Molecular fMRI of neurochemical signaling.

Molecular fMRI of neurochemical signaling.
复制标题

DOI:
10.1016/j.jneumeth.2021.109372
复制
发表时间:
2021-12-01
影响因子:
3
通讯作者:
Jasanoff A
Jasanoff A
中科院分区:
医学4区
文献类型:
--
作者:
Wei H;Frey AM;Jasanoff A

文献摘要

参考文献

被引文献

相似文献

磁共振成像(MRI)是用于人类和动物神经功能全脑测量的最广泛应用的技术。在常规功能性MRI(fMRI)中,通过局部血流、氧合和体积的局部活动依赖性变化间接检测脑信号,MRI造影剂可以容易地对这些变化敏感。虽然这种血流动力学功能磁共振成像方法是分析大脑活动的有力工具,但它们对在神经处理中发挥功能不同作用的许多分子和细胞类型缺乏特异性。一套统称为“分子功能磁共振成像”的技术通过允许基于MRI的检测脑深部组织中的特定分子过程来解决这一限制。这篇综述讨论了分子功能磁共振成像是如何被用于神经化学动力学的研究,介导在大脑中的细胞间通讯。神经化学分子功能磁共振成像是一种潜在的强大的方法,用于全脑功能的机制分析,但该技术仍处于早期发展阶段。在此,我们概述了迄今为止取得的主要进展和成果,以及进一步发展的方向。
Magnetic resonance imaging (MRI) is the most widely applied technique for brain-wide measurement of neural function in humans and animals. In conventional functional MRI (fMRI), brain signaling is detected indirectly, via localized activity-dependent changes in regional blood flow, oxygenation, and volume, to which MRI contrast can be readily sensitized. Although such hemodynamic fMRI methods are powerful tools for analysis of brain activity, they lack specificity for the many molecules and cell types that play functionally distinct roles in neural processing. A suite of techniques collectively known to as “molecular fMRI,” addresses this limitation by permitting MRI-based detection of specific molecular processes in deep brain tissue. This review discusses how molecular fMRI is coming to be used in the study of neurochemical dynamics that mediate intercellular communication in the brain. Neurochemical molecular fMRI is a potentially powerful approach for mechanistic analysis of brain-wide function, but the techniques are still in early stages of development. Here we provide an overview of the major advances and results that have been achieved to date, as well as directions for further development.
MR成像探针:设计和应用。
DOI: 10.1039/c4dt02958e
发表时间: 2015-03-21
期刊: Dalton transactions (Cambridge, England : 2003)
影响因子: --
作者:
Boros E;Gale EM;Caravan P
通讯作者: Caravan P
DOI: 10.1021/acssensors.0c00322
发表时间: 2020-06-26
期刊: ACS SENSORS
影响因子: 8.9
作者:
Barandov, Ali;Ghosh, Souparno;Jasanoff, Alan
通讯作者: Jasanoff, Alan
DOI: 10.1038/ncomms13607
发表时间: 2016-12-02
影响因子: 16.6
作者:
Desai, Mitul;Slusarczyk, Adrian L.;Chapin, Ashley;Barch, Mariya;Jasanoff, Alan
通讯作者: Jasanoff, Alan
DOI: 10.1002/mrm.26250
发表时间: 2017-04
影响因子: 3.3
作者:
Daryaei, Iman;Randtke, Edward A.;Pagel, Mark D.
通讯作者: Pagel, Mark D.
用于多巴胺和血清素的高选择性 p450 磁共振成像传感器的结构引导定向进化。
DOI: 10.1016/j.jmb.2012.05.029
发表时间: 2012-09-14
影响因子: 5.6
作者:
Brustad, Eric M.;Lelyveld, Victor S.;Snow, Christopher D.;Crook, Nathan;Jung, Sang Taek;Martinez, Francisco M.;Scholl, Timothy J.;Jasanoff, Alan;Arnold, Frances H.
通讯作者: Arnold, Frances H.