Complex analysis of neuronal spike trains of deep brain nuclei in patients with Parkinson's disease
| Autor: | Tony Wu, Shih-Tseng Lee, Ming-An Lin, Pei-Kuang Chao, Yu-Tai Tsai, Hsiao-Lung Chan |
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| Rok vydání: | 2010 |
| Předmět: |
Adult
Male Time Factors Deep brain stimulation Stereotactic surgery Parkinson's disease Deep Brain Stimulation medicine.medical_treatment Substantia nigra pars reticulata Action Potentials Arrival time Subthalamic Nucleus medicine Humans In patient Poisson Distribution Aged Aged 80 and over General Neuroscience Brain Discriminant Analysis Parkinson Disease Signal Processing Computer-Assisted Middle Aged medicine.disease nervous system diseases Substantia Nigra Subthalamic nucleus surgical procedures operative nervous system Female Spike (software development) Psychology Microelectrodes therapeutics Neuroscience |
| Zdroj: | Brain Research Bulletin. 81:534-542 |
| ISSN: | 0361-9230 |
| DOI: | 10.1016/j.brainresbull.2010.01.001 |
| Popis: | Deep brain stimulation (DBS) of the subthalamic nucleus (STN) has been used to alleviate symptoms of Parkinson's disease. During image-guided stereotactic surgery, signals from microelectrode recordings are used to distinguish the STN from adjacent areas, particularly from the substantia nigra pars reticulata (SNr). Neuronal firing patterns based on interspike intervals (ISI) are commonly used. In the present study, arrival time-based measures, including Lempel-Ziv complexity and deviation-from-Poisson index were employed. Our results revealed significant differences in the arrival time-based measures among non-motor STN, motor STN and SNr and better discrimination than the ISI-based measures. The larger deviations from the Poisson process in the SNr implied less complex dynamics of neuronal discharges. If spike classification was not used, the arrival time-based measures still produced statistical differences among STN subdivisions and SNr, but the ISI-based measures only showed significant differences between motor and non-motor STN. Arrival time-based measures are less affected by spike misclassifications, and may be used as an adjunct for the identification of the STN during microelectrode targeting. |
| Databáze: | OpenAIRE |
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