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Causal relationships between frequency bands of extracellular signals in visual cortex revealed by an information theoretic analysis

机译:信息理论分析揭示视觉皮层细胞外信号频带之间的因果关系

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摘要

Characterizing how different cortical rhythms interact and how their interaction changes with sensory stimulation is important to gather insights into how these rhythms are generated and what sensory function they may play. Concepts from information theory, such as Transfer Entropy (TE), offer principled ways to quantify the amount of causation between different frequency bands of the signal recorded from extracellular electrodes; yet these techniques are hard to apply to real data. To address the above issues, in this study we develop a method to compute fast and reliably the amount of TE from experimental time series of extracellular potentials. The method consisted in adapting efficiently the calculation of TE to analog signals and in providing appropriate sampling bias corrections. We then used this method to quantify the strength and significance of causal interaction between frequency bands of field potentials and spikes recorded from primary visual cortex of anaesthetized macaques, both during spontaneous activity and during binocular presentation of naturalistic color movies. Causal interactions between different frequency bands were prominent when considering the signals at a fine (ms) temporal resolution, and happened with a very short (ms-scale) delay. The interactions were much less prominent and significant at coarser temporal resolutions. At high temporal resolution, we found strong bidirectional causal interactions between gamma-band (40–100 Hz) and slower field potentials when considering signals recorded within a distance of 2 mm. The interactions involving gamma bands signals were stronger during movie presentation than in absence of stimuli, suggesting a strong role of the gamma cycle in processing naturalistic stimuli. Moreover, the phase of gamma oscillations was playing a stronger role than their amplitude in increasing causations with slower field potentials and spikes during stimulation. The dominant direction of causality was mainly found in the direction from MUA or gamma frequency band signals to lower frequency signals, suggesting that hierarchical correlations between lower and higher frequency cortical rhythms are originated by the faster rhythms.>Electronic supplementary material The online version of this article (doi:10.1007/s10827-010-0236-5) contains supplementary material, which is available to authorized users.
机译:表征不同的皮层节律如何相互作用以及它们之间的相互作用如何随着感觉刺激而变化,对于收集关于这些节律如何产生以及它们可能发挥的感觉功能的见解至关重要。信息论中的概念,例如传递熵(TE),提供了原理性方法来量化从细胞外电极记录的信号的不同频带之间的因果关系;但是这些技术很难应用于真实数据。为了解决上述问题,在这项研究中,我们开发了一种从细胞外电位的实验时间序列快速可靠地计算TE量的方法。该方法包括使TE的计算有效地适应模拟信号,并提供适当的采样偏差校正。然后,我们在自然活动的彩色电影的自然活动和双目演示期间,使用了这种方法来量化场电位和麻醉猕猴的初级视觉皮层记录的峰值之间的因果相互作用的强度和重要性。当以精细(毫秒)的时间分辨率考虑信号时,不同频带之间的因果相互作用非常明显,并且发生时延非常短(毫秒尺度)。在较粗的时间分辨率下,这些交互作用不那么显着,而且意义重大。在高时间分辨率下,当考虑记录在2 mm距离内的信号时,我们发现在伽马波段(40–100 Hz)和较慢的场电势之间存在强烈的双向因果关系。在电影放映过程中,涉及伽玛带信号的相互作用要比没有刺激的情况更强,这表明伽玛循环在处理自然主义刺激中具有很强的作用。此外,伽马振荡的相位在增加因果关系时起着比其振幅更强的作用,并且在刺激过程中场电位和尖峰变慢。因果关系的主要方向主要出现在从MUA或伽马频带信号到低频信号的方向上,这表明低频和高频皮质节律之间的分层相关性是由较快的节奏引起的。>电子补充材料本文的在线版本(doi:10.1007 / s10827-010-0236-5)包含补充材料,授权用户可以使用。

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