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Component Neural Systems for the Creation of Emotional Memories during Free Viewing of a Complex, Real-World Event

机译:在自由观看复杂的现实世界事件期间创建情感记忆的成分神经系统

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摘要

To investigate the neural systems that contribute to the formation of complex, self-relevant emotional memories, dedicated fans of rival college basketball teams watched a competitive game while undergoing functional magnetic resonance imaging (fMRI). During a subsequent recognition memory task, participants were shown video clips depicting plays of the game, stemming either from previously-viewed game segments (targets) or from non-viewed portions of the same game (foils). After an old–new judgment, participants provided emotional valence and intensity ratings of the clips. A data driven approach was first used to decompose the fMRI signal acquired during free viewing of the game into spatially independent components. Correlations were then calculated between the identified components and post-scanning emotion ratings for successfully encoded targets. Two components were correlated with intensity ratings, including temporal lobe regions implicated in memory and emotional functions, such as the hippocampus and amygdala, as well as a midline fronto-cingulo-parietal network implicated in social cognition and self-relevant processing. These data were supported by a general linear model analysis, which revealed additional valence effects in fronto-striatal-insular regions when plays were divided into positive and negative events according to the fan's perspective. Overall, these findings contribute to our understanding of how emotional factors impact distributed neural systems to successfully encode dynamic, personally-relevant event sequences.
机译:为了研究有助于形成复杂的,与自身相关的情感记忆的神经系统,竞争对手大学篮球队的热心球迷在进行功能磁共振成像(fMRI)的同时观看了一场比赛。在随后的识别记忆任务中,向参与者显示了描述游戏玩法的视频剪辑,这些视频剪辑来自先前查看的游戏片段(目标)或同一游戏中未查看的部分(影片)。根据新旧判断,参与者提供了片段的情感价和强度等级。首先使用数据驱动的方法将在免费观看游戏期间获得的功能磁共振成像信号分解为空间独立的组件。然后,针对已成功编码的目标,计算出识别出的成分与扫描后情绪评分之间的相关性。两个成分与强度等级相关,包括与记忆和情绪功能有关的颞叶区域,例如海马和杏仁核,以及与社交认知和自我相关处理有关的中线额叶-顶突-顶叶网络。这些数据得到了一般线性模型分析的支持,该分析揭示了在按照球迷的角度将游戏分为正面和负面事件时额额纹状体-岛状区域的附加价态效应。总体而言,这些发现有助于我们理解情绪因素如何影响分布式神经系统以成功编码动态的,与个人相关的事件序列。

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