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一味坚持还是灵活变换:换牌频率的神经结构基础和认知机制

本站小编 Free考研考试/2022-01-01

孙雅晨1#, 张汉其2,3#, 李勇辉4, 薛贵2(), 何清华1,4()
1 西南大学心理学部, 教育部认知与人格重点实验室, 重庆市脑科学协同创新中心西南大学分中心, 重庆 400715
2 北京师范大学心理学部, 认知神经科学与学习国家重点实验室, 北京 100875
3 北京大学心理与认知科学学院, 北京 100871
4 中国科学院心理研究所, 中国科学院心理健康重点实验室, 北京 100101
收稿日期:2017-10-24出版日期:2018-11-30发布日期:2018-10-30


基金资助:* 国家自然科学基金(31400959);国家自然科学基金委员会与德国科学基金会合作研究项目(NSFC61621136008/DFGTRR-169);广东省创新团队珠江团队计划项目(2016ZT06S220);2017年重庆市留学回国人员创业创新支持计划(cx2017049);中央高校基本科研业务费专项资金项目(SWU1809003);中国科学院心理健康重点实验室开放课题基金(KLMH2015G01)

To switch or not to switch?Cognitive and neural mechanisms of card switching behavior

SUN Yachen1#, ZHANG Hanqi2,3#, LI Yonghui4, XUE Gui2(), HE Qinghua1,4()
1 Faculty of Psychology, Key Lab of Cognition and Personality, Chongqing Collaborative Innovation Center for Brain Science, Southwest University, Chongqing 400715, China
2 Faculty of Psychology, National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
3 School of Psychology and Cognitive Sciences, Peking University, Beijing 100871, China
4 Institute of Psychology, Key Laboratory of Mental Health, Chinese Academy of Sciences, Beijing 100101, China
Received:2017-10-24Online:2018-11-30Published:2018-10-30







摘要/Abstract


摘要: 决策是每个人每天都会进行的活动。二择一时, 有人择一而终, 有人变换不定。这种个体差异可能与坚持性人格和认知灵活性有关。本研究旨在探讨这种行为特征背后的认知神经机制, 以便进一步理解决策变换中存在的个体差异。本研究采用了单变量和多变量体素形态学分析的方法分析了350名大学生(其中女性194人, 平均年龄19.97岁)在随机猜牌任务中的换牌频率与大脑灰质体积的相关情况, 探讨了坚持性人格特质和认知灵活性与换牌频率的关系, 并考察了两者在大脑灰质体积与换牌频率中的中介作用。单变量和多变量体素形态学分析结果都表明, 左侧后扣带回、右侧额中回、右侧额极和右侧脑岛区域的灰质体积可以预测被试的换牌频率; 坚持性人格和认知灵活性在其中起到了中介作用。这些结果阐释了换牌频率个体差异的认知机制和神经基础, 对理解为何有的人一味坚持, 而有的人灵活变换背后的原因提供了理论基础, 同时为开发改善非理性决策行为的方法提供了重要的参考价值。



图1随机猜牌任务程序示意图
图1随机猜牌任务程序示意图



图2被试换牌频率的分布直方图
图2被试换牌频率的分布直方图


表1坚持性和认知灵活性的描述统计及其与换牌频率的相关
认知机制 平均数 ± 标准差 与换牌频率的相关
坚持性 116.81 ± 16.61 r (249) = -0.23, p <.001
认知灵活性 4.99 ± 2.16 r (249) = -0.20, p <.001

表1坚持性和认知灵活性的描述统计及其与换牌频率的相关
认知机制 平均数 ± 标准差 与换牌频率的相关
坚持性 116.81 ± 16.61 r (249) = -0.23, p <.001
认知灵活性 4.99 ± 2.16 r (249) = -0.20, p <.001


表2灰质体积与换牌频率呈正相关的脑区
脑区 左/右半球 体素数量 p MNI坐标x MNI坐标y MNI坐标z
后扣带回 1788 0.01 6 -44 22
后扣带回 0.03 -14 -48 34
楔前叶 0.02 -10 -64 26
楔前叶 0.02 10 -58 26
额中回 1522 0.01 -34 24 32
脑岛 0.04 -36 8 2
壳核 0.02 -28 -2 -8
额中回 792 0.01 46 10 50
额极 116 0.03 -34 40 2

表2灰质体积与换牌频率呈正相关的脑区
脑区 左/右半球 体素数量 p MNI坐标x MNI坐标y MNI坐标z
后扣带回 1788 0.01 6 -44 22
后扣带回 0.03 -14 -48 34
楔前叶 0.02 -10 -64 26
楔前叶 0.02 10 -58 26
额中回 1522 0.01 -34 24 32
脑岛 0.04 -36 8 2
壳核 0.02 -28 -2 -8
额中回 792 0.01 46 10 50
额极 116 0.03 -34 40 2



图3灰质体积与换牌频率正相关的脑区(R表示被试右侧区域)
图3灰质体积与换牌频率正相关的脑区(R表示被试右侧区域)


表3灰质体积与换牌频率呈负相关的脑区
脑区 大脑半球 体素数量 p MNI坐标x MNI坐标y MNI坐标z
颞上回 1541 0.05 66 -16 6
脑岛 0.04 34 -26 12
颞叶 998 0.01 60 12 -26
内侧颞叶 379 0.02 18 -10 -22
颞叶 280 0.02 -56 16 30

表3灰质体积与换牌频率呈负相关的脑区
脑区 大脑半球 体素数量 p MNI坐标x MNI坐标y MNI坐标z
颞上回 1541 0.05 66 -16 6
脑岛 0.04 34 -26 12
颞叶 998 0.01 60 12 -26
内侧颞叶 379 0.02 18 -10 -22
颞叶 280 0.02 -56 16 30



图4灰质体积与换牌频率负相关的脑区(R表示被试右侧区域)
图4灰质体积与换牌频率负相关的脑区(R表示被试右侧区域)


表4可以预测换牌频率的脑区
脑区 大脑半球 体素数量 预测准确性 MNI坐标x MNI坐标y MNI坐标z
额中回 222 0.18 -38 22 32
额中回 128 0.16 48 8 48
脑岛 75 0.16 30 -26 20
额极 18 0.16 16 50 46
后扣带回 10 0.15 -2 -44 24

表4可以预测换牌频率的脑区
脑区 大脑半球 体素数量 预测准确性 MNI坐标x MNI坐标y MNI坐标z
额中回 222 0.18 -38 22 32
额中回 128 0.16 48 8 48
脑岛 75 0.16 30 -26 20
额极 18 0.16 16 50 46
后扣带回 10 0.15 -2 -44 24



图5可以预测换牌频率的脑区(R表示被试右侧区域)
图5可以预测换牌频率的脑区(R表示被试右侧区域)



图6中介效应模型
图6中介效应模型







1 Aron A.R . ( 2011). From reactive to proactive and selective control: Developing a richer model for stopping inappropriate responses. Biological Psychiatry, 69( 12), e55-e68.
doi: 10.1016/j.biopsych.2010.07.024
2 Baliki M. N., Geha P. Y., & Apkarian A. V . ( 2009). Parsing pain perception between nociceptive representation and magnitude estimation. Journal of Neurophysiology, 101( 2), 875-87.
3 Bechara A., Damasio H., Tranel D., & Damasio A. R . ( 1997). Deciding advantageously before knowing the advantageous strategy. Science, 275( 5304), 1293.
4 Bechara A., & Damasio A.R . ( 2005). The somatic marker hypothesis: A neural theory of economic decision. Games and Economic Behavior, 52( 2), 336-372.
doi: 10.1016/j.geb.2004.06.010URL
5 , , Bereczkei T., &Czibor A. , ( 2014). Personality and situational factors differently influence high Mach and low Mach persons’ decisions in a social dilemma game. Personality and Individual Differences, 64, 168-173.
doi: 10.1016/j.paid.2014.02.035URL
6 Clark L., Bechara A., Damasio H., Aitken M. R. F., Sahakian B. J., & Robbins T. W . ( 2008). Differential effects of insular and ventromedial prefrontal cortex lesions on risky decision-making. Brain, 131( 5), 1311-1322.
doi: 10.1093/brain/awn066URLpmid: 2367692
7 Cloninger C. R., Svrakic D. M., & Przybeck T. R . ( 1993). A psychobiological model of temperament and character. Archives of general psychiatry, 50( 12), 975-990.
doi: 10.1001/archpsyc.1993.01820240059008.URLpmid: 8250684
8 Daw N. D., O’doherty J. P., Dayan P., Seymour B., & Dolan R. J . ( 2006). Cortical substrates for exploratory decisions in humans. Nature, 441( 7095), 876-879.
9 De Martino B., Kumaran D., Seymour B., & Dolan R. J . ( 2006). Frames, Biases, and Rational Decision-Making in the Human Brain. Science, 313( 5787), 684-687.
doi: 10.1126/science.1128356URLpmid: 16888142
10 Dong X., Du X., & Qi B . ( 2016). Conceptual knowledge influences decision making differently in individuals with high or low cognitive flexibility: An ERP study. Plos One, 11( 8), e0158875.
doi: 10.1371/journal.pone.0158875URLpmid: 27479484
11 Feather N.T . ( 1962). The study of persistence. Psychological Bulletin, 59( 2), 94-115.
12 Gardini S., Cloninger C. R., & Venneri A . ( 2009). Individual differences in personality traits reflect structural variance in specific brain regions. Brain Research Bulletin, 79( 5), 265-270.
doi: 10.1016/j.brainresbull.2009.03.005URLpmid: 19480986
13 Green C. S., Benson C., Kersten D., & Schrater P . ( 2010). Alterations in choice behavior by manipulations of world model. Proceedings of the National Academy of Sciences of the United States of America, 107( 37), 16401-16406.
doi: 10.1073/pnas.1001709107URLpmid: 20805507
14 Hakamata Y., Lwase M., Lwata H., Kobayashi T., Tamaki T., Nishio M., … Lnada T . ( 2006). Regional brain cerebral glucose metabolism and temperament: A positron emission tomography study. Neuroscience Letters, 396( 1), 33-37.
doi: 10.1016/j.neulet.2005.11.017URLpmid: 16356648
15 Hanke M., Halchenko Y. O., Sederberg P. B., Hanson S. J., Haxby J. V., & Pollmann S . ( 2009). PyMVPA: A python toolbox for multivariate pattern analysis of fMRI data. Neuroinformatics, 7( 1), 37-53.
doi: 10.1007/s12021-008-9041-yURLpmid: 2664559
16 Heath A. C., Cloninger C. R., & Martin N. G . ( 1994). Testing a model for the genetic structure of personality: A comparison of the personality systems of Cloninger and Eysenck. Journal of personality and social psychology, 66( 4), 762-775.
doi: 10.1037/0022-3514.66.4.762URLpmid: 8189351
17 Heaton R., Chelune G., Talley J., Kay G., & Curtiss G . ( 1993). Wisconsin Card Sorting Test Manual: Revised and expanded. Odessa, FL: Psychological Assessment Resources.
18 Ishii H., Ohara S., Tobler P. N., Tsutsui K., & Iijima T . ( 2012). Inactivating anterior insular cortex reduces risk taking. Journal of Neuroscience the Official Journal of the Society for Neuroscience, 32( 45), 16031-16039.
doi: 10.1523/JNEUROSCI.2278-12.2012URLpmid: 23136439
19 Jimura K., & Poldrack R.A . ( 2012). Analyses of regional- average activation and multivoxel pattern information tell complementary stories. Neuropsychologia, 50( 4), 544-552.
doi: 10.1016/j.neuropsychologia.2011.11.007URLpmid: 22100534
20 Jung Y. C., Ku J., Namkoong K., Lee W., Kim S. I., & Kim J. J . ( 2010). Human orbitofrontal-striatum functional connectivity modulates behavioral persistence. Neuroreport, 21( 7), 502-6.
doi: 10.1097/WNR.0b013e3283383482URLpmid: 20357688
21 Kriegeskorte N., Goebel R., & Bandettini P . ( 2006). Information-based functional brain mapping. Proceedings of the National Academy of Sciences of the United States of America, 103( 10), 3863-3868.
doi: 10.1073/pnas.0600244103URLpmid: 16537458
22 &Macaskill A.C, Hackenberg T.D . ( 2012). The sunk cost effect with pigeons: Some determinants of decisions about persistence. Journal of the Experimental Analysis of Behavior, 97( 1), 85-100.
doi: 10.1901/jeab.2012.97-85URLpmid: 22287806
23 Marsh R., Zhu H., Schultz R. T., Quackenbush G., Royal J., Wang Z., Skudlarski P., & Peterson B. S . ( 2006). A developmental fMRI study of self-regulatory control in Tourette's syndrome. Human Brain Mapping, 27(11), 848-863.
doi: 10.1002/hbm.20225URLpmid: 2292452
24 Li M.H., & Bai X.J . ( 2005). The research progress of the development of cognitive flexibility in executive function. Psychological exploration, 25(2), 35-38.
25 [ 李美华, 白学军 . ( 2005). 执行功能中认知灵活性发展的研究进展. 心理学探新, 25( 2), 35-38.]
26 Li Y. H., Chen R., & He Q. H . ( 2018). The application of functional Near-Infrared Spectroscopy in understanding the brain mechanism of social interaction. Journal of Psychological Science, 41( 2), 305-311.
27 [ 李玉华, 陈睿, 何清华 . ( 2018). 功能性近红外光谱技术在社会互动脑机制研究中的应用. 心理科学, 41( 2), 305-311.]
28 Liu Z.N . ( 1999). Clinical application of the Wisconsin card classification test. Foreign Medical Sciences (Section of Psychiatry), 26( 1), 6-9.
29 [ 刘哲宁 . ( 1999). Wisconsin 卡片分类测验的临床运用. 国外医学: 精神病学分册, 26( 1), 6-9.]
30 Ogino Y., Nemoto H., Inui K., Saito S., Kakigi Ryusuke., & Goto Fumio . ( 2007). Inner experience of pain: Imagination of pain while viewing images showing painful events forms subjective pain representation in human brain. Cerebral Cortex, 17( 5), 1139-1146.
doi: 10.1093/cercor/bhl023URLpmid: 16855007
31 Pittenger D.J . ( 2002). The two paradigms of persistence. Genetic Social & General Psychology Monographs, 128( 3), 237.
doi: 10.1007/s00787-002-0272-4URLpmid: 12401034
32 Shu C., Wang G. H., Wang H. L., & Wang X. P . ( 2009). The role of anterior cingle in the Wisconsin card classification test. Chinese Journal of Behavioral Medicine and Brain Science, 18( 12), 1083-1084.
33 [ 舒畅, 王高华, 王惠玲, 王晓萍 . ( 2009). 前扣带回在威斯康星卡片分类测验操作中的作用. 中华行为医学与脑科学杂志, 18( 12), 1083-1084.]
doi: 10.3760/cma.j.issn.1674-6554.2009.12.010URL
34 Shu C., Wang G. H., Wang H. L., Wu G. Y.., Huang X., Sun J. M., & Li Q. Y . ( 2004). Preliminary study on brain activity patterns in WCST operation. Chinese Journal of Nervous and Mental Diseases, 30( 3), 223-225.
35 [ 舒畅, 王高华, 王惠玲, 吴光耀, 黄雄, 孙骏谟, 李秋英 . ( 2004). WCST 操作时脑活动模式的初步研究. 中国神经精神疾病杂志, 30( 3), 223-225.]
doi: 10.3969/j.issn.1002-0152.2004.03.022URL
36 Van Schuerbeek P., Baeken C., De Raedt R., De Mey J., & Luypaert R . ( 2011). Individual differences in local gray and white matter volumes reflect differences in temperament and character: A voxel-based morphometry study in healthy young females. Brain Research, 1371( 2), 32-42.
doi: 10.1016/j.brainres.2010.11.073URLpmid: 21126511
37 Wang Y., Ma N., He X. S., Li N., Wei Z. D., Yang L., … &. Zhang X.C . ( 2017). Neural substrates of updating the prediction through prediction error during decision making. Neuroimage, 157, 1-12.
doi: 10.1016/j.neuroimage.2017.05.041URLpmid: 28536046
38 Watanabe J., Sugiura M., Sato K., Sato Y., Maeda Y., Matsue Y., … Kawashima R . ( 2002). The human prefrontal and parietal association cortices are involved in NO-GO performances: An event-related fMRI study. Neuroimage, 17( 3), 1207-1216.
doi: 10.1006/nimg.2002.1198URLpmid: 12414261
39 Wicker B., Keysers C., Plailly J., Royet J-P., Gallese V., & Rizzolatti G . ( 2003). Both of us disgusted in my insula: The common neural basis of seeing and feeling disgust. Neuron, 40( 3), 655-664.
40 Xue G., He Q. H., Lei X. M., Chen C. H., Liu Y. Y., Chen C. S., … Bechara A . ( 2012). The gambler’s fallacy is associated with weak affective decision making but strong cognitive ability. Plos One, 7( 10), e47019.
doi: 10.1371/journal.pone.0047019URLpmid: 23071701
41 Xue G., Juan C-H., Chang C-F., Lu Z-L., & Dong Q . ( 2012). Lateral prefrontal cortex contributes to maladaptive decisions. Proceedings of the National Academy of Sciences of the United States of America, 109( 12), 4401-4406.
doi: 10.1073/pnas.1111927109URL
42 Xue G., Lu Z. L., Levin I. P., & Bechara A . ( 2010). The impact of prior risk experiences on subsequent risky decision-making: The role of the insula. Neurolmage, 50( 2), 709-716.
doi: 10.1016/j.neuroimage.2009.12.097URLpmid: 20045470
43 Xue G., Lu Z. L., Levin I. P., Weller J. A., Li X. R., & Bechara Antoine . ( 2009). Functional Dissociations of Risk and Reward Processing in the Medial Prefrontal Cortex. Cerebral Cortex, 19( 5), 1019-1027.
doi: 10.1093/cercor/bhn147URLpmid: 2665154
44 Zheng D., Oka T., Bokura H., & Yamaguchi S . ( 2008). The key locus of common response inhibition network for no-go and stop signals. Journal of Cognitive Neuroscience, 20( 8), 1434-1442.
doi: 10.1162/jocn.2008.20100URLpmid: 18303978




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