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Temporal parameters of extracellular potentials identify pallidal neuronal subtypes in patients with Parkinson’s diseaseтезисы доклада Тезисы
Информация о цитировании статьи получена из
Scopus
Дата последнего поиска статьи во внешних источниках: 23 января 2026 г.
- Авторы: Hai-Varonskaya D., Nezvinskiy A.A., Filyushkina V.I., Tomskiy A.A., Sedov A.S.
- Сборник: 2025 Seventh International Conference Neurotechnologies and Neurointerfaces (CNN)
- Серия: CONFERENCE PROCEEDINGS
- Тезисы
- Год издания: 2025
- Место издания: IEEE Nizhny Novgorod
- Первая страница: 25
- Последняя страница: 27
- DOI: 10.1109/CNN67635.2025.11177523
- Аннотация: https://ieeexplore.ieee.org/document/11177523 Abstract:Globus Pallidus externa (GPe) is known to be characterized by different subtypes of neurons. In animals these subtypes can be distinguished on the basis of electrophysiological and genetic differences. In patients with Parkinson’s disease different types of neurons can be distinguished by activity patterns. However, these activity parameters cannot confidently determine different types of neurons.The aim of current work was to find waveform parameters, which could more objectively separate pallidal neurons.We collected microelectrode recording data from 9 patients with Parkinson’s disease who underwent deep brain stimulations. Then we performed spike sorting to extract waveforms and finally we analyzed temporal parameters of waveforms to clusterize GPe neurons. As a result, we found two clusters: neurons with short spikes (~80%) and neurons with longer spikes (~20%). These two clusters of neurons are characterized by different firing rate and spiking pattern, which may suggest dependencies between electrophysiological parameters of spike’s waveform and neuron activity pattern.We showed that waveform analysis of extracellular recording is a novel approach, which can bridge the distance between cellular level animal findings and organisation of human brain structures. We suppose that in future, this approach will allow us to more accurately study the neural organization of the basal ganglia nuclei in patients with movement disorders.
- Добавил в систему: Гамалея Анна Александровна
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