A procedure for testing across-condition rhythmic spike-field association change.

A procedure for testing across-condition rhythmic spike-field association change.
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DOI:
10.1016/j.jneumeth.2012.10.010
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发表时间:
2013-02-15
影响因子:
3
通讯作者:
Desimone, Robert
Desimone, Robert
中科院分区:
医学4区
文献类型:
--
作者:
Lepage, Kyle Q.;Gregoriou, Georgia G.;Kramer, Mark A.;Aoi, Mikio;Gotts, Stephen J.;Eden, Uri T.;Desimone, Robert

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神经科学中的许多实验都比较了神经锋电位序列与局部场电位(LFP)记录中存在的节律之间的关联强度。在这些比较中采用的措施,“尖峰场的一致性”,是一个依赖于频率的线性关联的措施,并示出依赖于整体的神经活动。依赖于整体神经活动,即依赖于尖峰的总数,使得在实验背景下比较尖峰场的一致性变得困难。在本文中,一个推理过程的基础上,广义线性模型是能够分离的整体神经活动的影响,从穗火车LFP振荡耦合。这种分离提供了一种方法来比较独立于尖峰计数差异的尖峰串-LFP对之间的振荡关联的强度。在回顾了点过程神经活动的广义线性模型框架之后,介绍了一类特定的广义线性模型。该模型类,使用分段常数连接函数,或指数函数,将LFP节律与神经反应相关,用于开发能够检测尖峰训练LFP振荡耦合变化的假设检验。这些测试的性能进行了验证,无论是在模拟和真实的数据。所提出的推理方法提供了一个原则性的统计过程,通过该过程可以直接推断出在尖峰训练LFP节奏关联中的跨上下文变化,该过程明确地处理总尖峰计数中的条件间差异。
Many experiments in neuroscience have compared the strength of association between neural spike trains and rhythms present in local field potential (LFP) recordings. The measure employed in these comparisons, “spike-field coherence”, is a frequency dependent measure of linear association, and is shown to depend on overall neural activity. Dependence upon overall neural activity, that is, dependence upon the total number of spikes, renders comparison of spike-field coherence across experimental context difficult. In this paper, an inferential procedure based upon a generalized linear model is shown to be capable of separating the effects of overall neural activity from spike train-LFP oscillatory coupling. This separation provides a means to compare the strength of oscillatory association between spike train-LFP pairs independent of differences in spike counts. Following a review of the generalized linear modelling framework of point process neural activity a specific class of generalized linear models are introduced. This model class, using either a piece-wise constant link function, or an exponential function to relate an LFP rhythm to neural response, is used to develop hypothesis tests capable of detecting changes in spike train-LFP oscillatory coupling. The performance of these tests is validated, both in simulation and on real data. The proposed method of inference provides a principled statistical procedure by which across-context change in spike train-LFP rhythmic association can be directly inferred that explicitly handles between-condition differences in total spike count.
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发表时间: 2009-05-29
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