• 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

岛叶和壳核为中心的功能连接网络反映了健康老年人在多项任务中主观体验到的认知疲劳。

Insula and putamen centered functional connectivity networks reflect healthy agers' subjective experience of cognitive fatigue in multiple tasks.

机构信息

Department of Neuroscience, University of Rochester Medical Center, USA; Department of Biomedical Engineering, University of Rochester, USA.

Shenzhen Kangning Hospital, Guangdong, China; School of Nursing, University of Rochester Medical Center, USA.

出版信息

Cortex. 2019 Oct;119:428-440. doi: 10.1016/j.cortex.2019.07.019. Epub 2019 Aug 14.

DOI:10.1016/j.cortex.2019.07.019
PMID:31499435
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6783365/
Abstract

Cognitive fatigue (CF) impairs ability to perform daily activities, is a common complaint of aging and a symptom of multiple neurological conditions. However, knowledge of the neural basis of CF is limited. This is partially because CF is difficult to systematically modulate in brain imaging experiments. The most common approach has been to scan brain activity during effortful cognitive tasks. Consequently, neural correlates of CF tend to be task-specific and may vary across tasks. This makes it difficult to know how results generalize across studies and is outside the subjective experience of CF which tends to be similar in different tasks. It has been hypothesized that the subjective experience of CF might arise from domain general systems monitoring and acting on energy depletion in task specific circuits. Direct supporting neural evidence is lacking. By repeatedly scanning aging individuals undertaking four different tasks using functional Magnetic Resonance Imaging and referencing scans to detailed CF self-ratings taken before and after scanning, we sought task-general correlates of CF. We ran a data-driven representational similarity analysis, treating each brain region as a candidate CF functional connectivity hub, and correlating inter-participant differences in hub-based connectivity patterns with inter-participant differences in self-rated CF-profiles (a pattern of ratings across 18 questions). Both right insula and right putamen-based network connectivity patterns reflected CF across all tasks and could underpin subjective experience of CF.

摘要

认知疲劳(CF)会损害执行日常活动的能力,是衰老的常见抱怨,也是多种神经疾病的症状。然而,对 CF 的神经基础知之甚少。这部分是因为 CF 在脑成像实验中难以系统地调节。最常见的方法是在费力的认知任务中扫描大脑活动。因此,CF 的神经相关性往往是特定于任务的,并且可能因任务而异。这使得很难知道研究结果如何在不同的研究中推广,并且与 CF 的主观体验不一致,CF 在不同的任务中往往是相似的。有人假设,CF 的主观体验可能源于对特定于任务的电路中能量消耗的一般领域系统的监测和作用。直接支持神经的证据是缺乏的。通过使用功能磁共振成像对 4 项不同任务进行反复扫描,并参考扫描前后的详细 CF 自我评分,我们寻找 CF 的任务一般相关性。我们进行了数据驱动的表示相似性分析,将每个大脑区域视为候选 CF 功能连接枢纽,并将基于枢纽的连接模式的参与者间差异与自我评定的 CF 图谱(18 个问题的评分模式)的参与者间差异相关联。右岛叶和右壳核的网络连接模式都反映了所有任务中的 CF,并且可以为 CF 的主观体验提供支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a4e/6783365/42f5d951b9ef/nihms-1537478-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a4e/6783365/f724670d97a4/nihms-1537478-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a4e/6783365/2180514db320/nihms-1537478-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a4e/6783365/ff866d931d1b/nihms-1537478-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a4e/6783365/cc37345660dc/nihms-1537478-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a4e/6783365/42f5d951b9ef/nihms-1537478-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a4e/6783365/f724670d97a4/nihms-1537478-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a4e/6783365/2180514db320/nihms-1537478-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a4e/6783365/ff866d931d1b/nihms-1537478-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a4e/6783365/cc37345660dc/nihms-1537478-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a4e/6783365/42f5d951b9ef/nihms-1537478-f0005.jpg

相似文献

1
Insula and putamen centered functional connectivity networks reflect healthy agers' subjective experience of cognitive fatigue in multiple tasks.岛叶和壳核为中心的功能连接网络反映了健康老年人在多项任务中主观体验到的认知疲劳。
Cortex. 2019 Oct;119:428-440. doi: 10.1016/j.cortex.2019.07.019. Epub 2019 Aug 14.
2
The role of neural flexibility in cognitive aging.神经灵活性在认知老化中的作用。
Neuroimage. 2022 Feb 15;247:118784. doi: 10.1016/j.neuroimage.2021.118784. Epub 2021 Dec 11.
3
Effects of task complexity and age-differences on task-related functional connectivity of attentional networks.任务复杂性和年龄差异对注意网络任务相关功能连接的影响。
Neuropsychologia. 2018 Jun;114:50-64. doi: 10.1016/j.neuropsychologia.2018.04.013. Epub 2018 Apr 12.
4
The Reference Ability Neural Network Study: motivation, design, and initial feasibility analyses.参考能力神经网络研究:动机、设计与初步可行性分析。
Neuroimage. 2014 Dec;103:139-151. doi: 10.1016/j.neuroimage.2014.09.029. Epub 2014 Sep 20.
5
Increased sensitivity to age-related differences in brain functional connectivity during continuous multiple object tracking compared to resting-state.与静息状态相比,连续多项追踪任务中大脑功能连接的年龄相关差异的敏感性增加。
Neuroimage. 2017 Mar 1;148:364-372. doi: 10.1016/j.neuroimage.2017.01.048. Epub 2017 Jan 20.
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
Task modulations and clinical manifestations in the brain functional connectome in 1615 fMRI datasets.1615个功能磁共振成像数据集的大脑功能连接组中的任务调制和临床表现
Neuroimage. 2017 Feb 15;147:243-252. doi: 10.1016/j.neuroimage.2016.11.073. Epub 2016 Dec 1.
8
The Segregation and Integration of Distinct Brain Networks and Their Relationship to Cognition.不同脑网络的分离与整合及其与认知的关系。
J Neurosci. 2016 Nov 30;36(48):12083-12094. doi: 10.1523/JNEUROSCI.2965-15.2016.
9
Task- and stimulus-related cortical networks in language production: Exploring similarity of MEG- and fMRI-derived functional connectivity.语言产生中与任务和刺激相关的皮层网络:探索基于脑磁图(MEG)和功能磁共振成像(fMRI)的功能连接的相似性。
Neuroimage. 2015 Oct 15;120:75-87. doi: 10.1016/j.neuroimage.2015.07.017. Epub 2015 Jul 11.
10
Functional connectivity of task context representations in prefrontal nodes of the multiple demand network.多重需求网络前额叶节点中任务情境表示的功能连接。
Brain Struct Funct. 2018 Jun;223(5):2455-2473. doi: 10.1007/s00429-018-1638-9. Epub 2018 Mar 3.

引用本文的文献

1
Mapping the brain's fatigue network: a transdiagnostic systematic review and meta-analysis on functional correlates of mental fatigue.绘制大脑疲劳网络:一项关于精神疲劳功能相关性的跨诊断系统评价和荟萃分析
Brain Commun. 2025 Aug 28;7(5):fcaf315. doi: 10.1093/braincomms/fcaf315. eCollection 2025.
2
Cerebral Blood Flow Changes and Their Spatial Correlations With GABAa and Dopamine-D1 Receptor Explaining Individual Differences in Chronic Insomnia and the Therapeutic Effects of Acupuncture.脑血流变化及其与GABAa和多巴胺D1受体的空间相关性,解释慢性失眠的个体差异及针灸的治疗效果。
Hum Brain Mapp. 2025 Mar;46(4):e70183. doi: 10.1002/hbm.70183.
3

本文引用的文献

1
Motivational fatigue: A neurocognitive framework for the impact of effortful exertion on subsequent motivation.动机疲劳:努力付出对后续动机影响的神经认知框架。
Neuropsychologia. 2019 Feb 4;123:141-151. doi: 10.1016/j.neuropsychologia.2018.04.030. Epub 2018 May 5.
2
Functional Connectivity Analysis of Mental Fatigue Reveals Different Network Topological Alterations Between Driving and Vigilance Tasks.精神疲劳的功能连接分析揭示了驾驶和警觉任务之间不同的网络拓扑结构改变。
IEEE Trans Neural Syst Rehabil Eng. 2018 Apr;26(4):740-749. doi: 10.1109/TNSRE.2018.2791936.
3
Central fatigue theory and endurance exercise: Toward an interoceptive model.
Pupil Trend Reflects Suboptimal Alertness Maintenance over 10 s in Vigilance and Working Memory Performance: An Exploratory Study.
瞳孔趋势反映了在警觉性和工作记忆表现中超过10秒的次优警觉性维持:一项探索性研究。
eNeuro. 2024 Dec 12;11(12). doi: 10.1523/ENEURO.0250-24.2024. Print 2024 Dec.
4
Vision-based estimation of fatigue and engagement in cognitive training sessions.基于视觉的认知训练过程中疲劳和投入度的估计。
Artif Intell Med. 2024 Aug;154:102923. doi: 10.1016/j.artmed.2024.102923. Epub 2024 Jun 27.
5
Brain abnormalities in survivors of COVID-19 after 2-year recovery: a functional MRI study.新冠康复两年后幸存者的脑部异常:一项功能磁共振成像研究
Lancet Reg Health West Pac. 2024 May 9;47:101086. doi: 10.1016/j.lanwpc.2024.101086. eCollection 2024 Jun.
6
A Multi-Dimensional Model of Fatigue in Old Age: Implications for Brain Aging.老年疲劳的多维度模型:对大脑老化的影响。
Am J Geriatr Psychiatry. 2023 Feb;31(2):152-161. doi: 10.1016/j.jagp.2022.10.007. Epub 2022 Nov 5.
7
Neural Research on Depth Perception and Stereoscopic Visual Fatigue in Virtual Reality.虚拟现实中深度感知与立体视觉疲劳的神经学研究
Brain Sci. 2022 Sep 11;12(9):1231. doi: 10.3390/brainsci12091231.
8
Adult Age Differences in the Effects of Chronic Mental Fatigue on Task-Related Fatigue, Appraisals, and Performance.慢性精神疲劳对任务相关疲劳、评估和表现影响的成人年龄差异
Motiv Sci. 2021 Jun;7(2):122-132. doi: 10.1037/mot0000216. Epub 2021 Jan 21.
9
Neural and computational mechanisms of momentary fatigue and persistence in effort-based choice.基于努力的选择中瞬间疲劳和持续的神经和计算机制。
Nat Commun. 2021 Jul 28;12(1):4593. doi: 10.1038/s41467-021-24927-7.
10
Few Structural Brain Changes Associated With Moderate-Intensity Interval Training and Low-Intensity Continuous Training in a Randomized Trial of Fitness and Older Adults.在一项针对健康和老年人的随机试验中,中等强度间歇训练和低强度连续训练与大脑结构变化的相关性很小。
J Aging Phys Act. 2021 Jun 1;29(3):505-515. doi: 10.1123/japa.2019-0352. Epub 2020 Dec 2.
中枢疲劳理论与耐力运动:走向一种内脏感觉模型。
Neurosci Biobehav Rev. 2018 Oct;93:93-107. doi: 10.1016/j.neubiorev.2018.03.024. Epub 2018 Mar 30.
4
Neural correlates of effort-dependent and effort-independent cognitive fatigue components in patients with multiple sclerosis.多发性硬化症患者中与努力相关和不相关的认知疲劳成分的神经相关性。
Mult Scler. 2019 Feb;25(2):256-266. doi: 10.1177/1352458517743090. Epub 2017 Nov 21.
5
Cognitive fatigue in individuals with traumatic brain injury is associated with caudate activation.创伤性脑损伤患者的认知疲劳与尾状核激活有关。
Sci Rep. 2017 Aug 21;7(1):8973. doi: 10.1038/s41598-017-08846-6.
6
Fronto-striatal network activation leads to less fatigue in multiple sclerosis.额-纹状体网络激活可导致多发性硬化症患者疲劳减轻。
Mult Scler. 2018 Aug;24(9):1174-1182. doi: 10.1177/1352458517717087. Epub 2017 Jun 19.
7
The relationship between outcome prediction and cognitive fatigue: A convergence of paradigms.结果预测与认知疲劳之间的关系:范式的融合。
Cogn Affect Behav Neurosci. 2017 Aug;17(4):838-849. doi: 10.3758/s13415-017-0515-y.
8
Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity.功能连接性研究中用于控制运动伪影的参与者水平混杂回归策略的基准测试。
Neuroimage. 2017 Jul 1;154:174-187. doi: 10.1016/j.neuroimage.2017.03.020. Epub 2017 Mar 14.
9
Is fatigue associated with cognitive dysfunction in early Parkinson's disease?疲劳与早期帕金森病的认知功能障碍有关吗?
Parkinsonism Relat Disord. 2017 Apr;37:87-91. doi: 10.1016/j.parkreldis.2017.02.005. Epub 2017 Feb 7.
10
Cognitive Reserve in Healthy Aging and Alzheimer's Disease: A Meta-Analysis of fMRI Studies.健康衰老与阿尔茨海默病中的认知储备:功能磁共振成像研究的荟萃分析
Am J Alzheimers Dis Other Demen. 2016 Aug;31(5):443-9. doi: 10.1177/1533317516653826. Epub 2016 Jun 14.