Prediction of the timing and the rhythm of the parkinsonian subthalamic nucleus neural spikes using the local field potentials

Michmizos, KP; Sakas, D; Nikita, KS

dc.contributor.author	Michmizos, KP	en
dc.contributor.author	Sakas, D	en
dc.contributor.author	Nikita, KS	en
dc.date.accessioned	2014-03-01T02:12:03Z
dc.date.available	2014-03-01T02:12:03Z
dc.date.issued	2012	en
dc.identifier.issn	10897771	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29994
dc.subject	Local field potential	en
dc.subject	nonlinear modeling	en
dc.subject	Parkinsons disease	en
dc.subject	subthalamic nucleus	en
dc.subject.other	action potential	en
dc.subject.other	aged	en
dc.subject.other	article	en
dc.subject.other	biological model	en
dc.subject.other	brain depth stimulation	en
dc.subject.other	electrode	en
dc.subject.other	human	en
dc.subject.other	male	en
dc.subject.other	methodology	en
dc.subject.other	middle aged	en
dc.subject.other	nonlinear system	en
dc.subject.other	Parkinson disease	en
dc.subject.other	pathophysiology	en
dc.subject.other	physiology	en
dc.subject.other	reproducibility	en
dc.subject.other	subthalamic nucleus	en
dc.subject.other	Action Potentials	en
dc.subject.other	Aged	en
dc.subject.other	Deep Brain Stimulation	en
dc.subject.other	Electrodes, Implanted	en
dc.subject.other	Humans	en
dc.subject.other	Male	en
dc.subject.other	Middle Aged	en
dc.subject.other	Models, Neurological	en
dc.subject.other	Nonlinear Dynamics	en
dc.subject.other	Parkinson Disease	en
dc.subject.other	Reproducibility of Results	en
dc.subject.other	Subthalamic Nucleus	en
dc.subject.other	Accurate prediction	en
dc.subject.other	Confidence interval	en
dc.subject.other	Cumulative distribution function	en
dc.subject.other	Deep brain stimulation	en
dc.subject.other	Inter-spike interval	en
dc.subject.other	Local field potentials	en
dc.subject.other	Model parameters	en
dc.subject.other	Neural spike	en
dc.subject.other	Nonlinear cascades	en
dc.subject.other	Nonlinear modeling	en
dc.subject.other	Parkinsons disease	en
dc.subject.other	Plausible model	en
dc.subject.other	Single neuron	en
dc.subject.other	Spike timing	en
dc.subject.other	Subthalamic nucleus	en
dc.subject.other	Electrophysiology	en
dc.subject.other	Health care	en
dc.subject.other	Surgery	en
dc.subject.other	Forecasting	en
dc.title	Prediction of the timing and the rhythm of the parkinsonian subthalamic nucleus neural spikes using the local field potentials	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/TITB.2011.2158549	en
heal.identifier.secondary	http://dx.doi.org/10.1109/TITB.2011.2158549	en
heal.identifier.secondary	5783514	en
heal.publicationDate	2012	en
heal.abstract	In this paper, we discuss the use of a nonlinear cascade model to predict the subthalamic nucleus spike activity from the local field potentials recorded in the motor area of the nucleus of Parkinsons disease patients undergoing deep brain stimulation. We use a segment of appropriately selected and processed data recorded from five nuclei to acquire the information of the spike timing and rhythm of a single neuron and estimate the model parameters. We then use the rest of each recording to assess the models accuracy in predicting spike timing, rhythm, and interspike intervals. We show that the cumulative distribution function (CDF) of the predicted spikes remains inside the 95 confidence interval of the CDF of the recorded spikes. By training the model appropriately, we prove its ability to provide quite accurate predictions for multiple-neuron recordings as well, and we establish its validity as a simple yet biologically plausible model of the intranuclear spike activity recorded from Parkinsons disease patients. © 2012 IEEE.	en
heal.journalName	IEEE Transactions on Information Technology in Biomedicine	en
dc.identifier.doi	10.1109/TITB.2011.2158549	en
dc.identifier.volume	16	en
dc.identifier.issue	2	en
dc.identifier.spage	190	en
dc.identifier.epage	197	en