The Brain's Default Network

默认模式网络 后扣带 心理学 认知 认知心理学 神经科学 认知科学 精神分裂症(面向对象编程) 前额叶皮质 心理化 功能集成 计算机科学 积分方程 数学 精神科 数学分析
作者
Randy L. Buckner,Jessica R. Andrews‐Hanna,Daniel L. Schacter
出处
期刊:Annals of the New York Academy of Sciences [Wiley]
卷期号:1124 (1): 1-38 被引量:9803
标识
DOI:10.1196/annals.1440.011
摘要

Thirty years of brain imaging research has converged to define the brain's default network-a novel and only recently appreciated brain system that participates in internal modes of cognition. Here we synthesize past observations to provide strong evidence that the default network is a specific, anatomically defined brain system preferentially active when individuals are not focused on the external environment. Analysis of connectional anatomy in the monkey supports the presence of an interconnected brain system. Providing insight into function, the default network is active when individuals are engaged in internally focused tasks including autobiographical memory retrieval, envisioning the future, and conceiving the perspectives of others. Probing the functional anatomy of the network in detail reveals that it is best understood as multiple interacting subsystems. The medial temporal lobe subsystem provides information from prior experiences in the form of memories and associations that are the building blocks of mental simulation. The medial prefrontal subsystem facilitates the flexible use of this information during the construction of self-relevant mental simulations. These two subsystems converge on important nodes of integration including the posterior cingulate cortex. The implications of these functional and anatomical observations are discussed in relation to possible adaptive roles of the default network for using past experiences to plan for the future, navigate social interactions, and maximize the utility of moments when we are not otherwise engaged by the external world. We conclude by discussing the relevance of the default network for understanding mental disorders including autism, schizophrenia, and Alzheimer's disease.
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
刚刚
刻苦的煎蛋完成签到,获得积分10
刚刚
1秒前
小人物完成签到,获得积分10
1秒前
大溪系完成签到,获得积分10
1秒前
2秒前
2秒前
2秒前
family365完成签到,获得积分20
3秒前
3秒前
Richardhe完成签到,获得积分10
3秒前
挖掘机完成签到,获得积分10
3秒前
大溪系发布了新的文献求助10
3秒前
4秒前
鲜于枫完成签到,获得积分10
4秒前
hzhang0807发布了新的文献求助10
4秒前
4秒前
Vivian发布了新的文献求助10
6秒前
xiaoting发布了新的文献求助20
6秒前
7秒前
kjh应助颜老大采纳,获得10
7秒前
孤星完成签到,获得积分10
8秒前
Lucas应助小林采纳,获得10
8秒前
Copyright应助心心哈采纳,获得10
8秒前
oozawa完成签到,获得积分10
9秒前
淡然夏寒发布了新的文献求助10
9秒前
9秒前
TaoTao发布了新的文献求助20
10秒前
思源应助Aralia_M采纳,获得10
10秒前
帝蒼完成签到,获得积分10
10秒前
研友_ZbM2qn应助丁仪采纳,获得10
10秒前
青菜发布了新的文献求助10
10秒前
pzhxsy发布了新的文献求助10
11秒前
黑色空格完成签到,获得积分20
13秒前
13秒前
jiangnan应助宛海采纳,获得30
13秒前
13秒前
14秒前
kendrick677完成签到,获得积分10
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
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
适配Micro-LED色转换的高兼容性量子点负性光刻胶制备与工艺研究 500
Direct and Iterative Linear System Solvers 500
Vander's Renal Physiology第10版 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7307377
求助须知:如何正确求助?哪些是违规求助? 8925089
关于积分的说明 18911502
捐赠科研通 6970018
什么是DOI,文献DOI怎么找? 3212543
关于科研通互助平台的介绍 2381157
邀请新用户注册赠送积分活动 2190201