TY - GEN
T1 - Analysis of the geometry and electric properties of brain tissue in simulation models for deep brain stimulation
AU - Vargas Cardona, Hernán Darío
AU - Orozco, Álvaro A.
AU - Álvarez, Mauricio A.
N1 - Publisher Copyright:
© Springer International Publishing AG 2017.
PY - 2017
Y1 - 2017
N2 - Deep Brain Stimulation (DBS) of Subthalamic Nucleus (STN) has proved to be the most effective treatment for Parkinson’s disease. DBS modulates neural activity with electric fields. However, the mechanisms regulating the therapeutic effects of DBS are not clear, in fact there is not a full knowledge about the voltage distribution generated in the brain by the stimulating electrodes. Knowledge of voltage distribution is useful to find the optimal parameters of stimulation, that allow the neurosurgeons to get the best clinical outcomes and minimal side effects. In this paper, we analyze the geometry and electric characteristics in DBS models with a Colombian population study. We characterized the electric conductivity of the brain using diffusion Magnetic Resonance imaging dMRI and we define three types of geometries to be modeled in DBS simulations. Finally we estimate the voltage propagation in brain tissue generated by DBS using the finite element method.
AB - Deep Brain Stimulation (DBS) of Subthalamic Nucleus (STN) has proved to be the most effective treatment for Parkinson’s disease. DBS modulates neural activity with electric fields. However, the mechanisms regulating the therapeutic effects of DBS are not clear, in fact there is not a full knowledge about the voltage distribution generated in the brain by the stimulating electrodes. Knowledge of voltage distribution is useful to find the optimal parameters of stimulation, that allow the neurosurgeons to get the best clinical outcomes and minimal side effects. In this paper, we analyze the geometry and electric characteristics in DBS models with a Colombian population study. We characterized the electric conductivity of the brain using diffusion Magnetic Resonance imaging dMRI and we define three types of geometries to be modeled in DBS simulations. Finally we estimate the voltage propagation in brain tissue generated by DBS using the finite element method.
UR - https://www.scopus.com/pages/publications/85013468581
U2 - 10.1007/978-3-319-52277-7_60
DO - 10.1007/978-3-319-52277-7_60
M3 - Conference contribution
AN - SCOPUS:85013468581
SN - 9783319522760
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 493
EP - 501
BT - Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 21st Iberoamerican Congress, CIARP 2016, Proceedings
A2 - Beltran-Castanon, Cesar
A2 - Famili, Fazel
A2 - Nystrom, Ingela
PB - Springer Verlag
T2 - 21st Iberoamerican Congress on Pattern Recognition, CIARP 2016
Y2 - 8 November 2016 through 11 November 2016
ER -