Literature DB >> 16095718

Matching geometry and stimulation parameters of electrodes for deep brain stimulation experiments--numerical considerations.

Ulrike Gimsa1, Ute Schreiber, Beate Habel, Jürgen Flehr, Ursula van Rienen, Jan Gimsa.   

Abstract

Deep brain stimulation, the electric stimulation of basal ganglia nuclei, is a treatment for movement disorders such as Parkinson's disease. The underlying mechanisms are studied in animals, e.g. rodents. Designs and materials of commercially available microelectrodes, as well as experimentally applied driving signals vary tremendously. We used finite integration modeling to compare the electric field and current density distributions induced by various electrodes. Current density or field strength "hot spots", which are located particularly at sites of high curvature and material interfaces coincided with corrosion and erosion at poles and insulation, respectively, as shown by scanning electron microscopy of stainless steel electrodes. Cell constants, i.e. geometry factors relating the electrode impedance to the specific medium conductivity, were calculated to determine the electrode voltage for a given stimulation current. Nevertheless, for electrodes of the same cell constant but of different geometry, current and field distributions may be very dissimilar. We found geometry-dependent limiting values of the stimulation current, above which electric tissue damage may occur. These values limit the reach of the stimulation signal for a given electrode geometry. Also, electrode geometries determine the shape of the stimulated tissue volume. This study provides tools for choosing the most appropriate geometry for targeting different-sized brain areas.

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Year:  2005        PMID: 16095718     DOI: 10.1016/j.jneumeth.2005.06.013

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  14 in total

1.  Current steering to control the volume of tissue activated during deep brain stimulation.

Authors:  Christopher R Butson; Cameron C McIntyre
Journal:  Brain Stimul       Date:  2008-01       Impact factor: 8.955

2.  Conductance-based refractory density model of primary visual cortex.

Authors:  Anton V Chizhov
Journal:  J Comput Neurosci       Date:  2013-07-26       Impact factor: 1.621

3.  Effects of stimulation of the centromedian nucleus of the thalamus on the activity of striatal cells in awake rhesus monkeys.

Authors:  Bijli Nanda; Adriana Galvan; Yoland Smith; Thomas Wichmann
Journal:  Eur J Neurosci       Date:  2009-01-17       Impact factor: 3.386

4.  Experimental and theoretical characterization of the voltage distribution generated by deep brain stimulation.

Authors:  Svjetlana Miocinovic; Scott F Lempka; Gary S Russo; Christopher B Maks; Christopher R Butson; Ken E Sakaie; Jerrold L Vitek; Cameron C McIntyre
Journal:  Exp Neurol       Date:  2008-12-11       Impact factor: 5.330

5.  Quantifying the effects of the electrode-brain interface on the crossing electric currents in deep brain recording and stimulation.

Authors:  N Yousif; R Bayford; S Wang; X Liu
Journal:  Neuroscience       Date:  2008-01-25       Impact factor: 3.590

6.  Deep brain stimulation of the nucleus accumbens reduces ethanol consumption in rats.

Authors:  Clifford M Knapp; Lisa Tozier; Arlene Pak; Domenic A Ciraulo; Conan Kornetsky
Journal:  Pharmacol Biochem Behav       Date:  2009-01-31       Impact factor: 3.533

7.  Method for patient-specific finite element modeling and simulation of deep brain stimulation.

Authors:  Mattias Aström; Ludvic U Zrinzo; Stephen Tisch; Elina Tripoliti; Marwan I Hariz; Karin Wårdell
Journal:  Med Biol Eng Comput       Date:  2008-10-21       Impact factor: 2.602

Review 8.  Modeling the current distribution across the depth electrode-brain interface in deep brain stimulation.

Authors:  Nada Yousif; Xuguang Liu
Journal:  Expert Rev Med Devices       Date:  2007-09       Impact factor: 3.166

9.  Form-function relations in cone-tipped stimulating microelectrodes.

Authors:  Steve Yaeli; Einat Binyamin; Shy Shoham
Journal:  Front Neuroeng       Date:  2009-08-05

10.  Improved focalization of electrical microstimulation using microelectrode arrays: a modeling study.

Authors:  Sébastien Joucla; Blaise Yvert
Journal:  PLoS One       Date:  2009-03-12       Impact factor: 3.240

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