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Naturalistic fMRI Mapping Reveals Superior Temporal Sulcus as the Hub for the Distributed Brain Network for Social Perception

机译:自然主义的功能磁共振成像显示上颞沟为社交感知的分布式大脑网络的枢纽。

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摘要

Despite the abundant data on brain networks processing static social signals, such as pictures of faces, the neural systems supporting social perception in naturalistic conditions are still poorly understood. Here we delineated brain networks subserving social perception under naturalistic conditions in 19 healthy humans who watched, during 3-T functional magnetic resonance imaging (fMRI), a set of 137 short (approximately 16 s each, total 27 min) audiovisual movie clips depicting pre-selected social signals. Two independent raters estimated how well each clip represented eight social features (faces, human bodies, biological motion, goal-oriented actions, emotion, social interaction, pain, and speech) and six filler features (places, objects, rigid motion, people not in social interaction, non-goal-oriented action, and non-human sounds) lacking social content. These ratings were used as predictors in the fMRI analysis. The posterior superior temporal sulcus (STS) responded to all social features but not to any non-social features, and the anterior STS responded to all social features except bodies and biological motion. We also found four partially segregated, extended networks for processing of specific social signals: (1) a fronto-temporal network responding to multiple social categories, (2) a fronto-parietal network preferentially activated to bodies, motion, and pain, (3) a temporo-amygdalar network responding to faces, social interaction, and speech, and (4) a fronto-insular network responding to pain, emotions, social interactions, and speech. Our results highlight the role of the pSTS in processing multiple aspects of social information, as well as the feasibility and efficiency of fMRI mapping under conditions that resemble the complexity of real life.
机译:尽管关于大脑网络的大量数据处理诸如面孔图片之类的静态社会信号,但在自然主义条件下支持社会知觉的神经系统仍然知之甚少。在这里,我们描述了在19个健康的人类中,在自然主义条件下维护社会知觉的大脑网络,这些人类在3-T功能磁共振成像(fMRI)期间观看了一组137个短片(每个长约16 s,总计27分钟),这些短片描绘了选择的社交信号。两名独立的评估者估计每个片段代表八个社交特征(面部,人体,生物动作,目标动作,情感,社交互动,疼痛和言语)和六个填充特征(位置,物体,僵硬动作,不在社交互动中,缺乏目标的行动和非人类的声音)缺乏社交内容。这些评分在fMRI分析中用作预测指标。后颞上沟(STS)对所有社会特征反应,但对任何非社会特征均无反应,前STS对除身体和生物运动以外的所有社会特征反应。我们还发现了四个部分隔离的扩展网络,用于处理特定的社会信号:(1)响应多个社会类别的额颞网络;(2)优先激活身体,运动和疼痛的额顶网络,(3 )响应脸部,社交互动和言语的颞杏仁体网络,以及(4)响应疼痛,情绪,社交互动和言语的额背孤立网络。我们的研究结果突出了pSTS在处理社会信息的多个方面的作用,以及在类似于现实生活复杂性的条件下进行fMRI绘图的可行性和效率。

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