Decoupling of large-scale brain networks supports the consolidation of durable episodic memories

默认模式网络 记忆巩固 情景记忆 心理学 解耦(概率) 召回 合并(业务) 认知 同步性 神经科学 认知心理学 计算机科学 海马体 会计 工程类 控制工程 精神分析 业务
作者
Markus H. Sneve,Håkon Grydeland,Inge K. Amlien,Espen Langnes,Kristine B. Walhovd,Anders M. Fjell
出处
期刊:NeuroImage [Elsevier BV]
卷期号:153: 336-345 被引量:17
标识
DOI:10.1016/j.neuroimage.2016.05.048
摘要

At a large scale, the human brain is organized into modules of interconnected regions, some of which play opposing roles in supporting cognition. In particular, the Default-Mode Network (DMN) has been linked to operations on internal representations, while task-positive networks are recruited during interactions with the external world. Here, we test the hypothesis that the generation of durable long-term memories depends on optimal recruitment of such antagonistic large-scale networks. As long-term memory consolidation is a process ongoing for days and weeks after an experience, we propose that individuals characterized by strong decoupling of the DMN and task-positive networks at rest operate in a mode beneficial for the long-term stabilization of episodic memories. To capture network connectivity unaffected by transient task demands and representative of brain behavior outside an experimental setting, 87 participants were scanned during rest before performing an associative encoding task. To link individual resting-state functional connectivity patterns to time-dependent memory consolidation processes, participants were given an unannounced memory test, either after a brief interval or after a retention period of ~6 weeks. We found that participants with a resting state characterized by high synchronicity in a DMN-centered network system and low synchronicity between task-positive networks showed superior recollection weeks after encoding. These relationships were not observed for information probed only hours after encoding. Furthermore, the two network systems were found to be anticorrelated. Our results suggest that this memory-relevant antagonism between DMN and task-positive networks is maintained through complex regulatory interactions between the systems.
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
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
卓妮发布了新的文献求助10
刚刚
刚刚
刚刚
大知闲闲完成签到 ,获得积分10
刚刚
刚刚
1秒前
2秒前
2秒前
Yummy发布了新的文献求助10
2秒前
小肥羊完成签到 ,获得积分10
3秒前
化学喵完成签到 ,获得积分10
4秒前
小白白发布了新的文献求助10
4秒前
张新悦发布了新的文献求助10
4秒前
kirren发布了新的文献求助20
5秒前
6秒前
magneto完成签到,获得积分10
6秒前
清爽老九发布了新的文献求助100
6秒前
6秒前
北极黑猩猩完成签到,获得积分10
7秒前
D&L完成签到,获得积分10
7秒前
平凡的书雁完成签到,获得积分10
7秒前
完美世界应助11采纳,获得10
7秒前
skyfall发布了新的文献求助10
8秒前
rong_w发布了新的文献求助10
8秒前
欣慰的天荷完成签到 ,获得积分10
8秒前
laz发布了新的文献求助10
9秒前
mengliCHI完成签到 ,获得积分10
9秒前
英姑应助阳光易巧采纳,获得10
9秒前
花城完成签到,获得积分10
9秒前
Ava应助远方采纳,获得10
9秒前
小二郎应助吉吉采纳,获得10
9秒前
ppppp发布了新的文献求助10
10秒前
10秒前
穆空完成签到,获得积分10
10秒前
10秒前
10秒前
囚徒发布了新的文献求助10
11秒前
11秒前
伍声痕完成签到,获得积分10
12秒前
momo完成签到,获得积分10
12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
Pipeline and riser loss of containment 2001 - 2020 (PARLOC 2020) 1000
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 500
A Manual for the Identification of Plant Seeds and Fruits : Second revised edition 500
Refractory Castable Engineering 400
Modern Britain, 1750 to the Present (求助第2版!!!) 400
Social work values and ethics (6th ed.) 360
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5180491
求助须知:如何正确求助?哪些是违规求助? 4367921
关于积分的说明 13600823
捐赠科研通 4218743
什么是DOI,文献DOI怎么找? 2313774
邀请新用户注册赠送积分活动 1312578
关于科研通互助平台的介绍 1261128