Dynamic brain activity during creative storytelling
Poster No:
946
Submission Type:
Abstract Submission
Authors:
xitong Liang1, Mingnan Cai2, Gaohan Jing2, Chengming Zhang2, Li Liu2
Institutions:
1State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, Beijing, 2State Key Laboratory of Cognitive Neuroscience and Learning，Beijing Normal University, Beijing, Beijing
First Author:
Xitong Liang
State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University
Beijing, Beijing
State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University
Beijing, Beijing
Co-Author(s):
Mingnan Cai
State Key Laboratory of Cognitive Neuroscience and Learning，Beijing Normal University
Beijing, Beijing
State Key Laboratory of Cognitive Neuroscience and Learning，Beijing Normal University
Beijing, Beijing
Gaohan Jing
State Key Laboratory of Cognitive Neuroscience and Learning，Beijing Normal University
Beijing, Beijing
State Key Laboratory of Cognitive Neuroscience and Learning，Beijing Normal University
Beijing, Beijing
Chengming Zhang
State Key Laboratory of Cognitive Neuroscience and Learning，Beijing Normal University
Beijing, Beijing
State Key Laboratory of Cognitive Neuroscience and Learning，Beijing Normal University
Beijing, Beijing
Li Liu
State Key Laboratory of Cognitive Neuroscience and Learning，Beijing Normal University
Beijing, Beijing
State Key Laboratory of Cognitive Neuroscience and Learning，Beijing Normal University
Beijing, Beijing
Introduction:
Creative storytelling is an extraordinary human ability that requires both various cognitive processes and transitions between them. Despite that previous research has examined the relationship between creative thinking and diverse cognitive processes (Beaty et al., 2015; Nijstad et al., 2010; Kleinmintz et al., 2019), the intricate dynamic interplay between these mechanisms, particularly in the realm of creative storytelling, remains elusive. Consequently, the purpose of this study is to unravel the flexible dynamic brain activity underlying creative storytelling through fMRI data from 41 college students. Through a method of dynamic functional connectivity, we identified dynamic brain activity that played a crucial role in the conception and articulation of creative stories.
Methods:
In this study, a total of 47 normal adult college students aged 18-26 were recruited as participants. Following exclusion of participants with excessive head movement and program errors during the experiment, the analysis involved data from a total of 41 participants. Each participant was required to perform a creative storytelling task and an uncreative storytelling task during fMRI scans, which was designed to improve upon a task developed by Howard-Jones et al. (Howard-Jones et al., 2005).
The raw data was preprocessed using fmriprep (Esteban et al., 2018), which included registration, artifact correction, MNI spatial standardization, motion parameter estimation, and spatial smoothing. Head movement was removed using the ICA-AROMA of FSL (Pruim et al., 2015). Two participants excluded due to movements greater than 3mm.
In the present study, we employed the Schaefer brain atlas to divide the brain into 100 distinct regions based on the Yeo17 network (Schaefer et al., 2018). Subsequently, we performed dynamic functional connectivity analyses under both creative and uncreative story conditions. Following this, we utilized clustering analysis to discern any significant variations between task and control conditions.
The raw data was preprocessed using fmriprep (Esteban et al., 2018), which included registration, artifact correction, MNI spatial standardization, motion parameter estimation, and spatial smoothing. Head movement was removed using the ICA-AROMA of FSL (Pruim et al., 2015). Two participants excluded due to movements greater than 3mm.
In the present study, we employed the Schaefer brain atlas to divide the brain into 100 distinct regions based on the Yeo17 network (Schaefer et al., 2018). Subsequently, we performed dynamic functional connectivity analyses under both creative and uncreative story conditions. Following this, we utilized clustering analysis to discern any significant variations between task and control conditions.
Results:
The brain networks demonstrating significant differences between the conception of creative and uncreative stories in dynamic functional connectivity, primarily in default mode networks, control networks, and other networks.
Similarly, the distinction between narrating creative stories and narrating uncreative story conditions was assessed. The exploration disclosed that the dynamic functional link mode of the whole brain network during telling creative stories demonstrated a notable boost, compared to telling uncreative stories.
For a more comprehensive understanding of these results, please refer to Figure 1.
Similarly, the distinction between narrating creative stories and narrating uncreative story conditions was assessed. The exploration disclosed that the dynamic functional link mode of the whole brain network during telling creative stories demonstrated a notable boost, compared to telling uncreative stories.
For a more comprehensive understanding of these results, please refer to Figure 1.
Conclusions:
In conclusion, we have employed a dynamic functional connectivity method to investigate the dynamic patterns of the brain during the creative storytelling process. Results revealed that the dynamic connection mode between the default mode network, control network, and other networks significantly escalated during the creative story conception process. In addition, the dynamic functional connection mode of the whole brain network demonstrated a significant increase during the creative story narration phase. Based on prior studies, the dynamic functional connection between the default mode network and the control network may be related to the evaluation of creativity (Beaty et al., 2015; Kleinmintz et al., 2019). The dynamic functional connection mode of the whole brain network may symbolize a state of free association (Lord, et al., 2019), which is more prevalent during the creative generation phase. These findings underline the importance of generating and evaluating ideas for crafting creative stories. Thus, creative thinking may be characterized by dynamic transition and cycling among multiple cognitive processes. Our study sheds new light on the dynamic transition patterns of the brain during the creative story conception and narration process.
Higher Cognitive Functions:
Higher Cognitive Functions Other 1
Language:
Reading and Writing 2
Modeling and Analysis Methods:
Connectivity (eg. functional, effective, structural)
fMRI Connectivity and Network Modeling
Novel Imaging Acquisition Methods:
BOLD fMRI
Keywords:
Cognition
FUNCTIONAL MRI
Language
Other - creative thinking, dynamic functional connectivity, neural network
1|2Indicates the priority used for review
Provide references using author date format
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Kleinmintz O.M., Ivancovsky T., Shamay-Tsoory S.G. (2019), ‘The twofold model of creativity: the neural underpinnings of the generation and evaluation of creative ideas.’ Current Opinion in Behavioral Sciences, 27, 131-138.
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