Social gating of sensory information during ongoing communication

Social gating of sensory information during ongoing communication
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持续交流期间感官信息的社交门控

DOI:
10.1016/j.neuroimage.2014.10.007
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发表时间:
2015
期刊:
影响因子:
5.7
通讯作者:
Ethofer T
Ethofer T
中科院分区:
医学1区
文献类型:
--
作者:
Anders S;Heussen Y;Sprenger A;Haynes J-D;Ethofer T

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社会语境在人类交际中起着重要的作用。根据源的性质,相同的通信信号可能会以根本不同的方式进行处理。然而,在通信过程中神经信息流的选择性调制(或“门控”)尚未完全理解。在这里,我们使用多体素模式分析(MVPA)和多体素连接分析(MVCA),一种新的技术,允许分析上下文相关的变化的强度区域间耦合的体素集合之间,研究人类大脑如何差异门内容特定的感官信息在持续感知通信信号。在一个模拟的电子通信实验中,参与者在功能性磁共振成像过程中收到两条不同的短信(“快乐”或“悲伤”),他们认为这是他们现实生活中的朋友在扫描仪外或通过计算机发送的。当参与者的朋友发送短信时,背内侧前额叶皮层(dmPFC)中的一个区域选择性地增加了与视觉皮层中感觉内容编码区域的功能耦合,而当参与者的朋友发送短信时,则减少了与这些区域的功能耦合。此外,在dmPFC的文本信息的内容特定的信息的神经编码的强度调制的参与者和她的朋友之间的社会关系:她的业余时间参与者报告说,花在她的朋友更强的是神经编码。这表明,人类大脑根据通信信号的来源,有选择地将感官信息输入相关网络,以处理他人的精神状态。
Social context plays an important role in human communication. Depending on the nature of the source, the same communication signal might be processed in fundamentally different ways. However, the selective modulation (or “gating”) of the flow of neural information during communication is not fully understood. Here, we use multivoxel pattern analysis (MVPA) and multivoxel connectivity analysis (MVCA), a novel technique that allows to analyse context-dependent changes of the strength interregional coupling between ensembles of voxels, to examine how the human brain differentially gates content-specific sensory information during ongoing perception of communication signals. In a simulated electronic communication experiment, participants received two alternative text messages during fMRI (“happy” or “sad”) which they believed had been sent either by their real-life friend outside the scanner or by a computer. A region in the dorsal medial prefrontal cortex (dmPFC) selectively increased its functional coupling with sensory-content encoding regions in the visual cortex when a text message was perceived as being sent by the participant's friend, and decreased its functional coupling with these regions when a text message was perceived as being sent by the computer. Furthermore, the strength of neural encoding of content-specific information of text messages in the dmPFC was modulated by the social tie between the participant and her friend: the more of her spare time a participant reported to spend with her friend the stronger was the neural encoding. This suggests that the human brain selectively gates sensory information into the relevant network for processing the mental states of others, depending on the source of the communication signal.
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DOI: --
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