Multistable properties of human subthalamic nucleus neurons in Parkinson's disease

Mechanism of multistability in chaotic maps

This research aims to investigate the mechanisms of multistability in chaotic maps. The study commences by examining the fundamental principles governing the development of homogeneous multistability using a basic one-dimensional chain-climbing map. Findings suggest that the phase space can be segmented into distinct uniform mediums where particles exhibit consistent movement. As critical parameter values are reached, channels emerge between these mediums, resulting in deterministic chaotic diffusion. Additionally, the study delves into the topic of introducing heterogeneous factors on the formation of heterogeneous multistability in the one-dimensional map. A thorough examination of phenomena such as multistate intermittency highlights the intimate connection between specific phase transition occurrences and channel formation. Finally, by analyzing two instances-a memristive chaotic map and a hyperchaotic map-the underlying factors contributing to the emergence of multistability are scrutinized. This study offers an alternative perspective for verifying the fundamental principles of homogenous and heterogeneous multistability in complex high-dimensional chaotic maps.

The Origin of Abnormal Beta Oscillations in the Parkinsonian Corticobasal Ganglia Circuits

Parkinson's disease (PD) is a neurodegenerative brain disorder associated with motor and nonmotor symptoms. Exaggerated beta band (15–30 Hz) neuronal oscillations are widely observed in corticobasal ganglia (BG) circuits during parkinsonism. Abnormal beta oscillations have been linked to motor symptoms of PD, but their exact relationship is poorly understood. Nevertheless, reduction of beta oscillations can induce therapeutic effects in PD patients. While it is widely believed that the external globus pallidus (GPe) and subthalamic nucleus (STN) are jointly responsible for abnormal rhythmogenesis in the parkinsonian BG, the role of other cortico-BG circuits cannot be ignored. To shed light on the origin of abnormal beta oscillations in PD, here we review changes of neuronal activity observed in experimental PD models and discuss how the cortex and different BG nuclei cooperate to generate and stabilize abnormal beta oscillations during parkinsonism. This may provide further insights into the complex relationship between abnormal beta oscillations and motor dysfunction in PD, which is crucial for potential target-specific therapeutic interventions in PD patients.

Spike-Timing-Dependent Plasticity Mediated by Dopamine and its Role in Parkinson's Disease Pathophysiology

Parkinson's disease (PD) is a multi-systemic neurodegenerative brain disorder. Motor symptoms of PD are linked to the significant dopamine (DA) loss in substantia nigra pars compacta (SNc) followed by basal ganglia (BG) circuit dysfunction. Increasing experimental and computational evidence indicates that (synaptic) plasticity plays a key role in the emergence of PD-related pathological changes following DA loss. Spike-timing-dependent plasticity (STDP) mediated by DA provides a mechanistic model for synaptic plasticity to modify synaptic connections within the BG according to the neuronal activity. To shed light on how DA-mediated STDP can shape neuronal activity and synaptic connectivity in the PD condition, we reviewed experimental and computational findings addressing the modulatory effect of DA on STDP as well as other plasticity mechanisms and discussed their potential role in PD pathophysiology and related network dynamics and connectivity. In particular, reshaping of STDP profiles together with other plasticity-mediated processes following DA loss may abnormally modify synaptic connections in competing pathways of the BG. The cascade of plasticity-induced maladaptive or compensatory changes can impair the excitation-inhibition balance towards the BG output nuclei, leading to the emergence of pathological activity-connectivity patterns in PD. Pre-clinical, clinical as well as computational studies reviewed here provide an understanding of the impact of synaptic plasticity and other plasticity mechanisms on PD pathophysiology, especially PD-related network activity and connectivity, after DA loss. This review may provide further insights into the abnormal structure-function relationship within the BG contributing to the emergence of pathological states in PD. Specifically, this review is intended to provide detailed information for the development of computational network models for PD, serving as testbeds for the development and optimization of invasive and non-invasive brain stimulation techniques. Computationally derived hypotheses may accelerate the development of therapeutic stimulation techniques and potentially reduce the number of related animal experiments.

Asymmetry of Subthalamic Neuronal Firing Rate and Oscillatory Characteristics in Parkinson's Disease

PURPOSE

The aim of this study was to compare the neuronal firing rate and oscillatory activity of the subthalamic nucleus (STN) between the more affected (MA) and the less affected (LA) hemispheres in Parkinson's disease (PD).

PATIENTS AND METHODS

We recorded and analyzed the intra-operative microelectrode recordings (MER) from the STN of 24 PD subjects. Lateralized Unified Parkinson's Disease Rating Scale (UPDRS) III sub-scores (item 20-26) were calculated. The STN corresponding to the MA side was designated as the MA STN while the other side as the LA STN. Single unit characteristics including interspike intervals were identified and spectral analyses were assessed. Further, the mean spontaneous firing rate (MSFR) of neurons was calculated. The correlations between clinical symptoms and neuronal activity were analyzed.

RESULTS

The firing rate in the MA and LA sides were 43.18 ± 0.74 Hz and 36.94 ± 1.32 Hz, respectively, with an increase of 16.9% in the MA group. The number of neurons that oscillated in the Tremor-Frequency Band (TFB), β-Frequency Band (βFB), and the non-oscillatory cells in the MA group were 43, 115, and 62 versus 78, 68, and 54 in the LA group, respectively. The proportions of the three types of neurons were different between both groups. The firing rate of the STN neurons and the UPDRS III sub-scores were positively correlated. Additionally, we observed a positive correlation between the percentage of βFB oscillatory neurons and bradykinesia score.

CONCLUSION

The firing rate of the STN in the MA hemisphere is higher than in the LA side, following disease progression and there seems to be an increase in firing rate. The βFB oscillatory neurons are at a larger proportion in the MA group while there were larger percentage of TFB oscillatory cells in the LA group. The proportion of βFB oscillatory neurons is selectively correlated with the severity of bradykinesia.