Toward relating the subthalamic nucleus spiking activity to the local field potentials acquired intranuclearly

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	2014-03-01T01:37:29Z
dc.date.available	2014-03-01T01:37:29Z
dc.date.issued	2011	en
dc.identifier.issn	0957-0233	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/21520
dc.subject	basal ganglia	en
dc.subject	local field potentials	en
dc.subject	subthalamic nucleus	en
dc.subject.classification	Engineering, Multidisciplinary	en
dc.subject.classification	Instruments & Instrumentation	en
dc.subject.other	Basal ganglia	en
dc.subject.other	Cortical areas	en
dc.subject.other	Functional magnetic resonance imaging (fMRI) signals	en
dc.subject.other	Local field potentials	en
dc.subject.other	Metabolic signals	en
dc.subject.other	Neural activity	en
dc.subject.other	Neuroimaging techniques	en
dc.subject.other	Non-invasive	en
dc.subject.other	Nonlinear cascades	en
dc.subject.other	Spike patterns	en
dc.subject.other	Subthalamic nucleus	en
dc.subject.other	Electrophysiology	en
dc.subject.other	Forecasting	en
dc.subject.other	Magnetic resonance imaging	en
dc.subject.other	Metabolism	en
dc.subject.other	Resonance	en
dc.subject.other	Signal systems	en
dc.subject.other	Independent component analysis	en
dc.title	Toward relating the subthalamic nucleus spiking activity to the local field potentials acquired intranuclearly	en
heal.type	journalArticle	en
heal.identifier.primary	10.1088/0957-0233/22/11/114021	en
heal.identifier.secondary	http://dx.doi.org/10.1088/0957-0233/22/11/114021	en
heal.identifier.secondary	114021	en
heal.language	English	en
heal.publicationDate	2011	en
heal.abstract	Studies on neurophysiological correlates of the functional magnetic resonance imaging (fMRI) signals reveal a strong relationship between the local field potential (LFP) acquired invasively and metabolic signal changes in fMRI experiments. Most of these studies failed to reveal an analogous relationship between metabolic signals and the spiking activity. That would allow for the prediction of the neural activity exclusively from the fMRI signals. However, the relationship between fMRI signals and spiking activity can be inferred indirectly provided that the LFPs can be used to predict the spiking activity of the area. Until now, only the LFP-spike relationship in cortical areas has been examined. Herein, we show that the spiking activity can be predicted by the LFPs acquired in a deep nucleus, namely the subthalamic nucleus (STN), using a nonlinear cascade model. The model can reproduce the spike patterns inside the motor area of the STN that represent information about the motor plans. Our findings expand the possibility of further recruiting non-invasive neuroimaging techniques to understand the activity of the STN and predict or even control movement. © 2011 IOP Publishing Ltd.	en
heal.publisher	IOP PUBLISHING LTD	en
heal.journalName	Measurement Science and Technology	en
dc.identifier.doi	10.1088/0957-0233/22/11/114021	en
dc.identifier.isi	ISI:000296563500022	en
dc.identifier.volume	22	en
dc.identifier.issue	11	en