Adjust Neuronal Reactions to Pulses of High-Frequency Stimulation with Designed Inter-Pulse-Intervals in Rat Hippocampus In Vivo
| Autor: | Zhaoxiang Wang, Zhouyan Feng, Lvpiao Zheng, Chuchu Lu, Yue Yuan, Yifan Hu, Gangsheng Yang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Computer science
Population Hippocampus population spikes design algorithm Stimulation Neurosciences. Biological psychiatry. Neuropsychiatry Hippocampal formation Article 03 medical and health sciences 0302 clinical medicine In vivo hemic and lymphatic diseases education 030304 developmental biology 0303 health sciences education.field_of_study neuronal stimulation High frequency stimulation Pulse (signal processing) General Neuroscience mapping model Brain stimulation varying inter-pulse intervals Neuroscience 030217 neurology & neurosurgery RC321-571 |
| Zdroj: | Brain Sciences Brain Sciences, Vol 11, Iss 509, p 509 (2021) Volume 11 Issue 4 |
| ISSN: | 2076-3425 |
| Popis: | Sequences of electrical pulses have been applied in the brain to treat certain disorders. In recent years, altering inter-pulse-interval (IPI) regularly or irregularly in real time has emerged as a promising way to modulate the stimulation effects. However, algorithms to design IPI sequences are lacking. This study proposed a novel strategy to design pulse sequences with varying IPI based on immediate neuronal reactions. Firstly, to establish the correlationship between the neuronal reactions with varying IPIs, high-frequency stimulations with varying IPI in the range of 5–10 ms were applied at the alveus of the hippocampal CA1 region of anesthetized rats in vivo. Antidromically-evoked population spikes (APS) following each IPI were recorded and used as a biomarker to evaluate neuronal reactions to each pulse. A linear mapping model was established to estimate the varied APS amplitudes by the two preceding IPIs. Secondly, the mapping model was used to derive an algorithm for designing an IPI sequence that would be applied for generating a desired neuronal reaction pre-defined by a particular APS distribution. Finally, examples of stimulations with different IPI sequences designed by the algorithm were verified by rat experiments. The results showed that the designed IPI sequences were able to reproduce the desired APS responses of different distributions in the hippocampal stimulations. The novel algorithm of IPI design provides a potential way to obtain various stimulation effects for brain stimulation therapies. |
| Databáze: | OpenAIRE |
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