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To understand the events underlying the clinical efficacy of deep brain stimulation (DBS) of the subthalamic nucleus (STN), electrophysiological recordings and microdialysis evaluations were carried out in the substantia nigra pars reticulata (SNr), one of the two basal ganglia (BG) nuclei targeted by STN output, in patients with Parkinson's disease (PD). Clinically effective STN-DBS caused a significant increase of the SNr firing rate. The poststimulus histogram (PSTH) showed an excitation peak at 1.92–3.85 ms after the STN stimulus. The spontaneous discharge of SNr neurons was driven at the frequency of the stimulation (130 Hz), as shown in the autocorrelograms (AutoCrl). The fast Fourier transform (FFT) analysis showed a peak at 130 Hz, and a less pronounced second one at 260 Hz. Accordingly, in the distribution of the interspike intervals (ISIs), the mode was earlier, and skewness more asymmetric. Biochemically, the increased excitatory driving from the STN was reflected by a clear-cut increase in cyclic guanosine 3',5'-monophosphate (cGMP) levels in the SNr. These results indicate that the beneficial effect of DBS in PD patients is paralleled with a stimulus-synchronized activation of the STN target, SNr. Our findings suggest that, during STN-DBS, a critical change towards a high-frequency oscillatory discharge occurs. [ABSTRACT FROM AUTHOR]

The pattern of neuronal discharge within the basal ganglia is disturbed in Parkinson''s disease (PD). In particular, there is a tendency for neuronal elements to synchronise at around 20 Hz in the absence of dopaminergic treatment, whereas this activity can be replaced by spontaneous synchronisation at much higher frequencies (>70 Hz) following dopaminergic treatment [J. Neurosci. 21 (2001) 1033; Brain 126 (2003) 2153]. In two PD patients (3 sides), we show that stimulating the subthalamic area at around 20 Hz exacerbates synchronisation at similar frequencies in the globus pallidus interna, the major output structure of the human basal ganglia. In contrast, stimulating the subthalamic area at >70 Hz suppresses pallidal activity at about 20 Hz. Clinically, stimulation of the subthalamic area at similar high frequencies reverses parkinsonism and forms the basis of therapeutic deep brain stimulation in PD. The results point to a possible common mechanism by which both dopaminergic treatment associated synchronisation of subthalamic activity at very high frequency and synchronisation imposed by therapeutic stimulation of the subthalamic area inhibit an abnormal and potentially deleterious synchronisation of basal ganglia output at around 20 Hz. If this activity is unchecked by synchronisation at higher frequency, then pathological 20-Hz oscillations may cascade through the basal ganglia, increasing at subsequent levels of processing. [Copyright &y& Elsevier]

Background: Recent studies on the medical treatment of Parkinson's disease (PD) led to the introduction of the so called Deep Brain Stimulation (DBS) technique. This particular therapy allows to contrast actively the pathological activity of various Deep Brain structures, responsible for the well known PD symptoms. This technique, frequently joined to dopaminergic drugs administration, replaces the surgical interventions implemented to contrast the activity of specific brain nuclei, called Basal Ganglia (BG). This clinical protocol gave the possibility to analyse and inspect signals measured from the electrodes implanted into the deep brain regions. The analysis of these signals led to the possibility to study the PD as a specific case of dynamical synchronization in biological neural networks, with the advantage to apply the theoretical analysis developed in such scientific field to find efficient treatments to face with this important disease. Experimental results in fact show that the PD neurological diseases are characterized by a pathological signal synchronization in BG. Parkinsonian tremor, for example, is ascribed to be caused by neuron populations of the Thalamic and Striatal structures that undergo an abnormal synchronization. On the contrary, in normal conditions, the activity of the same neuron populations do not appear to be correlated and synchronized. Results: To study in details the effect of the stimulation signal on a pathological neural medium, efficient models of these neural structures were built, which are able to show, without any external input, the intrinsic properties of a pathological neural tissue, mimicking the BG synchronized dynamics. We start considering a model already introduced in the literature to investigate the effects of electrical stimulation on pathologically synchronized clusters of neurons. This model used Morris Lecar type neurons. This neuron model, although having a high level of biological plausibility, requires a large computational effort to simulate large scale networks. For this reason we considered a reduced order model, the Izhikevich one, which is computationally much lighter. The comparison between neural lattices built using both neuron models provided comparable results, both without traditional stimulation and in presence of all the stimulation protocols. This was a first result toward the study and simulation of the large scale neural networks involved in pathological dynamics. Using the reduced order model an inspection on the activity of two neural lattices was also carried out at the aim to analyze how the stimulation in one area could affect the dynamics in another area, like the usual medical treatment protocols require. The study of population dynamics that was carried out allowed us to investigate, through simulations, the positive effects of the stimulation signals in terms of desynchronization of the neural dynamics. Conclusions: The results obtained constitute a significant added value to the analysis of synchronization and desynchronization effects due to neural stimulation. This work gives the opportunity to more efficiently study the effect of stimulation in large scale yet computationally efficient neural networks. Results were compared both with the other mathematical models, using Morris Lecar and Izhikevich neurons, and with simulated Local Field Potentials (LFP). [ABSTRACT FROM AUTHOR]

Depth recordings in patients with Parkinson’s disease on dopaminergic therapy have revealed a tendency for oscillatory activity in the basal ganglia that is sharply tuned to frequencies of ∼70 Hz and increases with voluntary movement. It is unclear whether this activity is essentially physiological and whether it might be involved in arousal processes. Here we demonstrate an oscillatory activity with similar spectral characteristics and motor reactivity in the human thalamus. Depth signals were recorded in 29 patients in whom the ventral intermediate or centromedian nucleus were surgically targeted for deep brain stimulation. Thirteen patients with four different pathologies showed sharply tuned activity centred at ∼70 Hz in spectra of thalamic local field potential (LFP) recordings. This activity was modulated by movement and, critically, varied over the sleep–wake cycle, being suppressed during slow wave sleep and re-emergent during rapid eye movement sleep, which physiologically bears strong similarities with the waking state. It was enhanced by startle-eliciting stimuli, also consistent with modulation by arousal state. The link between this pattern of thalamic activity and that of similar frequency in the basal ganglia was strengthened by the finding that fast thalamic oscillations were lost in untreated parkinsonian patients, paralleling the behaviour of this activity in the basal ganglia. Furthermore, there was sharply tuned coherence between thalamic and pallidal LFP activity at ∼70 Hz in eight out of the 11 patients in whom globus pallidus and thalamus were simultaneously implanted. Subcortical oscillatory activity at ∼70 Hz may be involved in movement and arousal. [ABSTRACT FROM AUTHOR]

Electrical stimulation of the rat pedunculopontine nucleus (PPTg) (<25 Hz) synchronized firing of subthalamic neurons (STN) with each stimulus, and a continuous irregular activity often preceded recovery of burst discharges in control as well as in 6-hydroxydopamine lesioned animals. Firing was blocked both by increasing frequency of stimulation (>50 Hz) and current intensity (>500 µA). The data suggest that clinically relevant frequencies for PPTg deep brain stimulation in Parkinson’s disease modulate burst discharges in STN neurons. [ABSTRACT FROM AUTHOR]

In Parkinson’s disease, the subthalamic nucleus (STN) is a common target for functional neurosurgery. Recent investigations have suggested that physiological non-motor stimuli may dramatically alter STN firing properties. By maintaining long-lasting micro-recordings of STN single units in Parkinson’s disease (PD) patients, here we show that the neurons that are responsive to passive movements are also strongly modulated by altered vigilance state (awake vs. sleep). In addition, sleep was characterized by a distinctive irregular train-like firing pattern. These findings suggest that the reduction of the somato-sensory input modifies rigidity and, hence, STN discharge mode. Further, it is suggested that specific STN electrophysiological features are potential targets for future therapeutic interventions. [ABSTRACT FROM AUTHOR]