Time course and development of electro-clinical features in relation to pentylenetetrazol thresholds in monkeys with focal seizures.

Seizure manifestations occurred concurrently with significantly increased focal EEG abnormalities and significantly lowered pentylenetetrazol thresholds in monkeys, 69 ± 2 days following standardized aluminium hydeoxide injections into motor cortical sites in both hemispheres. Seizure occurence, chemical threshold and EEG changes tended to stabilize after 145 ± 5 days. Onset of epileptic changes occured significantly faster in monkeys with motor cortical foci in both hemispheres rather than in those with unilateral foci. Focal EEG changes, viz. spike density, was inversely correlated with pentylenetetrazol thresholds to a highly significant extent.     

Delta9-tetrahydrocannabinol: subcortical spike bursts and motor manifestations in a Fischer rat treated orally for 109 days

A total of 12 Fischer rats was prepared surgically for chronic EEG recording from cortical and subcortical sites. Most rats, within 2 to 9 weeks after electrode implantation, developed polyspike activity in cortical and subcortical recordings that were without motor manifestations. Six of these rats, chronically treated po with Δ⁹-tetrahydrocannabinol (Δ⁹-THC) 10 mg/kg exhibited acute EEG changes with more frequent occurrence of EEG desynchronization and polyspike activity. On day 109 one of 6 rats displayed consulsive activity, with jerky movements of the head and paws, characteristics of Δ⁹-THC neurotoxicity. EEG alterations concomitant with motor signs included bursts of spikes of approximately 0.2 sec that occurred in subcortical, but not in cortical, recordings. It is concluded that in the Fischer rat acute and chronic treatment with Δ⁹-THC facilitated the occurrence of surgically-induced “polyspike” activity while chronic treatment caused occasional transient subcortical spike bursts with concomitant motor manifestations.     

Spectral-correlative characteristics of the EEG reactions preceding conditioned reflex motor reactions in dogs

The work is a logical continuation of previous studies (analysis of the background electrical activity in the band 1-100 Hz in interstimulus intervals in the process of lever pressing alimentary conditioning in dogs) and it is dedicated to correlation-spectral analysis of prestimulus periods and EEG-reactions to conditioned stimuli, previous to conditioned lever pressing. Visually the EEG reactions present discharges of high-frequency (40-100 Hz) synchronized activity preceding for 40-300 ms the beginning of the changes in EMG of the "working" limb. It is shown that EEG reactions are characterized (in comparison with the background activity) by a higher energetic level and a greater expression of the high coherence (I greater than 0.75) and also by greater phase shifts, in counterbalance to the domination of little phase shifts in the background activity. It is assumed that the patterns of EEG reactions may participate in trigger mechanisms either eliciting conditioned motor reactions (to positive conditioned stimuli) or preventing them (to inhibitory conditioned stimuli).     

Organization of neocortical neuronal networks

Multiple unit activity in deep layers of the frontal and motor cortices was recorded by chronically implanted semimicroelectrodes in waking cats with different levels of food motivation. From four to seven neuronal spike trains were selected from the recorded multiunit activity. Interactions between neighbouring neurons in the motor and frontal areas of the neocortex (within the local neuronal networks) and between the neurons of these areas (distributed neuronal networks) were estimated by means of statistical crosscorrelation analysis of spike trains within the range of delays from 0 to 100 ms. Neurons in the local networks were divided in two subgroups: the neurons with higher spike amplitudes with the dominance of divergent connections and neurons with lower spike amplitudes with the dominance of convergent connections. Strong monosynaptic connections (discharges with a delay of less than 2 ms) between the neurons with high- and low-amplitude spikes formed the background of the local networks. Connections between low-amplitude neurons in the frontal cortex and high-amplitude neurons in the motor cortex dominated in the distributed networks. A 24-hour food deprivation predominantly altered the late interneuronal crosscorrelations with time delays within the range of 2-100 ms in both local and distributed networks.     

A computer analysis of EEG intersignal reactions during the the acquisition of conditioned motor-food reflexes in dogs]

Background electric activity was studied of different neocortex areas in interstimulus intervals at the stage of generalization during elaboration of motor alimentary conditioned reflexes in dogs. For this stage the appearance is typical of short-term (0.1-0.3 s) packs of high frequencies (above 40 osc./s) significantly exceeding the adjacent initial background by frequency and amplitude (along side with motor interstimulus reactions). The index of specific variation, elaborated by us, allowed to single out this EEG pattern in the initial realizations of the background activity during their input in the computer. With the purpose of further evaluation of the above phenomenon parameters non-standard approaches of computer analyses were used, directed to decomposition of the EEG curve into the system of oscillations and receipt of corresponding amplitudes frequencies distributions (maps). It was shown, the described high frequencies packs were localized on these maps in definite sufficiently compact places.     

The comparative roles of acetylcholine and noradrenaline in regulation of spontaneous spike activity of cortical neurons

The effects of acetylcholine and noradrenaline applications on neuronal sponta-neous activity were investigated in slices of guinea-pig parietal cortex. Iontophoretic ejections of both neurotransmitters to the cortical neurons evoked the same-type slowly-developing and long-lasting increase in the rate of spike activity. The different temperature sensitivity of cholinergic and noradrenergic reactions were revealed. During the temperature shift from 32-34 degrees C to 35-36 degrees C the cholinergic effect on neuronal spike activity became extremely strong, that is why even silent at t = 32-32 degrees C neurons became to acetylcholine responsive. Temperature-dependent changes in spike reaction to acetylcholine were accompanied by stable increase in spontaneous spike activity. The noradrenergic reactions did not change with temperature in limits from 32-34 to 35-36 degrees C. In this temperature range spike reactions to glutamate, the main excitation transmitter in the cortex, remained constant. The results obtained suggest that acetylcholine is the main neurotransmitter regulating spontaneous spike activity in cortical neurons.     

The theta modulation of rabbit hippocampal neurons and its correlation with other indices of spontaneous and evoked activity]

Reliability of the existing functional criteria for differentiation of pyramidal ("complex spike neurones") and inhibitory ("theta neurones") cells in the hippocampus of waking rabbit is evaluated on the basis of statistical analysis of neuronal spontaneous and evoked activity. The analysis shows, that the criteria of mean frequency, presence of theta modulation, neuronal behaviour in situations provoking EEG theta rhythm (e.g., excitation or inhibition during presentation of sensory stimuli), effects of medial septum and intrahippocampal stimulation do not permit reliable identification of the hippocampal neuronal types in the waking rabbit. The data on functional classification of the hippocampal neurones are discussed in connection with existing suggestions about their state in situations inducing theta rhythm generation.     

From Oscillatory Transcranial Current Stimulation to Scalp EEG Changes: A Biophysical and Physiological Modeling Study

Both biophysical and neurophysiological aspects need to be considered to assess the impact of electric fields induced by transcranial current stimulation (tCS) on the cerebral cortex and the subsequent effects occurring on scalp EEG. The objective of this work was to elaborate a global model allowing for the simulation of scalp EEG signals under tCS. In our integrated modeling approach, realistic meshes of the head tissues and of the stimulation electrodes were first built to map the generated electric field distribution on the cortical surface. Secondly, source activities at various cortical macro-regions were generated by means of a computational model of neuronal populations. The model parameters were adjusted so that populations generated an oscillating activity around 10 Hz resembling typical EEG alpha activity. In order to account for tCS effects and following current biophysical models, the calculated component of the electric field normal to the cortex was used to locally influence the activity of neuronal populations. Lastly, EEG under both spontaneous and tACS-stimulated (transcranial sinunoidal tCS from 4 to 16 Hz) brain activity was simulated at the level of scalp electrodes by solving the forward problem in the aforementioned realistic head model. Under the 10 Hz-tACS condition, a significant increase in alpha power occurred in simulated scalp EEG signals as compared to the no-stimulation condition. This increase involved most channels bilaterally, was more pronounced on posterior electrodes and was only significant for tACS frequencies from 8 to 12 Hz. The immediate effects of tACS in the model agreed with the post-tACS results previously reported in real subjects. Moreover, additional information was also brought by the model at other electrode positions or stimulation frequency. This suggests that our modeling approach can be used to compare, interpret and predict changes occurring on EEG with respect to parameters used in specific stimulation configurations.     

Definitions of state variables and state space for brain–computer interface

The hypothesis is proposed that the central dynamics of the action–perception cycle has five steps: emergence from an existing macroscopic brain state of a pattern that predicts a future goal state; selection of a mesoscopic frame for action control; execution of a limb trajectory by microscopic spike activity; modification of microscopic cortical spike activity by sensory inputs; construction of mesoscopic perceptual patterns; and integration of a new macroscopic brain state. The basis is the circular causality between microscopic entities (neurons) and the mesoscopic and macroscopic entities (populations) self-organized by axosynaptic interactions. Self-organization of neural activity is bidirectional in all cortices. Upwardly the organization of mesoscopic percepts from microscopic spike input predominates in primary sensory areas. Downwardly the organization of spike outputs that direct specific limb movements is by mesoscopic fields constituting plans to achieve predicted goals. The mesoscopic fields in sensory and motor cortices emerge as frames within macroscopic activity. Part 1 describes the action–perception cycle and its derivative reflex arc qualitatively. Part 2 describes the perceptual limb of the arc from microscopic MSA to mesoscopic wave packets, and from these to macroscopic EEG and global ECoG fields that express experience-dependent knowledge in successive states. These macroscopic states are conceived to embed and control mesoscopic frames in premotor and motor cortices that are observed in local ECoG and LFP of frontoparietal areas. The fields sampled by ECoG and LFP are conceived as local patterns of neural activity in which trajectories of multiple spike activities (MSA) emerge that control limb movements. Mesoscopic frames are located by use of the analytic signal from the Hilbert transform after band pass filtering. The state variables in frames are measured to construct feature vectors by which to describe and classify frame patterns. Evidence is cited to justify use of linear analysis. The aim of the review is to enable researchers to conceive and identify goal-oriented states in brain activity for use as commands, in order to relegate the details of execution to adaptive control devices outside the brain. http://sulcus.berkeley.edu     

Functional organization of local neuronal networks in the cat neocortex. Dependence on the food motivation

The multiple unit activity (MUA) from clusters of adjacent neurones in deep layers of the frontal and motor cortex was recorded in alert cats with different levels of alimentary motivation. Up to 7 spike trains were selected from the MUA. Neurones in the local circuits could be divided into 2 groups: large neurones with prevailing divergent characteristics, and small neurones with prevailing convergent characteristics. A 24-hour food deprivation altered the cross-correlation interneuronal connections with a time delay within the range of 2 to 100 ms.     

The dynamics of the parameters of central nervous activation as a correlate of the motor image

EEG changes were studied in the case of real movements (wrestlers training) and also in the case of imagination of motor activity (ideomotor training). Statistically significant increases were found of the average frequency of oscillations in the EEG alpha-range and simultaneously typical vegetative changes. Thus, imagination of motor activity may serve as a model for studying the CNS activation processes in connection with the realization of real motor activity.     

Role of Acetylcholine in the Modulation of Activity of Neocortical Neurons in Awake Animals Performing an Instrumental Conditioned Reflex

We studied modulatory effects of the cholinergic system on the activity of sensorimotor cortex neurons related to realization of an instrumental conditioned placing reflex. Experiments were carried out on awake cats; multibarrel glass microelectrodes were used for extracellular recording of impulse activity of neurons in the sensorimotor cortex and iontophoretic application of synaptically active agents within the recording region. The background and reflex-related activity was recorded in the course of realization of conditioned movements, and then changes of spiking induced by applications of the testing substances were examined. Applications of acetylcholine and carbachol resulted in increases in the intensity of impulse reactions of neocortical neurons evoked by presentation of an acoustic signal and in simultaneous shortening of the response latencies. An agonist of muscarinic receptors, pylocarpine, exerted a similar effect on the evoked activity of sensorimotor cortex neurons. Blockers of muscarinic receptors, atropine and scopolamine, vice versa, sharply suppressed impulse reactions of cortical neurons to afferent stimulation and simultaneously increased latencies of these responses. Applications of an agonist of nicotinic receptors, nicotine, was accompanied by suppression of impulse neuronal responses, an increase in the latency of spike reactions to presentation of a sound signal, and a corresponding increase in the latency of a conditioned motor reaction. In contrast, application of an antagonist of nicotinic receptors, tubocurarine, significantly intensified neuronal spike responses and shortened their latency. The mechanisms underlying the effects of antagonists of membrane muscarinic and nicotinic cholinoreceptors and the role of activation of these receptors in the modulation of activity of pyramidal and non-pyramidal neocortical neurons related to realization of the instrumental motor reflex are discussed.     

Functional regional asymmetry of the EEG intrahemispheric coherence in dogs during conditioning

Individual features of the regional interhemispheric relations in the brain were studied in dogs during alimentary conditioning. The electrical activity was recorded from symmetrical anterior (frontal and motor cortices) and posterior (visual and auditory cortices) areas of the neocortex. Comparison between the averaged left and right intrahemispheric EEG coherences revealed a dynamic character of interhemispheric relations dependent on the stage of conditioning. Individual features were shown. In a dog with strong type of the nervous system, in the anterior brain regions, the EEG coherence was higher in the left hemisphere than in the right one, whereas, on the contrary, in the posterior regions, the values were higher in the right than in the left hemisphere. In dogs with weak type of the nervous system, there was an inverse relationship. Thus, the spatial organization of the cortical electrical activity in the associative and projection brain areas was different.     

Inferring Neuronal Dynamics from Calcium Imaging Data Using Biophysical Models and Bayesian Inference

Calcium imaging has been used as a promising technique to monitor the dynamic activity of neuronal populations. However, the calcium trace is temporally smeared which restricts the extraction of quantities of interest such as spike trains of individual neurons. To address this issue, spike reconstruction algorithms have been introduced. One limitation of such reconstructions is that the underlying models are not informed about the biophysics of spike and burst generations. Such existing prior knowledge might be useful for constraining the possible solutions of spikes. Here we describe, in a novel Bayesian approach, how principled knowledge about neuronal dynamics can be employed to infer biophysical variables and parameters from fluorescence traces. By using both synthetic and in vitro recorded fluorescence traces, we demonstrate that the new approach is able to reconstruct different repetitive spiking and/or bursting patterns with accurate single spike resolution. Furthermore, we show that the high inference precision of the new approach is preserved even if the fluorescence trace is rather noisy or if the fluorescence transients show slow rise kinetics lasting several hundred milliseconds, and inhomogeneous rise and decay times. In addition, we discuss the use of the new approach for inferring parameter changes, e.g. due to a pharmacological intervention, as well as for inferring complex characteristics of immature neuronal circuits.     

Estimation of neuronal population activity changes in rat cerebellum using one electrode

Activity of neuronal populations is usually measured with multielectrode systems. In this paper a procedure is described for estimating population activity changes in rat cerebellar cortex, using one microelectrode. Signals consisted of simple, complex spikes and interspike recorded background activity (RBA). After their separation, simple spikes were averaged, forming a simple spike template (SST). The remaining RBA was simulated (SBA), by superimposing SST waveforms with random time delays and intensities. A series of SBA was formed, differing in the superposition frequency (f(sup)) of individual SST. Mean amplitude spectra (Amp(SBA)) were calculated and Amp(SBA)=f(f(sup)) treated as a calibration line for estimating activity level of the surrounding neuronal population. Since the uniform probability distribution of SST intensities proved inadequate, we derived a new one, based on the power function for spike intensity vs. electrode distance attenuation. A family of new lines emerged, depending on the model parameters. Since all were linear in the log-log plots, with slopes not varying significantly, we proposed a method for estimating population activity changes in different experimental conditions, using two measured values of Amp(RBA). Relative nature of the results makes this method suitable for comparative studies.     

Nonlinear Relationships in the Patterns of Neuronal Spiking in Cortical Neurons

The pattern of neuronal spiking of cortical neurons was investigated in an awake nonimmobilized rabbit. Thecharacteristics of the interspike intervals (total numberof intervals, mean interval, mean-square deviation) and of the burst (group) activity (burst number, mean spikefrequency in a burst, mean spike number for a burst, meanburst duration) were considered. Nonlinear relationshipbetween the values of mean interspike intervals and thenumber of spike bursts was found. A number of functionswere applied to describe the observed phenomena. On thebasis of regression analysis two populations of corticalneurons with distinct neuronal spiking patterns wereidentified. Bursts occur at a higher rate in one populationthan the other, although both populations exhibit burstsand are otherwise indistinguishable.     

EEG-correlates of alimentary behavior in rabbits with different levels of hunger and satiety]

The electrical activity of the rabbit brain at different stages of hunger and satiation was correlated with the animal's behavioral reactions. It has been found that alimentary reactions are attended with the appearance of complex high-amplitude and high-frequency electrical potentials in the lateral hypothalamic area, which increased with the longer duration of the animal's hunger, as well as during search, in response to natural and conditioned alimentary stimuli, and when feeding. As satiation sets in, they fade and disappear after food refusal. It is assumed that this form of activity is an EEG expression of alimentary motivational excitation. Its constituent rhythms reflect the different components of alimentary excitation.     

Physiology-based modeling of cortical auditory evoked potentials

Evoked potentials are the transient electrical responses caused by changes in the brain following stimuli. This work uses a physiology-based continuum model of neuronal activity in the human brain to calculate theoretical cortical auditory evoked potentials (CAEPs) from the model’s linearized response. These are fitted to experimental data, allowing the fitted parameters to be related to brain physiology. This approach yields excellent fits to CAEP data, which can then be compared to fits of EEG spectra. It is shown that the differences between resting eyes-open EEG and standard CAEPs can be explained by changes in the physiology of populations of neurons in corticothalamic pathways, with notable similarities to certain aspects of slow-wave sleep. This pilot study demonstrates the ability of our model-based fitting method to provide information on the underlying physiology of the brain that is not available using standard methods.     

A glimpse of the brain transforming a sensory signal into a motor response

Averages were made of neuronal spike activity recorded successively from eight relay regions along the auditorimotor pathway of naive cats and cats conditioned to blink in response to a 70 dB click conditioned stimulus (CS). It was hypothesized that the patterns of activity could be distinguished as sensory or motor by differences in their relationship to the pattern of the acoustic CS vs that of the conditioned response (CR). If so, it was also hypothesized that the acoustic stimulus would be better expressed at early auditorimotor relays and the motor response at later relays along the pathway. To test these hypotheses, Pearson correlation coefficients were calculated between the mean patterns of unit activity at each of the auditorimotor relays and (1) the rectified sound pattern of the CS and (2) the averaged, rectified electromyographic (EMG) activity of the muscles (orbicularis oculis) that produced the CR. In both naive and conditioned cats, there were significant positive correlations between the patterns of spike activity and the sound at early relays along the auditorimotor pathway such as the cochlear nucleus and inferior colliculus. In the conditioned animals, the spike activity of later nuclei in the auditorimotor pathway, such as the rostral thalamus and the motor cortex, had the highest positive correlations with the motor response. These correlations were low in the naive animals. Thus, the mean patterns of spike activity along the auditorimotor pathway appeared to distinguish the sound from the motor response and provided a glimpse of the process supporting transformation of the CS into the incipient CR.     

A glimpse of the brain transforming a sensory signal into a motor response

Averages were made of neuronal spike activity recorded successively from eight relay regions along the auditorimotor pathway of naive cats and cats conditioned to blink in response to a 70 dB click conditioned stimulus (CS). It was hypothesized that the patterns of activity could be distinguished as sensory or motor by differences in their relationship to the pattern of the acoustic CS vs that of the conditioned response (CR). If so, it was also hypothesized that the acoustic stimulus would be better expressed at early auditorimotor relays and the motor response at later relays along the pathway. To test these hypotheses, Pearson correlation coefficients were calculated between the mean patterns of unit activity at each of the auditorimotor relays and (1) the rectified sound pattern of the CS and (2) the averaged, rectified electromyographic (EMG) activity of the muscles (orbicularis oculis) that produced the CR. In both naive and conditioned cats, there were significant positive correlations between the patterns of spike activity and the sound at early relays along the auditorimotor pathway such as the cochlear nucleus and inferior colliculus. In the conditioned animals, the spike activity of later nuclei in the auditorimotor pathway, such as the rostral thalamus and the motor cortex, had the highest positive correlations with the motor response. These correlations were low in the naive animals. Thus, the mean patterns of spike activity along the auditorimotor pathway appeared to distinguish the sound from the motor response and provided a glimpse of the process supporting transformation of the CS into the incipient CR.