大鼠视上核神经元自发放电节律的确定性机制

利用非线性动力学的方法 ,在多种生物数据中找到了确定性机制。大鼠下丘脑视上核(supraopticnucleus,SON)神经元自发产生不规则的放电。为了研究这些不规则放电是否含有确定性机制 ,用电流钳对大鼠SON神经元进行全细胞纪录,取动作电位峰峰间期序列(interspikeinterval,ISI)作为研究对象。采用一种新的检测时间序列非稳定周期轨道的方法分析ISI序列 ,发现ISI含有非稳定周期轨道族 ,即周期1 ,周期2 ,和周期3存在。结果表明 ,SON神经元的自发放电序列存在确定性的动力学机制。     

神经元的确定性与随机性整数倍放电

在大鼠损伤背根节神经元的自发放电中发现了整数倍放电, 为了阐明这种放电所产生的原因, 首先研究神经元模型中确定性混沌所引起的整数倍放电与噪声所诱发的整数倍放电的峰峰间期（ＩＳＩ） 序列,通过分析得到前者的ＩＳＩ序列是非线性可预报的,具有确定的非线性特性,但由噪声所诱发的整数倍放电的ＩＳＩ序列是不可预报的, 这表明这两种机制所产生的整数倍放电具有不同的特点,存在着定性的差别,并且混沌运动所产生的整数倍放电是由混沌中各阶不稳定周期轨道决定的。从这种差别出发,分析了实验中整数倍放电的ＩＳＩ 序列,得到该ＩＳＩ 序列是可非线性预报的,这表明大鼠损伤背根节神经元自发放电中的整数倍放电更可能是由确定性机制所产生的     

人胎儿下丘脑视上区生长抑素神经元发生学的研究

本研究采用了免疫细胞化学方法,首次系统观察了２２例９—２７周引产人胎儿下丘脑视上区的视上核和视交叉上核内的生长抑素免疫反应神经元（Ｓｏｍａｔｏｓｔａｔｉｎｉｍｍｕｎｏｒｅａｃｔｉｖｅｎｅｕｒｏｎ,简称ＳＯＭ－ＩＲ神经元）的发生、发育的形态学特征。从１６周开始,在视上核（ＳｕｐｒａｏｐｔｉｃａｌｎｕｃｌｅｕｓＳＯＮ）和交叉上核（ＳｕｐｒａｃｈｉａｓｍａｔｉｅｎｕｃｌｅｕｓＳＯＮ）内可观察到ＳＯＭ－ＩＲ神经元,在ＳＯＮ、ＳＯＭ－ＩＲ神经元数随着胎龄增加而增多,到２２周时数量最多,以后随着胎龄增加ＳＯＭ－ＩＲ神经元数出现逐渐减少现象;ＳＣＮ内的ＳＯＭ－ＩＲ神经元在１８周和２２周时出现两次高峰,研究结果提示,ＳＯＮ和ＳＣＮ内的ＳＯＭ－ＩＲ神经元在胚胎发育过程中出现消长现象,表明了ＳＯＭ－ＩＲ神经元在ＳＯＮ和ＳＣＮ内各有其独特的发育过程。     

中国对虾cDNA文库的构建

中国对虾ｃＤＮＡ文库的构建ＣＯＮＳＴＲＵＣＴＩＯＮＯＦｃＤＮＡＬＩＢＲＡＲＹＯＦＳＨＲＩＭＰＰＥＮＡＥＵＳＣＨＩＮＥＮＳＩＳ（ＣＲＵＳＴＡＣＥＡ,ＤＥＣＡＰＯＤＡ）关键词中国对虾ｃＤＮＡ文库构建ＫｅｙｗｏｒｄｓＰｅｎａｅｕｓｃｈｉｎｅｎｓｉｓ,ｃＤＮ...     

一氧化氮合酶在豚鼠听觉核团的分布

为了研究一氧化氮合酶（ｎｉｔｒｉｃｏｘｉｄｅｓｙｔｈａｓｅ,ＮＯＳ）在听觉核团的分布特点,探讨一氧化氮（ｎｉｔｒｉｃｏｘｅｄｅ,ＮＯ）在听觉径路中的作用,本文采用ＮＡＤＰＨ硫辛酸胺脱氢酶（ＮＡＤＰＨ－ｄ）组织化学方法,研究了豚鼠听觉核团内ＮＯＳ的分布。结果发现,在各级听觉传入核团,均有ＮＯＳ阳性神经元,而上橄榄复合体ＮＯＳ反应阴性。耳蜗核ＮＯＳ阳性神经元主要集中在耳蜗后腹核,为圆形或椭圆形双极神经元。下丘ＮＯＳ阳性反应神经元位于下丘中央核团,胞体形状和大小不一。内侧膝状体背侧核ＮＯＳ阳性神经元相对集中,多为双极神经元,部分神经元突起很长,散在阳性纤维,部分阳性纤维穿行于内侧膝状体背侧核与内侧膝状体之间。本研究提示,ＮＯ可能是听觉中枢的神经递质或调质,参与声信号传递的调节。     

GENUS ANTROPHYUM KAULF.FROM CHINA AND NEIGHBORING REGIONS

ＧＥＮＵＳＡＮＴＲＯＰＨＹＵＭＫＡＵＬＦ．ＦＲＯＭＣＨＩＮＡＡＮＤＮＥＩＧＨＢＯＲＩＮＧＲＥＧＩＯＮＳＸ．Ｃ．ＺＨＡＮＧ（Ｔｈｅｈｅｒｂａｒｉｕｍ（ＰＥ）,ＩｎｓｔｉｔｕｔｅｏｆＢｏｔａｎｙ,ＣｈｉｎｅｓｅＡｃａｄｅｍｙｏｆＳｃｉｅｎｃｅｓ,Ｂｅｉ...     

左旋千金藤啶碱D1激动—D2阻滞作用引起伏核双相放电活动的电生理研究

为确定左旋千金藤啶碱（ＳＰＤ）对中脑边缘ＤＡ神经系统的作用特性,本研究采用细胞外记录的电生理学方法,观察微电泳和尾静脉给药对６－ＯＨＤＡ损毁及未损毁大鼠的伏核（ＮＡｃ）单位放电的影响。结果显示：ＳＰＤ累积给药（０．０２－２ｍｇ／ｋｇ,ｉｖ）可诱发ＮＡｃ神经元双相放电特征,即小剂量抑制、大剂量兴奋。预先给予Ｄ２受体拮抗剂ｓｐｅｐｅｒｏｎｅ,ＳＰＤ则仅产生兴奋效应,并被Ｄ１拮抗剂ＳＣＨ－２３３９０所翻     

神经元的稳定性与随机性整数倍放电

在大鼠损伤背根节神经元的自发放电中发现了整数倍放电,为了阐明这种放电所产生的原因,首先研究神经元模型中确定性混沌所引起的整数倍放电与噪声所诱发的整数放电的峰峰间期序列,通过分析得到前者的ＩＳＩ序列是非线性可预报的,具有确定的非线性特性,但由噪声所诱发的整数倍放电的ＩＳＩ序列是不可预报的,这表明这两种机制所产生的整数倍放电具有不同的特点,存在着定笥的差别,并且混沌运动所产生的整数倍放电是由混沌中各种     

L－NNA及NO供体对延髓腹外侧头端区神经元自发放电的影响

在麻醉大鼠观察了静注ＮＯ合成酶抑制剂Ｎ－硝基左旋精氨酸（Ｌ－ＮＮＡ）和ＮＯ供体──硝普钠（ＳＮＰ）和ＳＩＮ－Ｉ对血压、心率和延髓腹外侧头端区（ＲＶＬＭ）神经元自发放电活动的影响,旨在探讨Ｌ－ａｒｇ：ＮＯ通路对动脉血压调节的中枢作用部位。所得结果如下：（１）静注Ｌ－ＮＮＡ后,平均动脉压（ＭＡＰ）升高,心率（ＨＲ）加快,１１个ＲＶＬＭ神经元自发放电频率增加。这些变化发生于给药后５ｍｉｎ,持续时间达３０ｍｉｎ以上。（２）静注ＳＮＰ后,ＭＡＰ降低,ＨＲ加快,２３个ＲＶＬＭ神经元自发放电频率降低,且有剂量依赖性。ＳＮＰ作用发生快,持续时间短。为了排除脑缺血的影响,还特意向一侧颈动脉内注射相同剂量ＳＮＰ,结果引起ＭＡＰ轻度降低,而ＨＲ无明显改变,但ＲＶＬＭ神经元自发放电频率仍显著降低。（３）静注另一ＮＯ供体ＳＩＮ－Ｉ后,ＭＡＰ降低,１１个ＲＶＬＭ神经元自发放电频率降低．与ＳＮＰ的效应基本一致。以上结果提示,ＲＶＬＭ是Ｌ－ａｒｇ：ＮＯ通路实现动脉血压调节的一个中枢作用部位。     

剪切应力对血管内皮细胞NO合成酶活性的影响及其机理探讨

目的：观测流体剪切应力对血管内皮细胞ＮＯ合成酶（ｎｉｔｒｉｃ ｏｘｉｄｅｓｙｎｔｈａｓｅ,ＮＯＳ）活性的影响并探讨其发生机制。方法：采用Ｇｒｉｅｓｓ 方法测定不同流体剪切应力作用下血管内皮细胞中ＮＯＳ活性的变化;并观测多种ＮＯＳ干预物质对这种变化的影响。结果：剪切应力显著提高血管内皮细胞中ＮＯＳ活性;地塞米松（ｄｅｘａｍｅｔｈａｓｏｎｅ）实验表明,剪切应力这种作用主要是通过对结构型ＮＯＳ活性的增强实现的,且具有明显的剂量和时间依赖性;放线菌酮（ｃｙｃｌｏｈｅｘｉｍｉｄｅ）非特异性地抑制细胞中ＮＯＳ酶蛋白合成,但ｃｙｃｌｏｈｅｘｉｍｉｄｅ 处理组中受剪切应力作用细胞ＮＯＳ活性仍显著高于其对照细胞,仅升高幅度明显降低。Ａ２３１８７ 处理后细胞中ＮＯＳ活性升高约达２ 倍,其中剪切应力作用细胞的ＮＯＳ活性显著高于其对照,但这种变化程度亦较Ａ２３１８７ 未处理组明显减小。结论：剪切应力显著提高血管内皮细胞ｅＮＯＳ活性：ｅＮＯＳ酶蛋白合成增加和细胞内Ｃａ２＋ 浓度的升高在剪切应力对血管内皮细胞ＮＯＳ活性的调节机制中具有重要意义     

Detection of deterministic behavior within the tissue injury-induced persistent firing of nociceptive neurons in the dorsal horn of the rat spinal cord

To unravel the temporal features of the peripheral tissue injury induced persistent nociceptive discharge, single wide dynamic range (WDR) unit activity was recorded extracellularly in lumbar dorsal horn of anesthetized rats and interspike interval (ISI) series were obtained. Subcutaneous (s.c.) bee venom (BV) injection induced persistent discharge of spinal WDR neurons and has been well established to be a good model in evaluation of tissue injury induced pain. By applying a more novel approach, i.e., the unstable periodic orbit (UPO) identification method, we detected a family of significant separate UPOs (period-1, 2 and 3 orbits) within the ISI series of BV-induced nociceptive discharge, but not spontaneous background activity of spinal WDR neuron. Furthermore, temporally dynamic changes of UPOs at lower period-1, 2 and 3 for 4 successive time segments within 1 h time course of WDR unit firing showed temporally dynamic changes, i.e., new orbits with longer ISIs emerged and those with shorter ISIs vanished with time change. By using this method we suggest that BV-induced nociceptive discharge of spinal WDR neuron be a kind of deterministic activity and various UPOs may play some role in temporal coding of sensory information.     

基于混沌降噪的神经元放电峰峰间期序列分析

围绕如何来消除神经元峰峰间期序列中随机噪声影响从而提取出决定不规则性的确定性动力学关系这个问题,本文首先简要介绍峰峰间期序列样本的制备,然后着重讨论一个简单可行的混沌时间序列降噪方法的原理和算法实现,最终将该方法运用到神经元放电活动数值模拟和实验记录到的峰峰间期时间序列样本分析中。本文分析结果再次证明神经放电活动中确实存在着不规则混沌运动,而且降噪结果进一步揭示了神经电生理实验中决定混沌放电的不连续但分段光滑的单峰函数关系     

Dynamics of period-doubling bifurcation to chaos in the spontaneous neural firing patterns

Period-doubling bifurcation to chaos were discovered in spontaneous firings of Onchidium pacemaker neurons. In this paper, we provide three cases of bifurcation processes related to period-doubling bifurcation cascades to chaos observed in the spontaneous firing patterns recorded from an injured site of rat sciatic nerve as a pacemaker. Period-doubling bifurcation cascades to period-4 (π(2,2)) firstly, and then to chaos, at last to a periodicity, which can be period-5, period-4 (π(4)) and period-3, respectively, in different pacemakers. The three bifurcation processes are labeled as case I, II and III, respectively, manifesting procedures different to those of period-adding bifurcation. Higher-dimensional unstable periodic orbits (UPOs) can be detected in the chaos, built close relationships to the periodic firing patterns. Case III bifurcation process is similar to that discovered in the Onchidium pacemaker neurons and simulated in theoretical model-Chay model. The extra-large Feigenbaum constant manifesting in the period-doubling bifurcation process, induced by quasi-discontinuous characteristics exhibited in the first return maps of both ISI series and slow variable of Chay model, shows that higher-dimensional periodic behaviors appeared difficult within the period-doubling bifurcation cascades. The results not only provide examples of period-doubling bifurcation to chaos and chaos with higher-dimensional UPOs, but also reveal the dynamical features of the period-doubling bifurcation cascades to chaos.     

Nonlinear sequence-dependent structure of nigral dopamine neuron interspike interval firing patterns.

Firing patterns of 15 dopamine neurons in the rat substantia nigra were studied. These cells alternated between two firing modes, single-spike and bursting, which interwove to produce irregular, aperiodic interspike interval (ISI) patterns. When examined by linear autocorrelation analysis, these patterns appeared to reflect a primarily stochastic or random process. However, dynamical analysis revealed that the sequential behavior of a majority of these cells expressed "higher-dimensional" nonlinear deterministic structure. Dimensionality refers to the number of degrees of freedom or complexity of a time series. Bursting was statistically associated with some aspects of nonlinear ISI sequence dependence. Controlling for the effects of nonstationarity substantially increased overall predictability of ISI sequences. We hypothesize that the nonlinear deterministic structure of ISI firing patterns reflects the neuron's response to coordinated synaptic inputs emerging from neural circuit interactions.     

Dynamical Heterogeneity of Suprachiasmatic Nucleus Neurons Based on Regularity and Determinism

The suprachiasmatic nucleus (SCN) is known to be the master biological clock in mammals. Despite the periodic mean firing rate, interspike interval (ISI) patterns of SCN neurons are quite complex and irregular. The aim of the present study was to investigate the existence of nonlinear determinism in the complex ISI patterns of SCN neurons. ISI sequences were recorded from 173 neurons in rat hypothalamic slice preparations using a cell-attached patch recording technique. Their correlation dimensions (D₂) were estimated, and were then compared with those of the randomly-shuffled surrogate data. We found that only 16 neurons (16/173) exhibited deterministic ISI patterns of spikes. In addition, clustering analysis revealed that SCN neurons could be divided into two subgroups of neurons each having distinct values of coefficient of variation (CV) and skewness (SK). Interestingly, most deterministic SCN neurons (14/16) belonged to the group of irregularly spiking neurons having large CV and SK values. To see if the neuronal coupling mediated by the γ-aminobutyric acid (GABA), the major neurotransmitter in the SCN, contributed to the deterministic nature, we examined the effect of the GABA_A receptor antagonist bicuculline on D₂ values of 56 SCN neurons. 8 SCN neurons which were originally stochastic became to exhibit deterministic characteristics after the bicuculline application. This result suggests that the deterministic nature of the SCN neurons arises not from GABAergic synaptic interactions, but likely from properties inherent to neurons themselves.Action Editor: Barry J. Richmond     

实验性神经起步点的不规则节律中的非稳定周期轨道

在大鼠坐骨神经结扎模型中,记录到放电节律以周期加方式相互转化,在确认了周期二与周期三之间的不规则节律具有混性质后,借助峰峰间期序列的回归映象方法,使用了一种测度增强算法,确认了此混沌放电中的非稳定周期轨道结构,提示出非稳定周期轨道在神经不规则放电节律的动力学之中起着重要作用。     

Biological Experimental Observations of an Unnoticed Chaos as Simulated by the Hindmarsh-Rose Model

An unnoticed chaotic firing pattern, lying between period-1 and period-2 firing patterns, has received little attention over the past 20 years since it was first simulated in the Hindmarsh-Rose (HR) model. In the present study, the rat sciatic nerve model of chronic constriction injury (CCI) was used as an experimental neural pacemaker to investigate the transition regularities of spontaneous firing patterns. Chaotic firing lying between period-1 and period-2 firings was observed located in four bifurcation scenarios in different, isolated neural pacemakers. These bifurcation scenarios were induced by decreasing extracellular calcium concentrations. The behaviors after period-2 firing pattern in the four scenarios were period-doubling bifurcation not to chaos, period-doubling bifurcation to chaos, period-adding sequences with chaotic firings, and period-adding sequences with stochastic firings. The deterministic structure of the chaotic firing pattern was identified by the first return map of interspike intervals and a short-term prediction using nonlinear prediction. The experimental observations closely match those simulated in a two-dimensional parameter space using the HR model, providing strong evidences of the existence of chaotic firing lying between period-1 and period-2 firing patterns in the actual nervous system. The results also present relationships in the parameter space between this chaotic firing and other firing patterns, such as the chaotic firings that appear after period-2 firing pattern located within the well-known comb-shaped region, periodic firing patterns and stochastic firing patterns, as predicted by the HR model. We hope that this study can focus attention on and help to further the understanding of the unnoticed chaotic neural firing pattern.     

Management of synchronized network activity by highly active neurons

Increasing evidence supports the idea that spontaneous brain activity may have an important functional role. Cultured neuronal networks provide a suitable model system to search for the mechanisms by which neuronal spontaneous activity is maintained and regulated. This activity is marked by synchronized bursting events (SBEs)--short time windows (hundreds of milliseconds) of rapid neuronal firing separated by long quiescent periods (seconds). However, there exists a special subset of rapidly firing neurons whose activity also persists between SBEs. It has been proposed that these highly active (HA) neurons play an important role in the management (i.e. establishment, maintenance and regulation) of the synchronized network activity. Here, we studied the dynamical properties and the functional role of HA neurons in homogeneous and engineered networks, during early network development, upon recovery from chemical inhibition and in response to electrical stimulations. We found that their sequences of inter-spike intervals (ISI) exhibit long time correlations and a unimodal distribution. During the network's development and under intense inhibition, the observed activity follows a transition period during which mostly HA neurons are active. Studying networks with engineered geometry, we found that HA neurons are precursors (the first to fire) of the spontaneous SBEs and are more responsive to electrical stimulations.