Cross-correlation of instantaneous amplitudes of field potential oscillations: a straightforward method to estimate the directionality and lag between brain areas.
Cross-correlation of instantaneous amplitudes of field potential oscillations: a straightforward method to estimate the directionality and lag between brain areas.
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DOI：
10.1016/j.jneumeth.2010.06.019
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发表时间：
2010-08-30
影响因子：
3
通讯作者：
Gordon, Joshua A.
中科院分区：
文献类型：
--
作者：
Adhikari, Avishek;Sigurdsson, Torfi;Topiwala, Mihir A.;Gordon, Joshua A.
关键词：
进行多位点记录的研究人员通常对识别功能连接的方向性和估计位点之间的滞后感兴趣。用于确定方向性的当前技术需要尖峰序列或涉及多变量自回归建模。然而，通常难以同时从多个区域采样大量尖峰，并且建模可能对噪声敏感。一个简单的，独立于模型的方法来估计方向性和滞后使用本地场电位（LFP）将是普遍的兴趣。在这里，我们描述了这样一种方法，使用滤波的LFP的瞬时幅度的互相关。该方法包括四个步骤。首先，对LFP进行带通滤波;其次，计算滤波信号的瞬时幅度;第三，对这些幅度进行互相关，并确定出现互相关峰值的滞后;第四，测试所获得的滞后分布，以确定其是否不同于零。这种方法适用于清醒行为小鼠的腹侧海马和内侧前额叶皮层记录的LFPs。结果表明，海马导致mPFC，与相同数据集中从mPFC尖峰的锁相到vHPC LFP振荡计算的时滞非常一致。我们还比较了幅度互相关方法，部分定向相干，一种常用的多元自回归模型相关的方法，并发现前者是更强大的噪声的影响。这些数据表明，互相关的瞬时振幅的过滤LFPs是一种有效的方法来研究跨大脑区域的信息流的方向。
Researchers performing multi-site recordings are often interested in identifying the directionality of functional connectivity and estimating lags between sites. Current techniques for determining directionality require spike trains or involve multivariate autoregressive modeling. However, it is often difficult to sample large numbers of spikes from multiple areas simultaneously, and modeling can be sensitive to noise. A simple, model-independent method to estimate directionality and lag using local field potentials (LFPs) would be of general interest. Here we describe such a method using the cross-correlation of the instantaneous amplitudes of filtered LFPs. The method involves four steps. First, LFPs are band-pass filtered; second, the instantaneous amplitude of the filtered signals is calculated; third, these amplitudes are cross-correlated and the lag at which the cross-correlation peak occurs is determined; fourth, the distribution of lags obtained is tested to determine if it differs from zero. This method was applied to LFPs recorded from the ventral hippocampus and the medial prefrontal cortex in awake behaving mice. The results demonstrate that the hippocampus leads the mPFC, in good agreement with the time lag calculated from the phase locking of mPFC spikes to vHPC LFP oscillations in the same dataset. We also compare the amplitude cross-correlation method to partial directed coherence, a commonly used multivariate autoregressive model-dependent method, and find that the former is more robust to the effects of noise. These data suggest that the cross-correlation of instantaneous amplitude of filtered LFPs is a valid method to study the direction of flow of information across brain areas.
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DOI：
10.1126/science.1171402
发表时间：
2009-05-29
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Gregoriou GG;Gotts SJ;Zhou H;Desimone R
通讯作者：
Desimone R
影响因子：
4.4
作者：
Winterhalder, M;Schelter, B;Witte, H
通讯作者：
Witte, H
影响因子：
25
作者：
Alonso, JM;Martinez, LM
通讯作者：
Martinez, LM
DOI：
10.1073/pnas.0913016107
发表时间：
2010-04-06
影响因子：
11.1
作者：
Popa, Daniela;Duvarci, Sevil;Pare, Denis
通讯作者：
Pare, Denis
影响因子：
4.6
作者：
Astolfi, Laura;Cincotti, Febo;Babiloni, Fabio
通讯作者：
Babiloni, Fabio