Suppr超能文献

双相情感障碍缓解期患者的情绪加工受损。

Impaired emotion processing in remitted patients with bipolar disorder.

作者信息

Bozikas Vasils P, Tonia Thomy, Fokas Kostas, Karavatos Athanasios, Kosmidis Mary H

机构信息

2nd Department of Psychiatry, Aristotle University of Thessaloniki, Greece.

出版信息

J Affect Disord. 2006 Mar;91(1):53-6. doi: 10.1016/j.jad.2005.11.013. Epub 2006 Jan 18.

Abstract

In the present study, we examined whether there is an impairment in affect matching abilities in remitted patients with bipolar disorder and if this could be attributed to problems with facial perception per se and/or the ability to perceive the relative valence of facial expressions indicating emotions. We examined 19 patients with bipolar disorder I, currently remitted, and 30 healthy controls (15 men), matched on age, education, and gender, using two computerized tests: matching facial identity [Kinney's Identity Matching Test (KIMT)] and matching facial emotional expressions [Kinney's Affect Matching Test (KAMT)]. Patients with bipolar disorder performed significantly worse than the healthy group on the KAMT, but not on the KIMT. Performance on the KAMT and KIMT did not correlate with age of onset and duration of illness, or with manic or depressive residual symptoms. The present findings support the differential deficit hypothesis regarding impaired affect perception in bipolar disorder during remission. Patients' deficits were restricted to the matching of facial emotional expressions despite their intact perception of facial identity.

摘要

在本研究中,我们考察了双相情感障碍缓解期患者的情感匹配能力是否受损,以及这是否可归因于面部感知本身的问题和/或感知表达情感的面部表情相对效价的能力。我们使用两项计算机化测试,对19例目前处于缓解期的I型双相情感障碍患者和30名健康对照者(15名男性)进行了研究,这些对照者在年龄、教育程度和性别上相匹配。这两项测试分别是:面部身份匹配[金尼身份匹配测试(KIMT)]和面部情感表情匹配[金尼情感匹配测试(KAMT)]。双相情感障碍患者在KAMT上的表现显著差于健康组,但在KIMT上并非如此。KAMT和KIMT的表现与发病年龄、病程,或躁狂或抑郁残留症状均无相关性。目前的研究结果支持了关于双相情感障碍缓解期情感感知受损的差异缺陷假说。尽管患者对面部身份的感知完好,但他们的缺陷仅限于面部情感表情的匹配。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验