TY - GEN
T1 - Predicting the volume of tissue activated via electrode impedance during deep brain stimulation
AU - Chuang, Wei Yi
AU - Chao, Chang-Po
AU - Young, Kuu-Young
PY - 2011/6/13
Y1 - 2011/6/13
N2 - In a typical deep brain stimulation (DBS) process, doctors depend on the patient's response in tuning the stimulation parameters, which is time consuming. In this process, the volume of tissue activated (VTA) is an important index to describe the stimulated region for helping adjusting suitable stimulation parameters. However, the VTA is hard to measure in clinical trials. The reason is because the brain tissue along the contact of the electrode varies with time since the electrode is implanted chronically. Some previous studies have shown that electrode impedance value significantly affects the size and shape of VTA. However, there is not a precise mathematical model to further investigate the relationship between electrode impedance and VTA. This study thus uses the technique of finite element analysis (FEA) for electromagnetic field simulation, in order to quantify the impact of clinically relevant impedance variability on the VTA during DBS. Through the quantitative description, the VTA can be predicted. Doctors can then tune the stimulation parameters efficiently.
AB - In a typical deep brain stimulation (DBS) process, doctors depend on the patient's response in tuning the stimulation parameters, which is time consuming. In this process, the volume of tissue activated (VTA) is an important index to describe the stimulated region for helping adjusting suitable stimulation parameters. However, the VTA is hard to measure in clinical trials. The reason is because the brain tissue along the contact of the electrode varies with time since the electrode is implanted chronically. Some previous studies have shown that electrode impedance value significantly affects the size and shape of VTA. However, there is not a precise mathematical model to further investigate the relationship between electrode impedance and VTA. This study thus uses the technique of finite element analysis (FEA) for electromagnetic field simulation, in order to quantify the impact of clinically relevant impedance variability on the VTA during DBS. Through the quantitative description, the VTA can be predicted. Doctors can then tune the stimulation parameters efficiently.
KW - Deep brain stimulation (DBS)
KW - Electromagnetic field simulation
KW - Finite element analysis (FEA)
KW - Impedance
KW - Volume of tissue activated (VTA)
UR - http://www.scopus.com/inward/record.url?scp=79958095646&partnerID=8YFLogxK
U2 - 10.2316/P.2011.723-055
DO - 10.2316/P.2011.723-055
M3 - Conference contribution
AN - SCOPUS:79958095646
SN - 9780889868663
T3 - Proceedings of the 8th IASTED International Conference on Biomedical Engineering, Biomed 2011
SP - 77
EP - 82
BT - Proceedings of the 8th IASTED International Conference on Biomedical Engineering, Biomed 2011
T2 - IASTED International Conference on Biomedical Engineering, Biomed 2011
Y2 - 16 February 2011 through 18 February 2011
ER -