Investigating the effects of opioid drugs on electrocortical activity using wavelet transform

 Fetal electrocortical activity (ECoG) is characterized by two distinct patterns: HVSA (high voltage, slow activity) and LVFA (low voltage, fast activity). Using the wavelet transform (WT), we recently reported that the frequency characteristics of these two ECoG patterns undergo significant maturational changes prior to birth (Akay et al. 1994a). We now report that fetal ECoG can also be significantly affected by pharmacological agents. In this paper, we compared the effects of two opioid drugs (morphine and [D-Pen², D-Pen⁵]enkephalin, DPDPE) on fetal ECoG, using the chronically instrumented fetal lamb model. Morphine was infused intravenously (i.v.) at 2.5 mg/h, while DPDPE was infused into the lateral cerebroventricle (i.c.v.) at 30 μg/h. The ECoG was analyzed using WT. We performed multiresolution decomposition for four sets of parameters D _{2 j} where −1<j<−4. The four series WTs represent the detail signal bandwidths: (1) 16–32 Hz, (2) 8–16 Hz, (3) 4–8 Hz, (4) 2–4 Hz. The data were subjected to statistical analysis using the Kolmogorov–Smirnov (KS) test. Both morphine and DPDPE resulted in a significant increase in power in the first wavelet band, while power was reduced in the second, third and fourth wavelet bands. In addition, both drugs resulted in a disruption of the normal cyclic pattern between the two ECoG patterns. There was a difference in the time course of action between morphine and DPDPE. This is the first occasion in which continuous ECoG has been subjected to rigorous statistical analysis. The results suggest that the WT-KS method is most suitable for quantitating changes in the ECoG induced by pharmacological agents. Received: 21 January 1994/Accepted in revised form: 15 September 1994     

Prediction of Three-Dimensional Arm Trajectories Based on ECoG Signals Recorded from Human Sensorimotor Cortex

Brain-machine interface techniques have been applied in a number of studies to control neuromotor prostheses and for neurorehabilitation in the hopes of providing a means to restore lost motor function. Electrocorticography (ECoG) has seen recent use in this regard because it offers a higher spatiotemporal resolution than non-invasive EEG and is less invasive than intracortical microelectrodes. Although several studies have already succeeded in the inference of computer cursor trajectories and finger flexions using human ECoG signals, precise three-dimensional (3D) trajectory reconstruction for a human limb from ECoG has not yet been achieved. In this study, we predicted 3D arm trajectories in time series from ECoG signals in humans using a novel preprocessing method and a sparse linear regression. Average Pearson’s correlation coefficients and normalized root-mean-square errors between predicted and actual trajectories were 0.44∼0.73 and 0.18∼0.42, respectively, confirming the feasibility of predicting 3D arm trajectories from ECoG. We foresee this method contributing to future advancements in neuroprosthesis and neurorehabilitation technology.     

自由活动大鼠睡眠状态和呼吸节律的同步监测方法

目的:设计一种睡眠呼吸暂停综合征动物模型的监测方法.方法:通过多导生理仪同步监测自由活动大鼠6 h生理睡眠时间的皮层脑电、颈部肌电,以及呼吸波形.并用人机交互的方法进行数据处理.结果:监测信号稳定、清晰易辨,根据记录到的信号可进行不同清醒-睡眠状态分期,并判断大鼠的呼吸暂停情况.结论:该法操作简便,是小动物睡眠和呼吸监测的可靠方法.     

Autonomic control of heart rate differs with electrocortical activity and chronic hypoxaemia in fetal lambs

We aimed to determine the effects of the electrocortical (ECoG) cycle on fetal heart rate and its autonomic control under normoxaemic and hypoxaemic conditions. Heart rate was measured and selective pharmacological blockade was used to quantify sympathetic and parasympathetic tone in low voltage (LV) and high voltage (HV) ECoG. We studied 3 groups of fetal lambs: 6 normal-sized, normoxaemic fetuses (control); 5 growth-retarded, normoxaemic carunclectomy fetuses (carunclectomy-normoxaemic); and 5 growth-retarded, hypoxaemic carunclectomy fetuses (carunclectomy-hypoxaemic). We found slower heart rate in LV compared to HV ECoG in all groups. This was explained by greater parasympathetic tone in LV in all groups, and by a complementary change of sympathetic tone in control fetuses. Hypoxaemic fetuses had slower heart rate than normoxaemic fetuses in both ECoG states. This was due to augmented parasympathetic tone (in LV ECoG) and reduced sympathetic tone (in LV and HV ECoG). We conclude that complementary changes of autonomic tone underly the normal variation of fetal heart rate with the ECoG cycle, with the parasympathetic arm dominant in LV and the sympathetic arm dominant in HV ECoG. In chronic hypoxaemia, complementary changes of autonomic tone contribute to slowing of fetal heart rate. Increased parasympathetic tone and decreased sympathetic tone may enhance cardiac efficiency when the oxygen supply is chronically reduced.     

Role of the Brainstem Reticular Formation in the Mechanisms of Cortical Electrogenesis

In rats, we studied peculiarities of the electrocorticogram (ECoG) and its segments characterized by synchronization and desynchronization phenomena; these periods were differentiated using a segmentation procedure. The electrocorticogram was recorded under conditions of the intact brain (IB) and in animals with the isolated forebrain (IFB) using intercollicular transection. When ECoG was recorded from IFB preparations, it differed from ECoG of the IB in decreased amplitudes of the rhythms and their reorganization with shifts of the frequency characteristics toward lower values, as well as in greater amplitudes of ECoG rhythms in the left hemisphere (lateralization of the ECoG activity toward this hemisphere). Significant differences of the indices of functional asymmetry were observed in the two examined experimental situations. Using calculations of multiple linear regression and subsequent visualization of the results using polycyclic multigraphs, we found a clear specificity in the formation of correlation links between the amplitudes of different ECoG rhythms under conditions of the IB and IFB preparation. We discuss the role of the brainstem structures, in particular that of the reticular formation, in the organization of integral ECoG activity and the possible importance of mutual influences between hypothetical generators of the ECoG rhythmus for this organization.Neirofiziologiya/Neurophysiology, Vol. 37, No. 1, pp. 39–51, January–February, 2005.     

Omega-3 effects on electrocorticographic patterns of adult Wistar rats exposed to ionizing radiation

This study aimed to assess the effect of supplementation with omega-3 in Wistar rats exposed to ionizing radiation in a dose of 18 Gy on the cortical electrical activity, using mathematical methods such as the power spectrum (PS) and the detrended fluctuation analysis (DFA) in the evaluation of the electrocorticogram (ECoG) record. The PS analysis showed that in non-irradiated animals but supplemented with omega-3 there was a decrease in the power of the beta rhythm, while the DFA applied to different frequency ranges of the ECoG showed a significant increase in the long-range correlation only for the theta wave when compared with non-supplemented animals. In the evaluation of the radiation effect through the PS, an increase in the power of the theta rhythm was observed in both groups (non-supplemented and supplemented animals) only when they were evaluated one week after irradiation. The DFA method also showed difference in this wave. The PS and DFA methods applied to the ECoG record allowed a quantitative analysis of the cortical electrical activity in rats in response to the omega-3 effects, ionizing radiation, or both.     

Behavioral states may be associated with distinct spatial patterns in electrocorticogram

To determine if behavioral states are associated with unique spatial electrocorticographic (ECoG) patterns, we obtained recordings with a microgrid electrode array applied to the cortical surface of a human subject. The array was constructed with the intent of extracting maximal spatial information by optimizing interelectrode distances. A 34-year-old patient with intractable epilepsy underwent intracranial ECoG monitoring after standard methods failed to reveal localization of seizures. During the 8-day period of invasive recording, in addition to standard clinical electrodes a square 1 × 1 cm microgrid array with 64 electrodes (1.25 mm separation) was placed on the right inferior temporal gyrus. Careful review of video recordings identified four extended naturalistic behaviors: reading, conversing on the telephone, looking at photographs, and face-to-face interactions. ECoG activity recorded with the microgrid that corresponded to these behaviors was collected and ECoG spatial patterns were analyzed. During periods of ECoG selected for analysis, no electrographic seizures or epileptiform patterns were present. Moments of maximal spatial variance are shown to cluster by behavior. Comparisons between conditions using a permutation test reveal significantly different spatial patterns for each behavior. We conclude that ECoG recordings obtained on the cortical surface with optimal high spatial frequency resolution reveal distinct local spatial patterns that reflect different behavioral states, and we predict that similar patterns will be found in many if not most cortical areas on which a microgrid is placed.     

Prediction of Hand Trajectory from Electrocorticography Signals in Primary Motor Cortex

Due to their potential as a control modality in brain-machine interfaces, electrocorticography (ECoG) has received much focus in recent years. Studies using ECoG have come out with success in such endeavors as classification of arm movements and natural grasp types, regression of arm trajectories in two and three dimensions, estimation of muscle activity time series and so on. However, there still remains considerable work to be done before a high performance ECoG-based neural prosthetic can be realized. In this study, we proposed an algorithm to decode hand trajectory from 15 and 32 channel ECoG signals recorded from primary motor cortex (M1) in two primates. To determine the most effective areas for prediction, we applied two electrode selection methods, one based on position relative to the central sulcus (CS) and another based on the electrodes'' individual prediction performance. The best coefficients of determination for decoding hand trajectory in the two monkeys were 0.4815±0.0167 and 0.7780±0.0164. Performance results from individual ECoG electrodes showed that those with higher performance were concentrated at the lateral areas and areas close to the CS. The results of prediction according with different numbers of electrodes based on proposed methods were also shown and discussed. These results also suggest that superior decoding performance can be achieved from a group of effective ECoG signals rather than an entire ECoG array.     

The effects of brain-stem section on the breathing and behavioural response to morphine in the fetal sheep

In the unanesthetized fetal sheep the administration of morphine causes initial apnoea followed by hyperpnoea. We thought that a section of the brain at midcollicular level might separate these two effects. Therefore we sectioned the brain stem of five fetuses at 132 +/- 1 (SEM) days of gestation and compared their responses to morphine (17 experiments) with that observed in seven intact fetuses at similar gestational ages (15 experiments). Brain stem sections were confirmed morphologically and histologically. Morphine, 1 mg/kg was injected in the fetal jugular vein during low-voltage electrocortical activity (ECoG). We measured ECoG, eye movements, diaphragmatic activity, blood pressure and amniotic pressure. Sectioned fetuses before the administration of morphine had a complete dissociation between ECoG and breathing activity. With the administration of morphine we found: (i) the length of the apnoea was 139.8 +/- 15.5 min in sectioned fetuses and 17.0 +/- 5.8 min in intact fetuses (P less than 0.01); and (ii) there was no hyperpneic response in the sectioned fetus whereas the length of hyperpnoea in the intact group was 99.1 +/- 11.8 min (P less than 0.001). The results support the idea of two central distinct areas of action of morphine in the fetal brain. The absence of hyperpnoea in the sectioned fetuses suggests that neurons inhibiting the 'respiratory neurons' are located rostrally to the mid-collicular line.     

Pulsatile oxytocin administered to ewes at 120 to 140 days gestational age increases the rate of maturation of the fetal electrocorticogram and nuchal activity.

Spontaneous, long lasting epochs of myometrial contractility, contractures, occur throughout the majority of pregnancy in sheep. Contractures are temporally related to a switch in fetal electroencephalogram (ECoG) patterns from low to high voltage. In late gestation, fetal ECoG increases in voltage. We have previously suggested that contractures may influence fetal ECoG maturation. In the present study, we hypothesized that a sustained increase in the frequency of myometrial contractures in pregnant sheep at 120-140 days gestation would accelerate maturation of the fetal ECoG. Five pregnant ewes were pulsed with oxytocin 600 microU.kg-1.min-1 intravenously for five minutes in every 30 minutes from 127.8 +/- 1.5 days gestational age for a minimum of six days. Six control ewes received pulses of saline. Fetuses of all eleven ewes were instrumented with bilateral electrodes to record fetal ECoG and nuchal muscle activity. Fetal high voltage (HV) ECoG increased in amplitude in both groups but the rate of increase was faster in the fetuses of ewes receiving oxytocin. There were no differences between the two groups in the duration of HV ECoG. The percentage increase in the amount of time the fetal nuchal muscles were active compared with the baseline day before infusion was only significant in the oxytocin infused group on the first day of oxytocin infusion. These findings support the hypothesis that myometrial activity during pregnancy has the capacity to influence fetal neural development.     

Prediction of Muscle Activities from Electrocorticograms in Primary Motor Cortex of Primates

Electrocorticography (ECoG) has drawn attention as an effective recording approach for brain-machine interfaces (BMI). Previous studies have succeeded in classifying movement intention and predicting hand trajectories from ECoG. Despite such successes, however, there still remains considerable work for the realization of ECoG-based BMIs as neuroprosthetics. We developed a method to predict multiple muscle activities from ECoG measurements. We also verified that ECoG signals are effective for predicting muscle activities in time varying series when performing sequential movements. ECoG signals were band-pass filtered into separate sensorimotor rhythm bands, z-score normalized, and smoothed with a Gaussian filter. We used sparse linear regression to find the best fit between frequency bands of ECoG and electromyographic activity. The best average correlation coefficient and the normalized root-mean-square error were 0.92±0.06 and 0.06±0.10, respectively, in the flexor digitorum profundus finger muscle. The δ (1.5∼4Hz) and γ2 (50∼90Hz) bands contributed significantly more strongly than other frequency bands (P<0.001). These results demonstrate the feasibility of predicting muscle activity from ECoG signals in an online fashion.     

Hypoxia and electrocortical activity in the fetal lamb: effects of brainstem transection and chemoreceptor denervation

In order to investigate possible mechanisms for the effect of hypoxia on fetal electrocortical (ECoG) activity, the effects of 30 min of isocapnic hypoxia on ECoG were studied in three groups of unanaesthetized late-gestation fetal lambs in utero. One group was intact, in the second the brainstem was transected between the colliculi, and in the third the carotid sinus nerves and cervical vagosympathetic trunks were cut bilaterally to denervate the systemic arterial chemoreceptors. The incidence of high voltage (HV) ECoG activity was lower in brainstem-transected fetuses than in the other groups. All three groups showed an increased number of changes from low to high voltage and an increase in the incidence of HV activity at the onset of hypoxia, but the increases reached statistical significance only in the brainstem-transected group. It is concluded that the onset of hypoxia is often associated with an increase in HV ECoG activity, with the most consistent changes occurring after brainstem transection and similar but smaller increases in intact and denervated fetuses. Thus the response of fetal electrocortical activity to the onset of hypoxia does not depend on intact connections with the lower brainstem. However, the effect of hypoxia on fetal ECoG is minor and inconsistent and may be physiologically unimportant.     

Aluminum induced encephalopathy in the rat

Aluminum tartrate (AlT) but not sodium tartrate (NaT) produces a progressive encephalopathy when injected intracerebroventricularly in the rat. This syndrome, lethal within 30-35 days, is characterized by progressively deranged behavior. An early startle reaction (day 14), later joined by locomotor discoordination (day 19) is followed by locomotor and electrocorticographic (ECoG) seizures (day 21) in chronically instrumented AlT rats. There is early dissociation between ECoG and locomotor aspects. When tested in the shuttlebox for estimation of learning and memory function 7-8 days after AlT injection, marked impairment of both active and passive avoidance was observed. Glucose uptake capacity of synaptosomes from brain areas of AlT and NaT animals was indexed by the 2-deoxy-D-glucose method. Striatal and cortical synaptosomes showed reduced uptake activity 7 days following AlT injection. By day 14, hypothalamic areas also became affected, striatal uptake was further inhibited, and cortical uptake was reduced to 57% of control. The ECoG background rhythm remained unchanged until days 20-23, when the mean peak frequency was reduced. The model may be useful in the study of central aluminum toxicity and may have predictive validity in the testing of procedures to counter aluminum-associated encephalopathies in man.     

Effects of neonatal undernutrition on the electrocortical development of the association areas in the rat

The electrocortical effects provoked by neonatal undernutrition and the environmental sensorial stimuli were studied in the cortical association areas of developing Wistar rats. When the interaction between these two factors was interfered (Experiment 1), the average frequency of the ECoG in the early starved rats was significantly increased than controls. Moreover, if these two factors were combined (Experiment 2) not significant differences in the ECoG average frequencies were observed. The data suggest that the maturation of cells underlying the ECoG in the association areas of the rat, requires not only an adequate supply of nutrients, but also the influence of sensory cues arising from the mother, littermates and the environmental surrounding.     

自由活动大鼠睡眠呼吸监测技术改进

目的：改进大鼠睡眠呼吸监测技术,解决既往模型中咬线、脱落、信号不稳定问题。方法：改进监测电极、信号接入线路及动物手术。结果：改进后手术时间缩短,创面暴露时间减少,大鼠术后易恢复。且电极稳固性好,脑电和肌电信号更稳定清晰,信号接入线路传导性好,耐用。实现连续长时间监测,成功率高。便于根据信号进行不同清醒一睡眠状态分期,并判断大鼠睡眠呼吸暂停情况。结论：改进后的操作技术操作更简单、信号更稳定,是一项更加实用可靠的小动物睡眠呼吸监测技术。     

Developmental changes in the complexity of the electrocortical activity in foetal sheep.

The foetal sheep brain develops organised sleep states from 115-120 d gestational age (dGA, term 150 dGA) alternating between REM and NREM sleep. We aimed to investigate whether maturation of REM or NREM sleep generating structures leads to the development of distinct sleep states. The electrocorticogram (ECoG) was recorded from five unanaesthetised chronically instrumented foetal sheep in utero and was analysed every 5th day between 115-130 dGA by two different non-linear methods. We calculated a non-linear prediction error which quantifies the causality of the ECoG and applied bispectral analysis which quantifies non-linear interrelations of single frequency components within the ECoG signal. The prediction error during REM sleep was significantly higher than during NREM sleep at each investigated age (P<0.0001) coincidental with poor organisation of the rhythmic pattern in the ECoG during REM sleep. At 115 dGA, organised sleep states defined behaviourally were not developed yet. The prediction error, however, showed already different states of electrocortical activity that were not detectable using power spectral analysis. The prediction error of the premature NREM sleep ECoG decreased significantly during emergence of organised sleep states between 115 and 120 dGA and continued to decrease after the emergence of distinct sleep states (P<0.05). The prediction error of the premature REM sleep ECoG did not change until 120 dGA and began to increase at 125 dGA (P<0.05). Using bispectral analysis, we showed couplings between delta waves (1.5-4 Hz) and frequencies in the range of spindle waves (4-8 and 8-12 Hz) during NREM sleep that became closer during development. The results show that maturation of ECoG synchronisation mediating structures is important for the development of organised sleep states. The further divergence of the prediction error of NREM and REM sleep after development of organised sleep states reveals continuous functional development. Thus, complementary application of non-linear ECoG analysis to power spectral analysis provide new insights in the collective behaviour of the neuronal network during the emergence of sleep states.     

Optimizing the Detection of Wakeful and Sleep-Like States for Future Electrocorticographic Brain Computer Interface Applications

Previous studies suggest stable and robust control of a brain-computer interface (BCI) can be achieved using electrocorticography (ECoG). Translation of this technology from the laboratory to the real world requires additional methods that allow users operate their ECoG-based BCI autonomously. In such an environment, users must be able to perform all tasks currently performed by the experimenter, including manually switching the BCI system on/off. Although a simple task, it can be challenging for target users (e.g., individuals with tetraplegia) due to severe motor disability. In this study, we present an automated and practical strategy to switch a BCI system on or off based on the cognitive state of the user. Using a logistic regression, we built probabilistic models that utilized sub-dural ECoG signals from humans to estimate in pseudo real-time whether a person is awake or in a sleep-like state, and subsequently, whether to turn a BCI system on or off. Furthermore, we constrained these models to identify the optimal anatomical and spectral parameters for delineating states. Other methods exist to differentiate wake and sleep states using ECoG, but none account for practical requirements of BCI application, such as minimizing the size of an ECoG implant and predicting states in real time. Our results demonstrate that, across 4 individuals, wakeful and sleep-like states can be classified with over 80% accuracy (up to 92%) in pseudo real-time using high gamma (70–110 Hz) band limited power from only 5 electrodes (platinum discs with a diameter of 2.3 mm) located above the precentral and posterior superior temporal gyrus.     

Evaluation of the Role of Chronic Daily Melatonin Administration and Pinealectomy on Penicillin-Induced Focal Epileptiform Activity and Spectral Analysis of ECoG in Rats: An In Vivo Electrophysiological Study

In the present study, we aimed to investigate the effects of pinealectomy and chronic melatonin administration on focal epileptiform activity induced by penicillin in the rat cortex and to determine the relation between melatonin levels and electrocorticogram (ECoG) power spectrum. For this purpose, male Sprague-Dawley rats were divided into six groups: control, sham operated, ethanol, melatonin, pinealectomy and pinealectomy + melatonin group. Melatonin-treated rats was intraperitoneally injected with a daily single dose of 10 mg/kg melatonin for 14 days, but the last dose was given 30 min after local application of penicillin as a convulsant agent. Focal epileptiform activity was produced by intracortical administration of penicillin (200 units/1 μl). While chronic melatonin application did not affect either the onset latency or the spike frequency of epileptiform activity, pinealectomy significantly reduced latency to onset of initial epileptiform discharges and increased cortical epileptiform activity. However, acute melatonin administration decreased the epileptiform activity. The results also indicated that exogenously applied melatonin did not change the spectral analysis of ECoG, but pinealectomy led to a reduction in the power of the fast bands (gamma) power in ECoG. We conclude that endogenous melatonin signaling seem to have a tonic inhibitory action on neuronal excitability and epileptiform activity, and also a certain concentration of melatonin required for normal cortical excitability.     

Simulated power spectral density (PSD) of background electrocorticogram (ECoG)

The ECoG background activity of cerebral cortex in states of rest and slow wave sleep resembles broadband noise. The power spectral density (PSD) then may often conform to a power-law distribution: a straight line in coordinates of log power vs. log frequency. The exponent, x, of the distribution, 1/f^x, ranges between 2 and 4. These findings are explained with a model of the neural source of the background activity in mutual excitation among pyramidal cells. The dendritic response of a population of interactive excitatory neurons to an impulse input is a rapid exponential rise and a slow exponential decay, which can be fitted with the sum of two exponential terms. When that function is convolved as the kernel with pulses from a Poisson process and summed, the resulting “brown” or “black noise conforms to the ECoG time series and the PSD in rest and sleep. The PSD slope is dependent on the rate of rise. The variation in the observed slope is attributed to variation in the level of the background activity that is homeostatically regulated by the refractory periods of the excitatory neurons. Departures in behavior from rest and sleep to action are accompanied by local peaks in the PSD, which manifest emergent nonrandom structure in the ECoG, and which prevent reliable estimation of the 1/f^x exponents in active states. We conclude that the resting ECoG truly is low-dimensional noise, and that the resting state is an optimal starting point for defining and measuring both artifactual and physiological structures emergent in the activated ECoG.     

6-OHDA 帕金森病大鼠快动眼睡眠状态下 皮层脑电及基底节场电位的异常变化

目的:了解帕金森病(PD)模型大鼠在快动眼睡眠状态下皮层脑电和基底节场电位的异常变化。方法:用6-羟基多巴胺(6-OHDA)脑内两点注射法建立PD大鼠模型,并经阿扑吗啡注射诱发旋转对模型进行评价。通过多导宏电极在体电生理记录技术结合视频录像,对正常大鼠和6-OHDA大鼠PD模型进行苍白球场电位和皮层M1、M2区脑电的多部位24小时同时记录。功率谱分析和相干分析用于揭示快动眼睡眠状态下各记录位点信号的频率成分以及不同记录位点神经元集群之间的变化。结果:与正常大鼠相比,6-OHDA帕金森病模型大鼠在REM期间的皮层脑电在θ和γ频段上都有变化:初级运动皮质M1区的θ频段成分消失,辅助运动区M2的θ频段成分略有增加,患侧苍白球的θ频段成分增大显著;M1区的γ频段成分增大,而γ频段成分在苍白球基本没有变化。结论:6-OHDA对中脑多巴胺能神经元的损害可造成大鼠双侧皮层M1区θ节律的消失和γ节律的增强,以及对侧M1-M2区之间在γ节律上的同步被显著增强,而γ节律在苍白球没有变化。这些异常电活动可能是由于VTA受损引起从而与帕金森病的快动眼睡眠行为障碍有关。