• 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

噪声和非神经元因素对脑血流动力学信号的影响:动物研究的应用与见解

Noise and non-neuronal contributions to the BOLD signal: applications to and insights from animal studies.

作者信息

Keilholz Shella D, Pan Wen-Ju, Billings Jacob, Nezafati Maysam, Shakil Sadia

机构信息

Wallace H. Coulter Department of Biomedical Engineering, Emory University/Georgia Institute of Technology, Atlanta, GA, United States; Neuroscience Program, Emory University, Atlanta, GA, United States.

Wallace H. Coulter Department of Biomedical Engineering, Emory University/Georgia Institute of Technology, Atlanta, GA, United States.

出版信息

Neuroimage. 2017 Jul 1;154:267-281. doi: 10.1016/j.neuroimage.2016.12.019. Epub 2016 Dec 22.

DOI:10.1016/j.neuroimage.2016.12.019
PMID:28017922
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5481494/
Abstract

The BOLD signal reflects hemodynamic events within the brain, which in turn are driven by metabolic changes and neural activity. However, the link between BOLD changes and neural activity is indirect and can be influenced by a number of non-neuronal processes. Motion and physiological cycles have long been known to affect the BOLD signal and are present in both humans and animal models. Differences in physiological baseline can also contribute to intra- and inter-subject variability. The use of anesthesia, common in animal studies, alters neural activity, vascular tone, and neurovascular coupling. Most intriguing, perhaps, are the contributions from other processes that do not appear to be neural in origin but which may provide information about other aspects of neurophysiology. This review discusses different types of noise and non-neuronal contributors to the BOLD signal, sources of variability for animal studies, and insights to be gained from animal models.

摘要

血氧水平依赖(BOLD)信号反映大脑内的血流动力学事件,而这些事件反过来又由代谢变化和神经活动驱动。然而,BOLD变化与神经活动之间的联系是间接的,并且会受到许多非神经元过程的影响。长期以来,人们已知运动和生理周期会影响BOLD信号,并且在人类和动物模型中都存在。生理基线的差异也会导致个体内和个体间的变异性。在动物研究中常用的麻醉会改变神经活动、血管张力和神经血管耦合。也许最引人入胜的是其他并非源于神经但可能提供有关神经生理学其他方面信息的过程所起的作用。本综述讨论了BOLD信号的不同类型噪声和非神经元影响因素、动物研究中的变异性来源以及从动物模型中获得的见解。

相似文献

1
Noise and non-neuronal contributions to the BOLD signal: applications to and insights from animal studies.噪声和非神经元因素对脑血流动力学信号的影响:动物研究的应用与见解
Neuroimage. 2017 Jul 1;154:267-281. doi: 10.1016/j.neuroimage.2016.12.019. Epub 2016 Dec 22.
2
Methods for cleaning the BOLD fMRI signal.清洗BOLD功能磁共振成像信号的方法。
Neuroimage. 2017 Jul 1;154:128-149. doi: 10.1016/j.neuroimage.2016.12.018. Epub 2016 Dec 9.
3
An introduction to normalization and calibration methods in functional MRI.功能磁共振成像中的归一化和校准方法介绍。
Psychometrika. 2013 Apr;78(2):308-21. doi: 10.1007/s11336-012-9309-x. Epub 2012 Dec 29.
4
Physiologically informed dynamic causal modeling of fMRI data.功能磁共振成像数据的基于生理学信息的动态因果模型
Neuroimage. 2015 Nov 15;122:355-72. doi: 10.1016/j.neuroimage.2015.07.078. Epub 2015 Aug 5.
5
Linking brain vascular physiology to hemodynamic response in ultra-high field MRI.将大脑血管生理学与超高场 MRI 的血液动力学反应联系起来。
Neuroimage. 2018 Mar;168:279-295. doi: 10.1016/j.neuroimage.2017.02.063. Epub 2017 Feb 22.
6
Foundations of layer-specific fMRI and investigations of neurophysiological activity in the laminarized neocortex and olfactory bulb of animal models.层特异性功能磁共振成像基础及动物模型层状新皮层和嗅球神经生理活性研究。
Neuroimage. 2019 Oct 1;199:718-729. doi: 10.1016/j.neuroimage.2017.05.023. Epub 2017 May 12.
7
Physiological noise correction using ECG-derived respiratory signals for enhanced mapping of spontaneous neuronal activity with simultaneous EEG-fMRI.利用心电图衍生的呼吸信号进行生理噪声校正,以增强同时进行的 EEG-fMRI 自发性神经元活动的映射。
Neuroimage. 2017 Jul 1;154:115-127. doi: 10.1016/j.neuroimage.2016.08.008. Epub 2016 Aug 12.
8
Correspondence between fMRI and electrophysiology during visual motion processing in human MT.人类MT区视觉运动处理过程中功能磁共振成像与电生理学的对应关系。
Neuroimage. 2017 Jul 15;155:480-489. doi: 10.1016/j.neuroimage.2017.04.007. Epub 2017 Apr 5.
9
Anesthesia differentially modulates neuronal and vascular contributions to the BOLD signal.麻醉可使神经元和血管对 BOLD 信号的贡献产生差异。
Neuroimage. 2019 Jul 15;195:89-103. doi: 10.1016/j.neuroimage.2019.03.057. Epub 2019 Mar 28.
10
Simultaneous task-based BOLD-fMRI and [18-F] FDG functional PET for measurement of neuronal metabolism in the human visual cortex.基于任务的同时 BOLD-fMRI 和 [18-F] FDG 功能 PET 用于测量人类视觉皮层中的神经元代谢。
Neuroimage. 2019 Apr 1;189:258-266. doi: 10.1016/j.neuroimage.2019.01.003. Epub 2019 Jan 4.

引用本文的文献

1
Respiration recording for fMRI: breathing belt versus spine coil sensor.功能磁共振成像的呼吸记录:呼吸带与脊柱线圈传感器
Imaging Neurosci (Camb). 2024 Jul 24;2. doi: 10.1162/imag_a_00239. eCollection 2024.
2
Brain-wide functional connectivity artifactually inflates throughout functional magnetic resonance imaging scans.全脑功能连接在功能磁共振成像扫描中人为地膨胀。
Nat Hum Behav. 2024 Aug;8(8):1568-1580. doi: 10.1038/s41562-024-01908-6. Epub 2024 Jun 19.
3
The decoupling between hemodynamic parameters and neural activity implies a complex origin of spontaneous brain oscillations.血流动力学参数与神经活动之间的解耦意味着自发性脑振荡的起源复杂。
Front Comput Neurosci. 2023 Jul 31;17:1214793. doi: 10.3389/fncom.2023.1214793. eCollection 2023.
4
An orderly sequence of autonomic and neural events at transient arousal changes.自主神经和神经事件的有序序列在短暂觉醒变化时发生改变。
Neuroimage. 2022 Dec 1;264:119720. doi: 10.1016/j.neuroimage.2022.119720. Epub 2022 Nov 2.
5
Frequency-specific coactivation patterns in resting-state and their alterations in schizophrenia: An fMRI study.静息态下频率特异性的共激活模式及其在精神分裂症中的改变:一项 fMRI 研究。
Hum Brain Mapp. 2022 Aug 15;43(12):3792-3808. doi: 10.1002/hbm.25884. Epub 2022 Apr 27.
6
Connecting the dots between cell populations, whole-brain activity, and behavior.连接细胞群体、全脑活动和行为之间的关系。
Neurophotonics. 2022 Jul;9(3):032208. doi: 10.1117/1.NPh.9.3.032208. Epub 2022 Mar 26.
7
Seed-based dual regression: An illustration of the impact of dual regression's inherent filtering of global signal.基于种子的双回归:双回归对全局信号固有滤波影响的说明。
J Neurosci Methods. 2022 Jan 15;366:109410. doi: 10.1016/j.jneumeth.2021.109410. Epub 2021 Nov 16.
8
Contribution of animal models toward understanding resting state functional connectivity.动物模型对理解静息态功能连接的贡献。
Neuroimage. 2021 Dec 15;245:118630. doi: 10.1016/j.neuroimage.2021.118630. Epub 2021 Oct 10.
9
Resample aggregating improves the generalizability of connectome predictive modeling.重采样聚合提高了连接组预测建模的泛化能力。
Neuroimage. 2021 Aug 1;236:118044. doi: 10.1016/j.neuroimage.2021.118044. Epub 2021 Apr 10.
10
Age-related alterations in the cerebrovasculature affect neurovascular coupling and BOLD fMRI responses: Insights from animal models of aging.脑血管系统中与年龄相关的改变会影响神经血管耦合和血氧水平依赖性功能磁共振成像反应:来自衰老动物模型的见解。
Psychophysiology. 2021 Jul;58(7):e13718. doi: 10.1111/psyp.13718. Epub 2020 Nov 3.

本文引用的文献

1
Frontoparietal Functional Connectivity in the Common Marmoset.常见绒猴的额顶叶功能连接。
Cereb Cortex. 2017 Aug 1;27(8):3890-3905. doi: 10.1093/cercor/bhw198.
2
A novel anesthesia regime enables neurofunctional studies and imaging genetics across mouse strains.一种新型麻醉方案可实现对多种小鼠品系进行神经功能研究和成像遗传学研究。
Sci Rep. 2016 Apr 15;6:24523. doi: 10.1038/srep24523.
3
Functional Connectivity Hubs and Networks in the Awake Marmoset Brain.清醒狨猴大脑中的功能连接枢纽与网络
Front Integr Neurosci. 2016 Mar 4;10:9. doi: 10.3389/fnint.2016.00009. eCollection 2016.
4
Evaluation of sliding window correlation performance for characterizing dynamic functional connectivity and brain states.用于表征动态功能连接性和脑状态的滑动窗口相关性性能评估。
Neuroimage. 2016 Jun;133:111-128. doi: 10.1016/j.neuroimage.2016.02.074. Epub 2016 Mar 4.
5
Intrinsic connectivity of neural networks in the awake rabbit.清醒兔子神经网络的内在连接性
Neuroimage. 2016 Apr 1;129:260-267. doi: 10.1016/j.neuroimage.2016.01.010. Epub 2016 Jan 13.
6
Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?滑动窗口相关性能否揭示静息态功能磁共振成像中的动态功能连接性?
Neuroimage. 2016 Feb 15;127:242-256. doi: 10.1016/j.neuroimage.2015.11.055. Epub 2015 Nov 26.
7
Low frequency steady-state brain responses modulate large scale functional networks in a frequency-specific means.低频稳态脑反应以频率特异性方式调节大规模功能网络。
Hum Brain Mapp. 2016 Jan;37(1):381-94. doi: 10.1002/hbm.23037. Epub 2015 Oct 29.
8
Differences in the resting-state fMRI global signal amplitude between the eyes open and eyes closed states are related to changes in EEG vigilance.静息态功能磁共振成像全局信号幅度在睁眼和闭眼状态之间的差异与脑电图警觉性的变化有关。
Neuroimage. 2016 Jan 1;124(Pt A):24-31. doi: 10.1016/j.neuroimage.2015.08.053. Epub 2015 Aug 29.
9
Considerations for resting state functional MRI and functional connectivity studies in rodents.啮齿动物静息态功能磁共振成像和功能连接性研究的注意事项。
Front Neurosci. 2015 Aug 5;9:269. doi: 10.3389/fnins.2015.00269. eCollection 2015.
10
Mapping the mouse brain with rs-fMRI: An optimized pipeline for functional network identification.基于 rs-fMRI 的小鼠大脑图谱构建:功能网络识别的优化流程。
Neuroimage. 2015 Dec;123:11-21. doi: 10.1016/j.neuroimage.2015.07.090. Epub 2015 Aug 18.