A new computational tool for the post session analysis of the prepulse inhibition test in neural science

Hongbo Zhou, Hong Ju Yang, Haiyun Xu, Qiang Cheng

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Abstract

Prepulse inhibition (PPI) refers to the reduction in startle reaction towards a startle-eliciting "pulse" stimulus when it is shortly preceded by a sub-threshold "prepulse" stimulus. PPI deficits have been seen in various neuropsychiatric disorders, such as schizophrenia, Tourette's syndrome, and Huntington's disease. Recent animal studies have employed PPI test to address issues relevant to mental disorders. Measuring the acoustic startle reflex and calculating PPI in small animals produces myriads of numeral data. These raw data need to be justified and organized properly before being analyzed statistically. Therefore, organizing and analyzing these raw data without a computer software is time consuming and tedious. The software we created is useful and powerful in the post session data analysis of PPI test as it has the following three advantages: (1) grouping data under different chambers and trials; (2) eliminating questionable data; (3) batch processing data, which enable researchers to finish the post session data analysis for a number of PPI tests in a few seconds.

Original languageEnglish
Title of host publicationProceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009 - 7th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2009
Pages1077-1080
Number of pages4
DOIs
StatePublished - 3 Dec 2009
Event7th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2009 - Vancouver, BC, Canada
Duration: 29 Aug 200931 Aug 2009

Publication series

NameProceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009
Volume2

Conference

Conference7th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2009
CountryCanada
CityVancouver, BC
Period29/08/0931/08/09

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Batch data processing
Animals
Acoustics

Cite this

Zhou, H., Yang, H. J., Xu, H., & Cheng, Q. (2009). A new computational tool for the post session analysis of the prepulse inhibition test in neural science. In Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009 - 7th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2009 (pp. 1077-1080). [5283495] (Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009; Vol. 2). https://doi.org/10.1109/CSE.2009.61
Zhou, Hongbo ; Yang, Hong Ju ; Xu, Haiyun ; Cheng, Qiang. / A new computational tool for the post session analysis of the prepulse inhibition test in neural science. Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009 - 7th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2009. 2009. pp. 1077-1080 (Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009).
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abstract = "Prepulse inhibition (PPI) refers to the reduction in startle reaction towards a startle-eliciting {"}pulse{"} stimulus when it is shortly preceded by a sub-threshold {"}prepulse{"} stimulus. PPI deficits have been seen in various neuropsychiatric disorders, such as schizophrenia, Tourette's syndrome, and Huntington's disease. Recent animal studies have employed PPI test to address issues relevant to mental disorders. Measuring the acoustic startle reflex and calculating PPI in small animals produces myriads of numeral data. These raw data need to be justified and organized properly before being analyzed statistically. Therefore, organizing and analyzing these raw data without a computer software is time consuming and tedious. The software we created is useful and powerful in the post session data analysis of PPI test as it has the following three advantages: (1) grouping data under different chambers and trials; (2) eliminating questionable data; (3) batch processing data, which enable researchers to finish the post session data analysis for a number of PPI tests in a few seconds.",
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Zhou, H, Yang, HJ, Xu, H & Cheng, Q 2009, A new computational tool for the post session analysis of the prepulse inhibition test in neural science. in Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009 - 7th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2009., 5283495, Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009, vol. 2, pp. 1077-1080, 7th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2009, Vancouver, BC, Canada, 29/08/09. https://doi.org/10.1109/CSE.2009.61

A new computational tool for the post session analysis of the prepulse inhibition test in neural science. / Zhou, Hongbo; Yang, Hong Ju; Xu, Haiyun; Cheng, Qiang.

Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009 - 7th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2009. 2009. p. 1077-1080 5283495 (Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009; Vol. 2).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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Zhou H, Yang HJ, Xu H, Cheng Q. A new computational tool for the post session analysis of the prepulse inhibition test in neural science. In Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009 - 7th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2009. 2009. p. 1077-1080. 5283495. (Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009). https://doi.org/10.1109/CSE.2009.61