DocumentCode
2224580
Title
Towards input output non-linear modeling of the subthalamic nucleus using intranuclear recordings
Author
Michmizos, Kostis P. ; Nikita, Konstantina S. ; Tagaris, Kostis Georgios L ; Sakas, Damianos E.
Author_Institution
Electr. & Comput. Eng. Dept., Nat. Tech. Univ. of Athens, Athens, Greece
fYear
2009
fDate
April 29 2009-May 2 2009
Firstpage
601
Lastpage
604
Abstract
The subthalamic nucleus (STN) is a pivotal point of the basal ganglia function and dysfunction. Its crucial engagement with the neurosurgical procedure of deep brain stimulation (DBS) that alleviates medically intractable Parkinsonian tremor augments the need to refine our current understanding of it. Intranuclear recordings, received from a patient during surgery, are processed to acquire both local field potentials (LFPs) and the spiking activity of the cells inside the nucleus. Under the physiologically justified assumption that the LFPs constitute the input of the cells inside the nucleus whereas the spikes are the output, an input output system analysis of the STN is straightforward. Primary results show that a non-linear Hammerstein-Wiener model is able to simulate the STN output with a reasonable accuracy.
Keywords
bioelectric potentials; brain; cellular biophysics; medical signal processing; neurophysiology; surgery; basal ganglia function; cells; deep brain stimulation; dysfunction; input output nonlinear modeling; intranuclear recordings; local field potentials; medically intractable Parkinsonian tremor; neurosurgical procedure; nonlinear Hammerstein-Wiener model; pivotal point; spiking activity; subthalamic nucleus; surgery; Basal ganglia; Biomedical monitoring; Brain stimulation; Electrodes; Hospitals; Neurons; Neurosurgery; Pulse generation; Satellite broadcasting; Surgery; Input Output Model; Intranuclear Recordings; Subthalamic Nucleus;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Engineering, 2009. NER '09. 4th International IEEE/EMBS Conference on
Conference_Location
Antalya
Print_ISBN
978-1-4244-2072-8
Electronic_ISBN
978-1-4244-2073-5
Type
conf
DOI
10.1109/NER.2009.5109368
Filename
5109368
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