Mathematical physiological modeling of the relation between local field potentials and spikes recorded inside the subthalamic nucleus

Michmizos, KP; Papavasileiou, V; Sakas, D; Nikita, KS

dc.contributor.author	Michmizos, KP	en
dc.contributor.author	Papavasileiou, V	en
dc.contributor.author	Sakas, D	en
dc.contributor.author	Nikita, KS	en
dc.date.accessioned	2014-03-01T02:46:52Z
dc.date.available	2014-03-01T02:46:52Z
dc.date.issued	2010	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32903
dc.subject	Deep Brain Stimulation	en
dc.subject	High Frequency	en
dc.subject	Local Field Potential	en
dc.subject	Movement Disorder	en
dc.subject	Phenomenological Model	en
dc.subject	Physiological Models	en
dc.subject	Spike Train	en
dc.subject	Subthalamic Nucleus	en
dc.subject	Temporal Summation	en
dc.subject	Basal Ganglia	en
dc.subject.other	Basal ganglia	en
dc.subject.other	Deep brain stimulation	en
dc.subject.other	High frequency HF	en
dc.subject.other	Input and outputs	en
dc.subject.other	Local field potentials	en
dc.subject.other	Movement disorders	en
dc.subject.other	Numerical parameters	en
dc.subject.other	Parkinson's disease	en
dc.subject.other	Phenomenological models	en
dc.subject.other	Physiological modeling	en
dc.subject.other	Reasonable accuracy	en
dc.subject.other	Spike train	en
dc.subject.other	Stochastic properties	en
dc.subject.other	Subthalamic nucleus	en
dc.subject.other	Temporal summation	en
dc.subject.other	Information technology	en
dc.subject.other	Physiology	en
dc.subject.other	Stochastic models	en
dc.subject.other	Surgery	en
dc.subject.other	Physiological models	en
dc.title	Mathematical physiological modeling of the relation between local field potentials and spikes recorded inside the subthalamic nucleus	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ITAB.2010.5687683	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ITAB.2010.5687683	en
heal.identifier.secondary	5687683	en
heal.publicationDate	2010	en
heal.abstract	During the last decade, the subthalamic nucleus (STN) has drawn the attention of clinicians and researchers becoming the main target for high-frequency deep brain stimulation of the basal ganglia in patients suffering from movement disorders such as dystonia or Parkinson's disease. Currently, a great effort is made both in Medicine and Neurosciences for understanding and modeling in details how the STN cells work. The aim of this work is the development of a phenomenological model of an STN neuron that receives the local field potentials as its input and outputs a spike train. The model is physiologically inspired by the temporal summation observed in neurons. After estimating the model's numerical parameters and stochastic properties by fitting the available intranuclear data, we show that the model can predict with reasonable accuracy single spikes as well as the presence of bursts by following closely the recorded spiking rhythm. © 2010 IEEE.	en
heal.journalName	Proceedings of the IEEE/EMBS Region 8 International Conference on Information Technology Applications in Biomedicine, ITAB	en
dc.identifier.doi	10.1109/ITAB.2010.5687683	en