Flow detection of propagating waves with temporospatial correlation of activity.

Flow detection of propagating waves with temporospatial correlation of activity.
复制标题

与活动的暂时空间相关性的传播波的流动检测。

DOI:
10.1016/j.jneumeth.2011.05.023
复制
发表时间:
2011-09-15
影响因子:
3
通讯作者:
Ohl, Frank W.
Ohl, Frank W.
中科院分区:
医学4区
文献类型:
--
作者:
Takagaki, Kentaroh;Zhang, Chuan;Wu, Jian-Young;Ohl, Frank W.

文献摘要

参考文献

被引文献

相似文献

电压敏感染料成像(VSDI)可以以高时间分辨率记录大脑皮质活动的群体模式,最近的发现将其潜在的意义归因于它们的空间传播模式-无论是对于正常的皮质处理还是在癫痫等病理学中。然而,到目前为止,对这些时空模式的分析大多是定性的。在这份报告中,我们描述了一种算法,用VSDI测量来量化皮质群体激活的快速局部血流模式。该算法使用时间特征在空间上的相关性,因此不同于传统的光流算法,后者使用空间特征随时间的相关性。这种替代方法使我们能够利用快速光学成像数据的特点,这些数据具有非常高的时间分辨率但较低的空间分辨率。我们在人工数据和生物数据上验证了该方法,并展示了它的应用。
Voltage-sensitive dye imaging (VSDI) allows population patterns of cortical activity to be recorded with high temporal resolution, and recent findings ascribe potential significance to their spatial propagation patterns—both for normal cortical processing and in pathologies such as epilepsy. However, analysis of these spatiotemporal patterns has been mostly qualitative to date. In this report, we describe an algorithm to quantify fast local flow patterns of cortical population activation, as measured with VSDI. The algorithm uses correlation of temporal features across space, and therefore differs from conventional optical flow algorithms which use correlation of spatial features over time. This alternative approach allows us to take advantage of the characteristics of fast optical imaging data, which have very high temporal resolution but less spatial resolution. We verify the method both on artificial and biological data, and demonstrate its use.
DOI: 10.1016/j.neuron.2008.08.026
发表时间: 2008-10-23
期刊: NEURON
影响因子: 16.2
作者:
Han, Feng;Caporale, Natalia;Dan, Yang
通讯作者: Dan, Yang
DOI: 10.1038/nature02078
发表时间: 2003-10-30
期刊: NATURE
影响因子: 64.8
作者:
Kenet, T;Bibitchkov, D;Arieli, A
通讯作者: Arieli, A
DOI: 10.1007/978-1-4419-6558-5_7
发表时间: 2010-01-01
期刊: MEMBRANE POTENTIAL IMAGING IN THE NERVOUS SYSTEMS: METHODS AND APPLICATIONS
影响因子: --
作者:
Huang, Xiaoying;Xu, Weifeng;Wu, Jian-Young
通讯作者: Wu, Jian-Young
DOI: 10.1152/jn.00645.2006
发表时间: 2006-11-01
影响因子: 2.5
作者:
Bai, Li;Huang, Xiaoying;Wu, Jian-Young
通讯作者: Wu, Jian-Young
DOI: 10.1523/jneurosci.2053-09.2009
发表时间: 2009-08-26
影响因子: 5.3
作者:
Curto, Carina;Sakata, Shuzo;Harris, Kenneth D.
通讯作者: Harris, Kenneth D.