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简短计算机化训练改善前驱期和早期症状性亨廷顿舞蹈病患者情绪识别能力的可行性和有效性

Feasibility and Efficacy of Brief Computerized Training to Improve Emotion Recognition in Premanifest and Early-Symptomatic Huntington's Disease.

作者信息

Kempnich Clare L, Wong Dana, Georgiou-Karistianis Nellie, Stout Julie C

机构信息

Monash Institute of Cognitive and Clinical Neurosciences,School of Psychological Sciences, Faculty of Nursing, Medicine, and Health Sciences,Monash University,Clayton Campus,VIC,Australia.

出版信息

J Int Neuropsychol Soc. 2017 Apr;23(4):314-321. doi: 10.1017/S1355617717000145. Epub 2017 Mar 30.

DOI:10.1017/S1355617717000145
PMID:28357975
Abstract

OBJECTIVES

Deficits in the recognition of negative emotions emerge before clinical diagnosis in Huntington's disease (HD). To address emotion recognition deficits, which have been shown in schizophrenia to be improved by computerized training, we conducted a study of the feasibility and efficacy of computerized training of emotion recognition in HD.

METHODS

We randomly assigned 22 individuals with premanifest or early symptomatic HD to the training or control group. The training group used a self-guided online training program, MicroExpression Training Tool (METT), twice weekly for 4 weeks. All participants completed measures of emotion recognition at baseline and post-training time-points. Participants in the training group also completed training adherence measures.

RESULTS

Participants in the training group completed seven of the eight sessions on average. Results showed a significant group by time interaction, indicating that METT training was associated with improved accuracy in emotion recognition.

CONCLUSIONS

Although sample size was small, our study demonstrates that emotion recognition remediation using the METT is feasible in terms of training adherence. The evidence also suggests METT may be effective in premanifest or early-symptomatic HD, opening up a potential new avenue for intervention. Further study with a larger sample size is needed to replicate these findings, and to characterize the durability and generalizability of these improvements, and their impact on functional outcomes in HD. (JINS, 2017, 23, 314-321).

摘要

目的

在亨廷顿舞蹈症(HD)临床诊断之前,就已出现负面情绪识别缺陷。鉴于在精神分裂症中已表明计算机化训练可改善情绪识别缺陷,我们开展了一项关于HD情绪识别计算机化训练的可行性和有效性研究。

方法

我们将22名处于临床症状前期或早期症状的HD患者随机分为训练组或对照组。训练组使用一个自主在线训练程序——微表情训练工具(METT),每周两次,共进行4周。所有参与者在基线和训练后时间点完成情绪识别测量。训练组的参与者还完成了训练依从性测量。

结果

训练组参与者平均完成了八节课程中的七节。结果显示出显著的组间与时间交互作用,表明METT训练与情绪识别准确性的提高相关。

结论

尽管样本量较小,但我们的研究表明,使用METT进行情绪识别矫正在训练依从性方面是可行的。证据还表明,METT可能对临床症状前期或早期症状的HD有效,从而开辟了一条潜在的新干预途径。需要更大样本量的进一步研究来重复这些发现,并描述这些改善的持续性和普遍性,以及它们对HD功能结局的影响。(《神经心理疾病与治疗杂志》,2017年,第23卷,第314 - 321页)

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