Steady-state visual evoked potentials as a research tool in social affective neuroscience.
Steady-state visual evoked potentials as a research tool in social affective neuroscience.
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DOI：
10.1111/psyp.12768
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发表时间：
2016-12
期刊：
影响因子：
3.7
通讯作者：
Keil A
中科院分区：
文献类型：
--
作者：
Wieser MJ;Miskovic V;Keil A
像许多其他灵长类动物一样，人类高度重视社会信息的传递和处理。这些信息的一个重要方面涉及其他个体的情绪状态，这些情绪状态通过不同的视觉线索（如面部表情、明显的动作）或从情境中提取的线索来传达。大量的理论和实证研究表明，人类视觉系统以优先方式处理这些社会情感线索，以优化社会行为。此外，社会情绪感知高度依赖于情境背景和以前的经验。在这里，我们回顾当前的问题，在这一领域的研究和讨论的实用程序的稳态视觉诱发电位（ssVEP）技术解决关键的经验问题。方法上的优势和警告进行了讨论，特别是关于量化多个感知对象之间的时变竞争，逐试分析的视觉皮层激活，功能连接，和低级别的刺激功能的控制。综述了面部表情和情绪场景加工的研究，强调在情绪背景下或在相互竞争时观察面部和其他社会线索。此外，由于ssVEP技术可以很容易地适应于研究具有多个元素的复杂场景的观看，它使研究人员能够基于复杂的准自然主义观看情况来推进社会情感感知的理论模型。
Like many other primates, humans place a high premium on social information transmission and processing. One important aspect of this information concerns the emotional state of other individuals, conveyed by distinct visual cues such as facial expressions, overt actions, or by cues extracted from the situational context. A rich body of theoretical and empirical work has demonstrated that these socio-emotional cues are processed by the human visual system in a prioritized fashion, in the service of optimizing social behavior. Furthermore, socio-emotional perception is highly dependent on situational contexts and previous experience. Here, we review current issues in this area of research and discuss the utility of the steady-state visual evoked potential (ssVEP) technique for addressing key empirical questions. Methodological advantages and caveats are discussed with particular regard to quantifying time-varying competition among multiple perceptual objects, trial-by-trial analysis of visual cortical activation, functional connectivity, and the control of low-level stimulus features. Studies on facial expression and emotional scene processing are summarized, with an emphasis on viewing faces and other social cues in emotional contexts, or when competing with each other. Further, because the ssVEP technique can be readily accommodated to studying the viewing of complex scenes with multiple elements, it enables researchers to advance theoretical models of socio-emotional perception, based on complex, quasi-naturalistic viewing situations.
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