• 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

功能连接与局部脑血流的耦合揭示了人类大脑网络枢纽的生理基础。

Coupling of functional connectivity and regional cerebral blood flow reveals a physiological basis for network hubs of the human brain.

机构信息

Neuroimaging Research Branch, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD 21224, USA.

出版信息

Proc Natl Acad Sci U S A. 2013 Jan 29;110(5):1929-34. doi: 10.1073/pnas.1214900110. Epub 2013 Jan 14.

DOI:10.1073/pnas.1214900110
PMID:23319644
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3562840/
Abstract

Human brain functional networks contain a few densely connected hubs that play a vital role in transferring information across regions during resting and task states. However, the relationship of these functional hubs to measures of brain physiology, such as regional cerebral blood flow (rCBF), remains incompletely understood. Here, we used functional MRI data of blood-oxygenation-level-dependent and arterial-spin-labeling perfusion contrasts to investigate the relationship between functional connectivity strength (FCS) and rCBF during resting and an N-back working-memory task. During resting state, functional brain hubs with higher FCS were identified, primarily in the default-mode, insula, and visual regions. The FCS showed a striking spatial correlation with rCBF, and the correlation was stronger in the default-mode network (DMN; including medial frontal-parietal cortices) and executive control network (ECN; including lateral frontal-parietal cortices) compared with visual and sensorimotor networks. Moreover, the relationship was connection-distance dependent; i.e., rCBF correlated stronger with long-range hubs than short-range ones. It is notable that several DMN and ECN regions exhibited higher rCBF per unit connectivity strength (rCBF/FCS ratio); whereas, this index was lower in posterior visual areas. During the working-memory experiment, both FCS-rCBF coupling and rCBF/FCS ratio were modulated by task load in the ECN and/or DMN regions. Finally, task-induced changes of FCS and rCBF in the lateral-parietal lobe positively correlated with behavioral performance. Together, our results indicate a tight coupling between blood supply and brain functional topology during rest and its modulation in response to task demands, which may shed light on the physiological basis of human brain functional connectome.

摘要

人脑功能网络包含少数几个密集连接的枢纽,这些枢纽在静息和任务状态下在区域间传递信息方面起着至关重要的作用。然而,这些功能枢纽与大脑生理学的测量指标之间的关系,如局部脑血流(rCBF),仍然不完全清楚。在这里,我们使用血氧水平依赖功能磁共振成像数据和动脉自旋标记灌注对比来研究静息状态和 N 回工作记忆任务期间功能连接强度(FCS)与 rCBF 之间的关系。在静息状态下,确定了具有较高 FCS 的功能脑枢纽,主要位于默认模式、脑岛和视觉区域。FCS 与 rCBF 之间存在显著的空间相关性,并且在默认模式网络(DMN;包括内侧额顶叶皮层)和执行控制网络(ECN;包括外侧额顶叶皮层)中与视觉和感觉运动网络相比相关性更强。此外,这种关系与连接距离有关;即,rCBF 与长程枢纽的相关性比短程枢纽更强。值得注意的是,DMN 和 ECN 的几个区域表现出每单位连接强度更高的 rCBF(rCBF/FCS 比);然而,这个指数在后部视觉区域较低。在工作记忆实验中,FCS-rCBF 耦合和 rCBF/FCS 比在 ECN 和/或 DMN 区域都受到任务负荷的调节。最后,外侧顶叶叶的任务诱导的 FCS 和 rCBF 的变化与行为表现呈正相关。总之,我们的结果表明,在静息和响应任务需求的调节期间,血液供应和大脑功能拓扑之间存在紧密的耦合,这可能为人类大脑功能连接组学的生理基础提供了一些启示。

相似文献

1
Coupling of functional connectivity and regional cerebral blood flow reveals a physiological basis for network hubs of the human brain.功能连接与局部脑血流的耦合揭示了人类大脑网络枢纽的生理基础。
Proc Natl Acad Sci U S A. 2013 Jan 29;110(5):1929-34. doi: 10.1073/pnas.1214900110. Epub 2013 Jan 14.
2
Topologically Reorganized Connectivity Architecture of Default-Mode, Executive-Control, and Salience Networks across Working Memory Task Loads.跨工作记忆任务负荷的默认模式、执行控制和突显网络的拓扑重组连接架构
Cereb Cortex. 2016 Apr;26(4):1501-1511. doi: 10.1093/cercor/bhu316. Epub 2015 Jan 16.
3
Infant brain regional cerebral blood flow increases supporting emergence of the default-mode network.婴儿大脑区域脑血流增加,支持默认模式网络的出现。
Elife. 2023 Jan 24;12:e78397. doi: 10.7554/eLife.78397.
4
Regional excitation-inhibition balance predicts default-mode network deactivation via functional connectivity.区域兴奋-抑制平衡通过功能连接预测默认模式网络去激活。
Neuroimage. 2019 Jan 15;185:388-397. doi: 10.1016/j.neuroimage.2018.10.055. Epub 2018 Oct 22.
5
Specialization in the default mode: Task-induced brain deactivations dissociate between visual working memory and attention.默认模式专业化:任务诱导的大脑去激活区分视觉工作记忆和注意力。
Hum Brain Mapp. 2010 Jan;31(1):126-39. doi: 10.1002/hbm.20850.
6
Brain connectivity during resting state and subsequent working memory task predicts behavioural performance.静息状态和随后的工作记忆任务期间的大脑连通性可预测行为表现。
Cortex. 2012 Oct;48(9):1187-96. doi: 10.1016/j.cortex.2011.07.006. Epub 2011 Aug 5.
7
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.
8
Cerebral blood flow in posterior cortical nodes of the default mode network decreases with task engagement but remains higher than in most brain regions.默认模式网络的后皮质节点的脑血流随着任务参与而减少,但仍高于大多数脑区。
Cereb Cortex. 2011 Jan;21(1):233-44. doi: 10.1093/cercor/bhq090. Epub 2010 May 19.
9
The resting-state cerebro-cerebellar function connectivity and associations with verbal working memory performance.静息态脑-小脑功能连接与言语工作记忆表现的关联。
Behav Brain Res. 2022 Jan 24;417:113586. doi: 10.1016/j.bbr.2021.113586. Epub 2021 Sep 15.
10
Default mode network scaffolds immature frontoparietal network in cognitive development.默认模式网络为认知发育中不成熟的额顶网络提供了支架。
Cereb Cortex. 2023 Apr 25;33(9):5251-5263. doi: 10.1093/cercor/bhac414.

引用本文的文献

1
Disrupted neurovascular coupling in patients with lung cancer after chemotherapy.化疗后肺癌患者神经血管耦合受损。
Quant Imaging Med Surg. 2025 Sep 1;15(9):7820-7832. doi: 10.21037/qims-24-1321. Epub 2025 Aug 15.
2
The neural signature of high myopia: structural and functional brain alterations and their cognitive-emotional associations.高度近视的神经特征:大脑结构和功能改变及其认知-情感关联。
Front Cell Dev Biol. 2025 Aug 5;13:1634553. doi: 10.3389/fcell.2025.1634553. eCollection 2025.
3
Distance- and Hierarchy-Dependent Functional Dysconnectivity in Schizophrenia and Its Association with Cortical Microstructure.精神分裂症中距离和层级依赖的功能失调连接及其与皮质微结构的关联
medRxiv. 2025 Jul 28:2025.07.28.25332321. doi: 10.1101/2025.07.28.25332321.
4
Mapping cerebral blood perfusion and its links to multi-scale brain organization across the human lifespan.绘制全人类生命周期内的脑血流灌注及其与多尺度脑组织的联系。
PLoS Biol. 2025 Jul 29;23(7):e3003277. doi: 10.1371/journal.pbio.3003277. eCollection 2025 Jul.
5
Altered coupling of cerebral blood perfusion and neuronal activity in children with MRI-negative drug refractory epilepsy.MRI检查阴性的药物难治性癫痫患儿脑血流灌注与神经元活动的耦合改变。
Quant Imaging Med Surg. 2025 Jul 1;15(7):6501-6516. doi: 10.21037/qims-2024-2756. Epub 2025 Jun 30.
6
Dynamic Synergy Network Analysis Reveals Stage-Specific Regional Dysfunction in Alzheimer's Disease.动态协同网络分析揭示阿尔茨海默病特定阶段的区域功能障碍
Brain Sci. 2025 Jun 12;15(6):636. doi: 10.3390/brainsci15060636.
7
Unveiling functional-metabolic synergy in the healthy brain: multivariate integration of dynamic [F]FDG-PET and resting-state fMRI.揭示健康大脑中的功能-代谢协同作用:动态[F]FDG-PET与静息态fMRI的多变量整合
bioRxiv. 2025 May 27:2025.05.21.655345. doi: 10.1101/2025.05.21.655345.
8
Co-Community Network Analysis Reveals Alterations in Brain Networks in Alzheimer's Disease.共同社区网络分析揭示阿尔茨海默病患者脑网络的改变。
Brain Sci. 2025 May 18;15(5):517. doi: 10.3390/brainsci15050517.
9
Cortical functional connectivity and topology based on complex network graph theory analysis during acute pain stimuli.基于复杂网络图论分析的急性疼痛刺激期间的皮质功能连接性和拓扑结构
Neurophotonics. 2025 Apr;12(2):025010. doi: 10.1117/1.NPh.12.2.025010. Epub 2025 May 14.
10
Frequency-band specific directed connectivity networks reveal functional disruptions and pathogenic patterns in temporal lobe epilepsy: a MEG study.特定频段定向连接网络揭示颞叶癫痫的功能破坏和致病模式:一项脑磁图研究
Sci Rep. 2025 Apr 10;15(1):12326. doi: 10.1038/s41598-025-90299-3.

本文引用的文献

1
Disrupted functional brain connectome in individuals at risk for Alzheimer's disease.阿尔茨海默病高危个体的功能脑连接组紊乱。
Biol Psychiatry. 2013 Mar 1;73(5):472-81. doi: 10.1016/j.biopsych.2012.03.026. Epub 2012 Apr 25.
2
The economy of brain network organization.大脑网络组织的经济学。
Nat Rev Neurosci. 2012 Apr 13;13(5):336-49. doi: 10.1038/nrn3214.
3
Network centrality in the human functional connectome.人类功能连接组中的网络中心性。
Cereb Cortex. 2012 Aug;22(8):1862-75. doi: 10.1093/cercor/bhr269. Epub 2011 Oct 2.
4
Global functional connectivity deficits in schizophrenia depend on behavioral state.精神分裂症的全球功能连接缺陷取决于行为状态。
J Neurosci. 2011 Sep 7;31(36):12972-81. doi: 10.1523/JNEUROSCI.2987-11.2011.
5
Cognitive effort drives workspace configuration of human brain functional networks.认知努力驱动人类大脑功能网络的工作空间配置。
J Neurosci. 2011 Jun 1;31(22):8259-70. doi: 10.1523/JNEUROSCI.0440-11.2011.
6
Amyloid by default.默认情况下为淀粉样蛋白。
Nat Neurosci. 2011 Jun;14(6):669-70. doi: 10.1038/nn.2853.
7
Quantifying the link between anatomical connectivity, gray matter volume and regional cerebral blood flow: an integrative MRI study.定量分析解剖连接、灰质体积和局部脑血流之间的关系:一项综合 MRI 研究。
PLoS One. 2011 Apr 15;6(4):e14801. doi: 10.1371/journal.pone.0014801.
8
Neuronal dysfunction and disconnection of cortical hubs in non-demented subjects with elevated amyloid burden.非痴呆的淀粉样蛋白负荷升高患者中皮质中枢的神经元功能障碍和连接中断。
Brain. 2011 Jun;134(Pt 6):1635-46. doi: 10.1093/brain/awr066. Epub 2011 Apr 13.
9
Regional aerobic glycolysis in the human brain.人脑的区域有氧糖酵解。
Proc Natl Acad Sci U S A. 2010 Oct 12;107(41):17757-62. doi: 10.1073/pnas.1010459107. Epub 2010 Sep 13.
10
Graph theoretical modeling of brain connectivity.脑连接的图论建模。
Curr Opin Neurol. 2010 Aug;23(4):341-50. doi: 10.1097/WCO.0b013e32833aa567.