批判性思维倾向的基于体素的形态学研究
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- 英文论文题名：A voxel-based morphometry study of gray matter correlates of The D isposition of Critical Thinking
- 论文作者：姚小喃 ; 刘晓敏 ; 邱江 ; 杨东
- 英文论文作者：Xiaonan Yao ; Xiaomin Liu ; Jiang Qiu ; Dong Yang ; Faculty of Psychology ; Southwest University
- 年：2015
- 作者机构：西南大学心理学部;
- 论文关键词：批判性思维 ; 开放思想 ; 基于体素的形态学分析(VBM) ; 灰质体积
- 英文论文关键词：Critical Thinking ; Open-mindedness ; Voxel-based Morphometry(VBM) ; Grey Matter Volume
- 会议召开时间：2015-10-16
- 会议录名称：第十八届全国心理学学术会议摘要集——心理学与社会发展
- 英文会议录名称：Proceedings of the 18th National Academic Congress of Psychology
- 语种：中文
- 分类号：B842.5
- 学会代码：ZGXG
- 会议名称：第十八届全国心理学学术会议
- 会议地点：中国天津
- 主办单位：中国心理学会
- 学会名称：中国心理学会
- 页数：2
- 文件大小：772k
- 原文格式：D
- 会议级别：全国
摘要
批判性思维是创新人才必备的技能和态度。当今社会是一个信息化的大数据时代,如何在大量的信息中快速选择有效的适合自己的信息,就必须具备批判、选择和处理信息的能力,而是否能够有效地使用这些数据和信息,则取决于使用者对信息的认知能力、敏感度和开发利用的能力以及自身具备的批判性素质。国内的批判性思维研究处于探索和发展阶段,多集中在不同批判性思维现状的研究、相关研究,以及批判性思维的培养和策略的研究,还没有对批判性思维的脑结构的研究。本研究采用基于体素的形态学研究方法(VBM)对批判性思维倾向进行脑结构的探索。批判性思维倾向总分以及七个维度的得分(寻找真理,开放思想,分析能力,系统化能力,批判性思维的自信心、求知欲和认知成熟度七个维度)是通过加利福尼亚批判性思维倾向量表(CCTDI)对313名个体测得。研究发现批判性思维总分和左侧颞上回、左侧颞中回颞极、左侧颞上回颞极、边缘叶、左侧梭状回、左侧海马旁回显著负相关,即批判性思维倾向越高,这些脑区的灰质体积越小。寻找真相分维度和右侧颞上回、右侧颞上回颞极、边缘叶、右侧颞中回颞极、右侧梭状回、右侧海马旁回、右侧颞下回、杏仁核显著负相关。量表的其他维度没有发现显著的结果。本研究得到了关于批判性思维倾向的脑结构基础,为以后进一步的挖掘分析提供了前提,除寻找真相维度之外其他分维度没有发现显著的结果可能与批判性思维倾向问卷本身的维度划分有关系,可以进行深入的因子分析,也可能跟VBM数据分析方法的局限性有关,这些都值得进一步的挖掘和探究,而且此结果也一定程度上表明寻找真相分维度和批判性思维倾向之间有更微妙的关系。
Critical thinking is both a skill and an essential attitude for innovative talents. Faced wit h the big data society which is full of information, the individual must own the ability and the disp osition to criticize, choose and deal with these information if you want to use them effectively. Th e domestic critical thinking researches mostly focus on the situation of some groups, critical thinki ng and correlation researches. There is little exploration the brain structure of critical thinking yet. In this study, we use the voxel-based morphometry and The California Critical Thinking Dispositi on Inventory to explore it in 313 participants. The scale has seven sub-scales: truth-seeking, openmindedness, analyticity, systematicity, the CT self-confidence, inquisitiveness and maturity. The r esults shows that critical thinking disposition is negative correlated with larger grey matter volume of cluster that includes areas in left Superior Temporal Gyrus,Temporal_Pole_Mid_L,Temporal_Pole_Sup_L,Limbic Lobe,Fusiform_L, Para Hippocampal_L..Meanwhile, the truth-seeking is also negative correlated with those regions above 。The distinction is these regions are in the right cerebrum. The finding above give some advice for future study. However, there is no significant correlation with gray matter of the cluster for the oth er six factors in this study. Maybe this result is due to the dimension of the scale which could be m odified by factor analysis. The analysis of VBM possibly can't explain the distinction among the s even sub-scales. It is deserved to explore in future.
Critical thinking is both a skill and an essential attitude for innovative talents. Faced wit h the big data society which is full of information, the individual must own the ability and the disp osition to criticize, choose and deal with these information if you want to use them effectively. Th e domestic critical thinking researches mostly focus on the situation of some groups, critical thinki ng and correlation researches. There is little exploration the brain structure of critical thinking yet. In this study, we use the voxel-based morphometry and The California Critical Thinking Dispositi on Inventory to explore it in 313 participants. The scale has seven sub-scales: truth-seeking, openmindedness, analyticity, systematicity, the CT self-confidence, inquisitiveness and maturity. The r esults shows that critical thinking disposition is negative correlated with larger grey matter volume of cluster that includes areas in left Superior Temporal Gyrus,Temporal_Pole_Mid_L,Temporal_Pole_Sup_L,Limbic Lobe,Fusiform_L, Para Hippocampal_L..Meanwhile, the truth-seeking is also negative correlated with those regions above 。The distinction is these regions are in the right cerebrum. The finding above give some advice for future study. However, there is no significant correlation with gray matter of the cluster for the oth er six factors in this study. Maybe this result is due to the dimension of the scale which could be m odified by factor analysis. The analysis of VBM possibly can't explain the distinction among the s even sub-scales. It is deserved to explore in future.
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