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Brain Structure and Individual Differences in Social Behaviors

机译:大脑结构和社会行为中的个体差异

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Brain structure exhibits systematic relationships with a variety of an individual's cognitive abilities and such relationships can be captured by voxel-based morphometry (VBM) that computes regional gray matter volume based on anatomical MRIs. This method has been successfully used to reveal brain regions that are associated with individual differences in a broad range of contexts such as perceptual performance, attention control, face recognition, introspection and personality traits (Kanai & Rees 2011). Here, we show that such relationships with brain structure extend to complex social behaviors by presenting our recent VBM studies that examined the relationships between brain structure and diverse aspects of sociocognitive behavioral traits. Specifically, we identified brain regions in which individual differences in gray matter volumes were associated with political orientation, moral sentiment, empathy and loneliness. These findings suggest that information derived from standard MRI scans could be used to extract information about an individual's real-world and online social behavior. Unlike conventional functional neuroimaging research, our structural neuroimaging approach does not require a virtual environment that emulates social interactions and thus can directly link brain structure to real-world human behavior. As such, our approach based on individual differences in brain structure and behavior provides an important anchor point that integrates genetic and environmental factors determining diversity of human cognition and behavior.
机译:脑结构表现出与各种个人认知能力的系统关系,并且这种关系可以通过基于体素的形态学(VBM)来捕获,该关系基于解剖学MRIS计算区域灰质体积。该方法已成功地展示与各种背景下的个体差异相关的大脑区域,例如感知性能,注意力控制,面部识别,内省和人格特征(Kanai&Rees 2011)。在这里,我们表明,这种与大脑结构的关系通过呈现我们最近的VBM研究来展示了脑结构结构与社会认知行为特征的多样化方面之间的关系来延伸到复杂的社会行为。具体而言,我们确定了脑区,其中灰质体积的个体差异与政治定位,道德情绪,同理化和孤独相关。这些调查结果表明,来自标准MRI扫描的信息可用于提取有关个人现实世界和在线社会行为的信息。与传统的功能性神经影像学研究不同,我们的结构神经影像学方法不需要模拟社交互动的虚拟环境,从而可以直接将脑结构链接到现实世界的人类行为。因此,我们基于脑结构和行为的个体差异的方法提供了一个重要的锚点,其整合了确定人类认知和行为的多样性的遗传和环境因素。

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  • 来源
    《AAAI Symposium》|2012年||共2页
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  • 作者

    Ryota Kanai;

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  • 中图分类 TP18-53;
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