Estimation of the neuromodulation parameters from the planned volume of tissue activated in deep brain stimulation

Authors

DOI:

https://doi.org/10.17533/udea.redin.n79a02

Keywords:

Deep brain stimulation, planned volume of tissue activated, neuromodulation parameters, support vector machines

Abstract


Deep brain stimulation (DBS) is a therapy with promissory results for the treatment of movement disorders. It delivers electric stimulation via an electrode to a specific target brain region. The spatial extent of neural response to this stimulation is known as volume of tissue activated (VTA). Changes in stimulation parameters that control VTA, such as amplitude, pulse width and electrode configuration can affect the effectiveness of the DBS therapy. In this study, we develop a novel methodology for estimating suitable DBS neuromodulation parameters, from planned VTA, that attempts to maximize the therapeutic effects and to minimize the adverse effects for a patient in treatment. For estimating the continuous outputs (amplitude and pulse width), we use multi-output support vector regression, taking as the input space, the geometry of the VTA. For estimating the electrode polarity configuration, we perform several classification problems, also using support vector machines from the same input space. Our methodology attains satisfactory results for both the regression setting, and for predicting active contacts and its polarity. Combining biological neural modeling techniques together with machine learning, we introduce a promising area of research where parameters of neuromodulation in DBS can be tuned by manually specifying a desired geometric volume.

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Author Biographies

Viviana Gómez Orozco, Universidad Tecnológica de Pereira

Automatics Group, Faculty of Engineering



Mauricio Alexander Álvarez López, Universidad Tecnológica de Pereira

Automatics Group, Faculty of Engineering

Óscar Alberto Henao Gallo, Universidad Tecnológica de Pereira

Automatics Group, Faculty of Engineering

Álvaro Ángel Orozco Gutiérrez, Universidad Tecnológica de Pereira

Automatics Group, Faculty of Engineering



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Published

2016-06-16

How to Cite

Gómez Orozco, V., Álvarez López, M. A., Henao Gallo, Óscar A., Daza Santacoloma, G., & Orozco Gutiérrez, Álvaro Ángel. (2016). Estimation of the neuromodulation parameters from the planned volume of tissue activated in deep brain stimulation. Revista Facultad De Ingeniería Universidad De Antioquia, (79), 9–18. https://doi.org/10.17533/udea.redin.n79a02