已入深夜,您辛苦了!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!祝你早点完成任务,早点休息,好梦!

The brain’s default network: updated anatomy, physiology and evolving insights

神经科学 猕猴 默认模式网络 生物神经网络 狨猴 神经网络 联想(心理学) 丘脑 认知科学 心理学 生物 功能连接 古生物学 心理治疗师
作者
Randy L. Buckner,Lauren M. DiNicola
出处
期刊:Nature Reviews Neuroscience [Springer Nature]
卷期号:20 (10): 593-608 被引量:1067
标识
DOI:10.1038/s41583-019-0212-7
摘要

Discoveries over the past two decades demonstrate that regions distributed throughout the association cortex, often called the default network, are suppressed during tasks that demand external attention and are active during remembering, envisioning the future and making social inferences. This Review describes progress in understanding the organization and function of networks embedded within these association regions. Detailed high-resolution analyses of single individuals suggest that the default network is not a single network, as historically described, but instead comprises multiple interwoven networks. The multiple networks share a common organizational motif (also evident in marmoset and macaque anatomical circuits) that might support a general class of processing function dependent on internally constructed rather than externally constrained representations, with each separate interwoven network specialized for a distinct processing domain. Direct neuronal recordings in humans and monkeys reveal evidence for competitive relationships between the internally and externally oriented networks. Findings from rodent studies suggest that the thalamus might be essential to controlling which networks are engaged through specialized thalamic reticular neurons, including antagonistic subpopulations. These association networks (and presumably thalamocortical circuits) are expanded in humans and might be particularly vulnerable to dysregulation implicated in mental illness. The brain’s default network is thought to comprise a set of regions in the association cortex. Randy Buckner and Lauren DiNicola review findings from humans, monkeys and rodents indicating that multiple subnetworks make up the default network and explore the implications of these observations.
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
开心点完成签到 ,获得积分10
2秒前
3秒前
7秒前
11秒前
淡淡念柏发布了新的文献求助10
11秒前
传奇3应助GDL采纳,获得10
12秒前
Bin_Liu完成签到,获得积分20
16秒前
大模型应助muyi采纳,获得10
16秒前
ramia完成签到 ,获得积分10
16秒前
Markypooh完成签到,获得积分10
20秒前
20秒前
22秒前
打打应助晨是采纳,获得30
23秒前
卡卡东完成签到 ,获得积分10
24秒前
NEUROVASCULAR完成签到,获得积分10
25秒前
26秒前
GDL发布了新的文献求助10
26秒前
123发布了新的文献求助10
28秒前
香蕉觅云应助细心纸飞机采纳,获得10
29秒前
赝品也烂漫完成签到,获得积分10
29秒前
30秒前
从容未来完成签到,获得积分10
30秒前
32秒前
黑熊完成签到,获得积分10
33秒前
西尔关注了科研通微信公众号
37秒前
晨是发布了新的文献求助30
38秒前
morena发布了新的文献求助10
38秒前
淡淡念柏发布了新的文献求助10
38秒前
易怀亮完成签到,获得积分10
40秒前
Aliaoovo完成签到,获得积分10
40秒前
40秒前
41秒前
Dryang完成签到 ,获得积分10
41秒前
physicalpicture完成签到,获得积分10
42秒前
43秒前
45秒前
Lea发布了新的文献求助10
46秒前
SciGPT应助dldlwzdl采纳,获得15
47秒前
Akim应助GDL采纳,获得10
50秒前
51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
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
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 5714084
求助须知:如何正确求助?哪些是违规求助? 5220378
关于积分的说明 15272661
捐赠科研通 4865670
什么是DOI,文献DOI怎么找? 2612250
邀请新用户注册赠送积分活动 1562416
关于科研通互助平台的介绍 1519611