TY - GEN
T1 - Subthalamic nucleus deep brain stimulation
T2 - 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
AU - Chaturvedi, Ashutosh
AU - Butson, Christopher R.
AU - Cooper, Scott E.
AU - McIntyre, Cameron C.
PY - 2006
Y1 - 2006
N2 - Deep brain stimulation (DBS) of the subthalamic nucleus (STN) has become the therapy of choice for medically intractable Parkinson's Disease. However, the physiological mechanisms responsible for the therapeutic effects of DBS remain unknown, and quantitative understanding of the interaction between the electric field generated by DBS and the underlying neural tissue is lacking. Recently our group has developed various computational techniques to study the neural response to DBS. The goal of this study was to incrementally incorporate increasing levels of complexity into our computer models of STN DBS and address activation of the corticospinal tract (CST). Our model system was customized to an STN DBS patient and CST thresholds were calculated with electric field models that ranged from an electrostatic, homogeneous, isotropic model to one that explicitly incorporated the capacitance of the electrode-tissue interface, tissue encapsulation of the electrode, and diffusion-tensor based 3D tissue anisotropy and inhomogeneity. The model predictions were compared to clinical CST thresholds defined from electromyographic recordings from eight muscle groups in the arm and leg of the STN DBS patient. Coupled evaluation of the model and clinical data showed that accurate prediction of axonal thresholds required our most detailed model. In addition, the simplifications and assumptions typically utilized in neurostimulation models substantially overestimate neural activation.
AB - Deep brain stimulation (DBS) of the subthalamic nucleus (STN) has become the therapy of choice for medically intractable Parkinson's Disease. However, the physiological mechanisms responsible for the therapeutic effects of DBS remain unknown, and quantitative understanding of the interaction between the electric field generated by DBS and the underlying neural tissue is lacking. Recently our group has developed various computational techniques to study the neural response to DBS. The goal of this study was to incrementally incorporate increasing levels of complexity into our computer models of STN DBS and address activation of the corticospinal tract (CST). Our model system was customized to an STN DBS patient and CST thresholds were calculated with electric field models that ranged from an electrostatic, homogeneous, isotropic model to one that explicitly incorporated the capacitance of the electrode-tissue interface, tissue encapsulation of the electrode, and diffusion-tensor based 3D tissue anisotropy and inhomogeneity. The model predictions were compared to clinical CST thresholds defined from electromyographic recordings from eight muscle groups in the arm and leg of the STN DBS patient. Coupled evaluation of the model and clinical data showed that accurate prediction of axonal thresholds required our most detailed model. In addition, the simplifications and assumptions typically utilized in neurostimulation models substantially overestimate neural activation.
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U2 - 10.1109/IEMBS.2006.260502
DO - 10.1109/IEMBS.2006.260502
M3 - Conference contribution
C2 - 17946452
AN - SCOPUS:34047151881
SN - 1424400325
SN - 9781424400324
T3 - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
SP - 1240
EP - 1243
BT - 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
Y2 - 30 August 2006 through 3 September 2006
ER -