Local field potential driven Izhikevich model predicts a subthalamic nucleus neuron activity

Michmizos, KP; Nikita, KS

dc.contributor.author	Michmizos, KP	en
dc.contributor.author	Nikita, KS	en
dc.date.accessioned	2014-03-01T02:47:24Z
dc.date.available	2014-03-01T02:47:24Z
dc.date.issued	2011	en
dc.identifier.issn	1557170X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/33121
dc.subject.other	Local field potentials	en
dc.subject.other	Microelectrode recording	en
dc.subject.other	Neuron activity	en
dc.subject.other	Parameterized	en
dc.subject.other	Parkinson's disease	en
dc.subject.other	Single neuron	en
dc.subject.other	Subthalamic nucleus	en
dc.subject.other	Electrophysiology	en
dc.subject.other	Microelectrodes	en
dc.subject.other	Professional aspects	en
dc.subject.other	Forecasting	en
dc.title	Local field potential driven Izhikevich model predicts a subthalamic nucleus neuron activity	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/IEMBS.2011.6091459	en
heal.identifier.secondary	http://dx.doi.org/10.1109/IEMBS.2011.6091459	en
heal.identifier.secondary	6091459	en
heal.publicationDate	2011	en
heal.abstract	An interesting question has been raised recently regarding the relationship between the local field potentials (LFPs) and the single unit spiking activity. In this study, we investigate whether a linear modification of the LFPs, acquired from microelectrode recordings inside the subthalamic nucleus (STN) of Parkinson's disease patients, can provide input to an appropriately parameterized Izhikevich model to predict the spikes of an STN neuron. We show that the model is able to predict both the exact timing and the rhythm of the recorded spikes with high accuracy in 5 out of 7 intranuclear single neuron recordings. For the rest of the models, one model shows a lower accuracy in predicting the rhythm and the second one shows a lower accuracy in predicting the timing of the spikes. Overall, the results dictate that the LFPs can reliably predict the occurrence of spikes. © 2011 IEEE.	en
heal.journalName	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS	en
dc.identifier.doi	10.1109/IEMBS.2011.6091459	en
dc.identifier.volume	2011	en
dc.identifier.spage	5900	en
dc.identifier.epage	5903	en