Estimation of neuronal firing rates with the three-state biological point process model

Zelniker, E. E., Bradley, A. P., Castner, J. E., Chenery, H.J., Copland, D. A. and Silburn, P. (2008) Estimation of neuronal firing rates with the three-state biological point process model. Journal of Neuroscience Methods, 174 2: 281-291. doi:10.1016/j.jneumeth.2008.05.026


Author Zelniker, E. E.
Bradley, A. P.
Castner, J. E.
Chenery, H.J.
Copland, D. A.
Silburn, P.
Title Estimation of neuronal firing rates with the three-state biological point process model
Journal name Journal of Neuroscience Methods   Check publisher's open access policy
ISSN 0165-0270
Publication date 2008-09-30
Year available 2008
Sub-type Article (original research)
DOI 10.1016/j.jneumeth.2008.05.026
Open Access Status DOI
Volume 174
Issue 2
Start page 281
End page 291
Total pages 11
Place of publication London, U.K.
Publisher Elseiver B.V.
Language eng
Subject 1109 Neurosciences
730104 Nervous system and disorders
Abstract In the subcortex of the human brain, neuronal firing events are stochastic and the inter-arrival times of action potentials (APs) are highly irregular. It has been shown that stimulation of the subthalamic nucleus (STN), a small subcortical structure located within the basal ganglia, can help ameliorate the motor symptoms associated with Parkinson’s disease (PD). However, success of image guided stereotactic surgery is reliant upon the refinement of the anatomic target (in this case the STN) based on micro-electrode recordings (MERs) of background activity and firing rate. In practice MERs must be analysed on-line and in real-time. Currently, the most common method of performing on-line MER analysis is a manual thresholding procedure. However, this is subjective in nature and often complicated by the presence of variable amounts of background noise. Therefore, in this paper, we present an automated adaptive thresholding technique, based on a modified ‘top-hat’ operator, which detects APs exceeding the local background activity. We then go on to model these inter-arrival times using a coupled Poisson process that provides improved estimates of both inter-burst and intra-burst neuronal firing activity in the STN.
Keyword Poisson Process
Deep Brain-stimulation
Micro-elctrode recordings
Thresholding functional
Neuronal firing rates
Parameter estimation
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

 
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