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利用小鼠光学成像理解人类功能磁共振成像中的静息态功能连接

Mouse optical imaging for understanding resting-state functional connectivity in human fMRI.

作者信息

Matsui Teppei, Murakami Tomonari, Ohki Kenichi

机构信息

Department of Physiology, The University of Tokyo School of Medicine, Tokyo, Japan.

International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo, Tokyo, Japan.

出版信息

Commun Integr Biol. 2018 Oct 21;11(4):e1528821. doi: 10.1080/19420889.2018.1528821. eCollection 2018.

Abstract

Resting-state functional connectivity (FC), which measures the temporal correlation of spontaneous hemodynamic activity between distant brain areas, is a widely accepted method in functional magnetic resonance imaging (fMRI) to assess the connectome of healthy and diseased human brains. A common assumption underlying FC is that it reflects the temporal structure of large-scale neuronal activity that is converted into large-scale hemodynamic activity. However, direct observation of such relationship has been difficult. In this commentary, we describe our recent progress regarding this topic. Recently, transgenic mice that express a genetically encoded calcium indicator (GCaMP) in neocortical neurons are enabling the optical recording of neuronal activity in large-scale with high spatiotemporal resolution. Using these mice, we devised a method to simultaneously monitor neuronal and hemodynamic activity and addressed some key issues related to the neuronal basis of FC. We propose that many important questions about human resting-state fMRI can be answered using GCaMP expressing transgenic mice as a model system.

摘要

静息态功能连接(FC)用于测量远距离脑区之间自发血液动力学活动的时间相关性,是功能磁共振成像(fMRI)中广泛接受的一种评估健康和患病人类大脑连接组的方法。FC背后的一个常见假设是,它反映了转化为大规模血液动力学活动的大规模神经元活动的时间结构。然而,直接观察这种关系一直很困难。在这篇评论中,我们描述了我们在这个主题上的最新进展。最近,在新皮层神经元中表达基因编码钙指示剂(GCaMP)的转基因小鼠能够以高时空分辨率对大规模神经元活动进行光学记录。利用这些小鼠,我们设计了一种同时监测神经元和血液动力学活动的方法,并解决了一些与FC的神经元基础相关的关键问题。我们建议,使用表达GCaMP的转基因小鼠作为模型系统,可以回答许多关于人类静息态fMRI的重要问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2537/6284571/32843598c53f/kcib-11-04-1528821-g001.jpg

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