豚鼠听神经放电的复杂性分析

运用刻划非线性动力系统复杂性的两种测算方法：复杂度和近似熵,结合替代数据法,研究豚鼠听神经单纤维放电时间间隔序列的复杂性。结果显示,听神经自发放电时间间隔序列的复杂度要高于诱发时的复杂度;听神经诱发放电时间间隔序列的近似熵低于随机重排替代数据的近似熵。提示听神经放电不是完全随机的过程,而可能是混沌的动力学行为,而且诱发放电时的规律性更强。     

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     

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。     

低频电刺激大鼠脚桥核对丘脑腹外侧核神经元自发放电的影响及其机制

本文旨在观察低频电刺激脚桥核(pedunculopontine nucleus,PPN)对帕金森病(Parkinson’s disease,PD)模型大鼠丘脑腹外侧核(ventrolateral thalamic nucleus,VL)神经元自发放电活动的影响,以探讨低频电刺激PPN改善PD症状的作用机制。通过纹状体内注射6-羟多巴胺制备PD大鼠模型。采用在体细胞外记录、电刺激及微电泳方法,观察低频电刺激PPN、微电泳乙酰胆碱(acetylcholine,ACh)及其M型受体阻断剂阿托品(atropine,ATR)、γ-氨基丁酸(γ-aminobutyric acid,GABA)及其A型受体阻断剂荷包牡丹碱(bicuculline,BIC)对大鼠VL神经元放电频率的影响。结果显示,低频电刺激PPN可使正常大鼠和PD大鼠VL神经元自发放电频率增加。微电泳ACh对VL神经元具有兴奋和抑制两种作用,而微电泳ATR则主要抑制VL神经元,即使对被ACh抑制的神经元也产生抑制作用。微电泳GABA抑制VL神经元,而微电泳BIC则兴奋VL神经元。另外,在微电泳ACh的过程中微电泳GABA,被ACh兴奋或抑制的VL神经元放电频...     

自发和诱发神经放电序列的内在时序特性

运用Fano因子分析法,考察豚鼠听神经单纤维的自发放电序列、小鼠海马CAl区神经元的自发放电序列以及蟾蜍缝匠肌肌梭传入神经的诱发放电序列的时序特性,结果显示自发和诱发放电时间序列均存在Fano因子随计算窗口时间的增大而持续增长的特点,而原始数据的随机重排替代数据则没有这一特性,说明这些神经放电时间序列与一般的随机点过程不同,存在长时程相关性,在时序上具有某种结构特征。进一步的研究表明,这一时序结构特征可以通过将随机产生的一维正态分布序列数据,与神经放电时间序列数据进行跟随排序后而体现,提示这一特征与放电间隔的分布特点无关。     

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     

高频刺激丘脑底核对帕金森病大鼠模型纹状体神经元放电的影响

目的:观察高频刺激丘脑底核(STN)对帕金森病(PD)大鼠模型纹状体 (STR)神经元自发放电的影响.方法:应用6-羟基多巴胺(6-OHDA)制备偏侧PD大鼠模型,丘脑底核区插入刺激电极进行高频刺激,采用细胞外单位记录的方法观察STR神经元自发放电频率的改变.结果:正常大鼠刺激后STR神经元反应主要以兴奋型反应为主, PD大鼠STR神经元反应主要以兴奋抑制型为主,且随着刺激时间的延长,抑制持续时间逐渐增加,持续时间与刺激时间密切相关(r=0.94).结论:刺激STN可使PD大鼠纹状体的异常放电得到改善,提示高频电刺激STN可作为一种有效的治疗PD的方法.     

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（ｓｕｐｒａｏｐｔｉｃ ｎｕｃｌｅｕｓ,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（ｉｎｔｅｒｓｐｉｋｅ ｉｎｔｅｒｖａｌ,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     

多巴胺D_2样受体直接调节正常及帕金森病模型大鼠苍白球神经元自发放电（英文）

苍白球是基底神经节间接环路的重要核团,在机体正常及病理状态下调节运动功能。前期研究工作显示苍白球接受来自黑质纹状体轴突侧支的多巴胺能纤维支配。苍白球表达多巴胺D1和D_2样受体。本研究旨在采用多管微电极细胞外电生理记录技术,探讨多巴胺D_2样受体对正常及帕金森病模型大鼠苍白球神经元自发放电的直接调控效应。结果显示,在正常大鼠上,微压力给予多巴胺D_2样受体激动剂quinpirole对苍白球神经元自发放电发挥不同的电生理效应。在所记录的61个苍白球神经元,quinpirole可使24个神经元的放电频率增加(62.7±11.2)%,而使另外16个神经元放电频率降低(37.5±2.9)%,联合给予D_2样受体阻断剂sulpride可阻断quinpirole对苍白球神经元自发放电的调控效应。在6-羟基多巴胺(6-hydroxydopamine,6-OHDA)帕金森病模型大鼠损毁侧所记录的47个苍白球神经元中,quinpirole可使其中25个神经元的放电频率增加(64.2±10.1)%,而使另外11个神经元放电频率降低(51.9±6.2)%。以上结果提示,多巴胺D_2样受体双向调节苍白球神经元的自发放电活动;在帕金森病状态下,多巴胺D_2样受体仍具有双向调节苍白球神经元兴奋性的效应。     

电刺激大鼠脚内核对脚桥核神经元放电的影响

目的:观察电刺激大鼠脚内核(EP)对大鼠脚桥核(PPN)神经元自发放电的影响,进一步探讨脑内电刺激治疗帕金森病(PD)的机制。方法:应用细胞外记录的方法观察不同频率电刺激(强度0.6 mA,波宽0.06 ms,时程5 s,频率5 Hz、10Hz、20Hz、50Hz、100Hz、150Hz、200Hz)大鼠EP对PPN神经元放电的影响。结果:实验记录了大鼠33个神经元的自发放电,其放电频率在3.6~52.2Hz之间,平均为(15.95±8.56)Hz;当刺激频率为100Hz时,抑制效应最显著(P<0.05)。结论:高频电刺激大鼠EP对PPN神经元自发放电的影响主要为抑制作用,提示高频刺激EP可通过抑制PPN神经元活动参与PD的治疗。     

心脏对异丙肾上腺素反应性与心搏间期近似熵的关系

在正常新西兰兔测得搏间期近似熵较大,阿托品阻断后心搏间斯近似熵下降的基础上,观察兔心脏在上述两种状态下对异丙肾上腺素反应的差距。结果显示：在正常时,心脏对0．2μg/kg,0．4μg/kg,0．6μg/kg,异丙肾上腺素的反应性均强于应用阿托品后,并有显著差异P＜0．05,待阿托品作用部分消除后,心脏对异丙肾上腺素的反应性也部分恢复。表明心搏间期复杂性越大对异丙肾上腺素反应越敏感,支持“非周期敏感”是可兴奋细胞、组织或器官基本反应特征的假说。     

脑电图复杂度分析中的粗粒化问题II.量化对复杂度计算的影响

在对生物医学信号时间序列进行复杂度分析时,粗粒化预处理有可能会造成丢失原始信号中所蕴含的信息,甚至在某些情况下根本改变原信号的动力学性质。用计算机计算时的量化过程也是一种粗粒化,民有这类问题。通过对近似熵和我们所定义的Ｃ０复杂度这两种复杂度在不同量化精度下对一些典型时间序列复杂度分析的比较研究,发现一秀说来量化精度对复杂度分析的影响不是很大,仅当时原始信号进行二值比等极端情况下,才会显著改变原信号     

局灶性脑缺血损伤无创检测中EEG近似熵研究

局灶性脑缺血的早期无创诊断在临床实际中有着非常重要的意义。采用SD（Sparague-Dawley)大鼠建立了局灶性脑缺血的动物实验模型,记录了缺血前后缺血区域和正常区域的脑电信号EEG。由于近似熵复杂度算法所需时间序列长度较短,大大减少了脑电信号非平稳所带来的困难,且无需粗粒化,采用近似熵对局灶性缺血动物实验模型的脑电信号的复杂度进行了分析。结果发现缺血前后缺血与非缺血区域的近似熵均有着易于区分的特征,因此EEG信号的近似熵分析可以用于对局灶性缺血的脑损伤程度进行诊断,并区分损伤区域和非损伤区域,有望在临床中加以应用。     

基于替代数据思想的复杂度归一化方法及其在心电信号分析中的应用

基于替代数据(Surrogate)思想的复杂度归一化方法,克服了一般复杂度对信号采样长度与采样频率的敏感性。文章对在生物医学信号复杂度分析中最有潜在应用价值的近似熵和C0复杂度进行了归一化。应用该方法可以有效地反映人体心脏某些病理状态之间的差别。同时,通过比较各种复杂度指标发现,C0复杂度和近似熵对采样长度的敏感性最弱,适用于短数据量的信号分析。     

Chemical activation of pre-Bötzinger complex in vivo reduces respiratory network complexity

In the in vivo anesthetized adult cat model, multiple patterns of inspiratory motor discharge have been recorded in response to chemical stimulation and focal hypoxia of the pre-B?tzinger complex (pre-B?tC), suggesting that this region may participate in the generation of complex respiratory dynamics. The complexity of a signal can be quantified using approximate entropy (ApEn) and multiscale entropy (MSEn) methods, both of which measure the regularity (orderliness) in a time series, with the latter method taking into consideration temporal fluctuations in the underlying dynamics. The current investigation was undertaken to examine the effects of pre-B?tC-induced excitation of phasic phrenic nerve discharge, which is characterized by high-amplitude, rapid-rate-of-rise, short-duration bursts, on the complexity of the central inspiratory neural controller in the vagotomized, chloralose-anesthetized adult cat model. To assess inspiratory neural network complexity, we calculated the ApEn and MSEn of phrenic nerve bursts during eupneic (basal) discharge and during pre-B?tC-induced excitation of phasic inspiratory bursts. Chemical stimulation of the pre-B?tC using DL-homocysteic acid (DLH; 10 mM; 10-20 nl; n=10) significantly reduced the ApEn from 0.982+/-0.066 (mean+/-SE) to 0.664+/-0.067 (P<0.001) followed by recovery ( approximately 1-2 min after DLH) of the ApEn to 1.014+/-0.067; a slightly enhanced magnitude reduction in MSEn was observed. Focal pre-B?tC hypoxia (induced by sodium cyanide; NaCN; 1 mM; 20 nl; n=2) also elicited a reduction in both ApEn and MSEn, similar to those observed for the DLH-induced response. These observations demonstrate that activation of the pre-B?tC reduces inspiratory network complexity, suggesting a role for the pre-B?tC in regulation of complex respiratory dynamics.     

Progressive decrease of heart period variability entropy-based complexity during graded head-up tilt.

Complexity (or its opposite, regularity) of heart period variability has been related to age and disease but never linked to a progressive shift of the sympathovagal balance. We compare several well established estimates of complexity of heart period variability based on entropy rates [i.e., approximate entropy (ApEn), sample entropy (SampEn), and correct conditional entropy (CCE)] during an experimental protocol known to produce a gradual shift of the sympathovagal balance toward sympathetic activation and vagal withdrawal (i.e., the graded head-up tilt test). Complexity analysis was carried out in 17 healthy subjects over short heart period variability series ( approximately 250 cardiac beats) derived from ECG recordings during head-up tilt with table inclination randomly chosen inside the set {0, 15, 30, 45, 60, 75, 90}. We found that 1) ApEn does not change significantly during the protocol; 2) all indices measuring complexity based on entropy rates, including ad hoc corrections of the bias arising from their evaluation over short data sequences (i.e., corrected ApEn, SampEn, CCE), evidence a progressive decrease of complexity as a function of the tilt table inclination, thus indicating that complexity is under control of the autonomic nervous system; 3) corrected ApEn, SampEn, and CCE provide global indices that can be helpful to monitor sympathovagal balance.     

Sexual dimorphism in the complexity of cardiac pacemaker activity

This study explored the effects of gender and aging on the complexity of cardiac pacemaker activity. Electrocardiogram signals were studied in normal women (n = 240) and men (n = 240) ranging in age from 40 to 79 yr. Nonlinear analysis of short-term resting R-R intervals was performed using the correlation dimension (CD), approximate entropy (ApEn), and largest Lyapunov exponent (LLE). Evidence of nonlinear structure was obtained by the surrogate data test. CD, ApEn, and LLE were negatively correlated with age. Despite similar means and SDs of the R-R intervals, women had a significantly higher CD, ApEn, and LLE compared with men in the age strata of 40-44 and 45-49 yr. CD and ApEn were strongly (r > 0.71) correlated with low- and high-frequency components. We conclude that the resting cardiac pacemaker activity of women is more complex than that of men in middle age, and the gender-related difference diminishes after the age of 50 yr. The higher complexity implies a more comprehensive neural modulation.     

Physiological time-series analysis using approximate entropy and sample entropy

Entropy, as it relates to dynamical systems, is the rate of information production. Methods for estimation of the entropy of a system represented by a time series are not, however, well suited to analysis of the short and noisy data sets encountered in cardiovascular and other biological studies. Pincus introduced approximate entropy (ApEn), a set of measures of system complexity closely related to entropy, which is easily applied to clinical cardiovascular and other time series. ApEn statistics, however, lead to inconsistent results. We have developed a new and related complexity measure, sample entropy (SampEn), and have compared ApEn and SampEn by using them to analyze sets of random numbers with known probabilistic character. We have also evaluated cross-ApEn and cross-SampEn, which use cardiovascular data sets to measure the similarity of two distinct time series. SampEn agreed with theory much more closely than ApEn over a broad range of conditions. The improved accuracy of SampEn statistics should make them useful in the study of experimental clinical cardiovascular and other biological time series.     

Hemodynamics assessed via approximate entropy analysis of impedance cardiography time series: effect of metabolic syndrome

The metabolic syndrome (MS), a predisposing condition for cardiovascular disease, presents disturbances in hemodynamics; impedance cardiography (ICG) can assess these alterations. In subjects with MS, the morphology of the pulses present in the ICG time series is more irregular/complex than in normal subjects. Therefore, the aim of the present study was to quantitatively assess the complexity of ICG times series in 53 patients, with or without MS, through a nonlinear analysis algorithm, the approximate entropy, a method employed in recent years for the study of several biological signals, which provides a scalar index, ApEn. We correlated ApEn computed from ICG times series data during fasting and postprandial phase with the presence of alterations in the parameters defining MS [Adult Treatment Panel (ATP) III (Grundy SM, Brewer HB Jr, Cleeman JI, Smith SC Jr, Lenfant C; National Heart, Lung, and Blood Institute; American Heart Association. Circulation 109: 433-438, 2004) and the International Diabetes Federation (IDF) definition]. Results show that ApEn was significantly higher in subjects with MS compared with those without (1.81 ± 0.09 vs. 1.65 ± 0.13; means ± SD; P = 0.0013, with ATP III definition; 1.82 ± 0.09 vs. 1.67 ± 0.12; P = 0.00006, with the IDF definition). We also demonstrated that ApEn increase parallels the number of components of MS. ApEn was then correlated to each MS component: mean ApEn values of subjects belonging to the first and fourth quartiles of the distribution of MS parameters were statistically different for all parameters but HDL cholesterol. No difference was observed between ApEn values evaluated in fasting and postprandial states. In conclusion, we identified that MS is characterized by an increased complexity of ICG signals: this may have a prognostic relevance in subjects with this condition.