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Applying the string method to extract bursting information from microelectrode recordings in subthalamic nucleus and substantia nigra

  • Pei Kuang Chao*
  • , Hsiao Lung Chan
  • , Tony Wu
  • , Ming An Lin
  • , Shih Tseng Lee
  • *此作品的通信作者
  • Chang Gung University
  • Chang Gung Memorial Hospital

研究成果: 圖書/報告稿件的類型會議稿件同行評審

摘要

This paper proposes that bursting characteristics can be effective parameters in classifying and identifying neural activities from subthalamic nucleus (STN) and substantia nigra (SNr). The string method was performed to quantify bursting patterns in microelectrode recordings into indexes. Inter-spike-interval (ISI) was used as one of the independent variables to examine effectiveness and consistency of the method. The results show consistent findings about bursting patterns in STN and SNr data across all ISI constraints. Neurons in STN tend to release a larger number of bursts with fewer spikes in the bursts. Neurons in SNr produce a smaller number of bursts with more spikes in the bursts. According to our statistical evaluation, 50 and 80 ms are suggested as the optimal ISI constraint to classify STN and SNr's bursting patterns by the string method.

原文英語
主出版物標題Neural Information Processing - 14th International Conference, ICONIP 2007, Revised Selected Papers
頁面48-53
頁數6
版本PART 1
DOIs
出版狀態已出版 - 2008
事件14th International Conference on Neural Information Processing, ICONIP 2007 - Kitakyushu, 日本
持續時間: 13 11 200716 11 2007

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
號碼PART 1
4984 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Conference

Conference14th International Conference on Neural Information Processing, ICONIP 2007
國家/地區日本
城市Kitakyushu
期間13/11/0716/11/07

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