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Hemodynamic and electrocortical reactivity to specific scene contents in emotional perception

机译：血流动力学与情感感知特定场景内容的电象反应性

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Abstract >Emotional scene perception is characterized by enhanced neural activity across broad regions of visual cortex, the frontoparietal network, and anterior corticolimbic structures. In human fMRI and electrocortical experiments, activation enhancement is strongly related to self‐reported emotional arousal evoked by scene stimuli. However, an additional bias in reaction to pleasant scenes has been reported in a subset of emotion‐enhanced brain regions. Human fMRI and primate electrophysiological studies show biased frontoparietal network activity in response to rewarding cues. In addition, activation in lateral occipital regions may show a bias in pleasant scene perception, as shown in fMRI and in the early posterior negativity (EPN) ERP component. To define this potential pleasure bias, we presented a balanced set of naturalistic scenes to participants during separate fMRI and ERP recording sessions. Consistent with past work, the amplitude of the slow‐wave late positive potential (LPP), as well as hemodynamic activity in fusiform gyrus and amygdala, showed equivalent enhancement across highly arousing pleasant and unpleasant, relative to neutral scenes. In addition to this emotional enhancement, the EPN component, as well as hemodynamic activity in lateral occipital cortex and frontoparietal network, showed greater reactivity during highly arousing pleasant relative to unpleasant scenes, consistent with a pleasure bias. The interpretation of this pattern of reactivity is discussed with respect to selective and evolved attention mechanisms. </abstract> </span> <span class="z_kbtn z_kbtnclass hoverxs" style="display: none;">展开▼</span> </div> <div class="translation abstracttxt"> <span class="zhankaihshouqi fivelineshidden" id="abstract"> <span>机译：</span><Abstract Type =“Main”XML：ID =“PSYP13340-ABS-ABS-0001”XML：LANG =“EN”> <标题类型=“main”>抽象</标题> >情绪现场感知的特点是增强神经视觉皮质宽阔地区的活动，前迁移网和前皮甲胶质结构。在人体FMRI和电蚀刻实验中，激活增强与现场刺激引起的自我报告的情绪唤醒强烈相关。然而，在情绪增强的脑区的子集中报道了对令人愉快的场景反应的额外偏差。人类FMRI和灵长类动物电生理学研究表明，偏见的前迁网络活动是响应奖励线索。此外，横向枕骨区域的激活可以显示出令人愉快的场景感知的偏差，如FMRI和早期后消极（EPN）ERP组件所示。为了定义这种潜在的乐趣偏见，我们在单独的FMRI和ERP录制会话期间向参与者展示了一系列平衡的自然主义场景。与过去的工作一致，慢波晚期正电位（LPP）的幅度以及梭形转血和杏仁菌的血流动力学活性，表现出相对于中性场景的高度激烈令人愉悦和令人难以令人难以愉快的增强。除了这种情绪增强之外，环球组分以及侧枕骨皮层和前期网络中的血流动力学活动，在高度激烈地相对于令人难以愉快的场景，呈现更大的反应性，与令人愉快的偏见一致。关于选择性和演化的注意力机制讨论了对这种反应性模式的解释。</ p> </摘要> </span> <span class="z_kbtn z_kbtnclass hoverxs" style="display: none;">展开▼</span> </div> </div> <div class="record"> <h2 class="all_title" id="enpatent33" >著录项</h2> <ul> <li> <span class="lefttit">来源</span> <div style="width: 86%;vertical-align: text-top;display: inline-block;"> <a href='/journal-foreign-30019/'>《Psychophysiology》</a> <b style="margin: 0 2px;">|</b><span>2019年第6期</span><b style="margin: 0 2px;">|</b><span>共14页</span> </div> </li> <li> <div class="author"> <span class="lefttit">作者</span> <p id="fAuthorthree" class="threelineshidden zhankaihshouqi"> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Frank David W.&option=202" target="_blank" rel="nofollow">Frank David W.;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Sabatinelli Dean&option=202" target="_blank" rel="nofollow">Sabatinelli Dean;</a> </p> <span class="z_kbtnclass z_kbtnclassall hoverxs" id="zkzz" style="display: none;">展开▼</span> </div> </li> <li> <div style="display: flex;"> <span class="lefttit">作者单位</span> <div style="position: relative;margin-left: 3px;max-width: 639px;"> <div class="threelineshidden zhankaihshouqi" id="fOrgthree"> <p>Department of Neuroscience BioImaging Research CenterUniversity of GeorgiaAthens Georgia;</p> <p>Department of Neuroscience BioImaging Research CenterUniversity of GeorgiaAthens Georgia;</p> </div> <span class="z_kbtnclass z_kbtnclassall hoverxs" id="zhdw" style="display: none;">展开▼</span> </div> </div> </li> <li > <span class="lefttit">收录信息</span> <span style="width: 86%;vertical-align: text-top;display: inline-block;"></span> </li> <li> <span class="lefttit">原文格式</span> <span>PDF</span> </li> <li> <span class="lefttit">正文语种</span> <span>eng</span> </li> <li> <span class="lefttit">中图分类</span> <span><a href="https://www.zhangqiaokeyan.com/clc/1466.html" title="人体生理学">人体生理学;</a><a href="https://www.zhangqiaokeyan.com/clc/44.html" title="心理学">心理学;</a></span> </li> <li class="antistop"> <span class="lefttit">关键词</span> <p style="width: 86%;vertical-align: text-top;"> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=emotion&option=203" rel="nofollow">emotion;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=ERP&option=203" rel="nofollow">ERP;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=fMRI&option=203" rel="nofollow">fMRI;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=frontoparietal&option=203" rel="nofollow">frontoparietal;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=reward&option=203" rel="nofollow">reward;</a> </p> <div class="translation"> 机译：情绪;ERP;FMRI;前迁徙;奖励; </div> </li> <li> <span class="lefttit">入库时间</span> <span>2022-08-20 06:44:08</span> </li> </ul> </div> </div> <div class="literature cardcommon"> <div class="similarity "> <h3 class="all_title" id="enpatent66">相似文献</h3> <div class="similaritytab clearfix"> <ul> <li class="active" >外文文献</li> <li 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<b>3. </b><a class="enjiyixqcontent" href="/patent-detail/06130405248385.html">METHOD OF CLASSIFYING OBJECTS FOR A PERCEPTION SCENE GRAPH AND SYSTEM FOR USING A SCENE DETECTION SCHEMA FOR CLASSIFYING OBJECTS IN A PERCEPTION SCENE GRAPH (PSG) IN A MOTOR VEHICLE</a> <b>[P]</b> . <span> 外国专利：  EP3407251A1 </span> <span> . 2018-11-28</span> </div> <p class="zwjiyix translation" style="max-width: initial;height: auto;word-break: break-all;white-space: initial;text-overflow: initial;overflow: initial;"> <span>机译：感知场景图的对象分类方法和用于在车辆中感知场景图（PSG）中对象分类的场景检测模式的系统 </span> </p> </li> <li> <div> <b>4. </b><a class="enjiyixqcontent" href="/patent-detail/06130501322637.html">METHOD OF TRAINING A NEURAL NETWORK TO REFLECT EMOTIONAL PERCEPTION, RELATED SYSTEM AND METHOD FOR CATEGORIZING AND FINDING ASSOCIATED CONTENT AND RELATED DIGITAL MEDIA FILE EMBEDDED WITH A MULTI-DIMENSIONAL PROPERTY VECTOR</a> <b>[P]</b> . <span> 外国专利：  EP3931721A1 </span> <span> . 2022-01-05</span> </div> <p class="zwjiyix translation" style="max-width: initial;height: auto;word-break: break-all;white-space: initial;text-overflow: initial;overflow: initial;"> <span>机译：培训神经网络以反映用于分类和查找与多维属性向量的相关内容和相关数字媒体文件的情绪感知，相关系统和方法的方法 </span> </p> </li> <li> <div> <b>5. </b><a class="enjiyixqcontent" href="/patent-detail/06130501390941.html">Methods for training neural networks to reflect emotional perception, related systems and methods for classifying and discovering related content, and related digital media files with embedded multidimensional feature vectors</a> <b>[P]</b> . <span> 外国专利：  KR20220002939A </span> <span> . 2022-01-07</span> </div> <p class="zwjiyix translation" style="max-width: initial;height: auto;word-break: break-all;white-space: initial;text-overflow: initial;overflow: initial;"> <span>机译：培训神经网络以反映与嵌入式多维特征向量进行相关内容的情绪感知，相关系统和方法，以及相关数字媒体文件 </span> </p> </li> </ul> </div> </div> </div> <div class="theme cardcommon" style="overflow: auto;display:none"> <h3 class="all_title" 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