TY - GEN
T1 - Weighted kernel density estimation of the prepulse inhibition test
AU - Zhou, Hongbo
AU - Cheng, Qiang
AU - Yang, Hong Ju
AU - Xu, Haiyun
PY - 2010
Y1 - 2010
N2 - 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 patients with schizophrenia and animal models of this mental disorder. The goal of this study was to provide an alternative method for the analysis of PPI data. The new method is expected to be more reliable and sensitive than the existing conventional method. We applied the Kernel density estimation (KDE) in the analysis of PPI data. KDE is a non-parametric method of estimating the probability density function of a random variable and is widely used in inferring population statistics based on limited, noisy samples of continuous random variables. Our results showed that the KDE method performed better than the conventional method and offered some advantages which are of significant in the post-session analysis of PPI data and in performing animal experiments.
AB - 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 patients with schizophrenia and animal models of this mental disorder. The goal of this study was to provide an alternative method for the analysis of PPI data. The new method is expected to be more reliable and sensitive than the existing conventional method. We applied the Kernel density estimation (KDE) in the analysis of PPI data. KDE is a non-parametric method of estimating the probability density function of a random variable and is widely used in inferring population statistics based on limited, noisy samples of continuous random variables. Our results showed that the KDE method performed better than the conventional method and offered some advantages which are of significant in the post-session analysis of PPI data and in performing animal experiments.
KW - Kernel density estimation
KW - Prepulse inhibitation test
KW - Startle response
UR - http://www.scopus.com/inward/record.url?scp=78049351747&partnerID=8YFLogxK
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U2 - 10.1109/SERVICES.2010.130
DO - 10.1109/SERVICES.2010.130
M3 - Conference contribution
AN - SCOPUS:78049351747
SN - 9780769541297
T3 - Proceedings - 2010 6th World Congress on Services, Services-1 2010
SP - 291
EP - 297
BT - Proceedings - 2010 6th World Congress on Services, Services-1 2010
T2 - 2010 6th World Congress on Services, Services-1 2010
Y2 - 5 July 2010 through 10 July 2010
ER -