |
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Authors | |
Keywords | divergent thinking individual differences multiscale entropy temporal complexity verbal creativity |
Issue Date | 2020 |
Publisher | Frontiers Research Foundation. The Journal's web site is located at http://www.frontiersin.org/behavioral_neuroscience/ |
Citation | Frontiers in Behavioral Neuroscience, 2020, v. 14, p. article no. 146 How to Cite? |
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 features of neural networks. MSE was measured in verbal divergent thinking (DT) states while emphasizing on producing either typical verbal associations or original verbal associations. We hypothesized that MSE differentiates between brain states characterizing the production of typical and original associations and is a sensitive neural marker of individual differences in producing original associations. Results from a sample of N = 92 young adults revealed slightly higher average MSE for original as compared with typical association production in small and medium timescales at frontal electrodes and slightly higher average MSE for typical association production in higher timescales at parietal electrodes. However, measurement models failed to uncover specificity of individual differences as MSE in typical vs. original associations was perfectly correlated. Hence, individuals with higher MSE in original association condition also exhibit higher MSE during the production of typical associations. The difference between typical and original association MSE was not significantly associated with human-rated originality of the verbal associations. In sum, we conclude that MSE is a potential marker of creative verbal association states, but replications and extensions are needed, especially with respect to the brain-behavior relationships. |
Persistent Identifier | http://hdl.handle.net/10722/287737 |
ISSN | 2023 Impact Factor: 2.6 2023 SCImago Journal Rankings: 0.949 |
PubMed Central ID | |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Kaur, Y | - |
dc.contributor.author | Ouyang, G | - |
dc.contributor.author | Sommer, W | - |
dc.contributor.author | Weiss, S | - |
dc.contributor.author | Zhou, C | - |
dc.contributor.author | Hildebrandt, A | - |
dc.date.accessioned | 2020-10-05T12:02:32Z | - |
dc.date.available | 2020-10-05T12:02:32Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Frontiers in Behavioral Neuroscience, 2020, v. 14, p. article no. 146 | - |
dc.identifier.issn | 1662-5153 | - |
dc.identifier.uri | http://hdl.handle.net/10722/287737 | - |
dc.description.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 features of neural networks. MSE was measured in verbal divergent thinking (DT) states while emphasizing on producing either typical verbal associations or original verbal associations. We hypothesized that MSE differentiates between brain states characterizing the production of typical and original associations and is a sensitive neural marker of individual differences in producing original associations. Results from a sample of N = 92 young adults revealed slightly higher average MSE for original as compared with typical association production in small and medium timescales at frontal electrodes and slightly higher average MSE for typical association production in higher timescales at parietal electrodes. However, measurement models failed to uncover specificity of individual differences as MSE in typical vs. original associations was perfectly correlated. Hence, individuals with higher MSE in original association condition also exhibit higher MSE during the production of typical associations. The difference between typical and original association MSE was not significantly associated with human-rated originality of the verbal associations. In sum, we conclude that MSE is a potential marker of creative verbal association states, but replications and extensions are needed, especially with respect to the brain-behavior relationships. | - |
dc.language | eng | - |
dc.publisher | Frontiers Research Foundation. The Journal's web site is located at http://www.frontiersin.org/behavioral_neuroscience/ | - |
dc.relation.ispartof | Frontiers in Behavioral Neuroscience | - |
dc.rights | This Document is Protected by copyright and was first published by Frontiers. All rights reserved. It is reproduced with permission. | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | divergent thinking | - |
dc.subject | individual differences | - |
dc.subject | multiscale entropy | - |
dc.subject | temporal complexity | - |
dc.subject | verbal creativity | - |
dc.title | What does temporal brain signal complexity reveal about verbal creativity? | - |
dc.type | Article | - |
dc.identifier.email | Ouyang, G: ouyangg@hku.hk | - |
dc.identifier.authority | Ouyang, G=rp02315 | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.3389/fnbeh.2020.00146 | - |
dc.identifier.pmid | 33192356 | - |
dc.identifier.pmcid | PMC7481454 | - |
dc.identifier.scopus | eid_2-s2.0-85090783171 | - |
dc.identifier.hkuros | 314999 | - |
dc.identifier.volume | 14 | - |
dc.identifier.spage | article no. 146 | - |
dc.identifier.epage | article no. 146 | - |
dc.identifier.isi | WOS:000570588100001 | - |
dc.publisher.place | Switzerland | - |
dc.identifier.issnl | 1662-5153 | - |