Investigation of attentional bias to emotional-related words in first-episode depressive patients

注意偏差 斯特罗普效应 心理学 方差分析 听力学 抑郁症状 认知偏差 显著性差异 认知 临床心理学 内科学 精神科 医学
作者
Cheng Li
出处
期刊:Chinese Journal of Behavioral Medicine and Brain Science [Chinese Medical Association]
卷期号:23 (1): 40-42
标识
DOI:10.3760/cma.j.issn.1674-6554.2014.01.012
摘要

Objective To explore the attentional bias in first-episode depressive patients and the correlations between the attentional bias. Methods In the beginning of the treatment, a total of 34 first-episode depressive patients in treatment-naive and demography matched 40 healthy controls completed the Chinese Emotional Stroop Task that assessed the attentional bias. Results The comparison between depressive patients and healthy controls on the reaction time of negative, neutral and positive-related words were significant ((1185.71±410.60)ms/(754.68±215.36)ms, t=5.775, P<0.01; (1127.92±344.89)ms/(755.37±213.49)ms, t=5.675, P<0.01; (1166.17±395.72)ms/(761.70±194.66)ms, t=5.708, P<0.01 respectively). Through analysis of variance, the difference of error numbers among the neutral, negative and positive-related words((3.41±2.11)times, (2.24±1.65)times, (2.97±1.17)times) in the depressive patients were significant (F=4.197, P=0.018). The difference of error numbers between negative-related words and neutral-related words were significant through analysis of least significant difference(P<0.01). Conclusion The results suggest that depressive patients before treatment have attentional bias in negative-related word.Attentional bias in negative-related stimuli may be one of the characteristics of cognitive function in first-episode depressive patients. Key words: Depressive patients; Attentional bias; Stroop task

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
科研通AI6.3应助PQ采纳,获得10
1秒前
1秒前
现代半山完成签到 ,获得积分10
1秒前
支鸿完成签到,获得积分10
1秒前
澳bobo发布了新的文献求助10
2秒前
赘婿应助小庞采纳,获得10
2秒前
ZZ发布了新的文献求助10
3秒前
小巧的远望完成签到,获得积分10
3秒前
FreyaDoyle完成签到 ,获得积分10
3秒前
4秒前
5秒前
BX-95发布了新的文献求助10
5秒前
董闪闪完成签到,获得积分10
6秒前
zhutae完成签到,获得积分10
6秒前
天天完成签到,获得积分10
6秒前
6秒前
zzcres发布了新的文献求助20
6秒前
8秒前
楼台杏花琴弦完成签到,获得积分10
8秒前
香菜完成签到,获得积分10
8秒前
yongzaizhuigan完成签到,获得积分10
8秒前
9秒前
周周周周Jared完成签到,获得积分10
9秒前
9秒前
chenxin完成签到,获得积分10
10秒前
KYG完成签到,获得积分20
10秒前
美味的屑狐狸完成签到 ,获得积分10
11秒前
儒雅可燕完成签到,获得积分10
12秒前
12秒前
12秒前
辛勤谷雪发布了新的文献求助10
13秒前
小李的科研同完成签到,获得积分10
13秒前
春实秋华完成签到,获得积分10
13秒前
小玉发布了新的文献求助10
13秒前
赘婿应助科研通管家采纳,获得10
14秒前
14秒前
科研通AI2S应助科研通管家采纳,获得10
14秒前
小蘑菇应助科研通管家采纳,获得30
14秒前
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Principles of town planning : translating concepts to applications 500
Short-Wavelength Infrared Windows for Biomedical Applications 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6060811
求助须知:如何正确求助?哪些是违规求助? 7893171
关于积分的说明 16304659
捐赠科研通 5204784
什么是DOI,文献DOI怎么找? 2784553
邀请新用户注册赠送积分活动 1767097
关于科研通互助平台的介绍 1647334