In patients with Parkinson’s disease and in animal models of this disorder, neurons in the basal ganglia and related regions in thalamus and cortex show changes that can be recorded by using electrophysiologic single-cell recording techniques, including altered firing rates and patterns, pathologic oscillatory activity and increased inter-neuronal synchronization. In addition, changes in synaptic potentials or in the joint spiking activities of populations of neurons can be monitored as alterations in local field potentials (LFPs), electroencephalograms (EEGs) or electrocorticograms (ECoGs). Most of the mentioned electrophysiologic changes are probably related to the degeneration of diencephalic dopaminergic neurons, leading to dopamine loss in the striatum and other basal ganglia nuclei, although degeneration of non-dopaminergic cell groups may also have a role. The altered electrical activity of the basal ganglia and associated nuclei may contribute to some of the motor signs of the disease. We here review the current knowledge of the electrophysiologic changes at the single cell level, the level of local populations of neural elements, and the level of the entire basal ganglia-thalamocortical network in parkinsonism, and discuss the possible use of this information to optimize treatment approaches to Parkinson’s disease, such as deep brain stimulation (DBS) therapy.

Parkinsonism is associated with changes in oscillatory activity patterns and increased synchronization of neurons in the basal ganglia and cortex in patients and animal models of Parkinson's disease, but the relationship between these changes and the severity of parkinsonian signs remains unclear. We examined this relationship by studying changes in local field potentials (LFPs) in the internal pallidal segment (GPi) and the subthalamic nucleus (STN), and in encephalographic signals (EEG) from the primarymotor cortex (M1) in Rhesus monkeys which were rendered progressively parkinsonian by repeated systemic injections of small doses of the neurotoxin 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP). Observations during wakefulness and sleep (defined by EEG and video records) were analyzed separately. The severity of parkinsonism correlated with increases in spectral power at frequencies below 15.5 Hz in M1 and GPi and reductions in spectral power at frequencies above 15.6 Hz with little change in STN. The severity of parkinsonism also correlated with increases in the coherence betweenM1 EEG and basal ganglia LFPs in the low frequency band. Levodopa treatment reduced low-frequency activity and increased high-frequency activity in all three areas, but did not affect coherence. The state of arousal also affected LFP and EEG signals in all three structures, particularly in the STN. These results suggest that parkinsonism-associated changes in alpha and low-beta band oscillatory activity can be detected early in the parkinsonian state in M1 and GPi. Interestingly, oscillations detectable in STN LFP signals (including oscillations in the beta-band) do not appear to correlate strongly with the severity of mild-to-moderate parkinsonism in these animals. Levodopa-induced changes in oscillatoryM1 EEG and basal ganglia LFP patterns do not necessarily represent a normalization of abnormalities caused by dopamine depletion.

Deep brain stimulation (DBS) of the subthalamic nucleus (STN) has been used since the mid-1990s as a treatment for patients with Parkinson's disease, and more recently also in other conditions, such as dystonia or obsessive compulsive disorder. Non-invasive studies of cortical evoked potentials (EPs) that follow individual STN–DBS stimuli has provided us with insights about the conduction of the DBS pulses to the cortex. Such EPs have multiple components of different latencies, making it possible to distinguish short-latency and long-latency responses (3–8 ms and 18–25 ms latency, respectively). The available evidence indicates that these short- and long-latency EPs correspond to conduction from the STN stimulation site to the cortical recording location via anti- and orthodromic pathways, respectively. In this review we survey the literature from recording studies in human patients treated with STN–DBS for Parkinson's disease and other conditions, as well as recent animal studies (including our own) that have begun to elucidate details of the pathways, frequency dependencies, and other features of EPs. In addition, we comment on the possible clinical utility of this knowledge.

Epilepsy is a network disorder and each type of seizure involves distinct cortical and subcortical network, differently implicated in the control and propagation of the ictal activity. The role of the basal ganglia has been revealed in several cases of focal and generalized seizures. Here, we review the data that show the implication of the basal ganglia in absence, temporal lobe, and neocortical seizures in animal models (rodent, cat, and non-human primate) and in human. Based on these results and the advancement of deep brain stimulation for Parkinson's disease, basal ganglia neuromodulation has been tested with some success that can be equally seen as promising or disappointing. The effect of deep brain stimulation can be considered promising with a 76% in seizure reduction in temporal lobe epilepsy patients, but also disappointing, since only few patients have become seizure free and the antiepileptic effects have been highly variable among patients. This variability could probably be explained by the heterogeneity among the patients included in these clinical studies. To illustrate the importance of specific network identification, electrophysiological activity of the putamen and caudate nucleus has been recorded during penicillin-induced pre-frontal and motor seizures in one monkey. While an increase of the firing rate was found in putamen and caudate nucleus during pre-frontal seizures, only the activity of the putamen cells was increased during motor seizures. These preliminary results demonstrate the implication of the basal ganglia in two types of neocortical seizures and the necessity of studying the network to identify the important nodes implicated in the propagation and control of each type of seizure.

Focal motor seizures are characterized by transient motor behaviour that occurs simultaneously with paroxystic activity in the controlateral motor cortex. The implication of the basal ganglia has already been shown for generalized seizure but the propagation pathways from the motor cortex towards the basal ganglia during focal motor seizures are largely unknown. With a better knowledge of those pathways, a therapeutic modulation for reducing drug resistant motor epilepsy could be considered. Here, we recorded single-unit activities and local field potentials in the basal ganglia of two Macaca fascicularis in which acute focal motor seizures were induced by the injection of penicillin over the arm motor cortex territory. Each neuron was characterized using its mean firing rate and its type of firing pattern during interictal periods and seizures. Time-frequency analyses of local field potentials and electroencephalographic signals were used to assess dynamic changes occurring during seizure at a larger spatial level. The firing rate of neurons of input stages of basal ganglia (subthalamic nucleus and putamen) and those from the external part of the globus pallidus were significantly higher during seizures as compared to interictal periods. During seizures, the proportion of oscillatory neurons in subthalamic nucleus (71%), external globus pallidus (45%) and putamen (53%) significantly increased in comparison to interictal periods. Rhythmic activity was synchronized with ictal cortical spikes in external globus pallidus and subthalamic nucleus, but not in the putamen which oscillated faster than motor cortex. In contrast, no significant modification of the firing rate of the output stages of basal ganglia (internal part of the globus pallidus, substantia nigra pars reticulata) could be found during seizures. The local field potentials of subthalamic nucleus and external globus pallidus changed abruptly at the onset of the seizure, showing synchronization with the cortical activity throughout the seizure. In putamen, the synchronization appeared only by the end of seizures and for the two output structures, despite some increase of the oscillatory activity, the synchronization with the cortex was not significant. Our results suggest that the subthalamo-(external)-pallidal pathway is the main subcortical route involved during ictal motor seizures. Surprisingly, ictal activity did not propagate to the output structure of basal ganglia in that model. This finding may be important for clinical decisions of targeting when considering anti-epileptic neuromodulation in human beings suffering from disabling, drug resistant motor epilepsy.