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[帕金森病中面部表情减少的严重程度与基本情绪识别之间的关系]

[Relationship between severity of hypomimia and basic emotion recognition in Parkinson's disease].

作者信息

Cossini F, Cuesta C, Román K, Zambrano S, Rubinstein W, Politis D

机构信息

Universidad de Buenos Aires, Buenos Aires, Argentina.

Hospital Interzonal de Agudos Eva Perón, San Martín, Argentina.

出版信息

Rev Neurol. 2024 Aug 1;79(3):71-76. doi: 10.33588/rn.7903.2024169.

Abstract

INTRODUCTION

Parkinson's disease is characterised by the presence of motor symptoms including hypomimia, and by non-motor symptoms including alterations in facial recognition of basic emotions. Few studies have investigated this alteration and its relationship to the severity of hypomimia.

OBJECTIVE

The objective is to study the relationship between hypomimia and the facial recognition of basic emotions in subjects with Parkinson's disease.

SUBJECTS AND METHODS

Twenty-three patients and 29 controls were evaluated with the test battery for basic emotion facial recognition. The patients were divided into two subgroups according to the intensity of their hypomimia.

RESULTS

The comparison in battery test performance between the minimal/mild hypomimia and moderate/severe hypomimia groups was statistically significant in favour of the former group.

CONCLUSIONS

This finding shows a close relationship between expression and facial recognition of emotions, which could be explained through the mechanism of motor simulation.

摘要

引言

帕金森病的特征是存在包括表情减少在内的运动症状,以及包括基本情绪面部识别改变在内的非运动症状。很少有研究调查这种改变及其与表情减少严重程度的关系。

目的

研究帕金森病患者表情减少与基本情绪面部识别之间的关系。

对象与方法

对23例患者和29名对照者进行基本情绪面部识别测试组评估。根据表情减少的程度将患者分为两个亚组。

结果

最小/轻度表情减少组与中度/重度表情减少组在测试组表现上的比较具有统计学意义,前者更具优势。

结论

这一发现表明情绪表达与面部识别之间存在密切关系,这可以通过运动模拟机制来解释。

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Moving beyond basic emotions in Parkinson's disease.超越帕金森病中的基本情绪。
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Facial emotion decoding in patients with Parkinson's disease.帕金森病患者的面部情绪解码
Int J Neurosci. 2018 Jan;128(1):71-78. doi: 10.1080/00207454.2017.1366475. Epub 2017 Aug 28.

本文引用的文献

3
Social Symptoms of Parkinson's Disease.帕金森病的社会症状
Parkinsons Dis. 2020 Dec 31;2020:8846544. doi: 10.1155/2020/8846544. eCollection 2020.

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