神經(jīng)元鋒電位與場(chǎng)電位之間鎖相性分析的新方法及其應(yīng)用
發(fā)布時(shí)間：2018-10-29 20:05
【摘要】：神經(jīng)元?jiǎng)幼麟娢?鋒電位)的發(fā)放與局部場(chǎng)電位(local field potentials,LFP)節(jié)律之間的鎖相關(guān)系反映了神經(jīng)元參與大腦某種活動(dòng)的信息,具有神經(jīng)編碼的特性。研究這種鎖相關(guān)系時(shí),目前常用的方法是區(qū)間統(tǒng)計(jì)法(簡(jiǎn)稱Bin法)。它可以定性判斷鎖相性是否存在,但不能定量區(qū)別各種鎖相性的強(qiáng)弱。此外,Bin法還存在多種缺陷,例如需要將場(chǎng)電位人為分割成窄頻帶信號(hào),這有可能破壞場(chǎng)電位原本包含的重要信息；計(jì)算效率較低,在分析多種不同節(jié)律時(shí)需要重復(fù)計(jì)算；以相位分區(qū)的方式統(tǒng)計(jì)落在每個(gè)區(qū)間上的鋒電位個(gè)數(shù)時(shí),設(shè)定的相位區(qū)間大小也會(huì)直接影響計(jì)算結(jié)果。 為了彌補(bǔ)Bin法的不足之處,本文利用鋒電位觸發(fā)的疊加平均信號(hào)(spike-triggered average,STA)提出了一種判斷鎖相性的新方法。將原始信號(hào)經(jīng)疊加平均計(jì)算得到的信號(hào)(即STA波)與原始場(chǎng)電位信號(hào)的功率百分比作為定量指標(biāo),來(lái)評(píng)價(jià)鋒電位與場(chǎng)電位節(jié)律之間鎖相性的強(qiáng)弱。本文分析了麻醉大鼠海馬CA1區(qū)的大量實(shí)驗(yàn)數(shù)據(jù),發(fā)現(xiàn)該功率百分比的值與鎖相性強(qiáng)弱之間存在單調(diào)關(guān)系。為了進(jìn)一步考察該指標(biāo)與鎖相性強(qiáng)弱的關(guān)系,本文利用仿真數(shù)據(jù)研究,結(jié)果表明,該指標(biāo)能夠提供有效的界值來(lái)區(qū)分鋒電位與某場(chǎng)電位節(jié)律是否鎖相,并且它的值越大,鎖相關(guān)系就越強(qiáng)。 在確定鎖相的神經(jīng)元后,還可利用STA波直接計(jì)算鎖相神經(jīng)元鋒電位在場(chǎng)電位上發(fā)放的相位平均角。本文利用16通道微電極陣列記錄海馬CA1區(qū)不同分層上的場(chǎng)電位,應(yīng)用STA法分析了CA1區(qū)神經(jīng)元鋒電位發(fā)放與頂樹突層、胞體層和基樹突層上場(chǎng)電位的θ節(jié)律和γ節(jié)律之間的關(guān)系,發(fā)現(xiàn)鋒電位在不同神經(jīng)組織結(jié)構(gòu)分層的不同場(chǎng)電位節(jié)律上發(fā)放的相位角是不同的。 在計(jì)算鋒電位發(fā)放相位平均角時(shí),本文提出的STA法與Bin法相比具有顯著的高效性。STA波經(jīng)任意所需頻段的單次濾波后就可以得到鋒電位在場(chǎng)電位某特定節(jié)律上發(fā)放的相位平均角,無(wú)需重復(fù)進(jìn)行疊加平均計(jì)算。而Bin法卻需要分別統(tǒng)計(jì)每個(gè)鋒電位在所需的場(chǎng)電位某特定節(jié)律波上發(fā)放的相位分布,再經(jīng)圓周統(tǒng)計(jì)法計(jì)算相位平均角。因此,STA法具有較高的計(jì)算效率。 綜上所述,本文提出了分析神經(jīng)元鋒電位發(fā)放與場(chǎng)電位節(jié)律之間關(guān)系的STA法,并利用STA波設(shè)計(jì)了計(jì)算鋒電位與場(chǎng)電位節(jié)律鎖相性強(qiáng)弱的定量參數(shù),避免了Bin法中事先濾波和人為設(shè)定場(chǎng)電位頻率對(duì)分析結(jié)果的影響。這種STA法對(duì)于大腦神經(jīng)信息編碼機(jī)制的研究具有重要意義。
[Abstract]:The phase-locked relationship between the release of action potential (spike) and the rhythm of local field potential (local field potentials,LFP) reflects the information that neurons participate in some activities of the brain and possess the characteristics of neural coding. At present, interval statistics (Bin method) is commonly used to study the phase locked relation. It can qualitatively judge whether the phase locking exists or not, but it can not quantitatively distinguish the strength of various phase-locking properties. In addition, the Bin method also has many defects, such as the need to artificially divide the field potential into narrow band signals, which may destroy the important information originally contained in the field potential, and the calculation efficiency is low, so it is necessary to repeat calculation when analyzing many different rhythms. When the number of spikes falling on each interval is counted by phase partitioning, the size of the set phase range will also directly affect the calculation results. In order to make up for the deficiency of Bin method, a new method to judge the phase locking property is proposed by using the superposition average signal (spike-triggered average,STA) triggered by the spike potential. The power percentage of the original signal (i.e. STA wave) and the original field potential signal is used as a quantitative index to evaluate the phase locking between the spike potential and the field potential rhythm. A large number of experimental data of the hippocampal CA1 region in anesthetized rats were analyzed. It was found that there was a monotone relationship between the power percentage and the strength of phase locking. In order to further investigate the relationship between this index and the strength of phase locking, the simulation data are used in this paper. The results show that the index can provide effective bounds to distinguish whether the rhythm of spike potential and a field potential is phase-locked or not, and the larger the value is, the greater the value is. The stronger the phase locking relationship is. After determining the lock-in neurons, the phase mean angle on the field potential of the lock-in neuron can be directly calculated by using the STA wave. In this paper, the field potentials on different layers of hippocampal CA1 region were recorded by a 16-channel microelectrode array. The relationship between the spike discharge of neurons in the CA1 area and the 胃 rhythm and 緯 rhythm of the parietal dendritic layer, the somatic layer and the basal dendritic layer was analyzed by STA method. It is found that the phase angle of spike distribution is different in different field potential rhythms of different neural tissue structures. In calculating the mean angle of the phase of the spike, The STA method proposed in this paper is more efficient than the Bin method. After a single filtering of the STA wave in any required frequency band, the phase mean angle on a specific rhythm of the potential field potential can be obtained, and the superposition average calculation is not necessary. However, the Bin method needs to calculate the phase distribution of each spike on a specific rhythmic wave of the required field potential, and then calculate the phase mean angle by circumferential statistics. Therefore, STA method has high computational efficiency. To sum up, a STA method is proposed to analyze the relationship between spike potential release and field potential rhythm, and the quantitative parameters are designed by using STA wave to calculate the strong and weak phase locking characteristics of the spike potential and field potential rhythm. The effect of pre-filtering and artificially setting field potential frequency on the analysis results is avoided in Bin method. This STA method is of great significance for the study of neural information coding mechanism.
【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：TN911.7;R338.1
本文編號(hào)：2298674
[Abstract]:The phase-locked relationship between the release of action potential (spike) and the rhythm of local field potential (local field potentials,LFP) reflects the information that neurons participate in some activities of the brain and possess the characteristics of neural coding. At present, interval statistics (Bin method) is commonly used to study the phase locked relation. It can qualitatively judge whether the phase locking exists or not, but it can not quantitatively distinguish the strength of various phase-locking properties. In addition, the Bin method also has many defects, such as the need to artificially divide the field potential into narrow band signals, which may destroy the important information originally contained in the field potential, and the calculation efficiency is low, so it is necessary to repeat calculation when analyzing many different rhythms. When the number of spikes falling on each interval is counted by phase partitioning, the size of the set phase range will also directly affect the calculation results. In order to make up for the deficiency of Bin method, a new method to judge the phase locking property is proposed by using the superposition average signal (spike-triggered average,STA) triggered by the spike potential. The power percentage of the original signal (i.e. STA wave) and the original field potential signal is used as a quantitative index to evaluate the phase locking between the spike potential and the field potential rhythm. A large number of experimental data of the hippocampal CA1 region in anesthetized rats were analyzed. It was found that there was a monotone relationship between the power percentage and the strength of phase locking. In order to further investigate the relationship between this index and the strength of phase locking, the simulation data are used in this paper. The results show that the index can provide effective bounds to distinguish whether the rhythm of spike potential and a field potential is phase-locked or not, and the larger the value is, the greater the value is. The stronger the phase locking relationship is. After determining the lock-in neurons, the phase mean angle on the field potential of the lock-in neuron can be directly calculated by using the STA wave. In this paper, the field potentials on different layers of hippocampal CA1 region were recorded by a 16-channel microelectrode array. The relationship between the spike discharge of neurons in the CA1 area and the 胃 rhythm and 緯 rhythm of the parietal dendritic layer, the somatic layer and the basal dendritic layer was analyzed by STA method. It is found that the phase angle of spike distribution is different in different field potential rhythms of different neural tissue structures. In calculating the mean angle of the phase of the spike, The STA method proposed in this paper is more efficient than the Bin method. After a single filtering of the STA wave in any required frequency band, the phase mean angle on a specific rhythm of the potential field potential can be obtained, and the superposition average calculation is not necessary. However, the Bin method needs to calculate the phase distribution of each spike on a specific rhythmic wave of the required field potential, and then calculate the phase mean angle by circumferential statistics. Therefore, STA method has high computational efficiency. To sum up, a STA method is proposed to analyze the relationship between spike potential release and field potential rhythm, and the quantitative parameters are designed by using STA wave to calculate the strong and weak phase locking characteristics of the spike potential and field potential rhythm. The effect of pre-filtering and artificially setting field potential frequency on the analysis results is avoided in Bin method. This STA method is of great significance for the study of neural information coding mechanism.
【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：TN911.7;R338.1
【參考文獻(xiàn)】
相關(guān)期刊論文 前4條
1 封洲燕;光磊;鄭曉靜;王靜;李淑輝;;應(yīng)用線性硅電極陣列檢測(cè)海馬場(chǎng)電位和單細(xì)胞動(dòng)作電位[J];生物化學(xué)與生物物理進(jìn)展;2007年04期
2 左明雪;;動(dòng)作電位形成的機(jī)制[J];生物學(xué)通報(bào);2006年06期
3 吳丹;封洲燕;王靜;;微電極陣列神經(jīng)元鋒電位信號(hào)的去噪方法[J];浙江大學(xué)學(xué)報(bào)(工學(xué)版);2010年01期
4 封洲燕;王靜;汪洋;鄭曉靜;;神經(jīng)元鋒電位信號(hào)濾波頻率的選擇[J];浙江大學(xué)學(xué)報(bào)(工學(xué)版);2012年02期
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