Complexity of resting-state EEG activity in the patients with early-stage Parkinson’s disease

To investigate the abnormal brain activities in the early stage of Parkinson’s disease (PD), the electroencephalogram (EEG) signals were recorded with 20 channels from non-dementia PD patients (18 patients, 8 females) and age matched healthy controls (18 subjects, 8 females) during the resting state. Two methods based on the ordinal patterns of the recorded series, i.e., permutation entropy (PE) and order index (OI), were introduced to characterize the complexity of the cortical activities for two groups. It was observed that the resting-state EEG of PD patients showed lower PE and higher OI than healthy controls, which indicated that the early-stage PD caused the reduced complexity of EEG. We further applied two methods to determine the complexity of EEG rhythms in five sub-bands. The results showed that the gamma, beta and alpha rhythms of PD patients were characterized by lower PE and higher OI, i.e., reduced complexity, than healthy subjects. No significant differences were observed in theta or delta rhythms between two groups. The findings suggested that PE and OI were promising methods to detect the abnormal changes in the dynamics of EEG signals associated with early-stage PD. Further, such changes in EEG complexity may be the early markers of the cortical or subcortical dysfunction caused by PD.     

Towards a novel monitor of intraoperative awareness: selecting paradigm settings for a movement-based brain-computer interface

During 0.1-0.2% of operations with general anesthesia, patients become aware during surgery. Unfortunately, pharmacologically paralyzed patients cannot seek attention by moving. Their attempted movements may however induce detectable EEG changes over the motor cortex. Here, methods from the area of movement-based brain-computer interfacing are proposed as a novel direction in anesthesia monitoring. Optimal settings for development of such a paradigm are studied to allow for a clinically feasible system. A classifier was trained on recorded EEG data of ten healthy non-anesthetized participants executing 3-second movement tasks. Extensive analysis was performed on this data to obtain an optimal EEG channel set and optimal features for use in a movement detection paradigm. EEG during movement could be distinguished from EEG during non-movement with very high accuracy. After a short calibration session, an average classification rate of 92% was obtained using nine EEG channels over the motor cortex, combined movement and post-movement signals, a frequency resolution of 4 Hz and a frequency range of 8-24 Hz. Using Monte Carlo simulation and a simple decision making paradigm, this translated into a probability of 99% of true positive movement detection within the first two and a half minutes after movement onset. A very low mean false positive rate of <0.01% was obtained. The current results corroborate the feasibility of detecting movement-related EEG signals, bearing in mind the clinical demands for use during surgery. Based on these results further clinical testing can be initiated.     

EEG Dynamics in Women during Pregnancy and after Delivery

Clinical and spectral analyses of EEG recorded in the first trimester of pregnancy and six to nine months postpartum were performed in 11 women. It was shown that, in all examined women, the spectral power of virtually all rhythms of baseline postpartum EEG was uniquely decreased compared to the EEG during pregnancy in all derivations. To a lesser extent, this was characteristic of the ₂ rhythm. Changes in the postpartum EEG were most manifest during hyperventilation, predominantly, in the form of burst and paroxysmal activity. The women were divided into groups with and without postpartum paroxysmal activity. It was observed that abnormal pregnancy was more frequent in women with burst EEG activity in the nopregnant state. This index can be used as a test to reveal the group of risk of unfavorable course of pregnancy.     

Chaotic nonlinear dynamics of prestimulus EEG and the structure of auditory evoked potentials

The dynamic pattern of a prestimulus EEG was studied by the fractal analysis technique. The character of this pattern was shown to affect the structure of cortical auditory evoked potentials (EP). A monoperiodic pattern in the control frequency band was accompanied by a formation of several new attractors with low dimensionality attributed to simultaneous functioning of several weakly connected dynamic systems with an indefinite trend of a leading process. During development of multiperiodic processes in EEG segments, the fractal analysis revealed a tendency for a formation of a single complex dynamic system with high dimensionality of the attractor. Characteristic changes in parameters of the primary and middle-latency EP components, their correlation, and factor models are related with the character of nonlinear patterns. Analysis of variance revealed the most effective role of pattern changes in the EEG alpha control band. The structure of combination of parameters of the EP primary components into connected complexes depends on the nonlinear prestimulus EEG patterns. The above predictors determine differently directed and differently pronounced changes in parameters of the middle-latency positive waves.     

Relations of the EEG local and spatialtemporal spectral characteristics changes under hypoxia in humans

Spatial temporal and local EEG characteristics were studied in healthy subjects during inhalation of hypoxic oxygen-nitrogen gas mixture with 8 % content of oxygen. Analysis of spectra power density, coherence, phase shift, similarity of dominant frequencies in the EEGs of different derivations was performed separately for the EEG epochs with and without visually detected patterns of spatial synchrony of the EEG. Apart from this, a fact of dominance of the frequency in the EEG spectra of corresponding derivation was taken into account when estimating spectral parameters. Results of the study showed that, in general, under hypoxia, the EEG coherence in alpha- and delta-frequency range decreases as compared to the background level, in beta-range growth of this parameter is observed, in theta-range ambiguous changes occur: in the epochs with patterns of spatial synchrony--growth, in other epochs--lowering. Under hypoxia, also occurs growth of frontal and temporal EEGs' phase shift (corresponding to EEGs other derivations) in delta- and theta-range. In beta-range, on the contrary, average level of the phase shift decreases. It was revealed that taking into account the fact of dominance of frequency in the local EEG spectra is necessary for correct interpretation of the EEG spatial and temporal parameter analysis' results. A mathematical model of interaction between processes with different frequency characteristics is suggested, which explains some facts obtained in the study.     

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,     

Developmental features of the brain bioelectrical activity in children with remote consequences of a perinatal lesion of the CNS. II. EEG typology in normal and mental disorders

This research represents EEG - investigation by children with remote consequences of perinatal CNS pathology. Its described the different EEG types in normal and mental disorders in children. Its showed a early EEG - markers of abnormal ontogenesis in longitudinal study. The data obtained gives to prevent a negative dynamic of mental and speech development (learning disability, motor alalia, autism).     

Influence of electrode type on neuromuscular activation patterns during walking in healthy subjects

The role of muscle activation in both pathological and spastic populations is of interest for understanding central nervous system function. Muscle activation patterns may provide insight into pathological changes compared to healthy controls. To gain a better understanding of surgical interventions, gait muscle activation patterns are studied before and after surgery. Previous studies using surface electromyography have indicated that muscle activation onset, time to peak, and peak amplitude may be helpful in assessing the neuromuscular control strategy that underlies pathological populations. Geometric artifact may influence electromyographic variables as recorded by different electrode types and electrode placement. The purpose of this investigation was to compare surface and fine-wire activation patterns during gait to elucidate the influence electrode type has on electromyographic variables. Lower leg surface and fine-wire electromyographic activity was recorded simultaneously during gait to assess if electrode type (fine-wire vs. surface) affects muscle onset, time to peak, peak amplitude, and activation patterns. No significant differences were recorded between surface and fine-wire electrodes for muscle onset or time to peak activation. Activation patterns revealed similarity between electrodes. Some significant differences were detected in peak amplitude. Non-invasive surface electrodes provide an adequate representation of timing variables for primary ankle muscles during gait.     

40例慢性脑型血吸虫病的脑电图分析

目的:了解脑型血吸虫病脑电图(EEG)的脑电活动状况,为临床诊断与治疗提供参考。方法:收集1997~2004年临床诊断为脑型血吸虫病的40例EEG资料,主要分析异常EEG的脑电活动状况与异常程度、临床分型及预后的关系。结果:31例出现不同程度的EEG异常改变,异常率为77.5%,其中癫痫性为70%;脑瘤型为100%。绝大部分EEG检查是患者经治疗后作的。治疗前后均作了EEG检查的仅9例。治疗前,9例均有不同程度异常,治疗后7例有不同程度改善,2例恢复正常。结论:EEG对脑型血吸虫病的诊断及预后的评价有参考价值。     

THE ELECTROENCEPHALOGRAM IN PEDIATRICS—The Indications for Use and the Limitations

Electroencephalograms normally undergo pronounced serial changes during maturation of the brain.Many physiological and nonphysiological influences may alter the EEG tracing.As regards EEG''s, appraisal of cerebral function is based on comparison with normal standards of frequency, rhythm, wave configuration and amplitude, bilateral synchrony, and response to various physiological stimuli.Various abnormal EEG patterns are fairly constantly related to concomitant clinical disease.A laboratory tool which may be used to supplement clinical data but not to make a clinical diagnosis, the EEG may also sometimes be of value in helping to suggest prognosis and in helping with evaluation of a therapeutic program.     

利用转基因标记NPTⅡ快速、规模化纯合转基因番茄

利用卡那霉素喷施方法对带有NPTⅡ标记基因和双价外源基因(烟草渗调蛋白基因AP24和菜豆几丁质酶基因Chi)的转基因番茄的3个世代在温室或田间环境进行规模化筛选,成功获得8个单拷贝转基因纯合植株。含有单个拷贝NPTⅡ标记基因的转基因株系后代,对卡那霉素的抗感分离符合3:1的孟德尔分离比例,T₂代中一些株系表现为对卡那霉素全抗,表明这些株系的外源基因已经纯合,这一结果在T₃代中进一步得到证实。但对于含有两个拷贝外源基因的转基因株系,外源基因的遗传则比较复杂。同时,结合Km喷施和多重PCR技术对外源基因的异常遗传进行了初步分析。用PCR分析进一步证实了该方法的准确性,该方法是对转基因番茄进行大规模、快速遗传分析的理想方法。     

Does EEG activity during painful stimulation mirror more closely the noxious stimulus intensity or the subjective pain sensation?

Abstract

Background: Many researchers have tried to investigate pain by studying brain responses. One method used to investigate pain-related brain responses is continuous electroencephalography (EEG). The objective of the current study is to add on to our understanding of EEG responses during pain, by differentiation between EEG patterns indicative of (i) the noxious stimulus intensity and (ii) the subjective pain sensation.

Methods: EEG was recorded during the administration of tonic experimental pain, consisting of six minutes of contact heat applied to the leg via a thermode. Two stimuli above pain threshold, one at pain threshold and two non-painful stimuli were administered. Thirty-six healthy participants provided a subjective pain rating during thermal stimulation. Relative EEG power was calculated for the frequency bands alpha1, alpha2, beta1, beta2, delta, and theta.

Results: Whereas EEG activity could not be predicted by stimulus intensity (except in one frequency band), subjective pain sensation could significantly predict differences in EEG activity in several frequency bands. An increase in the subjective pain sensation was associated with a decrease in alpha2, beta1, beta2 as well as in theta activity across the midline electrodes.

Conclusion: The subjective experience of pain seems to capture unique variance in EEG activity above and beyond what is captured by noxious stimulus intensity.     

Effect of Staphylococcal Enterotoxin B on the Electroencephalogram of Monkeys

A highly purified preparation of staphylococcal enterotoxin B was administered intravenously, 1 mg/kg, to rhesus monkeys. Electroencephalograms (EEG) were recorded from electrodes attached to the skin or implanted on the dura. The dose of toxin employed consistently produced a sequence of vascular collapse followed by death; in control studies, animals were bled periodically to produce a similar pattern of shock. Regardless of the time to death following administration of the enterotoxin, there were essentially no changes from base line EEG patterns until shortly before death. With the development of preterminal severe shock, there was a marked decrease in EEG wave frequency and an initial increase in amplitude. The latter diminished progressively to produce an isoelectric tracing immediately prior to death. This could be reversed for a brief period by epinephrine. An identical sequence of EEG changes was observed during the terminal period of hemorrhagic shock. It is postulated that cerebral anoxia, caused by inadequate blood flow, is the primary cause of the altered EEG patterns that accompany enterotoxin toxicity. In this respect, staphylococcal enterotoxin B produces changes apparently similar to bacterial endotoxin but distinctly different from the EEG effects reported after botulinum toxin, anthrax toxin, or rattlesnake and cobra venom.     

Comparison of Different Methods for the Evaluation of Treatment Effects from the Sleep EEG of Patients with Major Depression

In healthy subjects, sleep has a typical structure of three to five cyclic transitions between different sleep states. In major depression, this regular pattern is often destroyed but can be reestablished during successful treatment. The differences between healthy and abnormal sleep are generally assessed in a time-consuming process, which consists of determining the nightly variations of the sleep states (the hypnogram) based on visual inspection of the electroencephalogram (EEG), electrooculogram, and electromyogram. In this study, three different methods of sleep EEG analysis (spectrum, outlier, and recurrence analysis) have been examined with regard to their ability to extract information about treatment effects in patients with major depression. Our data suggest that improved sleep patterns during treatment with antidepressant medication can be identified with an appropriate analysis of the EEG. By comparing different methods, we have found that many treatment effects identified by spectrum analysis can be reproduced by the much simpler technique of outlier analysis. Finally, the cyclic structure of sleep and its modification by antidepressant treatment is best illustrated by a non-linear approach, the so-called recurrence method.     

Genuine and Spurious Phase Synchronization Strengths during Consciousness and General Anesthesia

Spectral content in a physiological dataset of finite size has the potential to produce spurious measures of coherence. This is especially true for electroencephalography (EEG) during general anesthesia because of the significant alteration of the power spectrum. In this study we quantitatively evaluated the genuine and spurious phase synchronization strength (PSS) of EEG during consciousness, general anesthesia, and recovery. A computational approach based on the randomized data method was used for evaluating genuine and spurious PSS. The validity of the method was tested with a simulated dataset. We applied this method to the EEG of normal subjects undergoing general anesthesia and investigated the finite size effects of EEG references, data length and spectral content on phase synchronization. The most influential factor for genuine PSS was the type of EEG reference; the most influential factor for spurious PSS was the spectral content. Genuine and spurious PSS showed characteristic temporal patterns for each frequency band across consciousness and anesthesia. Simultaneous measurement of both genuine and spurious PSS during general anesthesia is necessary in order to avoid incorrect interpretations regarding states of consciousness.     

Alpha-bursts and K-complex: phasic activation pattern during spontaneous recovery of correct psychomotor performance at difference stages of drowsiness

It is known that phasic activation processes reveal themselves by different electrophysiological patterns depending on the sleep depth. Alpha bursts are an electrophysiological manifestation of arousal at the initial stage of sleep, whereas at the II stage K-complex becomes the main arousal pattern. We have shown earlier that during light drowsiness spontaneous recovery of correct psychomotor test performance (after an error) by a sitting subject is accompanied by EEG alpha bursts. The aim of this work was to study the EEG phasic activation pattern at deeper drowsiness during test performance by a subject in a lying position. Subjects had to press sensitive button in a lying position with closed eyes with self-paced oral counting of pressings. The experiment lasted for 40 min; EEG, EOG, and button pressing were recorded. It was shown that recovery of correct performance after errors at deeper drowsiness was accompanied by two types of EEG phasic activation patterns (PAP-1 and PAP-2). The alpha frequency component was always present in both PAP-1 and PAP-2. PAP-1 were observed at early stages of drowsiness and consisted of high-amplitude alpha bursts and EEG activity of higher frequency. PAP-2 were recorded at deeper stages and consisted of K-complexes with superposition of PAP-1. At first (medium level of drowsiness) the alpha bursts were superposed on the late slow K-complex components. With further deepening of drowsiness the early fast components of K-complex were also observed. The early appearance of K-complex during test performance at drowsiness seems to be associated with the urgent run of brain arousal systems, which at spontaneous falling asleep are in operation at the II sleep stage.     

Continuous changes in electroencephalographic topograms and auditory reaction time during simulated 21 ATA (atmospheres absolute) heliox saturation dives

The present study was designed to investigate EEG changes during two simulated 21 ATA hyperbaric heliox saturation dives. Four professional male divers were attached to 13 electrodes over the scalp and compressed to 21 ATA by helium. Throughout the dives, EEGs were measured and stored on a magnetic FM tape recorder to calculate electroencephalographic topograms. Three patterns of slow wave increase were clearly distinguished by the electroencephalographic topogram during compression. The first pattern was caused by trains or bursts of theta waves which spread from the frontal region to the central region of the scalp. This pattern occurred at comparatively shallow depth and showed the slowest recovery during the bottom stage among three patterns. The second pattern found in two divers was caused by frontal midline theta bursts, which showed maximum activity at F2. The frontal midline theta bursts were augmented by a reaction time task. The third pattern was caused by vertex sharp waves which indicated a transition from sleep stage 1 to sleep stage 2. Neurophysiological meanings of these EEG patterns as well as the relationship between EEG changes and other indices were discussed.     

Genetic control of ethanol action on the central nervous system

Summary The purpose of the investigation is to clarify the genetic contribution to the interindividual variability of ethanol action on the central nervous system. The 52 adult male healthy twin pairs (26 MZ, 26 DZ) got 1.2 ml/kg ethanol p.o. under standardized conditions; furthermore, 13 non-twin subjects were repeatedly subjected to the same procedure in order to test the intraindividual variability. The EEG was recorded before and 60, 120, 180, and 240 min after alcohol intake. The EEGs were off-line analyzed by means of a computer program for time domain analysis. As was already known, on the average alcohol led to a better synchronisation of the EEG, i.e., the number of beta-waves decreased whereas the number of alpha- and theta-waves increased. The extent of the alcohol effect on the EEG varied enormously between individuals; however, the EEGs of MZ twins proved to react indentically to alcohol loading, whereas the EEGs of DZ twins became more dissimilar during the course of the experiment. The low-voltage EEG presumably is resistant to alcohol; furthermore, it is supposed that there exists a special beta-prone EEG-type which is also genetic in origin. The identical EEG reaction of MZ twins to alcohol loading could not be attributed to more similar blood alcohol concentrations. It is hypothesized that the differences in the extent of the alcohol effect on the EEG between individuals might reflect differences in the sensitivity of the ascending reticular activating system. In the literature it has frequently been reported that alcoholics have preferentially brain wave patterns which are poorly synchronized. These findings are discussed in the light of the present results.     

A study on the best order for autoregressive EEG modelling

The autoregressive (AR) model is a widely used tool in electroencephalogram (EEG) analysis. The dependence of the AR model on both the segment length and several characteristic EEG patterns is addressed. The best AR model order is computed with three different criteria. The results show that the Rissanen criteria provides the more consistent order estimate for the EEG patterns considered. This study shows that for our data set, a 5th order AR model represents adequately 1- or 2-s EEG segments with the exception of featureless background, where higher order models are necessary.     

Impairment of space-frequency parameters of EEG coherence during cognitive performance (consequences of Chernobyl accident)

Changes in frequency and space parameters of the EEG coherence evoked by cognitive performance were analyzed in 13 healthy subjects and participants of the Chemobyl clean-up. In healthy subjects, the EEG coherences in the alpha and beta frequency bands were significantly increased during arithmetic count and during visuospatial performance. Each test was characterized by regionally-specific features. Chemobyl patients demonstrated a global decrease in the EEG coherence predominantly in the alpha and beta frequency bands, especially in the frontal cortical areas. Patients with various pathological EEG patterns demonstrated specific impairment of EEG parameters. In patients with a "flat" EEG pattern, the EEG coherence predominantly decreased in the frontal associative areas, especially during arithmetic calculation. In patients with a "hypersynchronous" EEG pattern, the decrease in the EEG coherence was most pronounced in the parietal associative areas, especially during the visuospatial performance. The revealed impairments of the EEG coherence reactivity may be a reflection of disorders of the intracortical and corticosubcortical interaction and can result from the remote postradiation brain atrophy, especially, of cortical structures.