利用参数模型提取诱发脑电（EP）及其在40Hz EEG和EP间关联研究中的应用

提出一种基于参数模型的信息处理方法,用于诱发脑电的提取,这种方法可以得到单次ＥＰ波形的无偏,最小方差估计,用刺激强度实验验证了该方法在实际情况下的有效,进一步将其应用于刺激前ＥＥＧ与ＥＰ的关联研究,得到了刺激前４０Ｈｚ的ＥＥＧ成分与晚潜伏期听觉诱发脑电幅度有极显著负相关的结果,表明刺激前及状态确定对ＥＰ有影响。     

脑电信息处理

脑电信息处理是脑功能研究重要组成部分。本文介绍了脑电信息处理的前沿领域,包括诱发电位、事件相关电位（ＥＲＰ）、正弦调制光（声）诱发脑电、４０ＨｚＥＲＰ和脑电非线笥动力学研究,并论及了认知活动与分形维数的关系。     

复杂度脑电地形图研究

脑电地形图是近年脑电分析的热点之一。通过对各种复杂度算法的分析得出,近似熵由于所需要的时间序列长度较短,大大减少了脑电非平稳性所带来的困难,且无需粗粒化,在对生物医学信号的复杂度分析中有其一定的优点,采用近似熵对多道脑电信号的复杂度运算结果,通过空间插值,构建复杂性动态脑地形图,以便于观察大脑各部ＥＥＧ信号复杂度在同一时刻的相对强弱关系和这种关系随时间的变化。并通过对一些脑疾病患者脑电数据的分析,     

下丘脑穹窿周围区不同部位兴奋对心肌Po_2及ECG－ST的影响

电刺激下丘脑穹窿周围区（ＰＦＡ）的下丘脑背内侧核（ＤＭＨ）,下丘脑腹内侧核（ＶＭＨ）与下丘脑外侧区（ＬＨＡ）均可引起心肌Ｐ０＿２下降与血压升高,而以ＤＭＨ所致的心肌Ｐ０,下降最明显（Ｐ＜０．０１）。心得安可取消电刺激ＬＨＡ所致的心肌ＰＯ＿２下降,部分取消电刺激ＶＭＨ引起的心肌ＰＯ＿２下降,而不改变电刺激ＤＭＨ所致的心肌ＰＯ＿２下降（Ｐ＞０．０５）。ＤＭＨ、ＶＭＨ微量注射谷氨酸钠（０．１ｍｏｌ／Ｌ０．５μｌ）均可诱发升压反应和ＥＣＧ－ＳＴ压低,而ＬＨＡ微量注射谷氨酸却导致降压反应,对ＥＣＧ－ＳＴ无明显影响。上述结果提示ＤＭＨ为ＰＦＡ各区诱发心肌缺血缺氧的主要核团。兴奋ＤＭＨ、ＶＭＨ所致的心血管效应主要由胞体兴奋诱发,而电刺激ＬＨＡ所致的升压反应主要为兴奋过路纤维引起,该区胞体兴奋主要导致降压反应。     

脑电与认知活动的相关性

本文简要介绍了认知活动与脑电（包括自发脑电、诱发脑电、脑电事件相关电位、４０ＨＺ脑电事件相关电位）的相关性及其应用前景。     

时域相干刺激研究进展

脑深部电刺激已成为许多神经和精神疾病的有效治疗方法。然而,侵入性的电极植入会带来手术并发症的风险,并且刺激靶区在植入后很难改变。经颅磁刺激和经颅电刺激等非侵入性刺激方法为调节大脑功能提供了新的途径。但是,尚未证明这些非侵入性脑刺激方法可以直接调节脑深部神经元活动而不影响皮层神经元。因此,这些方法主要用于调节大脑表层脑区的神经活动。时域相干（temporal interference,TI）刺激是通过两个高频电场相互作用,产生低频包络调节神经活动的一种非侵入式脑深部电刺激的新方法,该方法有望解决无创脑深部刺激的需求。本文首先介绍TI刺激的概念以及安全性,然后阐述TI刺激现有研究中的电场分析方法,并讨论电场分析相关的生理模型建模方法和仿真平台以及TI刺激诱发场分布的研究进展与在动物和人体中的应用进展。最后,本文展望了TI刺激技术未来发展方向,以期为无创脑深部刺激研究提供新的研究思路。     

电针对大鼠尾核痛兴奋,痛抑制神经元放电和甩尾反射的影响

浅麻醉ｗｉｓｔａｒ大鼠２５只,用Ｇ－６８０５型治疗仪电针刺激双侧“足三里”。以辐射热照尾部作为伤害性刺激,将痛兴奋神经元（ＰＥＮ）诱发放电频率减少,痛抑制神经元（ＰＩＮ）诱发放电频率增加和甩尾反射潜伏期（ＴＦＬ）延长作为镇痛效应,观察电针刺激“足三里”对尾核中ＰＥＮ、ＰＩＮ及ＴＦＬ的影响。结果表明,电针刺激“足三里”,尾核中ＰＥＮ、ＰＩＮ放电及ＴＦＬ均显示镇痛效应;电针对ＰＥＮ、ＰＩＮ放电及ＴＦＬ的影响高峰均出现在电针后即刻;电针前ＰＥＮ放电频率增加、ＰＩＮ放电频率减少与甩尾反射（ＴＦ）相伴行。放电变化发生在ＴＦ之前,结束在ＴＦ之后,ＰＥＮ、ＰＩＮ放电变化与ＴＦＬ呈高度正相关。镇痛作用高峰期ＰＥＮ、ＰＩＮ放电变化仍在ＴＦ前,结束在ＴＦ之后,两者呈高度正相关。提示尾核中的ＰＥＮ、ＰＩＮ是痛觉调节中枢的一部分,可能参与对ＴＦ的调节。     

微弱电刺激对失眠者睡眠状况及睡眠脑电影响的初步研究

根据睡眠是由脑内亿万神经元同步振荡所刻划的观点［１］,及各种电刺激对动物睡眠影响的实验［２,３］,设计了用特定θ频率的正弦波微弱电流,刺激失眠病人颈部安眠２穴,以观察其对受试者脑电频率的客观影响。其结果是刺激后失眠病人由醒到２期的脑电记录中,θ波逐渐增加,增加了病人的总睡眠时间。这启示我们这种脑部的特殊频率微弱电流刺激,可能有引起脑部神经元群的共振现象,改变了受试者脑电中频率成分的分布特征,从而有助于失眠的治疗。这一现象是值得进一步研究的。     

发热：外周致热信号通过什么途径进入脑内？

最新研究显示致热源刺激肝脏巨噬细胞产生的介导物质可激活膈下迷走神经传入纤维,将外周致热信号传递入脑;中枢的去甲肾上腺素能神经将信号传至产热中枢;中枢的前列腺素Ｅ２（ＰＧＥ２）可能是最终的发热调节物     

离体运动神经元对腹外侧索刺激的突触反应特征

应用新片大鼠脊髓薄片运动神经元细胞内记录技术,对电刺激腹外侧索诱发的突触反应进行了电生理特性分析。结果在２８个测试的ＭＮ中,２２人有兴奋性突触后电位反应,其中２个跟随在抑制性突触反应这后,６个还对单或串刺激产生慢ＥＰＳＰ反应;ＶＬＦ－ＥＰＳＰ的潜伏期频数分布呈峰坡性偏态;同－ＭＮ的ＶＬＦ－ＥＰＳＰ与腹根ＥＰＳＰ间有典型的空间总和。     

Changes in EEG power, acoustic evoked potentials and heart rate after mildly arousing non-acoustic priming stimuli in carp (Cyprinus carpio).

1. Changes in EEG power spectrum of carp to a priming non-acoustic stimulus followed by acoustic clicks were compared to those due to acoustic clicks delivered alone. Recordings were made from the telencephalon, midbrain and medulla. Acoustic evoked potentials (AEPs) to the clicks were also recorded. 2. EEG power changes to non-acoustic stimuli occurred over the whole 1-40 Hz frequency range and were regionally specific and consistent. 3. The changes in the EEG midfrequency 12-24 Hz power spectrum to non-acoustic stimuli were significantly correlated with changes in the AEP to subsequent clicks. An elevated medullary AEP amplitude and reduced duration were correlated with increased medullary EEG power and increased midbrain AEP duration. 4. Telencephalic EEG power changes were inversely related to changes in medullary and midbrain AEP amplitude.     

Important relation between EEG and brain evoked potentials

In this study, we analyze the important relation between the spontaneous and evoked activities of the substructures of the cat brain, such as the reticular formation, hippocampus, inferior colliculus, medial geniculate nucleus and acoustical cortex, with an ensemble of systems theory methods consisting of the following steps: (1) single auditory and/or visual evoked potentials (EPs) and the spontaneous activities (EEG) just preceding the stimuli are recorded from the brain center under study; (2) selectively averaged evoked potentials (SAEPs) are obtained from the recorded EPs; (3) amplitude frequency characteristics are computed from the AAEPs by means of Fourier transform; (4) the single EEG-EP sweeps are theoretically pass-band filtered with adequate band limits determined according to the selectivities revealed by the amplitude characteristics; (5) the EEG and EP components obtained in this way are compared with regard to the amplification in the population response upon the application of the stimulus. The results of this analysis support quantitatively our prediction of various types of resonance phenomena in a number of nuclei in the cat brain and in a large scale of frequencies from 1 Hz to 1000 Hz and show that the amplification factor related to resonance phenomena has probabilistic nature. Therefore, the analogy which we have recently drawn between the behaviors of a neural population and a random-phase probabilistic harmonic oscillator is extended by assigning also the amplitude and the frequency of the oscillations as random variables. A working hypothesis for the dynamics of neuronal populations is elaborated accordingly.Presented in Part at the Third European Meeting on Cybernetics and Systems Research 1976 in Vienna, April 20–23, 1976Supported by Grant No. TAG-345 of the Scientific and Technical Research Council of Turkey     

Single evoked potential reconstruction by means of wavelet transform

We would like to propose a method of single evoked potential (EP) extraction free from assumptions and based on a novel approach — the wavelet representation of the signal. Wavelets were introduced by Grossman and Morlet in 1984. The method is based on the multiresolution signal decomposition. Wavelets are already used for speech recognition, geophysics investigations and fractal analysis. This method seems to be a useful improvement upon Fourier Transform analysis, since it provides simultaneous information on frequency and time localization of the signal. We would like to introduce wavelet formalism for the first time to brain signal analysis. One of the most important problems in this field is the analysis of evoked potentials. This signal has an amplitude several times smaller than EEG, therefore stimulus-synchronized averaging is commonly used. This method is based on several assumptions. Namely it is postulated that: 1) EP are characterized by a deterministic repeatable pattern, 2) EEG has purely stochastic character, 3) EEG and EP are independent. These assumptions have been challenged e.g. the variability of the EP pattern was demonstrated by John (1973) by means of factor analysis. In view of the works of Sayers et al. (1974) and Baar (1988) EP reflects the reorganization of the spontaneous activity under the influence of a stimulus and it is connected with the redistribution of EEG phases. Several attempts to overcome the limitation of the averaging method have been made. Heintze and Künkel (1984) used an autoregressive moving average (ARMA) model to extract evoked potentials from 2 segments. This was possible under two condiitons: high signal to noise ratio and clear separation of the EEG and EP spectra. These assumptions are not easy to fulfill, though. Cerutti et al. (1987) modeled background EEG activity by means of an AR process and event related brain activity by ARMA. In this way they were able to find a filter extracting single EP. Nevertheless, their method was not quite free of assumptions, since they since they used averaged EP to define their ARMA filter. In the following we shall briefly describe the method of the multiresolution decomposition and we will apply it to the analysis and reconstruction of single evoked potentials.     

Evoked frequency stabilization in the electrical activity of the cat brain

In this study, our previous results on the important relation between EEG and EPs were extended by experiments with chronically implanted and freely moving cats, which had electrodes at the acoustical cortex, inferior colliculus and reticular formation. During the experiments the frequency stabilization upon sound stimulation was shown in the frequency domain by comparison of the pre-stimulus power spectra and post-stimulus amplitude frequency characteristics. Comparative frequency domain analysis of about 75 EEG-EPograms (sample of spontaneous activities just prior to stimulation and single evoked potentials following the stimulation), which were recorded from all the brain nuclei mentioned above and from each of the 11 cats, was performed as follows: 1) Power spectra of the EEG-records prior to stimulus were evaluated. 2) Instantaneous frequency characteristics of single EPs were obtained by the Fourier transform. 3) Distribution of the amplitude maxima of the EP-frequency characteristics and the distribution of the EEG-spectral peaks were compared by plotting two types of histograms containing relevant spectral peaks before and after the stimulation. In a frequency range between 1–1000 Hz, the frequency distribution of the EP records from RF and IC were accumulated in narrow discrete frequency channels, whereas, the distribution of the spectral peaks of the EEG depicted frequency spread in broad channels. The frequency stabilization of the EP records from GEA, in the alpha frequency range, was also observed. This effect was described by a factor which we called as the Frequency Stabilization Factor. The results presented in this study showed that the frequency stabilization of the brain's electrical activity induced by sensory stimulation displayed a fluctuation leading to frequency stabilization factors between 0.95 and 5.00. The frequency stabilization and relevant power enhancement upon stimulation strongly support our contention that evoked potential results from the frequency stabilization of the spontaneous activity, triggered by stimulation.Supported by Grant No. TAG-345 of the Scientific and Technical Research Council of Turkey     

用园窗法记录的豚鼠听觉早潜伏期40Hz相关电位

采用适宜的参数,从豚鼠园窗记录出一种新的听觉４０Ｈｚ相关电位,它不同于Ｇａｌａｍｂｏｓ提出的听觉中潜伏期４０Ｈｚ相关电位。通过不同部位引导的对比观察,对该电位的基本特征、影响因素及其可能发生机理进行了初步探讨,结果显示４０ＨｚＡＥＲＰ－ＥＬＲ波形稳定,振幅高,频率响应好,反应阈值低。在０．５ｋＨｚ短纯音的反应阈值为１３．７５ｄＢｎＨＬ,较颅顶的听觉中潜伏期４０Ｈｚ相关电位低３５ｄＢｎＨＬ。     

Increase of slow periodic modulation of EEG in a patient with Alzheimer's disease.

The recently described slow oscillations of amplitude of theta and alpha waves of the EEG (with a frequency below 0.08 Hz) in healthy subjects are attributed to the autonomic nervous system with control at the brain stem level. In the present pilot study, the slow brain rhythms were analyzed in a patient with Alzheimer's disease and were compared to a healthy subject. Dynamic analysis of the EEG was performed using time-frequency mapping which gives simultaneous time and frequency representation of the brain signal. This method comprises a transform of the filtered EEG signal into its analytic form and application of the Wigner distribution modified by time and frequency smoothing. It has been shown that the envelope of both theta and alpha activities oscillates at 0.04 Hz and 0.07 Hz in the healthy subject and at 0.03 Hz and 0.06 Hz in a patient with Alzheimer's disease. The amplitude of the slow oscillations of theta activity was substantially higher in the patient with Alzheimer's disease as compared with the healthy subject. It is being proposed that the increase of slow brain rhythms in the patient with Alzheimer's disease reflects an abnormal activity of the autonomic nervous system. However, the underlying pathophysiological mechanisms need to be further studied.     

黑蝉(C.atrata Fabricius.)鸣声的方向性和第三气门的功能

黑蝉鸣声的波形结构无明显的方向性.单音节的重复周期和调幅脉冲列的间隔(I_1和I_2)分别为9.787±0.813ms、2.286±0.093ms和1.874±0.063ms.幅值特性有明显的方向性.主峰频率(MPF=5.47±0.11kHz)的幅值,头向和背向分别比尾向下降5.9dB和3.9dB,侧向和腹向分别增高1.1dB和2.3dB.两侧第三气门受阻后鸣声的波形结构和音色都产生明显变化.I_1和I_2分别为0.912±0.156ms和1.099±0.113ms,约为正常值的40—59%.有三个谱带,MPF为5775Hz,两侧谱带的峰值频率为4575Hz和7025Hz,分别下降1.5dB和3.4dB.     

EEG Findings of Reduced Neural Synchronization during Visual Integration in Schizophrenia

Schizophrenia patients exhibit well-documented visual processing deficits. One area of disruption is visual integration, the ability to form global objects from local elements. However, most studies of visual integration in schizophrenia have been conducted in the context of an active attention task, which may influence the findings. In this study we examined visual integration using electroencephalography (EEG) in a passive task to elucidate neural mechanisms associated with poor visual integration. Forty-six schizophrenia patients and 30 healthy controls had EEG recorded while passively viewing figures comprised of real, illusory, or no contours. We examined visual P100, N100, and P200 event-related potential (ERP) components, as well as neural synchronization in the gamma (30-60 Hz) band assessed by the EEG phase locking factor (PLF). The N100 was significantly larger to illusory vs. no contour, and illusory vs. real contour stimuli while the P200 was larger only to real vs. illusory stimuli; there were no significant interactions with group. Compared to controls, patients failed to show increased phase locking to illusory versus no contours between 40-60 Hz. Also, controls, but not patients, had larger PLF between 30-40 Hz when viewing real vs. illusory contours. Finally, the positive symptom factor of the BPRS was negatively correlated with PLF values between 40-60 Hz to illusory stimuli, and with PLF between 30-40 Hz to real contour stimuli. These results suggest that the pattern of results across visual processing conditions is similar in patients and controls. However, patients have deficits in neural synchronization in the gamma range during basic processing of illusory contours when attentional demand is limited.     

Changes in the EEG Spectrum and Subjective Characteristics of the General State after Stimulation with Variable Frequency Photic Stimuli with Two Types of Organization

Two sinusoidal signals, one with a constant frequency of 13 Hz and the other with a frequency continuously changing from 1 to 6 Hz and back, were presented simultaneously to subjects through spectacles with light-emitting diodes either to both eyes as a product (amplitude modulation of a constant frequency by a variable one) or to each eye separately. Both kinds of variable frequency exposure revealed a rhomboid pattern of the resonance activation of the EEG spectrum, similar to the spectral dynamics of a signal subject to amplitude modulation. This testifies to the key role of EEG amplitude modulation in the responses of the nervous system to variable frequency rhythmic stimuli. Both types of photic stimulation led to a substantial increase in EEG spectral density and improved the subjects' self-rating of the overall state of well-being, activity, and mood. In addition, separate stimulation of each eye led to an improvement in the anxiety and exercise performance indices (the Luscher color test) and a significant correlation between the intensity of EEG responses and changes in the general state. These differences are explained in terms of the involvement of the interhemispheric interaction mechanisms in the processing of complex rhythmic signals by the brain.