Abstract
Parkinson’s Disease (PD) is currently the second most common neurodegenerative disease. One of the most characteristic symptoms of PD is resting tremor. Local Field Potentials (LFPs) have been widely studied to investigate deviations from the typical patterns of healthy brain activity. However, the inherent dynamics of the Sub-Thalamic Nucleus (STN) LFPs and their spatiotemporal dynamics have not been well characterized. In this work, we study the non-linear dynamical behaviour of STN-LFPs of Parkinsonian patients using -recurrence networks. RNs are a non-linear analysis tool that encodes the geometric information of the underlying system, which can be characterised (for example, using graph theoretical measures) to extract information on the geometric properties of the attractor. Results show that the activity of the STN becomes more non-linear during the tremor episodes and that -recurrence network analysis is a suitable method to distinguish the transitions between movement conditions, anticipating the onset of the tremor, with the potential for application in a demand-driven deep brain stimulation system.
Highlights
It is estimated that the number of Parkinson’s patients will outnumber those with Alzheimer’s disease by 2040, reaching pandemic proportions [1]
The present study aims to answer two main questions: (1) Do the dynamics of Sub-Thalamic Nucleus (STN)-Local Field Potentials (LFPs) have a permanent character or do they change depending on the movement state that the patient is in?
We proposed a fuzzy inference system by using subthalamic-muscular synchronization features, whereas in the second, we designed a combined system that firstly classified the type of resting tremor presented by the patient and trained a multi-layer perceptron with spectral features of the LFP-STN signal
Summary
It is estimated that the number of Parkinson’s patients will outnumber those with Alzheimer’s disease by 2040, reaching pandemic proportions [1]. Parkinson’s disease is currently the second most frequent neurodegenerative disorder, in 95% of the cases, it remains an idiopathic disease [2]. There is a need for the medical and research community to understand its origin and to explore improved diagnostic methods and treatments that work better in the long term. Patients can experience tremor of the extremities at rest, the so-called Resting Tremor (RT), muscle rigidity, slow motion (bradykinesia) or difficulty in carrying out precise movements (akinesia). The patients in this study were diagnosed with benign tremulous
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