Functional coupling of brain networks during creative idea generation and elaboration in the figural domain

Rominger, Christian; Papousek, Ilona; Perchtold, Corinna M.; Benedek, Mathias; Weiss, Elisabeth M.; Weber, Bernhard; Schwerdtfeger, Andreas; Eglmaier, Marina Tanja Waltraud; Fink, Andréas

doi:10.1016/j.neuroimage.2019.116395

Cited by 34 publications

(29 citation statements)

References 72 publications

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“…At the same time, it should be noted that we did not observe increases in alpha power as compared to a reference period, but instead found lower alpha desynchronization which still reflects relatively higher alpha power during IDC as compared to EDC. Future studies should investigate whether the observed relatively higher alpha power might be due to higher phase‐locking in response to stimulus onset rather than increased amplitudes of alpha oscillation (e.g., Rominger et al., 2020; Samaha, Bauer, Cimaroli, & Postle, 2015), as phase‐locking in the alpha band is also linked to visual WM encoding (Freunberger, Fellinger, Sauseng, Gruber, & Klimesch, 2009; Haenschel, Linden, Bittner, Singer, & Hanslmayr, 2010). Such investigations may inform deliberations on the specific functional roles of alpha activity (cf.…”

Section: Discussionmentioning

confidence: 99%

“…Predicting response originality through brain activity: An analysis of changes in EEG alpha power during the generation of alternative ideas. NeuroImage, 207, 116385. https://doi.org/10.1016/j.neuro image.2019.116385 Annerer-Walcher, S., Körner, C., Beaty, R. E., & Benedek, M. (2020). Eye behavior predicts susceptibility to visual distraction during internally directed cognition.…”

Section: R E Fe R E N C E Smentioning

confidence: 99%

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Neurophysiological indicators of internal attention: An electroencephalography–eye‐tracking coregistration study

et al. 2020

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Section: Discussionmentioning

confidence: 99%

Section: R E Fe R E N C E Smentioning

confidence: 99%

Neurophysiological indicators of internal attention: An electroencephalography–eye‐tracking coregistration study

et al. 2020

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“…创造力(creativity)通常被定义为在一定社会背景下产生新颖独特且具有社会价值和适用性产品或想法的能力 (Runco & Jaeger, 2012;Sternberg, 1996) (Benedek, Könen, & Neubauer, 2012;Mednick, 1962) (Agnoli et al, 2020;Fink & Benedek, 2014;Friston et al, 2015) 规律与内在机制 (Buzsaki & Draguhn, 2004;Tiesinga et al, 2008;X. J. Wang, 2010) Arden et al, 2010;Benedek, Beaty, et al, 2014;Benedek et al, 2011;Benedek, Jauk, et al, 2014;Brinkman et al, 2014;Dietrich & Kanso, 2010;Fink et al, 2017;Grabner et al, 2018;Lechinger et al, 2016;Lustenberger et al, 2015;Rominger et al, 2019;Schwab et al, 2014;X. Wang et al, 2019;Zhou et al, 2019) (Dietrich, 2003;Martindale, 1999;Mendelsohn, 1976 (Fink et al, 2007;Fink, Grabner, et al, 2009)。Fink, Graif 和 Neubauer (2009)发现被试在完成即兴舞蹈创作的创造力任务比在完成标准华尔兹的任务时, 额叶和顶叶也产生了更强的 alpha 神经振荡。在创造力产生进程中, 额顶叶 alpha 频段神经振荡会随着新颖观点的产生而增强 (Fink et al, 2006;Grabner et al, 2007)。在创造力研究领域内关于 alpha 1 和 alpha 2 两个子频段神经振荡的认知机制还未发现一致的结论 (Fink et al, 2006;Fink et al, 2011 (Fink et al, 2007;Jauk et al, 2012;Martindale & Hasenfus, 1978)…”

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Neural oscillation mechanism of creativity

Ye¹,

Lin²

2021

Adv Psychol Sci

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Consensus on the origin of creativity has not been reached. Taking the advantage of high temporal resolution, electroencephalography can accurately reveal the neural oscillation mechanism in the process of creative production, which facilitates a deep understanding on the nature of creativity. In recent years, studies have revealed that alpha rhythm of neural oscillation increases along with increased creativity, which reflects an increased demand for internal processing and the top-down cognitive control during creativity generation. Meanwhile, cross-frequency coupling of neural oscillation reflects the dynamic exchange of information among multiple brain regions, such as frontal, temporal, and parietal lobes, during creative production. Future research, based on integrated theoretical framework as well as multi-level and multi-approach research tools, needs to be conducted to introduce more ecological mathematical calculation methods, and to effectively predict the trend of individual creativity development through computational neuroscience modeling, which facilitates a more comprehensively and profoundly understanding of creativity.

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“…It was found that the decreases in alpha power were significantly reduced during idea elaboration compared to idea generation. Follow-up research indicated increases in functional coupling from idea generation to idea elaboration, which were significant in frontal-central and frontal-temporal networks 34 . In line with these findings, the significant power decreases in the lower alpha band were associated with figural divergent tasks compared to verbal divergent tasks, whereas the significant differences were observed only over occipital and left frontal sites between figural and verbal divergent tasks in the upper alpha band 35 .…”

Section: Introductionmentioning

confidence: 97%

EEG signals respond differently to idea generation, idea evolution and evaluation in a loosely controlled creativity experiment

Jia

Zeng

2021

Sci Rep

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Many neurocognitive studies endeavor to understand neural mechanisms of basic creative activities in strictly controlled experiments. However, little evidence is available regarding the neural mechanisms of interactions between basic activities underlying creativity in such experiments. Moreover, strictly controlled experiments might limit flexibility/freedom needed for creative exploration. Thus, this study investigated the whole-brain neuronal networks’ interactions between three modes of thinking: idea generation, idea evolution, and evaluation in a loosely controlled creativity experiment. The loosely controlled creativity experiment will provide a degree of flexibility/freedom for participants to incubate creative ideas through extending response time from a few seconds to 3 min. In the experiment, participants accomplished a modified figural Torrance Test of Creative Thinking (TTCT-F) while their EEG signals were recorded. During idea generation, a participant was instructed to complete a sketch that was immediately triggered by a sketch stimulus at first sight. During idea evolution, a participant was instructed to complete a sketch that is radically distinctive from what was immediately triggered by the sketch stimulus. During the evaluation, a participant was instructed to evaluate difficulties of thinking and drawing during idea generation and evolution. It is expected that participants would use their experience to intuitively complete a sketch during idea generation while they could use more divergent and imaginative thinking to complete a possible creative sketch during idea evolution. Such an experimental design is named as a loosely controlled creativity experiment, which offers an approach to studying creativity in an ecologically valid manner. The validity of the loosely controlled creativity experiment could be verified through comparing its findings on phenomena that have been effectively studied by validated experimental research. It was found from our experiment that alpha power decreased significantly from rest to the three modes of thinking. These findings are consistent with that from visual creativity research based on event-related (de)synchronization (ERD/ERS) and task-related power changes (TRP). Specifically, in the lower alpha band (8–10 Hz), the decreases of alpha power were significantly lower over almost the entire scalp during idea evolution compared to the other modes of thinking. This finding indicated that idea evolution requires less general attention demands than the other two modes of thinking since the lower alpha ERD has been reported as being more likely to reflect general task demands such as attentional processes. In the upper alpha band (10–12 Hz), the decreases of alpha power were significantly higher over central sites during the evaluation compared to idea evolution. This finding indicated that evaluation involves more task-specific demands since the upper alpha ERD has been found as being more likely to reflect task-specific demands such as memory and intelligence, as was defined in the literature. In addition, new findings were obtained since the loosely controlled creativity experiment could activate multiple brain networks to accomplish the tasks involving the three modes of thinking. EEG microstate analysis was used to structure the unstructured EEG data to detect the activation of multiple brain networks. Combined EEG-fMRI and EEG source localization studies have indicated that EEG microstate classes are closely associated with the resting-state network as identified using fMRI. It was found that the default mode network was more active during idea evolution compared to the other two modes of thinking, while the cognitive control network was more active during the evaluation compared to the other two modes of thinking. This finding indicated that idea evolution might be more associated with unconscious and internal directed attention processes. Taken together, the loosely controlled creativity experiment with the support of EEG microstate analysis appears to offer an effective approach to investigating the real-world complex creativity activity.

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Functional coupling of brain networks during creative idea generation and elaboration in the figural domain

Cited by 34 publications

References 72 publications

Neurophysiological indicators of internal attention: An electroencephalography–eye‐tracking coregistration study

Neurophysiological indicators of internal attention: An electroencephalography–eye‐tracking coregistration study

Neural oscillation mechanism of creativity

EEG signals respond differently to idea generation, idea evolution and evaluation in a loosely controlled creativity experiment

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