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首页> 外文期刊>Journal of stroke and cerebrovascular diseases: The official journal of National Stroke Association >Assessing Self-Reported Mood in Aphasia Following Stroke: Challenges, Innovations and Future Directions
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Assessing Self-Reported Mood in Aphasia Following Stroke: Challenges, Innovations and Future Directions

机译：评估中风后性腺的自我报告情绪：挑战，创新和未来方向

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摘要

Assessment of mood is critical in determining rehabilitation outcomes for stroke and other acquired brain injury, yet a common consequence of such injuries is aphasia, where language is impaired. Consequently, the use of language-based measures in this population is often not possible. Following a critical review of the neuropsychological aspects of self-reported mood, this paper evaluates the problems in reporting mood after stroke due to aphasia, and discusses implications for the design of adapted instruments. The paper then appraises the construction and psychometric properties of existing, adapted self-report measures developed to try and address these problems, and evaluates their utility and limitations. This includes a focus on the recently validated tablet-based Dynamic Visual Analog Mood Scales (D-VAMS), which uses innovative non-verbal assessment methods based on facial expression modulated via a slider control on a touchscreen interface. Currently, most studies evaluating recovery interventions simply omit individuals with aphasia because of the difficulty of assessing mood and quality of life in this population. However, adapted scales such as the D-VAMS appear to represent an important step forward in assessing mood in people with language impairments, with the use of interactive modulated imagery having wider applications for nonverbal communication as well as the quantification of subjective phenomena.
机译：情绪评估对于确定中风和其他后天性脑损伤的康复结果至关重要，但此类损伤的常见后果是失语症，即语言受损。因此，在这一人群中使用基于语言的衡量标准通常是不可能的。在对自我报告情绪的神经心理学方面进行批判性回顾后，本文评估了失语症中风后报告情绪的问题，并讨论了对适应工具设计的影响。然后，本文评估了现有的、经过调整的自我报告措施的结构和心理测量学特性，这些措施是为了尝试解决这些问题而开发的，并评估了它们的效用和局限性。这包括关注最近验证的基于平板电脑的动态视觉模拟情绪量表（D-VAMS），该量表使用创新的非语言评估方法，基于通过触摸屏界面上的滑块控制调节的面部表情。目前，大多数评估康复干预措施的研究只是忽略失语症患者，因为难以评估该人群的情绪和生活质量。然而，D-VAMS等适应量表似乎代表了评估语言障碍患者情绪的重要一步，互动调制图像的使用在非语言交流以及主观现象的量化方面有着更广泛的应用。

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