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Yongtaek Oh
Researcher at Drexel University
Publications - 6
Citations - 87
Yongtaek Oh is an academic researcher from Drexel University. The author has contributed to research in topics: Creativity & Brain activity and meditation. The author has an hindex of 3, co-authored 4 publications receiving 33 citations.
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An insight-related neural reward signal
TL;DR: Findings support the notion that for many people insight is rewarding and may explain why many people choose to engage in insight-generating recreational and vocational activities such as solving puzzles, reading murder mysteries, creating inventions, or doing research.
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Dual-process contributions to creativity in jazz improvisations: An SPM-EEG study
TL;DR: The notion that superior creative production is associated with hypofrontality and right-hemisphere activity thereby supporting a dual-process model of creativity in which experience influences the balance between executive and associative processes is supported.
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Resting-state brain oscillations predict trait-like cognitive styles.
Brian Erickson,Monica Truelove-Hill,Yongtaek Oh,Julia Anderson,Fengqing Zoe Zhang,John Kounios +5 more
TL;DR: It is found that peoples' tendency to solve problems consistently by insight or by analysis spans both tasks and time, and trait-like individual differences in the balance between frontal and posterior resting-state brain activity and in temporal-lobe hemispheric asymmetries are discovered.
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Pre-stimulus brain oscillations predict insight versus analytic problem-solving in an anagram task.
TL;DR: In this article, the authors examined high-density electroencephalograms (EEGs) immediately preceding the presentation of anagrams and found that during the 2-s prestimulus interval there was greater beta-band activity recorded over right central-parietal cortex prior to analytic solving compared with insightful solving.
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Dynamics of hidden brain states when people solve verbal puzzles
TL;DR: In this paper , a Hidden Markov Model (HMM) was applied to EEG data to identify hidden brain states with spectrally resolved power topography, and seven states were identified with distinct activation patterns in the theta (4-7 Hz), alpha (8-9 Hz), and gamma (25-50 Hz) bands.