Psychological Development and Education ›› 2016, Vol. 32 ›› Issue (2): 139-148.doi: 10.16187/j.cnki.issn1001-4918.2016.02.02

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Does Neural Responses to Categorization Depend on Cognitive Style: An Evidence from fMRI Study

MA Junpeng1, YE Zhuoer2, LIN Yi3, GAO Hongwei4, HUANG Ping3, LIN Huiyan5, XU Huan1, YANG Nan1, JIN Hua13   

  1. 1. Academy of Psychology and Behavior, Tianjin normal university, Tianjin 300074;
    2. 21cn. com, Guangzhou 510630;
    3. Academy of Psychology in South China Normal University, Guangzhou 510631;
    4. Songpengying Middle School, Zunhua, 064204;
    5. Institute of Medical Psychology and Systems Neuroscience, University of Muenster 48149 Muenster, Germany
  • Online:2016-03-15 Published:2016-03-15

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Abstract: Cognitive style has been found to modulate behavioral responses related to categorization. However, it is still unclear whether neural activity related to categorization is influenced by cognitive style. Therefore, the present study aimed to investigate whether different cognitive styles, such as wholist and analytic, differ in neural activity during a categorization task. In this categorization task, wholist and analytic participants were asked to choose which alternative object matched with the target object. Blood oxygenation level-dependent (BOLD) activation was assessed by means of the functional magnetic resonance imaging (fMRI). Results showed that the categorization task activated more strongly in the frontal-occipital network (e.g., inferior frontal gyrus, precuneus and middle occipital gyrus) than did the control task, regardless of cognitive style, suggesting that wholist and analytic individuals may share certain regions related to working memory. More importantly, wholist compared to analytic participants showed greater activity in right inferior frontal gyrus and right parahippocampal gyrus. The findings indicate that cognitive style alters brain activity during categorization. In addition, the dominance of the right hemisphere for the wholist may be suggested to be related to the enhanced remote semantic connections during categorization.

Key words: categorization, cognitive style, right inferior frontal gyrus, right parahippocampal

CLC Number: 

  • B844
Aglioti, S. M., Cesari, P., Romani, M., & Urgesi, C. (2008). Action anticipation and motor resonance in elite basketball players. Nature Neuroscience, 11(9), 1109-1116.
Allport, G. W. (1937). Personality:A psychological interpretation. New York:Holt.
Asano,K., Taki,Y., Hashizume,H., Sassa,Y., Thyreau,B., Asano,M., & Kawashima,R. (2014). Healthy children show gender differences in correlations between nonverbal cognitive ability and brain activation during visual perception. Neuroscience letters, 577, 66-71.
Ausburn,L.J., & Ausburn,F.B. (1978). Cognitive styles:Some information and implications for instructional design. Educational Communication and Technology, 26, 337-354.
Baddeley, A. (1992). Working Memory. Science, 255(5044), 556-559.
Baddeley, A.D. (2000). The episodic buffer:a new component of working memory?. Trends in Cognitive Science, 4(11),417-423
Baddeley, A.D. (2001). Is working memory still working?. American Psychologist,56,851-864
Bashivan, P., Bidelman, G. M., & Yeasin, M. (2014). Spectrotemporal dynamics of the EEG during working memory encoding and maintenance predicts individual behavioral capacity. European Journal of Neuroscience, 40(12), 3774-3784.
Beeman, M. J., & Bowden, E. M. (2000). The right hemisphere maintains solution-related activation for yet-to-be-solved problems. Memory & Cognition, 28(7), 1231-1241.
Beeman, M., Friedman, R., Grafman, J., Perez, E., Diamond, S., & Lindsay, M. (1994). Summation priming and coarse semantic coding in the right hemisphere. Cognitive Neuroscience, 6(1), 26-45.
Beilock, S. L., Lyons, I. M., Mattarella-Micke, A., Nusbaum, H. C., & Small, S. L. (2008). Sports experience changes the neural processing of action language. Proceedings of the National Academy of Sciences, 105(36), 13269-13273.
Berry, J. W. (1966). Temne and eskimo perceptual skills. International journal of Psychology, 1(3), 207-229.
Chee, M. W., Weekes, B., Lee, K. M., Soon, C. S., Schreiber, A., Hoon, J. J., & Chee, M. (2000). Overlap and dissociation of semantic processing of Chinese characters, English words, and pictures:evidence from fMRI. Neuroimage,12(4), 392-403.
Choi,I., Nisbett,R. E., & Norenzayan A. (1999). Causal Attribution Across Cultures:Variation and Universality. Psychological Bulletin, 125(1), 47-63.
Clark, H., & Roof, K. D. (1988). Field dependence and strategy use. Perceptual and Motor Skills, 66(1), 303-307.
Collins, A. M., & Loftus, E. F. (1975). A spreading-activation theory of semantic processing. Psychological Review,82(6), 407.
Corbetta, M., Kincade, J. M., Ollinger, J. M., McAvoy,M. P., & Shulman, G. L. (2000). Voluntary orienting is dissociated from target detection in human posterior parietal cortex. Nature Neuroscience, 3(3), 292-297.
Damarla, S. R., Keller, T. A, Kana,R. K., Cherkassky, V. L., Williams, D. L., Minshew, N. J., & Just, M. A. (2010). Cortical underconnectivity coupled with preserved visuospatial cognition in autism:Evidence from an fMRI study of an embedded figures task. Autism Research, 3(5), 273-279
Demir, Ö. E., Prado, J., & Booth, J. R. (2014). The Differential Role of Verbal and Spatial Working Memory in the Neural Basis of Arithmetic. Developmental Neuropsychology, 39(6), 440-458.
Duffy, S., & Kitayama,S. (2007). Mnemonic Context Effect in Two Cultures:Attention to Memory Representations? Cognitive Science, 31, 1-12.
Duffy, S., Toriyama, R., Itakura, S., & Kitayama, S. (2009). Development of cultural strategies of attention in North American and Japanese children. Journal of Experimental Child Psychology, 102(3), 351-359
Evans, J. B. T. & Over, D. E. (1996). Rationality and reasoning. Hove:Psychology Press.
Faust, M., & Lavidor, M. (2003). Semantically convergent and semantically divergent priming in the cerebral hemispheres:Lexical decision and semantic judgment. Cognitive Brain Research, 17(3), 585-597.
Fegen, D., Buchsbaum, B. R., & D'Esposito, M. (2015). The effect of rehearsal rate and memory load on verbal working memory. NeuroImage, 105, 120-131.
Filoteo, J. V., Maddox, W. T., Simmons, A. N., Ing, A. D., Cagigas, X. E., Matthews, S., & Paulus, M. P. (2005). Cortical and subcortical brain regions involved in rule-based category learning. Neuroreport, 16(2), 111-115.
Fonville, L., Lao-Kaim, N. P., Giampietro, V., Van den Eynde, F., Davies, H., Lounes, N., & Tchanturia, K. (2013). Evaluation of enhanced attention to local detail in anorexia nervosa using the embedded figures test; an FMRI study. PloS one, 8(5), e63964.
Foxe, J. J., Simpson, G. V., & Ahlfors, S. P. (1998). Parieto-occipital 10Hz activity reflects anticipatory state of visual attention mechanisms. Neuroreport, 9(17), 3929-3933.
Freedman, D. J., Riesenhuber, M., Poggio, T., & Miller, E. K. (2001). Categorical representation of visual stimuli in the primate prefrontal cortex. Science, 291, 312-316.
Goode, P. E., Goddard, P. H., & Pascual-Leone, J. (2002). Event-related potentials index cognitive style differences during a serial-order recall task. International Journal of Psychophysiology, 43(2), 123-140
Gutchess, A. H., Hedden, T., Ketay, S., Aron, A., & Gabrieli, J. D. E., (2010). Neural differences in the processing of semantic relationships across cultures. Social Cognitive and Affective Neuroscience, 1-10.
Hsu, N. S., Kraemer, D. J., Oliver, R. T., Schlichting, M. L., & Thompson-Schill, S. L. (2011). Color, context, and cognitive style:Variations in color knowledge retrieval as a function of task and subject variables. Journal of Cognitive Neuroscience, 23(9), 2544-2557.
James, W. (1890). The principles of psychology. New York:Dover.
Jenkins, L. J., Yang, Y. J., Goh, J., Hong, Y. Y., & Park, D. C. (2010). Cultural differences in the lateral occipital complex while viewing incongruent scenes. Social Cognitive and Affective Neuroscience, 5(2-3), 236-241.
Ji,L., Zhang,Z., & Nisbett,R. E. (2004). Is It Culture or Is It Language? Examination of Language Effects in Cross-Cultural Research on Categorization. Journal of Personality and Social Psychology, 87(1), 57-65
Jung-Beeman, M., Bowden, E. M., Haberman, J., Frymiare, J. L., Arambel-Liu, S., Greenblatt, R., & Kounios, J. (2004). Neural activity when people solve verbal problems with insight. PLoS biology, 2(4), e97.
Klein, D. E., & Murphy, G. L. (2002). Paper has been my ruin:Conceptual relations of polysemous senses. Journal of Memory and Language, 47(4), 548-570.
Kozhevnikov, M. (2007). Cognitive styles in the context of modern psychology:toward an integrated framework of cognitive style. Psychological bulletin, 133(3), 464.
Kounios, J., Frymiare, J. L., Bowden, E. M., Fleck, J. I.,Subramaniam, K., & Parrish, T. B., et al. (2006). The prepared mind:Neural activity prior to problem presentation predicts subsequent solution by sudden insight. Psychological Science, 17(10), 882-891
Kuperberg, G. R., Lakshmanan, B. M., Caplan, D. N., & Holcomb, P. J. (2006). Making sense of discourse:An fMRI study of causal inferencing across sentences. Neuroimage, 33(1), 343-361.
Lee, P. S., Foss-Feig, J., Henderson, J. G., Kenworthy, L. E., Gilotty,L., Gaillard, W. D., & Vaidya, C.J. (2007). Atypical neural substrates of Embedded Figures Task performance in children with Autism Spectrum Disorder. Neuroimage, 38(1), 184-193
Liu, Y., Bengson, J., Huang, H., Mangun, G. R., & Ding, M. (2014). Top-down modulation of neural activity in anticipatory visual attention:Control mechanisms revealed by simultaneous EEG-fMRI. Cerebral Cortex, bhu204.
Luck, D., Danion, J. M., Marrer, C., Pham, B. T., Gounot, D., & Foucher, J. (2010). The right parahippocampal gyrus contributes to the formation and maintenance of bound information in working memory. Brain and Cognition, 72(2), 255-263.
Manjaly, Z. M., Bruning, N., Neufang, S., Stephan, K. E., Brieber, S., Marshall, J. C.,Fink, G. R. (2007). Neurophysiological correlates of relatively enhanced local visual search in autistic adolescents. Neuroimage, 35(1), 283-291.
McCool, M., & St Amant, K. (2009). Field dependence and classification:Implications for global information systems. Journal of the American Society for Information Science and Technology, 60(6), 1258-1266.
Meng, X., Mao, W., Sun, W., Zhang, X., Han, C., Lu, C., & Wang, Y. (2012). Event-related potentials in adolescents with different cognitive styles:field dependence and field independence. Experimental brain research, 216(2), 231-241
Miyamoto, Y. (2013). Culture and analytic versus holistic cognition:Toward multilevel analyses of cultural influences. Advances in Experimental Social Psychology, 47, 131-188.
Neisser, U. (1963). The multiplicity of thought. British Journal of Psychology,54, 1-14.
Nisbett, R. E., & Miyamoto, Y. (2005). The influence of culture holistic versus analytic perception. Trends in Cognitive Sciences,9,467-473.
Nisbett, R. E., Peng, K., Choi, I., & Norenzayan, A. (2001).Culture and Systems of Thought:Holistic Versus Analytic Cognition. Psychological Review, 108,291-301.
Norenzayan,A., & Nisbett,R. E. (2000). Culture and Causal Cognition. 9(4).
Norenzayan, A., Smith, E. E., Kim, B. J., & Nisbett R. E., (2002) Cultural preferences for formal versus intuitive reasoning. Cognitive Science,26,653-684.
Qin, S., Piekema, C., Petersson, K. M., Han, B., Luo, J., & Fernández, G.. (2007). Probing the transformation of discontinuous associations into episodic memory:an event-related fMRI study. Neuroimage, 38(1), 212-222.
Ollinger,J. M., Corbetta,M., & Shulman,G. L. (2001). Separating Processes within a Trial in Event-Related Functional MRI Ⅱ. Analysis. NeuroImage, 13, 218-229.
Riding, R. J. (1991). Cognitive styles analysis. Learning and Training Technology, Birmingham.
Riding R.J, & Cheema I. (1991). Cognitive style-an overview and integration. Educational Psychology, 11,193-216.
Rips L.J. (1989). Similarity, typicality, and categorization. Cambridge: Cambridge University Press.
Smith, E. E., Langston, C., & Nisbett, R. E. (1992). The case for rules in reasoning. Cognitive Science, 16, 1-40.
Smith, J. D., Beran, M. J., Crossley, M. J., Boomer, J. T. & Ashby, F. G.. (2010). Implicit and explicit category learning by Macaques (Macaca mulatta) and Humans (Homo sapiens). Journal of Experimental Psychology:Animal Behavior Processes,36, 54-65.
Smith, E. E., Jonides, J., Marshuetz, C., & Koeppe, R. A. (1998). Components of verbal working memory:evidence from neuroimaging. Proceedings of the National Academy of Sciences, 95(3), 876-882.
Soto, D., Rotshtein, P., & Kanai, R. (2014). Parietal structure and function explain human variation in working memory biases of visual attention. Neuroimage, 89, 289-296.
Tomasino, B., Maieron, M., Guatto, E., Fabbro, F., & Rumiati, R. I. (2013). How are the motor system activity and functional connectivity between the cognitive and sensorimotor systems modulated by athletic expertise?. Brain research, 1540, 21-41.
Unsworth, S. J., & Medin, D. L., (2005). Cultural Differences in Belief Bias Associated with Deductive Reasoning. Cognitive Science, 29,525-529
Uskul, A. K., Kltayama, S., & Nisbett, R. E. (2008).Ecocultural basis of cognition:Farmers and fishermen are more holistic than herders. Proceedings of the National Academy of Sciences, 105,8552-8556
Von Stein, A., & Sarnthein, J. (2000) Different frequencies for different scales of cortical integration:from local gamma to long range alpha/theta synchronization. Int. J. Psychophysiol., 38, 301-313.
Walter, E., & Dassonville, P. (2011). Activation in a frontoparietal cortical network underlies individual differences in the performance of an embedded figures task. PloS one, 6(7), e20742.
Yusoff, A. N., Manan, H. A., Mukari, S. Z. M. S., Hamid, K. A., & Franz, E. A. (2014). Brain Activation and Psychophysiologic Interaction in Association with a Phonological Working Memory Task. Modern Applied Science, 8(5), p97.
Zarnhofer, S., Braunstein, V., Ebner, F., Koschutnig, K., Neuper, C., Reishofer, G., & Ischebeck, A. (2012). The influence of verbalization on the pattern of cortical activation during mental arithmetic. Behav Brain Funct, 8(1), 13.
Zhang, Q., Jiao, L., & Cui, L. (2014). Influence of emotional context on concreteness effects in words processing for field-independent and field-dependent individuals. Neuroreport,25(9),661-667.
方燕红, 张积家. (2009). 汉字词和图片命名与分类的比较. 心理学报, (2), 114-126.
郝鑫. (2014). 认知风格与创造性思维的关系. 西南大学.
李虹. (1985). 用分类关系与主题关系说明儿童感受词义的能力——认知发展研究方法介绍. 心理发展与教育, (1), 43-48.
李文福, 郝鑫, 张庆林. (2013). 认知风格在脑结构和静息态功能上的个体差异研究. 心理学与创新能力提升——第十六届全国心理学学术会议论文集.
李瑛. (2014). 语义类顿悟问题解决的认知神经机制及其影响因素研究 (硕士学位论文, 华中师范大学).
毛艳. (2010). 场依存性与场独立性个体在认知控制中的基本脑机制及其时间进程的 ERP 研究 (硕士学位论文,西南大学)
宋娟, 吕勇, 沈德立. (2012). 物体分类任务中线索效应的ERP研究.心理发展与教育, 28(2), 113-120.
孙华. (2011). 不同认知方式个体的视觉整体优先性研究 (博士学位论文, 山东师范大学, 201l).
王敏. (2012). 不同认知方式个体在视空间工作记忆任务中的差异研究 (硕士学位论文, 山东师范大学).
杨治良, 郭力平. (2001). 认知风格的研究进展. 心理科学, 24(3), 326-329.
赵晓宇. (2014). 基于人类记忆激活扩散过程的知识推荐模型研究 (硕士学位论文, 上海大学).
张积家, 王娟, 刘鸣. (2011). 英文词,汉字词,早期文字和图画的认知加工比较. 心理学报, 43(4),347-363.
张佳昱, 苏彦捷. (2008). 主题还是分类学?对事物分类倾向的发展研究.心理科学,31(6), 1322-1325.
朱海雪, 杨春娟, 李文福, 刘鑫, 邱江, 张庆林. (2012). 问题解决中顿悟的原型位置效应的 fMRI 研究. 心理学报, 8, 005.
张运红. (2009). 工作记忆匹配加工影响情景提取的脑机制研究 (博士学位论文, 北京:首都师范大学).
佐斌, 张晓斌. (2011). 类别学习和分类运用的神经机制. 心理科学进展, 19(6),843-852.
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