Naturalistic FMRI mapping reveals superior temporal sulcus as the hub for the distributed brain network for social perception.

Naturalistic FMRI mapping reveals superior temporal sulcus as the hub for the distributed brain network for social perception.
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DOI:
10.3389/fnhum.2012.00233
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发表时间:
2012
影响因子:
2.9
通讯作者:
Nummenmaa L
Nummenmaa L
中科院分区:
医学3区
文献类型:
--
作者:
Lahnakoski JM;Glerean E;Salmi J;Jääskeläinen IP;Sams M;Hari R;Nummenmaa L

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尽管有大量关于大脑网络处理静态社会信号的数据,如面部图片,但在自然条件下支持社会感知的神经系统仍然知之甚少。在这里,我们描绘了大脑网络subserving社会知觉自然条件下,在19个健康的人观看,在3-T功能磁共振成像(fMRI),一组137短(约16秒,共27分钟)的视听电影剪辑描绘预先选定的社会信号。两名独立的评分员评估了每个片段对8个社会特征(面部、人体、生物运动、目标导向的行动、情感、社会互动、疼痛和言语)和6个缺乏社会内容的填充特征(地点、物体、刚性运动、不参与社会互动的人、非目标导向的行动和非人类声音)的表现。这些评级被用作fMRI分析中的预测因子。后上级颞沟(STS)的所有社会功能,但没有任何非社会功能,和前STS的所有社会功能,除了身体和生物运动。我们还发现了四个部分隔离的扩展网络,用于处理特定的社交信号:(1)额颞网络响应于多个社会类别,(2)额顶叶网络优先激活身体,运动和疼痛,(3)颞杏仁核网络响应于面部,社会互动和语音,以及(4)额岛网络响应于疼痛,情绪,社交和演讲我们的研究结果突出了pSTS在处理社会信息的多个方面中的作用,以及在类似于真实的生活复杂性的条件下fMRI映射的可行性和效率。
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.
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