Keyword search (4,163 papers available)

"Zeng Y" Authored Publications:

Title Authors PubMed ID
1 Impact of COVID-19 on incidence and trends of adverse events among hospitalised patients in Calgary, Canada: a retrospective chart review study Wu G; Eastwood CA; Cheligeer C; Southern DA; Zeng Y; Ghali WA; Bakal JA; Boussat B; Flemons W; Forster A; Xu Y; Quan H; 41592994
CONCORDIA
2 Preprocessing narrative texts in electronic medical records to identify hospital adverse events: A scoping review Jafarpour H; Wu G; Cheligeer CK; Yan J; Xu Y; Southern DA; Eastwood CA; Zeng Y; Quan H; 41072367
ENCS
3 Correlations of pilot trainees brainwave dynamics with subjective performance evaluations: insights from EEG microstate analysis Zhao M; Law A; Su C; Jennings S; Bourgon A; Jia W; Larose MH; Bowness D; Zeng Y; 40109507
ENCS
4 Utilizing large language models for detecting hospital-acquired conditions: an empirical study on pulmonary embolism Cheligeer C; Southern DA; Yan J; Wu G; Pan J; Lee S; Martin EA; Jafarpour H; Eastwood CA; Zeng Y; Quan H; 40105654
ENCS
5 Monitoring pilot trainees' cognitive control under a simulator-based training process with EEG microstate analysis Zhao M; Jia W; Jennings S; Law A; Bourgon A; Su C; Larose MH; Grenier H; Bowness D; Zeng Y; 39428425
ENCS
6 EEG-based study of design creativity: a review on research design, experiments, and analysis Zangeneh Soroush M; Zeng Y; 39148896
ENCS
7 Identifying personalized barriers for hypertension self-management from TASKS framework Yang J; Zeng Y; Yang L; Khan N; Singh S; Walker RL; Eastwood R; Quan H; 39143621
ENCS
8 Loosely controlled experimental EEG datasets for higher-order cognitions in design and creativity tasks Zangeneh Soroush M; Zhao M; Jia W; Zeng Y; 38152489
ENCS
9 Design Principles in mHealth Interventions for Sustainable Health Behavior Changes: Protocol for a Systematic Review Yang L; Kuang A; Xu C; Shewchuk B; Singh S; Quan H; Zeng Y; 36811938
ENCS
10 Reinforcement learning for automatic quadrilateral mesh generation: A soft actor-critic approach Pan J; Huang J; Cheng G; Zeng Y; 36375347
ENCS
11 Developing EMR-based algorithms to Identify hospital adverse events for health system performance evaluation and improvement: Study protocol Wu G; Eastwood C; Zeng Y; Quan H; Long Q; Zhang Z; Ghali WA; Bakal J; Boussat B; Flemons W; Forster A; Southern DA; Knudsen S; Popowich B; Xu Y; 36197944
ENCS
12 A Proposed Multi-Criteria Optimization Approach to Enhance Clinical Outcomes Evaluation for Diabetes Care: A Commentary Wan TTH; Matthews S; Luh H; Zeng Y; Wang Z; Yang L; 35372638
ENCS
13 Network oscillations imply the highest cognitive workload and lowest cognitive control during idea generation in open-ended creation tasks Jia W; von Wegner F; Zhao M; Zeng Y; 34930950
ENCS
14 EEG signals respond differently to idea generation, idea evolution and evaluation in a loosely controlled creativity experiment. Jia W, Zeng Y 33483583
ENCS
15 Phylogeny reconstruction and hybrid analysis of populus (Salicaceae) based on nucleotide sequences of multiple single-copy nuclear genes and plastid fragments. Wang Z, Du S, Dayanandan S, Wang D, Zeng Y, Zhang J 25116432
BIOLOGY

 

Title:EEG signals respond differently to idea generation, idea evolution and evaluation in a loosely controlled creativity experiment.
Authors:Jia WZeng Y
Link:https://www.ncbi.nlm.nih.gov/pubmed/33483583
DOI:10.1038/s41598-021-81655-0
Publication:Scientific reports
Keywords:
PMID:33483583 Category:Sci Rep Date Added:2021-01-24
Dept Affiliation: ENCS
1 Concordia Institute for Information Systems Engineering, Gina Cody School of Engineering and Computer Science, Concordia University, Montreal, QC, Canada.
2 Concordia Institute for Information Systems Engineering, Gina Cody School of Engineering and Computer Science, Concordia University, Montreal, QC, Canada. zeng@ciise.concordia.ca.

Description:

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

Sci Rep. 2021 Jan 22; 11(1):2119

Authors: Jia W, Zeng Y

Abstract

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 i




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