Literature DB >> 19587394

Impedance characteristics of deep brain stimulation electrodes in vitro and in vivo.

Xuefeng F Wei1, Warren M Grill.   

Abstract

The objective of this study was to quantify the electrode-tissue interface impedance of electrodes used for deep brain stimulation (DBS). We measured the impedance of DBS electrodes using electrochemical impedance spectroscopy in vitro in a carbonate- and phosphate-buffered saline solution and in vivo following acute implantation in the brain. The components of the impedance, including the series resistance (R(s)), the Faradaic resistance (R(f)) and the double layer capacitance (C(dl)), were estimated using an equivalent electrical circuit. Both R(f) and C(dl) decreased as the sinusoidal frequency was increased, but the ratio of the capacitive charge transfer to the Faradaic charge transfer was relatively insensitive to the change of frequency. R(f) decreased and C(dl) increased as the current density was increased, and above a critical current density the interface impedance became nonlinear. Thus, the magnitude of the interface impedance was strongly dependent on the intensity (pulse amplitude and duration) of stimulation. The temporal dependence and spatial non-uniformity of R(f) and C(dl) suggested that a distributed network, with each element of the network having dynamics tailored to a specific stimulus waveform, is required to describe adequately the impedance of the DBS electrode-tissue interface. Voltage transients to biphasic square current pulses were measured and suggested that the electrode-tissue interface did not operate in a linear range at clinically relevant current amplitudes, and that the assumption of the DBS electrode being ideally polarizable was not valid under clinical stimulating conditions.

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Year:  2009        PMID: 19587394      PMCID: PMC3066196          DOI: 10.1088/1741-2560/6/4/046008

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  24 in total

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  43 in total

1.  Glial responses to implanted electrodes in the brain.

Authors:  Joseph W Salatino; Kip A Ludwig; Takashi D Y Kozai; Erin K Purcell
Journal:  Nat Biomed Eng       Date:  2017-11-10       Impact factor: 25.671

2.  An Inductively-Powered Wireless Neural Recording and Stimulation System for Freely-Behaving Animals.

Authors:  Byunghun Lee; Yaoyao Jia; S Abdollah Mirbozorgi; Mark Connolly; Xingyuan Tong; Zhaoping Zeng; Babak Mahmoudi; Maysam Ghovanloo
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2019-01-07       Impact factor: 3.833

3.  Measurement of evoked potentials during thalamic deep brain stimulation.

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Journal:  Brain Stimul       Date:  2014-10-05       Impact factor: 8.955

4.  Magnitude and behavior of cross-talk effects in multichannel electrophysiology experiments.

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Journal:  J Neurophysiol       Date:  2017-04-19       Impact factor: 2.714

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Journal:  J Neural Eng       Date:  2014-07-16       Impact factor: 5.379

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Journal:  J Neural Eng       Date:  2019-02-08       Impact factor: 5.379

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Journal:  IEEE Trans Biomed Eng       Date:  2014-02       Impact factor: 4.538

Review 9.  Systems approaches to optimizing deep brain stimulation therapies in Parkinson's disease.

Authors:  Sabato Santaniello; John T Gale; Sridevi V Sarma
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2018-03-20

10.  Temporal macrodynamics and microdynamics of the postoperative impedance at the tissue-electrode interface in deep brain stimulation patients.

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