Title :
Can we infer subthalamic nucleus spike trains from intranuclear local field potentials?
Author :
Michmizos, Kostis P. ; Nikita, Konstantina S.
Author_Institution :
Biomed. Simulations & Imaging Lab., Nat. Tech. Univ. of Athens, Athens, Greece
fDate :
Aug. 31 2010-Sept. 4 2010
Abstract :
The subthalamic nucleus (STN) is one of the subcortical nuclei that constitute the basal ganglia and a pivotal point of their function and dysfunction. In this paper, we use intranuclear recordings, acquired intraoperatively during deep brain stimulation procedure, to investigate whether it is possible to infer STN spike trains using only the underlying local field potentials (LFPs). We regard the LFPs to be the input and the spikes to be the output of a simple Hammerstein-Wiener model and we show that STN spikes can indeed be inferred from intranuclear LFPs, at least with moderate success. Our model, although not always reliable when predicting exact spike positions, shows a good accuracy in predicting the up to 1 kHz structure in STN spike trains. Hence, intranuclear LFPs can indeed hold useful information for predicting STN spiking activity.
Keywords :
bioelectric phenomena; biomedical measurement; neuromuscular stimulation; physiological models; STN spiking activity; deep brain stimulation procedure; electrophysiological data; intranuclear local field potentials; intranuclear recordings; local field potentials; simple Hammerstein-Wiener model; subthalamic nucleus spike trains; Band pass filters; Electrodes; Finite impulse response filter; Low pass filters; Mathematical model; Neurons; Predictive models; Action Potentials; Deep Brain Stimulation; Electrodes; Humans; Parkinson Disease; Subthalamic Nucleus;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5626523