A quantitative comparison of basal ganglia neuronal activities of normal and Parkinson's disease model rats

Sang Baek Ryu, Eun Kyung Bae, Yong Sup Hwang, Hyun Joo Lee, Chang Kyun Im, Jin Woo Chang, Hyung Cheul Shin, Kyung Hwan Kim

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

The purpose of this study was to identify consistent characteristic changes of neuronal activity in basal ganglia (BG) nuclei associated with Parkinson's disease (PD) so that a reliable index of PD can be derived. A simple algorithm for automatic identification of firing patterns was devised as an essential tool to achieve this goal. A detailed quantitative analysis of firing patterns as well as firing rate was performed in three BG nuclei: the subthalamic nucleus (STN), the substantia nigra pars reticulate (SNpr), and the globus pallidus (GP). The results showed that the firing rate of STN neurons was not significantly altered in PD model rats. We also did not find a significant alteration in firing rates in the SNpr and GP between normal and PD model rats. In contrast, consistent changes of firing patterns were observed in all three BG nuclei in that the percentage of neurons with a regular firing pattern decreased whereas those with irregular, mixed, or burst patterns increased. This enables a simple algorithm based on burst detection and the shape of the interspike interval histogram to identify whether the neuronal activity is from normal or PD model rats.

Original languageEnglish
Pages (from-to)113-118
Number of pages6
JournalNeuroscience Letters
Volume505
Issue number2
DOIs
Publication statusPublished - 2011 Nov 14

Bibliographical note

Funding Information:
This study was supported by grants from the Industrial Source Technology Development Program (no. 10033812 ) of the Ministry of Knowledge Economy (MKE) of Korea and the National Research Foundation of Korea (NRF) (Basic Science Research Program, no. 2011-0004089 ) of the Ministry of Education, Science and Technology .

All Science Journal Classification (ASJC) codes

  • Neuroscience(all)

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