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 经济 宏观经济学
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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
Lucas应助虾仁不眨眼采纳,获得10
1秒前
橘子完成签到,获得积分10
1秒前
1秒前
1秒前
Akim应助游标卡尺采纳,获得10
2秒前
科研通AI6应助儒雅的醉柳采纳,获得10
2秒前
花开富贵发布了新的文献求助10
3秒前
苏silence发布了新的文献求助10
3秒前
吴子涵发布了新的文献求助10
3秒前
3秒前
风清扬应助张昭蓉采纳,获得30
3秒前
4秒前
lele发布了新的文献求助10
4秒前
5秒前
Gloriauuu完成签到,获得积分20
5秒前
斯文败类应助3089ggf采纳,获得10
7秒前
迅速映容发布了新的文献求助10
7秒前
沟通亿心发布了新的文献求助10
7秒前
TN发布了新的文献求助10
8秒前
田様应助炙热龙猫采纳,获得10
8秒前
传奇3应助56采纳,获得10
8秒前
忧心的康关注了科研通微信公众号
8秒前
8秒前
Luminance完成签到,获得积分10
9秒前
传奇3应助科研通管家采纳,获得10
9秒前
SciGPT应助科研通管家采纳,获得10
10秒前
上官若男应助科研通管家采纳,获得10
10秒前
丘比特应助科研通管家采纳,获得10
10秒前
科研通AI6应助科研通管家采纳,获得10
10秒前
orixero应助科研通管家采纳,获得10
10秒前
烟花应助科研通管家采纳,获得10
10秒前
深情安青应助科研通管家采纳,获得10
10秒前
成就凡双应助重要衬衫采纳,获得30
10秒前
10秒前
ding应助科研通管家采纳,获得10
10秒前
10秒前
pluto应助科研通管家采纳,获得10
10秒前
科研通AI6应助k_1采纳,获得10
10秒前
852应助科研通管家采纳,获得10
10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
List of 1,091 Public Pension Profiles by Region 1621
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] | NHBS Field Guides & Natural History 1500
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 1000
Brittle fracture in welded ships 1000
King Tyrant 680
Linear and Nonlinear Functional Analysis with Applications, Second Edition 388
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5578178
求助须知:如何正确求助?哪些是违规求助? 4663118
关于积分的说明 14744673
捐赠科研通 4603816
什么是DOI,文献DOI怎么找? 2526698
邀请新用户注册赠送积分活动 1496310
关于科研通互助平台的介绍 1465712