자료유형  

 학위논문

Control Number  

0017163491

International Standard Book Number  

9798384016571

Dewey Decimal Classification Number  

150

Main Entry-Personal Name  

Yu, Yuhua.

Publication, Distribution, etc. (Imprint  

[S.l.] : Northwestern University., 2024

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2024

Physical Description  

123 p.

General Note  

Source: Dissertations Abstracts International, Volume: 86-02, Section: B.

General Note  

Advisor: Beeman, Mark.

Dissertation Note  

Thesis (Ph.D.)--Northwestern University, 2024.

Summary, Etc.  

요약Creative problem-solving is a hallmark of high-level cognitive achievement in humans. To derive novel solutions and solve new problems, people engage a variety of cognitive resources in a temporally organized way. Previous literature has demonstrated the importance of temporal dynamics of brain activities in studying neural substrates of complex cognitive functions. The current thesis project examined temporal dynamics of neural oscillations by extracted hidden brain states from EEG data using a hidden Markov model. In the first two studies, the brain state modeling approach was developed and validated on two datasets recorded when participants solved different verbal puzzles. The trial-by-trial decoding afforded by the model depicted the unfolding and interaction of oscillation processes (brain states) during problem-solving, thereby associating their temporal dynamics with behavioral outcomes. Notably, alpha-band synchronization was robustly associated with insight problem-solving across different tasks. The third study extended the brain state modeling approach to resting-state EEG data. Results suggested that brain states during rest could be reliably identified, cognitively meaningful, and mostly stable within individuals. Brain states extracted from resting sessions overlapped with those extracted from problem-solving sessions. Furthermore, the study provided preliminary evidence that brain states during rest were predictive of individual differences in cognitive performance and problem-solving tendencies. Overall, the findings from these studies offer significant insights into the dynamic oscillatory processes involved in creative problem-solving and task-free rest. They demonstrated the utility of the brain state modeling approach in revealing the temporal dynamics of neural activities. This approach holds the potential for reconciling findings from previous EEG studies and generating new hypotheses to further our understanding of complex cognitive functions.

Subject Added Entry-Topical Term  

Psychology.

Subject Added Entry-Topical Term  

Mental health.

Subject Added Entry-Topical Term  

Health sciences.

Subject Added Entry-Topical Term  

Bioinformatics.

Subject Added Entry-Topical Term  

Behavioral psychology.

Subject Added Entry-Topical Term  

Cognitive psychology.

Index Term-Uncontrolled  

Brain state

Index Term-Uncontrolled  

Creativity

Index Term-Uncontrolled  

EEG data

Index Term-Uncontrolled  

Hidden Markov model

Index Term-Uncontrolled  

Oscillation

Index Term-Uncontrolled  

Problem-solving

Added Entry-Corporate Name  

Northwestern University Psychology

Host Item Entry  

Dissertations Abstracts International. 86-02B.

Electronic Location and Access  

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Control Number  

joongbu:658602