Suppr超能文献

受试者姓氏对精神分裂症视觉事件相关电位的影响。

Effect of subject's family name on visual event-related potential in schizophrenia.

作者信息

Minami E, Tsuru N, Okita T

机构信息

Department of Psychiatry, Miyazaki Medical College, Japan.

出版信息

Biol Psychiatry. 1992 Apr 1;31(7):681-9. doi: 10.1016/0006-3223(92)90277-7.

Abstract

Visual event-related potentials (ERPs) were recorded from 15 schizophrenics and 15 age-matched and gender-matched controls, while they performed a modified version of the oddball paradigm. Each subject was required to detect target stimuli among a random sequence of stimuli under two conditions, name and color. In the name condition the stimulus sequence consisted of the subject's family name (deviant 18%), four other family names (standard 73%), and a city name (target 9%). In the color condition the respective stimuli were a pair of solid red circles, four white paired-arrows, and a pair of white plus and minus signs. ERPs elicited by stimuli contained triphasic potentials of P2, N2, and P3. In controls these waves were selectively enhanced for the subject's family name as compared with standards, whereas in schizophrenics no significant difference between the subject's family name and other names was observed. In contrast, selective enhancement for color deviants was observed in both subject groups. These results suggest that impairment of involuntary attention, especially for familiar and significant stimuli such as names in daily life, may underlie disturbances of attentionally controlled central processing in schizophrenia.

摘要

对15名精神分裂症患者以及15名年龄和性别匹配的对照组人员进行视觉事件相关电位(ERP)记录,同时他们执行一种改良版的oddball范式。要求每个受试者在两种条件下,即名称和颜色条件下,从随机刺激序列中检测目标刺激。在名称条件下,刺激序列由受试者的姓氏(偏差18%)、其他四个姓氏(标准73%)和一个城市名称(目标9%)组成。在颜色条件下,相应的刺激是一对实心红色圆圈、四个白色双箭头以及一对白色加减号。刺激引发的ERP包含P2、N2和P3的三相电位。在对照组中,与标准刺激相比,受试者的姓氏刺激引发的这些波有选择性增强,而在精神分裂症患者中,未观察到受试者的姓氏与其他名称之间存在显著差异。相反,在两个受试组中均观察到颜色偏差刺激有选择性增强。这些结果表明,非自愿注意受损,尤其是对日常生活中诸如名称等熟悉且重要的刺激的非自愿注意受损,可能是精神分裂症中注意力控制的中枢加工障碍的基础。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验