Suppr超能文献

解读血氧水平依赖信号:迈向认知神经科学与细胞神经科学之间的对话

Interpreting BOLD: towards a dialogue between cognitive and cellular neuroscience.

作者信息

Hall Catherine N, Howarth Clare, Kurth-Nelson Zebulun, Mishra Anusha

机构信息

School of Psychology, University of Sussex, Brighton, UK

Department of Psychology, University of Sheffield, Sheffield, UK

出版信息

Philos Trans R Soc Lond B Biol Sci. 2016 Oct 5;371(1705). doi: 10.1098/rstb.2015.0348.

Abstract

Cognitive neuroscience depends on the use of blood oxygenation level-dependent (BOLD) functional magnetic resonance imaging (fMRI) to probe brain function. Although commonly used as a surrogate measure of neuronal activity, BOLD signals actually reflect changes in brain blood oxygenation. Understanding the mechanisms linking neuronal activity to vascular perfusion is, therefore, critical in interpreting BOLD. Advances in cellular neuroscience demonstrating differences in this neurovascular relationship in different brain regions, conditions or pathologies are often not accounted for when interpreting BOLD. Meanwhile, within cognitive neuroscience, the increasing use of high magnetic field strengths and the development of model-based tasks and analyses have broadened the capability of BOLD signals to inform us about the underlying neuronal activity, but these methods are less well understood by cellular neuroscientists. In 2016, a Royal Society Theo Murphy Meeting brought scientists from the two communities together to discuss these issues. Here, we consolidate the main conclusions arising from that meeting. We discuss areas of consensus about what BOLD fMRI can tell us about underlying neuronal activity, and how advanced modelling techniques have improved our ability to use and interpret BOLD. We also highlight areas of controversy in understanding BOLD and suggest research directions required to resolve these issues.This article is part of the themed issue 'Interpreting BOLD: a dialogue between cognitive and cellular neuroscience'.

摘要

认知神经科学依赖于使用血氧水平依赖(BOLD)功能磁共振成像(fMRI)来探究脑功能。尽管BOLD信号通常被用作神经元活动的替代指标,但实际上它反映的是脑血氧合的变化。因此,理解将神经元活动与血管灌注联系起来的机制对于解释BOLD信号至关重要。细胞神经科学的进展表明,在不同脑区、状况或病理情况下,这种神经血管关系存在差异,但在解释BOLD信号时,这些差异常常未被考虑在内。与此同时,在认知神经科学领域,高磁场强度的日益使用以及基于模型的任务和分析的发展,拓宽了BOLD信号让我们了解潜在神经元活动的能力,但细胞神经科学家对这些方法的了解较少。2016年,皇家学会西奥·墨菲会议将来自这两个领域的科学家聚集在一起讨论这些问题。在此,我们总结了那次会议得出的主要结论。我们讨论了关于BOLD功能磁共振成像能告诉我们哪些关于潜在神经元活动的共识领域,以及先进的建模技术如何提高了我们使用和解释BOLD信号的能力。我们还强调了在理解BOLD信号方面存在争议的领域,并提出了解决这些问题所需的研究方向。本文是主题为“解释BOLD:认知神经科学与细胞神经科学之间的对话”这一特刊的一部分。

相似文献

3
Functional magnetic resonance imaging in chronic ischaemic stroke.慢性缺血性卒中的功能磁共振成像
Philos Trans R Soc Lond B Biol Sci. 2016 Oct 5;371(1705). doi: 10.1098/rstb.2015.0353.
8
Separating vascular and neuronal effects of age on fMRI BOLD signals.区分年龄对功能磁共振成像血氧水平依赖信号的血管和神经影响。
Philos Trans R Soc Lond B Biol Sci. 2021 Jan 4;376(1815):20190631. doi: 10.1098/rstb.2019.0631. Epub 2020 Nov 16.
9
Interpreting the BOLD signal.解读血氧水平依赖(BOLD)信号。
Annu Rev Physiol. 2004;66:735-69. doi: 10.1146/annurev.physiol.66.082602.092845.
10
Quantitative functional MRI: concepts, issues and future challenges.定量功能磁共振成像:概念、问题及未来挑战。
Neuroimage. 2012 Aug 15;62(2):1234-40. doi: 10.1016/j.neuroimage.2011.10.046. Epub 2011 Oct 20.

引用本文的文献

本文引用的文献

1
Inferring brain-computational mechanisms with models of activity measurements.利用活动测量模型推断脑计算机制。
Philos Trans R Soc Lond B Biol Sci. 2016 Oct 5;371(1705). doi: 10.1098/rstb.2016.0278.
7
Neural-metabolic coupling in the central visual pathway.中枢视觉通路中的神经-代谢耦合。
Philos Trans R Soc Lond B Biol Sci. 2016 Oct 5;371(1705). doi: 10.1098/rstb.2015.0357.
10
Functional magnetic resonance imaging in chronic ischaemic stroke.慢性缺血性卒中的功能磁共振成像
Philos Trans R Soc Lond B Biol Sci. 2016 Oct 5;371(1705). doi: 10.1098/rstb.2015.0353.

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