心理发展与教育 ›› 2025, Vol. 41 ›› Issue (1): 22-31.doi: 10.16187/j.cnki.issn1001-4918.2025.01.03

• 认知与社会性发展 • 上一篇    

基于远距离联想测验的聚合思维脑机制研究

李文福1,2, 王康程3, 陈井婷1, 刘传新1, 邱江2   

  1. 1. 济宁医学院精神卫生学院, 济宁 272067;
    2. 西南大学心理学部, 北碚 400715;
    3. 山东师范大学心理学院, 济南 250358
  • 发布日期:2025-01-22
  • 通讯作者: 邱江 E-mail:qiuj318@swu.edu.cn
  • 基金资助:
    山东省自然科学基金(ZR2022MC113);山东省高等学校“青创科技计划”项目(2019RWF003);山东省教育科学规划创新素养专项课题(2022CYB207);济宁医学院教育教学研究项目(Y2020041)。

The Neural Correlates of Convergent Thinking Measured by Remote Association Test

LI Wenfu1,2, Wang Kangcheng3, CHEN Jingting1, LIU Chuanxin1, QIU Jiang2   

  1. 1. School of Mental Health, Jining Medical University, Jining 272067;
    2. School of Psychology, Southwest University, Chongqing 400715;
    3. School of Psychology, Shandong Normal University, Jinan 250358
  • Published:2025-01-22

摘要: 聚合思维是创造性思维的形式之一,但其脑机制目前还不清楚。采用静息态脑功能成像技术和远距离联想测验,基于低频振荡振幅(ALFF)和局部一致性(ReHo)两种分析方法,研究聚合思维的脑机制。结果发现,远距离联想测验得分与楔前叶的ALFF值显著负相关,与右侧罗兰迪克岛盖区/脑岛的ALFF值显著正相关;同时与左侧额下回的ReHo值显著负相关。研究结合ALFF和ReHo两种指标探讨聚合思维的神经机制,为进一步揭示创造性的本质提供依据。

关键词: 创造性, 聚合思维, 远距离联想测验, 静息态脑功能成像

Abstract: Convergent thinking is a crucial measurable component of creativity, however, the neural basis of convergent thinking remains unclear. Using resting-state functional magnetic resonance imaging (rs-fMRI) and remote association test (RAT), the present study used both ReHo (Regional Homogeneity) and ALFF (Amplitude of Low Frequency Fluctuation) to explore the neural correlates of convergent thinking. Results showed that the score of RAT was significantly negatively associated with ALFF in the precuneus while positively associated with ALFF in the right Rolandic operculum extending into Insula. Meanwhile, the results also revealed that RAT was significantly negatively correlated with the ReHo in the left Inferior Frontal Gyrus (IFG) extending into pars opercularis and the left IFG extending into precentral gyrus. The present research explored for the first time the association between both ALFF and ReHo and convergent thinking measured by RAT. The results were discussed from the possible functions of these brain regions in spatial imagination, information integration and attention orientation.

Key words: creativity, convergent thinking, remote association test, resting-state functional magnetic resonance imaging

中图分类号: 

  • B844
Abraham, A., Pieritz, K., Thybusch, K., Rutter, B., Kroger, S., Schweckendiek, J., … Hermann, C. (2012). Creativity and the brain: Uncovering the neural signature of conceptual expansion. Neuropsychologia, 50(8), 1906-1917.
Agarwal, S., Lu, H., & Pillai, J. J. (2017). Value of Frequency Domain Resting-State Functional Magnetic Resonance Imaging Metrics Amplitude of Low-Frequency Fluctuation and Fractional Amplitude of Low-Frequency Fluctuation in the Assessment of Brain Tumor-Induced Neurovascular Uncoupling.Brain Connectivity, 7(6), 382-389.
Arkin, C., Przysinda, E., Pfeifer, C. W., Zeng, T., & Loui, P. (2019). Gray Matter Correlates of Creativity in Musical Improvisation.Frontiers in Human Neuroscience, 13, 169. https://doi.org/10.3389/fnhum.2019.00169
Barrett, K. C., Barrett, F. S., Jiradejvong, P., Rankin, S. K., Landau, A. T., & Limb, C. J. (2020). Classical creativity: A functional magnetic resonance imaging (fMRI) investigation of pianist and improviser Gabriela Montero.NeuroImage, 209, 116496. https://doi.org/10.1016/j.neuroimage.2019.116496
Beaty, R. E., Seli, P., & Schacter, D. L. (2019). Network neuroscience of creative cognition: Mapping cognitive mechanisms and individual differences in the creative brain.Current Opinion in Behavioral Sciences, 27, 22-30.
Becker, M., Sommer, T., & Kühn, S. (2020). Inferior frontal gyrus involvement during search and solution in verbal creative problem solving: A parametric fMRI study.NeuroImage, 206, 116294. https://doi.org/10.1016/j.neuroimage.2019.116294
Benedek, M., Jauk, E., Fink, A., Koschutnig, K., Reishofer, G., Ebner, F., & Neubauer, A. C. (2014). To create or to recall? Neural mechanisms underlying the generation of creative new ideas.NeuroImage, 88, 125-133.
Benedek, M., Jauk, E., Sommer, M., Arendasy, M., & Neubauer, A. C. (2014). Intelligence, creativity, and cognitive control: The common and differential involvement of executive functions in intelligence and creativity.Intelligence, 46, 73-83.
Berkowitz, A. L., & Ansari, D. (2010). Expertise-related deactivation of the right temporoparietal junction during musical improvisation.NeuroImage, 49(1), 712-719.
Blumenfeld, R. S., & Ranganath, C. (2007). Prefrontal cortex and long-term memory encoding: An integrative review of findings from neuropsychology and neuroimaging.Neuroscientist, 13(3), 280-291.
Boccia, M., Piccardi, L., Palermo, L., Nori, R., & Palmiero, M. (2015). Where do bright ideas occur in our brain? Meta-analytic evidence from neuroimaging studies of domain-specific creativity.Frontiers in Psychology, 6, 1195. https://doi.org/10.3389/fpsyg.2015.01195
Bowden, E. M., & Beeman, J. (2003). Aha! Insight experience correlates with solution activation in the right hemisphere.Psychonomic Bulletin & Review, 10(3), 730-737.
Bowden, E. M., & Jung-Beeman, M. (2003). Normative data for 144 compound remote associate problems.Behavior Research Methods, Instruments, & Computers, 35(4), 634-639.
Bowden, E. M., & Jung-Beeman, M. (2007). Methods for investigating the neural components of insight.Methods, 42(1), 87-99.
Bowden, E. M., Jung-Beeman, M., Fleck, J., & Kounios, J. (2005). New approaches to demystifying insight.Trends in Cognitive Sciences, 9(7), 322-328.
Brown, S., Ingham, R. J., Ingham, J. C., Laird, A. R., & Fox, P. T. (2005). Stuttered and fluent speech production: An ALE meta-analysis of functional neuroimaging studies.Human Brain Mapping, 25(1), 105-117.
Carson, S. H., Peterson, J. B., & Higgins, D. M. (2003). Decreased latent inhibition is associated with increased creative achievement in high-functioning individuals.Journal of Personality and Social Psychology, 85(3), 499-506.
Chen, Q.-L., Xu, T., Yang, W.-J., Li, Y.-D., Sun, J.-Z., Wang, K.-C., … Qiu, J. (2015). Individual differences in verbal creative thinking are reflected in the precuneus.Neuropsychologia, 75, 441-449.
Chen, X., Liu, C., He, H., Chang, X., Jiang, Y., Li, Y., … Yao, D. (2017). Transdiagnostic differences in the resting-state functional connectivity of the prefrontal cortex in depression and schizophrenia.Journal of Affective Disorders, 217, 118-124.
Dietrich, A., & Kanso, R. (2010). A review of EEG, ERP, and neuroimaging studies of creativity and insight.Psychological Bulletin, 136(5), 822-848.
Eysenck, H. J. (1993). Creativity and Personality: Suggestions for a Theory.Psychological Inquiry, 4(3), 147-178.
Fink, A., & Neubauer, A. C. (2006). EEG alpha oscillations during the performance of verbal creativity tasks: Differential effects of sex and verbal intelligence.International Journal of Psychophysiology, 62(1), 46-53.
Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005). The human brain is intrinsically organized into dynamic, anticorrelated functional networks.Proceedings of the National Academy of Sciences of the United States of America, 102(27), 9673-9678.
Gardini, S., Concari, L., Pagliara, S., Ghetti, C., Venneri, A., & Caffarra, P. (2011). Visuo-spatial imagery impairment in posterior cortical atrophy: A cognitive and SPECT study.Behavioural Neurology, 24(2), 123-132.
Gaser, C., & Schlaug, G. (2003). Brain Structures Differ between Musicians and Non-Musicians.The Journal of Neuroscience, 23(27), 9240-9245.
Grèzes, J., & Decety, J. (2001). Functional anatomy of execution, mental simulation, observation, and verb generation of actions: A meta-analysis.Human Brain Mapping, 12(1), 1-19.
Gui, D., Xu, S., Zhu, S., Fang, Z., Spaeth, A. M., Xin, Y., … Rao, H. (2015). Resting spontaneous activity in the default mode network predicts performance decline during prolonged attention workload.NeuroImage, 120, 323-330.
Guilford, J. P. (1967).The nature of human intelligence. New York: McGraw-Hill.
Guilford, J. P., & Christensen, P. R. (1973). The One-Way Relation Between Creative Potential and IQ.The Journal of Creative Behavior, 7(4), 247-252.
Hétu, S., Grégoire, M., Saimpont, A., Coll, M.-P., Eugène, F., Michon, P.-E., & Jackson, P. L. (2013). The neural network of motor imagery: An ALE meta-analysis.Neuroscience & Biobehavioral Reviews, 37(5), 930-949.
Hong, W., Zhao, Z., Shen, Z., Sun, B., Li, S., Mekbib, D. B., … Xu, D. (2019). Uncoupled relationship in the brain between regional homogeneity and attention function in first-episode, drug-naïve schizophrenia.Psychiatry Research: Neuroimaging, 294, 110990. https://doi.org/10.1016/j.pscychresns.2019.110990
Igelström, K. M., & Graziano, M. S. A. (2017). The inferior parietal lobule and temporoparietal junction: A network perspective.Neuropsychologia, 105, 70-83.
Jung-Beeman, M., Bowden, E. M., Haberman, J., Frymiare, J. L., Arambelliu, S., Greenblatt, R., … Kounios, J. (2004). Neural Activity When People Solve Verbal Problems with Insight.PLoS Biology, 2(4), E97. https://doi.org/10.1371/journal.pbio.0020097
Jung, R. E., Gasparovic, C., Chavez, R. S., Flores, R. A., Smith, S. M., Caprihan, A., & Yeo, R. A. (2009). Biochemical support for the “threshold” theory of creativity: A magnetic resonance spectroscopy study.The Journal of Neuroscience, 29(16), 5319-5325.
Jung, R. E., Mead, B. S., Carrasco, J., & Flores, R. A. (2013). The structure of creative cognition in the human brain.Frontiers in Human Neuroscience, 7(2), 330. https://doi.org/10.3389/fnhum.2013.00330
Kounios, J., Fleck, J. I., Green, D. L., Payne, L., Stevenson, J. L., Bowden, E. M., & Jung-Beeman, M. (2008). The origins of insight in resting-state brain activity.Neuropsychologia, 46(1), 281-291.
Ledberg, A., Åkerman, S., & Roland, P. E. (1998). Estimation of the Probabilities of 3D Clusters in Functional Brain Images.NeuroImage, 8(2), 113-128.
Li, C., Yang, G., Li, M., & Li, B. (2018). Fluid intelligence relates to the resting state amplitude of low-frequency fluctuation and functional connectivity: A multivariate pattern analysis.NeuroReport, 29(1), 8-12.
Li, D. (1989).The handbook of Combined Raven's Test in Chinese version (in Chinese). Shanghai, China: East China Normal University.
Li, W., Li, G., Ji, B., Zhang, Q., & Qiu, J. (2019). Neuroanatomical Correlates of Creativity: Evidence From Voxel-Based Morphometry.Frontiers in Psychology, 10, 155. https://doi.org/10.3389/fpsyg.2019.00155
Li, W., Yang, J., Zhang, Q., Li, G., & Qiu, J. (2016). The Association between Resting Functional Connectivity and Visual Creativity.Scientific Reports, 6, 25395. https://doi.org/10.1038/srep25395
Lin, J., Cui, X., Dai, X., Chen, Y., & Mo, L. (2018). Neural correlates of creative insight: Amplitude of low-frequency fluctuation of resting-state brain activity predicts creative insight.PLoS ONE, 13(8), e0203071. https://doi.org/10.1371/journal.pone.0203071
Lin, J., Cui, X., Dai, X., & Mo, L. (2018). Regional Homogeneity Predicts Creative Insight: A Resting-State fMRI Study.Frontiers in Human Neuroscience, 12, 210. https://doi.org/10.3389/fnhum.2018.00210
Lundstrom, B. N., Ingvar, M., & Petersson, K. M. (2005). The role of precuneus and left inferior frontal cortex during source memory episodic retrieval.NeuroImage, 27(4), 824-834.
Luo, J., Li, W., Qiu, J., Wei, D., Liu, Y., & Zhang, Q. (2013). Neural Basis of Scientific Innovation Induced by Heuristic Prototype.PLoS ONE, 8(1), e49231. https://doi.org/10.1371/journal.pone.0049231
Martindale, C. (1999). Biological bases of creativity. In R. J. Sternberg (Ed.),Handbook of creativity. (pp. 137-152). New York, NY, US: Cambridge University Press.
Mednick, S. A. (1962). The associative basis of the creative process.Psychological Review, 69(3), 220-232.
Miller, G. F., & Tal, I. R. (2007). Schizotypy versus openness and intelligence as predictors of creativity.Schizophrenia Research, 93(1-3), 317-324.
Mitchell, J. P. (2008). Activity in right temporo-parietal junction is not selective for theory-of-mind.Cerebral Cortex, 18(2), 262-271.
Nusbaum, E. C., & Silvia, P. J. (2011). Are intelligence and creativity really so different? Fluid intelligence, executive processes, and strategy use in divergent thinking. Intelligence, 39(1), 36-45.
Ogawa, T., Aihara, T., Shimokawa, T., & Yamashita, O. (2018). Large-scale brain network associated with creative insight: Combined voxel-based morphometry and resting-state functional connectivity analyses.Scientific Reports, 8(1), 6477. https://doi.org/10.1038/s41598-018-24981-0
Pinho, A. L., Ullén, F., Castelo-Branco, M., Fransson, P., & de Manzano, Ö. (2015). Addressing a Paradox: Dual Strategies for Creative Performance in Introspective and Extrospective Networks.Cerebral Cortex, 26(7), 3052-3063.
Qiu, J., Li, H., Jou, J., Liu, J., Luo, Y., Feng, T., … Zhang, Q. (2010). Neural correlates of the “Aha” experiences: Evidence from an fMRI study of insight problem solving.Cortex, 46(3), 397-403.
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001). A default mode of brain function.Proceedings of the National Academy of Sciences, 98(2), 676-682.
Shen, W., Yuan, Y., Liu, C., Luo, J., Shen, W., Yuan, Y., … Luo, J. (2017). The roles of the temporal lobe in creative insight: An integrated review.Thinking & Reasoning, 23(4), 321-375.
Song, X. W., Dong, Z. Y., Long, X. Y., Li, S. F., Zuo, X. N., Zhu, C. Z., … Zang, Y. F. (2011). REST: A toolkit for resting-state functional magnetic resonance imaging data processing.PLoS ONE, 6(9), e25031. https://doi.org/10.1371/journal.pone.0025031
Subramaniam, K., Kounios, J., Parrish, T. B., & Jung-Beeman, M. (2009). A Brain Mechanism for Facilitation of Insight by Positive Affect.Journal of Cognitive Neuroscience, 21(3), 415-432.
Takeuchi, H., Taki, Y., Hashizume, H., Sassa, Y., Nagase, T., Nouchi, R., & Kawashima, R. (2011a). Cerebral Blood Flow during Rest Associates with General Intelligence and Creativity.PLoS ONE, 6(9), e25532. https://doi.org/10.1371/journal.pone.0025532
Takeuchi, H., Taki, Y., Hashizume, H., Sassa, Y., Nagase, T., Nouchi, R., & Kawashima, R. (2011b). Failing to deactivate: The association between brain activity during a working memory task and creativity.NeuroImage, 55(2), 681-687.
Takeuchi, H., Taki, Y., Hashizume, H., Sassa, Y., Nagase, T., Nouchi, R., & Kawashima, R. (2012). The association between resting functional connectivity and creativity.Cerebral Cortex, 22(12), 2921-2929.
Takeuchi, H., Taki, Y., Nouchi, R., Yokoyama, R., Kotozaki, Y., Nakagawa, S., … Kawashima, R. (2017). Regional homogeneity, resting-state functional connectivity and amplitude of low frequency fluctuation associated with creativity measured by divergent thinking in a sex-specific manner.NeuroImage, 152, 258-269.
Tang, Y. Y., Rothbart, M. K., & Posner, M. I. (2012). Neural correlates of establishing, maintaining, and switching brain states.Trends in Cognitive Sciences, 16(6), 330-337.
Villarreal, M. F., Cerquetti, D., Caruso, S., Schwarcz López Aranguren, V., Gerschcovich, E. R., Frega, A. L., & Leiguarda, R. C. (2013). Neural correlates of musical creativity: Differences between high and low creative subjects.PLoS ONE, 8(9), e75427. https://doi.org/10.1371/journal.pone.0075427
Wang, L., Song, M., Jiang, T., Zhang, Y., & Yu, C. (2011). Regional homogeneity of the resting-state brain activity correlates with individual intelligence.Neuroscience Letters, 488(3), 275-278.
Wei, L., Duan, X., Yang, Y., Liao, W., Gao, Q., Ding, J. R., … Chen, H. (2011). The synchronization of spontaneous BOLD activity predicts extraversion and neuroticism.Brain Research, 1419, 68-75.
Wertz, C. J., Chohan, M. O., Flores, R. A., & Jung, R. E. (2020). Neuroanatomy of creative achievement.NeuroImage, 209, 116487. https://doi.org/10.1016/j.neuroimage.2019.116487
Yan, C. G., & Zang, Y. F. (2010). DPARSF: A MATLAB toolbox for “pipeline” data analysis of resting-state fMRI.Frontiers in Systems Neuroscience, 4, 13. https://doi.org/10.3389/fnsys.2010.00013
Yang, H., Long, X. Y., Yang, Y., Yan, H., Zhu, C. Z., Zhou, X. P., … Gong, Q. Y. (2007). Amplitude of low frequency fluctuation within visual areas revealed by resting-state functional MRI.NeuroImage, 36(1), 144-152.
Zang, Y., Jiang, T., Lu, Y., He, Y., & Tian, L. (2004). Regional homogeneity approach to fMRI data analysis.NeuroImage, 22(1), 394-400.
Zang, Y. F., He, Y., Zhu, C. Z., Cao, Q. J., Sui, M. Q., Liang, M., … Wang, Y. F. (2007). Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI.Brain and Development, 29(2), 83-91.
Zhang, H., Liu, J., & Zhang, Q. (2013). Neural Correlates of the Perception for Novel Objects.PLoS ONE, 8(4), e62979. https://doi.org/10.1371/journal.pone.0062979
Zou, Q., Ross, T. J., Gu, H., Geng, X., Zuo, X. N., Hong, L. E., … Yang, Y. (2013). Intrinsic resting-state activity predicts working memory brain activation and behavioral performance.Human Brain Mapping, 34(12), 3204-3215.
Zou, Q. H., Zhu, C. Z., Yang, Y., Zuo, X. N., Long, X. Y., Cao, Q. J., … Zang, Y. F. (2008). An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: Fractional ALFF.Journal of Neuroscience Methods, 172(1), 137-141.
杜秀敏, 张娇娜, 张庆林. (2015). 中文远距离联想任务是否是真顿悟之探讨. 西南大学学报(自然科学版), 37(4), 83-87.
黄福荣, 周治金, 赵庆柏. (2013). 汉语成语谜语问题解决中思路竞争的眼动研究. 心理学报, 45(1), 35-46.
李文福, 童丹丹, 邱江, 张庆林. (2016). 科学发明问题解决的脑机制再探. 心理学报, 48(4), 331-342.
罗劲. (2004). 顿悟的大脑机制. 心理学报, 36(2), 219-234.
王烨, 余荣军, 周晓林. (2005). 创造性研究的有效工具——远距离联想测验. 心理科学进展, 13(6), 734-738.
张庆林, 田燕, 邱江. (2012). 顿悟中原型激活的大脑自动响应机制:灵感机制初探. 西南大学学报(自然科学版), 34(9), 1-10.
[1] 童丹丹, 史靖靖, 禄鹏, 彭晨宇, 李文福, 张庆林, 邱江. 感觉寻求与模糊容忍度对科学发明问题提出的影响[J]. 心理发展与教育, 2024, 40(6): 774-781.
[2] 史滋福, 周志豪, 许磊, 陈火红, 管锦亮, 刘承珍. 父母消极教养方式与大学生恶意创造性行为的关系:有调节的中介模型[J]. 心理发展与教育, 2024, 40(6): 808-815.
[3] 韩建涛, 钱俊妮, 张婕妤, 庞维国. 创造力与大学生生命意义感:积极情绪和创造性自我效能感的作用[J]. 心理发展与教育, 2024, 40(2): 187-195.
[4] 张慧如, 张伟达, 傅王倩, 邓敏, 彭苏浩, 李玉. 孤独感对创造性倾向的影响:无聊倾向和焦虑情绪的中介作用[J]. 心理发展与教育, 2024, 40(1): 132-141.
[5] 李玉华, 王桐, 刘悦, 俞劼, 林崇德. 教师创造性教学行为与小学生创造性思维的关系:有调节的中介模型[J]. 心理发展与教育, 2022, 38(4): 513-519.
[6] 刘文, 王依宁, 张嘉琪, 车翰博. 9~11岁儿童创造性人格与欺骗行为的关系:亲子沟通质量的调节作用[J]. 心理发展与教育, 2021, 37(4): 508-516.
[7] 胡卫平, 赵晓媚, 贾培媛, 陈英和. 学思维网络活动对小学生创造性的影响:认知风格的调节作用[J]. 心理发展与教育, 2017, 33(3): 257-264.
[8] 舒曾, 贺琼, 李晓敏, 张晶, 张月寒, 方晓义. 母亲养育压力对幼儿创造性人格的影响:教养方式的中介作用[J]. 心理发展与教育, 2016, 32(3): 276-284.
[9] 师保国, 王黎静, 徐丽, 刘霞. 师生关系对小学生创造性的作用:一个有调节的中介模型[J]. 心理发展与教育, 2016, 32(2): 175-182.
[10] 刘春晖, 林崇德. 个体变量、材料变量对大学生创造性问题提出能力的影响[J]. 心理发展与教育, 2015, 31(5): 513-521.
[11] 李文福, 龚正霞, 邱江, 张庆林. 午睡剥夺对科学发明问题解决中的原型启发效应的影响[J]. 心理发展与教育, 2015, 31(2): 165-170.
[12] 孙鹏, 邹泓, 杜瑶琳. 青少年创造性思维的特点及其对日常创造性行为的影响:人格的中介作用[J]. 心理发展与教育, 2014, 30(4): 355-362.
[13] 谷传华, 张笑容, 陈洁, 郝恩河, 王亚丽. 状态与特质之分:来自社会创造性的证据[J]. 心理发展与教育, 2013, 29(5): 483-490.
[14] 杨小洋, 李歆瑶, 周晖. 中学生个人认识论对创造性思维的影响:自我提问的调节作用分析[J]. 心理发展与教育, 2012, 28(6): 603-610.
[15] 陈群林, 罗俊龙, 蒋军, 位东涛, 张庆林. 无意识加工对创造性问题解决的促进效应[J]. 心理发展与教育, 2012, 28(6): 569-575.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!