亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Spectral dynamic causal modeling of mindfulness, mind-wandering, and resting-state in the triple network using fMRI

走神 默认模式网络 注意 静息状态功能磁共振成像 心理学 显著性(神经科学) 认知心理学 神经科学 功能磁共振成像 认知 心理治疗师
作者
Hyun‐Chul Kim,Jong‐Hwan Lee
出处
期刊:Neuroreport [Ovid Technologies (Wolters Kluwer)]
卷期号:33 (5): 221-226 被引量:4
标识
DOI:10.1097/wnr.0000000000001772
摘要

Functional connectivity in intrinsic brain networks, namely, the triple network, which includes the salience network, default mode network (DMN) and central executive network (CEN), has been suggested as prominent, major networks involved in human cognition and mental state-mindfulness, mind-wandering and resting-state. Despite the established roles of functional connections within and between intrinsic networks, there has been limited research on the effective connectivity of mindfulness, mind-wandering and resting-state using the triple network, as well as on their direct comparisons.We employed spectral dynamic causal modeling to compare effective connectivity patterns across mindfulness (i.e. attention focused on physical sensations of breathing), mind-wandering (i.e. connecting thoughts) and resting-state (i.e. relaxing while remaining calm and awake) conditions using functional MRI data of healthy subjects who underwent ambulatory training by practicing mindfulness and mind-wandering (N = 59).When comparing mindfulness and mindwandering conditions, our analysis results revealed that salience network and CEN interacted depending on mindfulness or mind-wandering. When mindfulness or mind-wandering was compared to resting-state, mindfulness increased the effective connectivity from the left CEN to salience network through DMN, whereas mindwandering increased the effective connectivity from the DMN to right CEN.To the best of our knowledge, this is the first study to examine possible differences in effective connectivity patterns among mindfulness, mind-wandering and resting-state using the triple network. We believe that our findings will provide deeper insights into the neural substrates of mindfulness compared to mind-wandering and resting-state.

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
周墨完成签到 ,获得积分10
4秒前
8秒前
8秒前
星辰大海应助粽子采纳,获得10
12秒前
包容的珠发布了新的文献求助10
12秒前
jeronimo完成签到,获得积分10
14秒前
久等雨归发布了新的文献求助10
15秒前
wh发布了新的文献求助30
19秒前
鱼鱼籽不认路完成签到 ,获得积分10
20秒前
21秒前
22秒前
23秒前
27秒前
27秒前
哈喽发布了新的文献求助10
28秒前
31秒前
8788发布了新的文献求助30
31秒前
SciGPT应助CyberLee采纳,获得10
31秒前
小菜霍完成签到 ,获得积分10
32秒前
狗头233发布了新的文献求助10
33秒前
粽子发布了新的文献求助10
35秒前
Wawoo完成签到,获得积分10
36秒前
隐形曼青应助包容的珠采纳,获得30
38秒前
星辰大海应助科研通管家采纳,获得10
39秒前
Hello应助科研通管家采纳,获得10
39秒前
Hello应助酷炫的爆米花采纳,获得10
39秒前
dsfiugelau应助菠萝吹雪采纳,获得10
41秒前
null应助微生采纳,获得100
42秒前
科研通AI6.2应助wh采纳,获得10
43秒前
大个应助英勇初曼采纳,获得10
46秒前
48秒前
50秒前
123发布了新的文献求助10
51秒前
华仔应助0000采纳,获得40
55秒前
melody发布了新的文献求助10
56秒前
57秒前
祁乾完成签到 ,获得积分10
58秒前
英勇初曼发布了新的文献求助10
1分钟前
魔幻的雁完成签到 ,获得积分10
1分钟前
1分钟前
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
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
First commercial application of ELCRES™ HTV150A film in Nichicon capacitors for AC-DC inverters: SABIC at PCIM Europe 1000
Feldspar inclusion dating of ceramics and burnt stones 1000
Digital and Social Media Marketing 600
Zeolites: From Fundamentals to Emerging Applications 600
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 5987869
求助须知:如何正确求助?哪些是违规求助? 7408241
关于积分的说明 16048438
捐赠科研通 5128481
什么是DOI,文献DOI怎么找? 2751750
邀请新用户注册赠送积分活动 1723056
关于科研通互助平台的介绍 1627061