DocumentCode :
139141
Title :
Target coverage and selectivity in field steering brain stimulation
Author :
Cubo, Ruben ; Astrom, Mattias ; Medvedev, Alexander
Author_Institution :
Dept. of Inf. Technol., Uppsala Univ., Uppsala, Sweden
fYear :
2014
fDate :
26-30 Aug. 2014
Firstpage :
522
Lastpage :
525
Abstract :
Deep Brain Stimulation (DBS) is an established treatment in Parkinson´s Disease. The target area is defined based on the state and brain anatomy of the patient. The stimulation delivered via state-of-the-art DBS leads that are currently in clinical use is difficult to individualize to the patient particularities. Furthermore, the electric field generated by such a lead has a limited selectivity, resulting in stimulation of areas adjacent to the target and thus causing undesirable side effects. The goal of this study is, using actual clinical data, to compare in silico the stimulation performance of a symmetrical generic lead to a more versatile and adaptable one allowing, in particular, for asymmetric stimulation. The fraction of the volume of activated tissue in the target area and the fraction of the stimulation field that spreads beyond it are computed for a clinical data set of patients in order to quantify the lead performance. The obtained results suggest that using more versatile DBS leads might reduce the stimulation area beyond the target and thus lessen side effects for the same achieved therapeutical effect.
Keywords :
bioelectric phenomena; biological tissues; brain; diseases; medical computing; neuromuscular stimulation; DBS; Parkinson´s Disease treatment; activated tissue; actual clinical data; adjacent area stimulation; asymmetric stimulation; clinical data set; deep brain stimulation; electric field; field steering brain stimulation; in silico; lead performance; patient brain anatomy; patient state; selectivity; side effects; stimulation area; stimulation field fraction; stimulation performance; symmetrical generic lead; target area; target coverage; therapeutical effect; volume fraction; Brain models; Brain stimulation; Computational modeling; Encapsulation; Neurons; Satellite broadcasting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2014.6943643
Filename :
6943643
Link To Document :
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