Abstract
In Parkinsonism, subthalamic nucleus (STN) neurons and two types of external globus pallidus (GP) neuron inappropriately synchronise their firing in time with slow (∼1 Hz) or beta (13–30 Hz) oscillations in cortex. We recorded the activities of STN, Type-I GP (GP-TI) and Type-A GP (GP-TA) neurons in anaesthetised Parkinsonian rats during such oscillations to constrain a series of computational models that systematically explored the effective connections and physiological parameters underlying neuronal rhythmic firing and phase preferences in vivo. The best candidate model, identified with a genetic algorithm optimising accuracy/complexity measures, faithfully reproduced experimental data and predicted that the effective connections of GP-TI and GP-TA neurons are quantitatively different. Estimated inhibitory connections from striatum were much stronger to GP-TI neurons than to GP-TA neurons, whereas excitatory connections from thalamus were much stronger to GP-TA and STN neurons than to GP-TI neurons. Reciprocal connections between GP-TI and STN neurons were matched in weight, but those between GP-TA and STN neurons were not; only GP-TI neurons sent substantial connections back to STN. Different connection weights between and within the two types of GP neuron were also evident. Adding to connection differences, GP-TA and GP-TI neurons were predicted to have disparate intrinsic physiological properties, reflected in distinct autonomous firing rates. Our results elucidate potential substrates of GP functional dichotomy, and emphasise that rhythmic inputs from striatum, thalamus and cortex are important for setting activity in the STN–GP network during Parkinsonian beta oscillations, suggesting they arise from interactions between most nodes of basal ganglia–thalamocortical circuits.
Highlights
In idiopathic Parkinson’s disease (PD) and its animal models, chronic loss of dopamine from basal ganglia circuits profoundly alters the firing rates and patterns of the neurons therein
We incorporated these fundamental structural elements as likely effective connections of globus pallidus (GP)-TA, Type-I globus pallidus (GP-TI) and subthalamic nucleus (STN) neurons in all our computational models. Another innovation in our approach is the inclusion of a direct thalamic projection to the STN–GP network. We explore this connection because glutamatergic neurons of the intralaminar thalamus, and those of the parafascicular nucleus (Pfn), innervate both STN and GP (Bevan et al 1995; Yasukawa et al 2004), and because intralaminar thalamic projections to the basal ganglia may play a key role in the pathophysiology of PD (Smith et al 2009)
Focusing on slow-wave activity (SWA), we quantified the temporal relationships between the dominant cortical slow (ß1 Hz) oscillation and the spike firing of STN and GP neurons
Summary
In idiopathic Parkinson’s disease (PD) and its animal models, chronic loss of dopamine from basal ganglia circuits profoundly alters the firing rates and patterns of the neurons therein. These clinically observed beta oscillations might be truly pathological (Brown, 2006) and have been recapitulated in studies of 6–hydroxydopamine (6-OHDA)-lesioned rats in vivo; excessive beta oscillations emerge throughout the basal ganglia including the output nuclei, subthalamic nucleus (STN), external globus pallidus (GP) and striatum, as well as in the cortex (Sharott et al 2005; Mallet et al 2008a,b; Degos et al 2009; Avila et al 2010; Moran et al 2011) The appearance of such rhythms after chronic dopamine loss is associated with hyperactivity and hypoactivity in the STN and GP, respectively, and a shift from mostly uncorrelated ensemble activities to highly synchronised firing across the network (Mallet et al 2008a,b). A resolution would be facilitated by synergising experimental approaches and innovative computational models that embrace GP dichotomy (Jaeger, 2013)
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