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Getting the word out: neural correlates of enthusiastic message propagation

机译:言出必行:热情的信息传播与神经相关

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摘要

What happens in the mind of a person who first hears a potentially exciting idea?We examined the neural precursors of spreading ideas with enthusiasm, and dissected enthusiasm into component processes that can be identified through automated linguistic analysis, gestalt human ratings of combined linguistic and non-verbal cues, and points of convergence/divergence between the two. We combined tools from natural language processing (NLP) with data gathered using fMRI to link the neurocognitive mechanisms that are set in motion during initial exposure to ideas and subsequent behaviors of these message communicators outside of the scanner. Participants' neural activity was recorded as they reviewed ideas for potential television show pilots. Participants' language from video-taped interviews collected post-scan was transcribed and given to an automated linguistic sentiment analysis (SA) classifier, which returned ratings for evaluative language (evaluative vs. descriptive) and valence (positive vs. negative). Separately, human coders rated the enthusiasm with which participants transmitted each idea. More positive sentiment ratings by the automated classifier were associated with activation in neural regions including medial prefrontal cortex; MPFC, precuneus/posterior cingulate cortex; PC/PCC, and medial temporal lobe; MTL. More evaluative, positive, descriptions were associated exclusively with neural activity in temporal-parietal junction (TPJ). Finally, human ratings indicative of more enthusiastic sentiment were associated with activation across these regions (MPFC, PC/PCC, DMPFC, TPJ, and MTL) as well as in ventral striatum (VS), inferior parietal lobule and premotor cortex. Taken together, these data demonstrate novel links between neural activity during initial idea encoding and the enthusiasm with which the ideas are subsequently delivered. This research lays the groundwork to use machine learning and neuroimaging data to study word of mouth communication and the spread of ideas in both traditional and new media environments.
机译:首先听到一个潜在的令人兴奋的想法的人会发生什么?我们研究了热情传播想法的神经先兆,并将热情分解为组成过程,这些过程可以通过自动语言分析,组合语言和非语言的定型人类评级来确定-语言提示,以及两者之间的会合/分歧点。我们将自然语言处理(NLP)的工具与使用fMRI收集的数据相结合,以将在最初接触扫描仪之外的这些消息传播者的想法和随后行为期间启动的神经认知机制联系起来。参与者在回顾潜在电视节目播音员的想法时记录了他们的神经活动。扫描后收集的来自视频采访的参与者的语言被转录并交给自动语言情感分析(SA)分类器,该分类器返回评估语言(评估与描述)和效价(正与负)的等级。另外,人类程序员对参与者传达每个想法的热情进行了评估。自动分类器获得的更多积极情绪评价与包括内侧前额叶皮层在内的神经区域的激活有关; MPFC,前突/后扣带回皮层; PC / PCC和颞中叶; MTL。更具评价性,正面的描述仅与颞顶连接(TPJ)中的神经活动有关。最后,表明这些人群更加热情的人类评分与这些区域(MPFC,PC / PCC,DMPFC,TPJ和MTL)以及腹侧纹状体(VS),顶叶小叶和运动前皮质的激活有关。总而言之,这些数据证明了在最初的想法编码过程中神经活动与随后的想法表达的热情之间的新颖联系。这项研究为使用机器学习和神经影像数据研究口碑传播以及思想在传统和新媒体环境中的传播奠定了基础。

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