Font Size: a A A

Neural Basis Of Different Types Of Creative Groups

Posted on:2021-04-02Degree:MasterType:Thesis
Country:ChinaCandidate:Q LiuFull Text:PDF
GTID:2415330611964086Subject:Basic Psychology
Abstract/Summary:PDF Full Text Request
Creativity is a very important cognitive ability.Creativity is the guarantee for a nation and a country to maintain its vigorous vitality,and it is also an important cornerstone of national rejuvenation.In daily life,the school emphasizes the cultivation of innovative talents.The company's recruitment requires applicants to have a high sense of innovation.More and more parents also begin to pay attention to the cultivation of children's creativity.Various kinds of "gifted children" training courses are emerging in an endless stream.There is no doubt about the importance of creativity,and there have been a lot of studies on the influencing factors of creativity and brain neural mechanism.Divergent thinking is the core component of creativity,referring to the ability of individuals to propose different solutions when encountering a highly complex open problem,that is,a problemsolving ability.Using this way of thinking,when you encounter a problem,you can think of the answer to the problem from multiple angles,multiple sides,multiple levels,and multiple structures,which is neither limited by the existing knowledge nor constrained by traditional methods.Creative thinking has three dimensions: originality,flexibility and fluency.Previous studies on creativity use the divergent thinking dimension index,mostly adopting the overall score obtained by adding the rough dimension scores or a single feature dimension.It is easy to confuse the trade-off between "quality" and "quantity" in creative activities.For example,individuals who focus on creative "quality" will sacrifice some fluency for originality,while individuals who focus on "quantity" will sacrifice some originality for fluency.Therefore,this study selects the three dimensions of fluency,flexibility,and average originality of the divergent thinking test as indicators for statistical analysis,clusters the population according to these three dimensions,and examines the individual ' s creativity in a more comprehensive and detailed manner from the perspective of the individual.The balance between "quality" and "quantity" in the activity,and find the behavior labels of different types of creative people and the corresponding brain structure and functional basis.In this study,after K-means clustering,the differences in behavior and neural mechanisms of different types of creative people were analyzed.In the first study,the K-means method is used to cluster the three-dimensional indicators of a multi-purpose task,and the different creative population types and behavior labels of different creative population types after clustering are investigated.The research is divided into two experiments: Experiment 1 explores different types of creative groups after clustering,recruits 596 undergraduate and graduate students,conducts demographic information analysis,and uses the K-means method to multi-task The three dimensions(fluency,flexibility,average originality)are clustered.The results show that clustering can effectively divide the creative population into three groups,namely high fluency group(high fluency,high flexibility,medium average originality);high originality group(high average originality,fluency Medium,moderate flexibility);ordinary group(all three dimensions have low scores).Experiment 2 further explores the psychological behavior characteristics(unique behavior labels)of the three types of creative population obtained after clustering.Collected scores of behavior scales related to creativity(Big Five Personality Scale,Fuzzy Tolerance Scale,Critical Thinking Scale),controlled the effects of additional variables such as gender and age of the subjects,and then used single factor analysis of variance to analyze the differences Differences between groups on relevant behavior scales.It was found that the openness and critical thinking tendency of the high fluency group was significantly higher than that of the ordinary group;the fuzzy tolerance of the high originality group was significantly higher than that of the high fluency group.In general,the results of Study 1 show that there are significant individual differences in the performance and cognitive behavior of different types of creative people(focusing on quality or quantity)in each dimension of divergent thinking tasks.The second study attempts to explore the neural mechanism differences of different types of creative groups based on three experiments of multimodal MRI data(T1 structure image,one object multi-purpose task state,resting state function connection).In Experiment 3,we used the T1 structure image data of 595 subjects after clustering,and used the method of one-way ANOVA to explore the basic differences of brain structure in different creative groups.The results showed that the white matter density of Bilateral precentral gyrus in high fluency group was significantly higher than that in control group,and that of left lingual gyrus in high originality group was significantly higher than that in control group.Experiment 4 is based on the resting functional connection data of 595 subjects after clustering to explore the differences of brain functional connections of different types of creative groups,and uses statistical analysis of seed point functional connection analysis methods.The brain regions found in the high fluency group and the high originality group in Experiment 3 were used as seed points,and the regions of the default network found in previous studies were also used as seed points.The results showed that the left ventral prefrontal cortex(vmPFC)in the high fluency group had stronger functional connection with the left precuneus lobe,and the left vmPFC in the high originality group had stronger functional connection with the right lingual gyrus.In Experiment 5,the differences of brain activation regions in different creative groups under task state were discussed by using task state functional MRI data of 68 people.Creative tasks were performed by using the classic task state paradigm of one thing and multiple uses.In group level analysis,a single sample t-test was carried out to obtain the brain activity patterns of high fluency group and high originality group,respectively.The results showed that: During the creative task,the activation of right precentral gyrus in the high fluency group was significantly higher than that in the control group,but there was no significant difference between the high originality group and the control group.In summary,this paper attempts to reveal the behavior labels of different types of creative tendencies(focusing on quality or quantity)and their corresponding cognitive neural mechanisms in divergent thinking test tasks.In the first study,through cluster analysis,it was found that there are different types of creative groups when individuals perform AUT tasks.Specifically,individuals in the high fluency group pay more attention to the number of creative activities,and the high originality group pays more attention to quality.Study 2 further explored the brain structure and functional basis of individuals in the high fluency group and the high originality group,and found that individuals in the high fluency group had higher white matter density in the central anterior gyrus on both sides,the functions of the left vmPFC and the left anterior wedge The connection is stronger,and activation occurs in the anterior right central gyrus during creative activities;individuals in the high originality group have higher white matter density in the left lingual gyrus and a stronger functional connection between the left vmPFC and the right lingual gyrus.This study reveals the creative cognitive neural mechanism from the perspective of individual differences,and provides new inspiration and reference for the subsequent research.Based on the findings of this study,original and fluent interventions and trainings can be targeted to specific populations in the future to enhance individual innovation capabilities.
Keywords/Search Tags:divergent thinking, K-means clustering, brain structure, functional connection
PDF Full Text Request
Related items