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

doi:10.1007/978-3-540-69158-7_6

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

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	Neural Information Processing - 14th International Conference, ICONIP 2007, Revised Selected Papers
Pages	48-53
Number of pages	6
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-540-69158-7_6
State	Published - 2008
Event	14th International Conference on Neural Information Processing, ICONIP 2007 - Kitakyushu, Japan Duration: 13 11 2007 → 16 11 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	4984 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th International Conference on Neural Information Processing, ICONIP 2007
Country/Territory	Japan
City	Kitakyushu
Period	13/11/07 → 16/11/07

Keywords

Burst
Inter-spike-interval
Microelectrode
Substantia nigra
Subthalamic nucleus

Access to Document

10.1007/978-3-540-69158-7_6

Cite this

Chao, P. K., Chan, H. L., Wu, T., Lin, M. A., & Lee, S. T. (2008). Applying the string method to extract bursting information from microelectrode recordings in subthalamic nucleus and substantia nigra. In Neural Information Processing - 14th International Conference, ICONIP 2007, Revised Selected Papers (PART 1 ed., pp. 48-53). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4984 LNCS, No. PART 1). https://doi.org/10.1007/978-3-540-69158-7_6

Chao, Pei Kuang ; Chan, Hsiao Lung ; Wu, Tony et al. / Applying the string method to extract bursting information from microelectrode recordings in subthalamic nucleus and substantia nigra. Neural Information Processing - 14th International Conference, ICONIP 2007, Revised Selected Papers. PART 1. ed. 2008. pp. 48-53 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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

abstract = "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.",

keywords = "Burst, Inter-spike-interval, Microelectrode, Substantia nigra, Subthalamic nucleus",

author = "Chao, \{Pei Kuang\} and Chan, \{Hsiao Lung\} and Tony Wu and Lin, \{Ming An\} and Lee, \{Shih Tseng\}",

year = "2008",

doi = "10.1007/978-3-540-69158-7\_6",

language = "英语",

isbn = "3540691545",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Neural Information Processing - 14th International Conference, ICONIP 2007, Revised Selected Papers",

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Chao, PK, Chan, HL, Wu, T, Lin, MA & Lee, ST 2008, Applying the string method to extract bursting information from microelectrode recordings in subthalamic nucleus and substantia nigra. in Neural Information Processing - 14th International Conference, ICONIP 2007, Revised Selected Papers. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 4984 LNCS, pp. 48-53, 14th International Conference on Neural Information Processing, ICONIP 2007, Kitakyushu, Japan, 13/11/07. https://doi.org/10.1007/978-3-540-69158-7_6

Applying the string method to extract bursting information from microelectrode recordings in subthalamic nucleus and substantia nigra. / Chao, Pei Kuang; Chan, Hsiao Lung; Wu, Tony et al.
Neural Information Processing - 14th International Conference, ICONIP 2007, Revised Selected Papers. PART 1. ed. 2008. p. 48-53 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4984 LNCS, No. PART 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Applying the string method to extract bursting information from microelectrode recordings in subthalamic nucleus and substantia nigra

AU - Chao, Pei Kuang

AU - Chan, Hsiao Lung

AU - Wu, Tony

AU - Lin, Ming An

AU - Lee, Shih Tseng

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

KW - Burst

KW - Inter-spike-interval

KW - Microelectrode

KW - Substantia nigra

KW - Subthalamic nucleus

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SN - 9783540691549

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Neural Information Processing - 14th International Conference, ICONIP 2007, Revised Selected Papers

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ER -

Chao PK, Chan HL, Wu T, Lin MA, Lee ST. Applying the string method to extract bursting information from microelectrode recordings in subthalamic nucleus and substantia nigra. In Neural Information Processing - 14th International Conference, ICONIP 2007, Revised Selected Papers. PART 1 ed. 2008. p. 48-53. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-540-69158-7_6

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

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