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Interhemispheric functional desynchronization in the human vibratory system.

We examined the differences in interhemispheric functional correlation in the somatosensory system using coherence (Coh) analysis. Ten healthy adult volunteers served as subjects for this experiment. Vibratory stimulation (modulation frequency, 21 Hz) was given to each palm to record vibratory steady-state somatosensory evoked potentials (S-SEPs). S-SEPs were recorded from four electrodes placed at 2 cm posterior and anterior to C3 and C4, referred to an electrode at Fpz, respectively. For comparison, unstimulated S-SEPs were also recorded. A total of 50 responses of 1-s epochs was averaged and subjected to discrete fast Fourier transforms to yield the amplitudes of major harmonic components and Coh value. The Coh value between the two signals, x and y at each frequency f, was calculated as [Coh(xy)(f)](2)=[S(xy)(f)](2)/[S(xx)(f)xS(yy)(f)]. The amplitude at 21 Hz in the contralateral somatosensory area was significantly larger than that in the other electrodes. The interhemispheric Coh of the somatosensory area at 21 Hz was significantly lower than that in the unstimulated condition or intrahemispheric Coh. The initial somatosensory information is desynchronized. These findings indicate less significance of interhemispheric correlation as the first step of the vibratory information processing in the somatosensory cortex.

Adult↗

Brainstem carbachol injections in the urethane anesthetized rat produce hippocampal theta rhythm and cortical desynchronization: a comparison of pedunculopontine tegmental versus nucleus pontis oralis injections.

Previous research has demonstrated that brainstem injections of acetylcholine agonists (e.g., carbachol) produced electrophysiological indicators of rapid-eye-movement (REM) sleep in the cat. Recent reports now indicate that this phenomenon may hold true for rats as well. Relatively few reports, however, have examined the effect of these injections on REM indicators in the anesthetized rat, a preparation useful for elucidating underlying neurobiological mechanisms controlling REM sleep processes. The present study compared the effect of injections of carbachol (5 micrograms in 250 nl) into the pedunculopontine tegmental nucleus (PPTg) or the nucleus pontis oralis (NPO) on two tonic indicators of REM sleep in the urethane-anesthetized rat. Namely, changes in the hippocampal EEG and in the cortical EEG. Carbachol injections into either site produced a change in both the hippocampal EEG and cortical EEG to a REM-like state at short latencies. The length of these changes (duration of effect), however, was site-dependent. Thus, PPTg carbachol injections induced significantly longer lasting effects in both the hippocampal and cortical EEG than did NPO injections. The results that brainstem carbachol injections in rats, as in cats, may provide a useful model for investigating tonic REM sleep processes.

Anesthetics, Intravenous↗

Generation and characterization of correlated spike trains.

A framework within which to generate and characterize populations of correlated spike trains is presented. Spike trains are generated using integrate to threshold and fire type encoders. Spectral analysis techniques form the basis for specifying the strength of correlation within the population. To accurately specify weak correlation, a combined coherence estimate is formed between several independent pairs of spike trains from a population. The aim is to produce populations of spike trains which have a realistic stochastic correlation structure and which can be used to explore the role of correlated neuronal discharge in information processing in neuronal systems.

Computer Simulation↗

The role of theta-range oscillations in synchronising and integrating activity in distributed mnemonic networks.

It is well established that the occurrence of theta rhythm in the hippocampus is important in a variety of mnemonic tasks. However, in this review it will be argued that theta-rhythmic activity occurs across distributed networks within the diencephalon and neocortex as well as the hippocampus, and functions to temporally coordinate activity in distributed systems within these regions during mnemonic processes. Recent evidence strongly suggests that theta-range cellular activity occurs in the supramammillary nucleus (SuM) of the hypothalamus, and that this activity is independent of that occurring in the hippocampus. We have previously proposed in fact, that the frequency of theta activity in the hippocampus is determined in the SuM, rather than in the medial septum as previously assumed. The frequency-coded information from the SuM is then fed into at least two recurrent networks proposed by Aggleton and Brown (1999). Theta activity in these networks (the hippocampo-anterior thalamic system and the perirhinal-mediodorsal thalamic system) could potentially occur independently, but when simultaneously occurring in both may function to coordinate the integration of information in the two systems. Finally, we suggest that as the two systems include temporal and frontal neocortical areas that contribute to surface EEG, scalp recording of theta EEG activity from these regions may provide a "window" through which to assess the relative involvement of different cortico-limbic circuits in different mnemonic processes. The potential utility of this technique will be increased greatly by the use of high-density EEG and algorithms to more precisely map the topography of cortical sources of EEG activity.

Brain↗

Event-related desynchronization (ERD) in the alpha frequency during development of implicit and explicit learning.

To understand the role of the motor cortex in implicit and explicit learning, we studied alpha event-related desynchronization (ERD) while 13 right-handed individuals performed a variation of the serial reaction time task (SRTT). EEG signals were recorded simultaneously from 29 scalp locations and the ERD was computed. During data collection, all subjects developed implicit knowledge, demonstrated by shortening of the response time, and explicit knowledge of the test sequence. The average ERD maps of all 13 subjects demonstrated that during the initial learning, there was a decline in alpha band power that was maximal over the contralateral central region. The ERD reached a transient peak amplitude at a point when the subjects attained full explicit knowledge, and diminished subsequently. The transient peak in ERD was highly significant at C3. These electrophysiologic findings support previous studies which have demonstrated that motor activity changes as behavior changes over the course of learning.

Adult↗

EEG-based discrimination between imagination of right and left hand movement.

Three subjects were asked to imagine either right or left hand movement depending on a visual cue stimulus. The interval between two consecutive imagination tasks was > 10 s. Each subject imagined a total of 160 hand movements in each of 3-4 sessions (training) without feedback and 7-8 sessions with feedback. The EEG was recorded bipolarly from left and right central and parietal regions and was sampled at 128 Hz. In the feedback sessions, the EEG from both central channels was classified on-line with a neural network classifier, and the success of the discrimination between left and right movement imagination was given within 1.5 s by means of a visual feedback. For each subject, different frequency components in the alpha and beta band were found which provided best discrimination between left and right hand movement imagination. These frequency bands varied between 9 and 14 Hz and between 18 and 26 Hz. The accuracy of on-line classification was approximately 80% in all 3 subjects and did not improve with increasing number of sessions. By averaging over all training and over all feedback sessions, the EEG data revealed a significant desynchronisation (ERD) over the contralateral central area and synchronisation (ERS) over the ipsilateral side. The ERD/ERS patterns over all sessions displayed a relatively small intra-subject variability with slight differences between sessions with and without feedback.

Adult↗

Post-movement beta oscillations studied with linear estimation.

The application of surface laplacian and linear estimation methods to single trial EEG data was studied. EEG was recorded in 3 subjects during voluntary, self-paced extensions and flexions of the index finger. In each subject a post-movement beta synchronisation was found in specific frequency bands. The surface laplacian estimates were calculated using spherical splines and cortical current distributions were constructed using the linear estimation method. Both methods yield similar results and reveal a maximal event-related synchronisation over the left sensorimotor area approximately 500-750 ms after termination of movement.

Adult↗

EEG coherence in Alzheimer's disease.

EEG coherence can be used to evaluate the functionality of cortical connections and to get information about the synchronization of the regional cortical activity. We studied EEG coherence in patients affected by clinically probable Alzheimer's disease (AD) in order to quantify the modifications in the cortico-cortical or cortico-subcortical connections. The EEGs were recorded in 10 AD patients (with mild or moderate degrees of dementia) and in 10 normal age-matched subjects, at rest and eye-closed, from 16 electrodes with linked-ears reference. Spectral parameters and coherence were calculated by a multichannel autoregressive model using 50 artifact-free epochs, 1 s duration each. Alpha coherence was significantly decreased in 6 patients, the decrease being more accentuated in the area near the electrode taken into account; a significant delta coherence increase was found in a few patients between frontal and posterior regions. The AD group showed a significant decrease of alpha band coherence, in particular in temporo-parieto-occipital areas, more evident in patients with a more severe cognitive impairment. These abnormalities could reflect two different pathophysiological changes: the alpha coherence decrease could be related to alterations in cortico-cortical connections, whereas the delta coherence increase could be related to the lack of influence of subcortical cholinergic structures on cortical electrical activity.

Aged↗

Event-related desynchronization related to the anticipation of a stimulus providing knowledge of results.

In the present paper, event-related desynchronization (ERD) in the alpha and beta frequency bands is quantified in order to investigate the processes related to the anticipation of a knowledge of results (KR) stimulus. In a time estimation task, 10 subjects were instructed to press a button 4 s after the presentation of an auditory stimulus. Two seconds after the response they received auditory or visual feedback on the timing of their response. Preceding the button press, a centrally maximal ERD is found. Preceding the visual KR stimulus, an ERD is present that has an occipital maximum. Contrary to expectation, preceding the auditory KR stimulus there are no signs of a modality-specific ERD. Results are related to a thalamo-cortical gating model which predicts a correspondence between negative slow potentials and ERD during motor preparation and stimulus anticipation.

Adult↗

[Pathophysiological mechanisms implicated by high-frequency stimulation in Parkinson's disease: the restoration of high and low frequency oscillatory systems].

INTRODUCTION: Increased neuronal activity in the internal pallidum (GPi) and the subthalamic nucleus (STN) has been clearly demonstrated in Parkinsonian models, and the two structures have thus been selected as therapeutic targets for functional neurosurgery. High-frequency electrical stimulation of the GPi or the STN improves the parkinsonian symptoms but also dyskinesias directly by GPi stimulation or indirectly by reduction of L-Dopa associated with STN stimulation. According to Alexander's model of the organisation of the basal ganglia, electrical stimulation of GPi or STN should have led to uncontrolled hyperkinesia. This apparent paradox could be explained on one hand by the involvement of different anatomo-functional areas within these structures and on the other by spatial and temporal changes in neuronal discharge patterns in the basal ganglia which in turn produce variations in synchronisation. RESULTS: Event-related (de)synchronisation (ERD) has enabled us to study variations in subcortico-cortical oscillatory activity: it has been shown that high-frequency electrical stimulation of the GPi/STN increases desynchronisation of low frequency rhythms (mu and beta,<30 Hz) during movement preparation and execution and augments post-movement synchronisation. Stimulation also decreases the abnormal frontocentral spreading of desynchronisation during movement preparation. CONCLUSIONS: In accordance with previous coherence analyses, electrical stimulation of STN is likely to restore the activity of high-frequency and low-frequency systems, as evidenced by a decrease in the hypersynchronisation of low-frequency rhythms at rest and restoral of a high-frequency rhythm during movement. Stimulation may improve spatial selectivity by activating the selected programs in conjunction with the primary sensorimotor cortex, whilst inhibiting competitive programs represented by abnormal spreading outside the primary sensorimotor cortex.

Basal Ganglia↗

Quantification and visualization of event-related changes in oscillatory brain activity in the time-frequency domain.

In this chapter we review the traditional approach for ERD/ERS quantification and a more recent approach based on wavelet transform. In particular, we address the visualization of these phenomena and the validation of the results through statistical significance testing. Furthermore, we report on preprocessing using independent component analysis (ICA) and introduce a novel ERD/ERS maximization method.

Algorithms↗

Time-frequency microstructure and statistical significance of ERD and ERS.

ERD and ERS were introduced as the time courses of the average changes of energy in given frequency bands. These curves are naturally embedded in the time-frequency plane. Time-frequency density of signals energy can be estimated by means of a variety of transforms. In general, resolution of these methods depends on a priori choices of parameters regulating the tradeoff between the time and frequency resolutions. As an exception, adaptive time-frequency approximations adapt resolution to the local structures of the analyzed signal. Matching pursuit (MP) algorithm is a reliable implementation of this approach. Its application to the event-related EEG allows for a detailed presentation of the time-frequency microstructure of changes of the average energy density, as well as calculation of high-resolution maps of ERD/ERS in the time-frequency plane. However, even with such a detailed picture of the signal energy changes, their significance remains an open issue. Owing to a stochastic character of the EEG, a visible increase or decrease of energy can occur due to a pure chance or a phenomenon unrelated to the event. For a proper estimation of the statistical significance of ERD/ERS, that is, the average changes of signals energy density in relation to the reference period, we must take into account possibly non-normal distributions of energy, and, especially, the problem of multiple comparisons appearing in hypotheses related to different frequency bands and time epochs. This chapter presents and discusses a complete framework for high-resolution estimation of the ERD/ERS microstructure in the time-frequency regions, revealing statistically significant changes.

Cortical Synchronization↗