B
Beate Dunst
Researcher at University of Graz
Publications - 11
Citations - 958
Beate Dunst is an academic researcher from University of Graz. The author has contributed to research in topics: Elementary cognitive task & Language production. The author has an hindex of 7, co-authored 11 publications receiving 800 citations.
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The relationship between intelligence and creativity: New support for the threshold hypothesis by means of empirical breakpoint detection
TL;DR: In this paper, the authors examined the relationship between intelligence and different indicators of creative potential and of creative achievement by means of segmented regression analysis in a sample of 297 participants and found thresholds only for measures of creativity potential but not for creative achievement.
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Creating metaphors: the neural basis of figurative language production.
Mathias Benedek,Roger E. Beaty,Emanuel Jauk,Karl Koschutnig,Andreas Fink,Paul J. Silvia,Beate Dunst,Aljoscha C. Neubauer +7 more
TL;DR: This article found that metaphor production was associated with focal activity in predominantly left-hemispheric brain regions, specifically the left angular gyrus, the left middle and superior frontal gyri, corresponding to the left dorsomedial prefrontal (DMPFC) cortex and the posterior cingulate cortex.
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The relationship between intelligence and creativity: New support for the threshold hypothesis by means of empirical breakpoint detection
TL;DR: Examination of the relationship between intelligence and different indicators of creative potential and of creative achievement by means of segmented regression analysis confirmed the threshold hypothesis for qualitative indicators of Creative potential and obtained evidence that once the intelligence threshold is met, personality factors become more predictive for creativity.
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Neural efficiency as a function of task demands.
Beate Dunst,Mathias Benedek,Emanuel Jauk,Sabine Bergner,Karl Koschutnig,Markus Sommer,Anja Ischebeck,Birgit Spinath,Martin Arendasy,Markus Bühner,Heribert H. Freudenthaler,Aljoscha C. Neubauer +11 more
TL;DR: Results suggest that neural efficiency reflects an (ability-dependent) adaption of brain activation to the respective task demands, and not when comparing tasks with the same person-specific task difficulty.
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Gray matter correlates of creative potential: A latent variable voxel-based morphometry study
TL;DR: The results indicate that the ability to produce original ideas is tied to default-mode as well as dopaminergic structures, which was apparent throughout the whole range of intellectual ability and thus not moderated by intelligence.