Fiber Activation in Bipolar Deep Brain Stimulation: A Patient Case Study⁎

Q3 Engineering
Anna F. Frigge , Elena Jiltsova , Fredrik Olsson , Dag Nyholm , Alexander Medvedev
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引用次数: 0

Abstract

Deep brain stimulation (DBS) is a therapy widely used for treating the symptoms of neurological disorders. Electrical pulses are chronically delivered in DBS to a disease-specific brain target via a surgically implanted electrode. The stimulating contact configuration, stimulation polarity, as well as amplitude, frequency, and pulse width of the DBS pulse sequence are utilized to optimize the therapeutic effect. In this paper, the utility of therapy individualization by means of patient-specific mathematical modeling is investigated with respect to a specific case of a patient diagnosed with Essential tremor (ET). Two computational models are compared in their ability to elucidate the impact of DBS stimulation on the Dentato-Rubro-Thalamic tract (DRTT): (i) a conventional model of volume of tissue activated (VTA) and (ii) a well-established, open-source simulation (OSS) neural fiber activation modeling framework known as OSS-DBS. The simulation results are compared with tremor measured in the patient under different DBS settings using a smartphone application. The findings of the study highlight that temporally static VTA models do not adequately describe the differences in the outcomes of bipolar stimulation settings with switched polarity, whereas neural fiber activation models hold potential in this regard. However, it is noted that neither of the investigated models fully accounts for the measured symptom pattern, particularly regarding a bilateral effect produced by unilateral stimulation.
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来源期刊
IFAC-PapersOnLine
IFAC-PapersOnLine Engineering-Control and Systems Engineering
CiteScore
1.70
自引率
0.00%
发文量
1122
期刊介绍: All papers from IFAC meetings are published, in partnership with Elsevier, the IFAC Publisher, in theIFAC-PapersOnLine proceedings series hosted at the ScienceDirect web service. This series includes papers previously published in the IFAC website.The main features of the IFAC-PapersOnLine series are: -Online archive including papers from IFAC Symposia, Congresses, Conferences, and most Workshops. -All papers accepted at the meeting are published in PDF format - searchable and citable. -All papers published on the web site can be cited using the IFAC PapersOnLine ISSN and the individual paper DOI (Digital Object Identifier). The site is Open Access in nature - no charge is made to individuals for reading or downloading. Copyright of all papers belongs to IFAC and must be referenced if derivative journal papers are produced from the conference papers. All papers published in IFAC-PapersOnLine have undergone a peer review selection process according to the IFAC rules.
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