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首页> 外文期刊>Neuropsychology >Visual Scanning of the Eye Region of Human Faces Predicts Emotion Recognition Performance in Huntington's Disease
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Visual Scanning of the Eye Region of Human Faces Predicts Emotion Recognition Performance in Huntington's Disease

机译：人类面部眼部区域的视觉扫描预测亨廷顿疾病中的情感识别性能

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Objective: Previous research has consistently shown that the ability to recognize emotions from facial expressions is impaired in Huntington's disease (HD). The aim of this study was to examine whether people with the gene expansion for HD visually scan the most emotionally informative features of human faces less than unaffected individuals, and whether altered visual scanning predicts emotion recognition in HD beyond general disease-related decline. Method: We recorded eye movements of 25 participants either in the late premanifest or early stage of HD and 25 age-matched healthy control participants during a face-viewing task. The task involved the viewing of pictures depicting human faces with angry, disgusted, fearful, happy, and neutral expressions, and evaluating each face on a valence rating scale. For data analysis, we defined 2 regions of interest (ROIs) on each picture, including an eye-ROI and a nose/mouth-ROI. Emotion recognition abilities were measured using an established emotion-recognition task and general disease-related decline was measured using the UHDRS motor score. Results: Compared to the control participants, the HD participants spent less time looking at the ROIs relative to the total time spent looking at the pictures (partial eta(2) = 0.10), and made fewer fixations on the ROIs (partial eta(2) = 0.16). Furthermore, visual scanning of the eye-ROI, but not the nose/mouth-ROI, predicted emotion recognition performance in the HD group, over and beyond general disease-related decline. Conclusion: The emotion recognition deficit in HD may partly be explained by general disease-related decline in cognition and motor functioning and partly by a social-emotional deficit, which is reflected in reduced eye-viewing.
机译：目的：以前的研究一直表明，在亨廷顿的疾病（HD）中冒着面部表情的情绪的能力受到损害。本研究的目的是审查人们对高清基因扩张的人类视觉扫描人类面孔的最具情感信息性，以及改变的视觉扫描是否预测HD的情绪识别，超出了与普遍疾病相关的下降。方法：在脸部观看任务期间，我们在高清和25次匹配的健康控制参与者的晚期寄生或早期阶段记录了25名参与者的眼球运动。该任务涉及描绘描绘人类面孔的图片，愤怒，恶心，恐惧，快乐和中立的表达，并在价值评级规模上评估每张面部。对于数据分析，我们在每张照片中定义了2个兴趣区域（ROI），包括眼睛ROI和鼻子/嘴圈ROI。使用UHDR电机得分测量了既定的情感识别任务，使用UHDRS电机评分测量了情感识别能力。结果：与控制参与者相比，HD参与者相对于看图片的总时间少花费时间看着ROIS（部分ETA（2）= 0.10），并在ROI（部分ETA（2 ）= 0.16）。此外，眼睛ROI的视觉扫描，但不是鼻子/口回报率，在HD组中预测的情感识别性能，超出了一般疾病相关的下降。结论：HD中的情感识别赤字可以部分地通过认知和运动的一般疾病相关的下降，部分地通过社会情感赤字解释，这在减少视力下反映。

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