• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

静息态默认模式网络状态可预测心理旋转任务的认知任务表现水平。

The prestimulus default mode network state predicts cognitive task performance levels on a mental rotation task.

机构信息

Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands.

Maastricht Brain Imaging Center (M-BIC), Maastricht, The Netherlands.

出版信息

Brain Behav. 2018 Aug;8(8):e01034. doi: 10.1002/brb3.1034. Epub 2018 Jun 22.

DOI:10.1002/brb3.1034
PMID:29934977
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6085906/
Abstract

BACKGROUND

Linking individual task performance to preceding, regional brain activation is an ongoing goal of neuroscientific research. Recently, it could be shown that the activation and connectivity within large-scale brain networks prior to task onset influence performance levels. More specifically, prestimulus default mode network (DMN) effects have been linked to performance levels in sensory near-threshold tasks, as well as cognitive tasks. However, it still remains uncertain how the DMN state preceding cognitive tasks affects performance levels when the period between task trials is long and flexible, allowing participants to engage in different cognitive states.

METHODS

We here investigated whether the prestimulus activation and within-network connectivity of the DMN are predictive of the correctness and speed of task performance levels on a cognitive (match-to-sample) mental rotation task, employing a sparse event-related functional magnetic resonance imaging (fMRI) design.

RESULTS

We found that prestimulus activation in the DMN predicted the speed of correct trials, with a lower amplitude preceding correct fast response trials compared to correct slow response trials. Moreover, we found higher connectivity within the DMN before incorrect trials compared to correct trials.

CONCLUSION

These results indicate that pre-existing activation and connectivity states within the DMN influence task performance on cognitive tasks, both effecting the correctness and speed of task execution. The findings support existing theories and empirical work on relating mind-wandering and cognitive task performance to the DMN and expand these by establishing a relationship between the prestimulus DMN state and the speed of cognitive task performance.

摘要

背景

将个体任务表现与之前的区域大脑激活联系起来是神经科学研究的一个持续目标。最近,人们可以证明任务开始前的大脑大网络中的激活和连接会影响表现水平。更具体地说,刺激前默认模式网络 (DMN) 的效应已经与感觉接近阈限任务以及认知任务的表现水平相关联。然而,当任务试验之间的时间间隔长且灵活,允许参与者参与不同的认知状态时,DMN 状态如何影响认知任务之前的表现水平仍然不确定。

方法

我们在这里研究了在认知(匹配样本)心理旋转任务中,DMN 的刺激前激活和网络内连接是否可以预测任务表现水平的正确性和速度,采用稀疏事件相关功能磁共振成像 (fMRI) 设计。

结果

我们发现 DMN 的刺激前激活预测了正确试次的速度,与正确慢反应试次相比,正确快反应试次的振幅较低。此外,我们发现错误试次前 DMN 内的连接性高于正确试次。

结论

这些结果表明,DMN 内预先存在的激活和连接状态会影响认知任务的表现,同时影响任务执行的正确性和速度。这些发现支持了将漫游思维和认知任务表现与 DMN 联系起来的现有理论和实证工作,并通过建立刺激前 DMN 状态与认知任务表现速度之间的关系来扩展这些工作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b87/6085906/ba338a3716b3/BRB3-8-e01034-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b87/6085906/7c32c4a220f2/BRB3-8-e01034-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b87/6085906/06cb629eae42/BRB3-8-e01034-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b87/6085906/67c5bdc2b3a2/BRB3-8-e01034-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b87/6085906/ba338a3716b3/BRB3-8-e01034-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b87/6085906/7c32c4a220f2/BRB3-8-e01034-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b87/6085906/06cb629eae42/BRB3-8-e01034-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b87/6085906/67c5bdc2b3a2/BRB3-8-e01034-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b87/6085906/ba338a3716b3/BRB3-8-e01034-g004.jpg

相似文献

1
The prestimulus default mode network state predicts cognitive task performance levels on a mental rotation task.静息态默认模式网络状态可预测心理旋转任务的认知任务表现水平。
Brain Behav. 2018 Aug;8(8):e01034. doi: 10.1002/brb3.1034. Epub 2018 Jun 22.
2
Modulation of effective connectivity in the default mode network at rest and during a memory task.静息状态及记忆任务期间默认模式网络中有效连接性的调制。
Brain Connect. 2015 Feb;5(1):60-7. doi: 10.1089/brain.2014.0249. Epub 2014 Dec 29.
3
Task-positive Functional Connectivity of the Default Mode Network Transcends Task Domain.默认模式网络的任务积极功能连接超越任务领域。
J Cogn Neurosci. 2015 Dec;27(12):2369-81. doi: 10.1162/jocn_a_00859. Epub 2015 Aug 5.
4
Prestimulus default mode activity influences depth of processing and recognition in an emotional memory task.刺激前默认模式活动会影响情绪记忆任务中的加工深度和识别。
Hum Brain Mapp. 2016 Mar;37(3):924-32. doi: 10.1002/hbm.23076. Epub 2015 Dec 10.
5
Anticipatory processes in brain state switching - evidence from a novel cued-switching task implicating default mode and salience networks.大脑状态切换中的预期过程——一项新的提示切换任务的证据,该任务涉及默认模式网络和突显网络。
Neuroimage. 2014 Sep;98:359-65. doi: 10.1016/j.neuroimage.2014.05.010. Epub 2014 May 12.
6
Functional connectivity of intrinsic cognitive networks during resting state and task performance in preadolescent children.静息态和任务表现时青少年前内在认知网络的功能连接。
PLoS One. 2018 Oct 17;13(10):e0205690. doi: 10.1371/journal.pone.0205690. eCollection 2018.
7
Is a Responsive Default Mode Network Required for Successful Working Memory Task Performance?成功完成工作记忆任务是否需要一个反应性的默认模式网络?
J Neurosci. 2015 Aug 19;35(33):11595-605. doi: 10.1523/JNEUROSCI.0264-15.2015.
8
Default Mode Dynamics for Global Functional Integration.全球功能整合的默认模式动力学
J Neurosci. 2015 Nov 18;35(46):15254-62. doi: 10.1523/JNEUROSCI.2135-15.2015.
9
Task-based co-activation patterns reliably predict resting state canonical network engagement during development.基于任务的共同激活模式可可靠地预测发育过程中静息状态规范网络的参与。
Dev Cogn Neurosci. 2022 Dec;58:101160. doi: 10.1016/j.dcn.2022.101160. Epub 2022 Oct 8.
10
An Exploratory Investigation of Functional Network Connectivity of Empathy and Default Mode Networks in a Free-Viewing Task.一项关于自由观看任务中同理心与默认模式网络功能网络连接性的探索性研究。
Brain Connect. 2015 Aug;5(6):384-400. doi: 10.1089/brain.2014.0260. Epub 2015 Jul 22.

引用本文的文献

1
Lifespan oscillatory dynamics in lexical production: A population-based MEG resting-state analysis.词汇生成中的寿命振荡动力学:基于人群的脑磁图静息态分析。
Imaging Neurosci (Camb). 2025 Apr 28;3. doi: 10.1162/imag_a_00551. eCollection 2025.
2
Alterations of the default mode network, salience network, and frontoparietal network in non-problematic Internet use and their association with mood regulation: from an internet literacy perspective.非问题性互联网使用中默认模式网络、突显网络和额顶叶网络的改变及其与情绪调节的关联:基于网络素养视角
Front Neurosci. 2025 Jul 1;19:1599987. doi: 10.3389/fnins.2025.1599987. eCollection 2025.
3

本文引用的文献

1
Internal and external attention and the default mode network.内部注意和外部注意与默认模式网络。
Neuroimage. 2017 Mar 1;148:381-389. doi: 10.1016/j.neuroimage.2017.01.044. Epub 2017 Jan 18.
2
Alterations in task-induced activity and resting-state fluctuations in visual and DMN areas revealed in long-term meditators.长期冥想者视觉和默认模式网络区域任务诱发活动及静息态波动的改变。
Neuroimage. 2016 Jul 15;135:125-34. doi: 10.1016/j.neuroimage.2016.04.024. Epub 2016 Apr 22.
3
Spontaneous Fluctuations in the Flexible Control of Covert Attention.
Flexibility of intrinsic neural timescales during distinct behavioral states.
不同行为状态下内在神经时间尺度的灵活性。
Commun Biol. 2024 Dec 19;7(1):1667. doi: 10.1038/s42003-024-07349-1.
4
Time discrimination and change detection could share a common brain network: findings of a task-based fMRI study.时间辨别与变化检测可能共享一个共同的脑网络:一项基于任务的功能磁共振成像研究的结果。
Front Psychol. 2023 Jun 22;14:1110972. doi: 10.3389/fpsyg.2023.1110972. eCollection 2023.
5
Electrophysiological foundations of the human default-mode network revealed by intracranial-EEG recordings during resting-state and cognition.颅内 EEG 记录在静息状态和认知过程中揭示的人类默认模式网络的电生理基础。
Neuroimage. 2022 Apr 15;250:118927. doi: 10.1016/j.neuroimage.2022.118927. Epub 2022 Jan 21.
6
Working memory in schizophrenia: The role of the locus coeruleus and its relation to functional brain networks.精神分裂症的工作记忆:蓝斑核的作用及其与功能脑网络的关系。
Brain Behav. 2021 May;11(5):e02130. doi: 10.1002/brb3.2130. Epub 2021 Mar 30.
7
The prestimulus default mode network state predicts cognitive task performance levels on a mental rotation task.刺激前默认模式网络状态可预测心理旋转任务中的认知任务表现水平。
Brain Behav. 2018 Dec;8(12):e01186. doi: 10.1002/brb3.1186.
隐蔽注意灵活控制中的自发波动
J Neurosci. 2016 Jan 13;36(2):445-54. doi: 10.1523/JNEUROSCI.2323-15.2016.
4
Prestimulus default mode activity influences depth of processing and recognition in an emotional memory task.刺激前默认模式活动会影响情绪记忆任务中的加工深度和识别。
Hum Brain Mapp. 2016 Mar;37(3):924-32. doi: 10.1002/hbm.23076. Epub 2015 Dec 10.
5
Ongoing dynamics in large-scale functional connectivity predict perception.大规模功能连接性中的持续动态变化可预测感知。
Proc Natl Acad Sci U S A. 2015 Jul 7;112(27):8463-8. doi: 10.1073/pnas.1420687112. Epub 2015 Jun 23.
6
The science of mind wandering: empirically navigating the stream of consciousness.心智游移的科学:从经验上驾驭意识流。
Annu Rev Psychol. 2015 Jan 3;66:487-518. doi: 10.1146/annurev-psych-010814-015331. Epub 2014 Sep 29.
7
Pre-existing brain states predict aesthetic judgments.先前存在的脑状态预测审美判断。
Hum Brain Mapp. 2014 Jul;35(7):2924-34. doi: 10.1002/hbm.22374. Epub 2013 Sep 13.
8
Spontaneous EEG alpha oscillation interacts with positive and negative BOLD responses in the visual-auditory cortices and default-mode network.自发脑电 α 振荡与视觉-听觉皮层及默认网络的正、负 BOLD 反应相互作用。
Neuroimage. 2013 Aug 1;76:362-72. doi: 10.1016/j.neuroimage.2013.02.070. Epub 2013 Mar 15.
9
In the zone or zoning out? Tracking behavioral and neural fluctuations during sustained attention.在区域内还是区域外?追踪持续注意力期间的行为和神经波动。
Cereb Cortex. 2013 Nov;23(11):2712-23. doi: 10.1093/cercor/bhs261. Epub 2012 Aug 31.
10
Prestimulus hemodynamic activity in dorsal attention network is negatively associated with decision confidence in visual perception.刺激前背侧注意网络的血液动力学活动与视觉感知决策信心呈负相关。
J Neurophysiol. 2012 Sep;108(5):1529-36. doi: 10.1152/jn.00184.2012. Epub 2012 Jun 20.