Alterations in the default mode‐salience network circuit provide a potential mechanism supporting negativity bias in depression

默认模式网络 心理学 功能磁共振成像 显著性(神经科学) 斯特罗普效应 萧条(经济学) 神经科学 听力学 认知 医学 宏观经济学 经济
作者
Anika Guha,Cindy M. Yee,Wendy Heller,Gregory A. Miller
出处
期刊:Psychophysiology [Wiley]
卷期号:58 (12) 被引量:22
标识
DOI:10.1111/psyp.13918
摘要

Abstract Aberrant effective connectivity between default mode (DMN) and salience (SAL) networks may support the tendency of depressed individuals to find it difficult to disengage from self‐focused, negatively‐biased thinking and may contribute to the onset and maintenance of depression. Assessment of effective connectivity, which can statistically characterize the direction of influence between regions within neural circuits, may provide new insights into the nature of DMN‐SAL connectivity disruptions in depression. Functional magnetic resonance imaging (fMRI) was collected from 38 individuals with a history of major depression and 50 healthy comparison participants during completion of an emotion‐word Stroop task. Activation within DMN and SAL networks and effective connectivity between DMN and SAL, assessed via Granger causality, were examined. Individuals with a history of depression exhibited greater overall network activation, greater directed connectivity from DMN to SAL, and less directed connectivity from SAL to DMN than healthy comparison participants during negative‐word trials. Among individuals with a history of depression, greater DMN‐to‐SAL connectivity was associated with lower overall network activation and worse task performance during positive‐word trials; this pattern was not observed among healthy participants. Present findings indicate that greater network activation and, specifically, influence of DMN on SAL, support negativity bias among previously depressed individuals.
最长约 10秒,即可获得该文献文件

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
yyk发布了新的文献求助10
1秒前
mihumihu发布了新的文献求助10
1秒前
Alexander发布了新的文献求助10
1秒前
李健的小迷弟应助zz采纳,获得10
1秒前
日月崇光应助Feng5945采纳,获得20
2秒前
CipherSage应助怡然的便当采纳,获得30
4秒前
4秒前
桐笑发布了新的文献求助10
4秒前
4秒前
6秒前
6秒前
研友_VZG7GZ应助meizijiu采纳,获得10
9秒前
顺利静竹完成签到,获得积分20
9秒前
10秒前
10秒前
科研通AI5应助古清采纳,获得10
10秒前
水桶完成签到,获得积分10
11秒前
ding应助淼淼1采纳,获得10
11秒前
12秒前
学术小白完成签到,获得积分10
13秒前
1号选手发布了新的文献求助10
13秒前
天天快乐应助顺利小蝴蝶采纳,获得10
15秒前
zz发布了新的文献求助10
17秒前
Able阿拉基发布了新的文献求助10
17秒前
19秒前
王小豆完成签到,获得积分10
19秒前
Gyy完成签到,获得积分10
20秒前
肖雪依完成签到,获得积分10
21秒前
21秒前
fanyy完成签到 ,获得积分10
22秒前
22秒前
23秒前
Eraaaaa发布了新的文献求助10
24秒前
墨尘发布了新的文献求助30
25秒前
zyw完成签到,获得积分10
25秒前
25秒前
SciGPT应助hxd采纳,获得10
26秒前
枓研通管家完成签到,获得积分10
26秒前
mimosal发布了新的文献求助10
27秒前
Lucas应助南浅采纳,获得10
27秒前
高分求助中
Applied Survey Data Analysis (第三版, 2025) 800
Assessing and Diagnosing Young Children with Neurodevelopmental Disorders (2nd Edition) 700
Images that translate 500
Algorithmic Mathematics in Machine Learning 500
Handbook of Innovations in Political Psychology 400
Mapping the Stars: Celebrity, Metonymy, and the Networked Politics of Identity 400
Nucleophilic substitution in azasydnone-modified dinitroanisoles 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3842551
求助须知:如何正确求助?哪些是违规求助? 3384645
关于积分的说明 10536396
捐赠科研通 3105179
什么是DOI,文献DOI怎么找? 1710071
邀请新用户注册赠送积分活动 823490
科研通“疑难数据库(出版商)”最低求助积分说明 774110