Literature DB >> 20667815

Highly doped polycrystalline silicon microelectrodes reduce noise in neuronal recordings in vivo.

Rajarshi Saha1, Nathan Jackson, Chetan Patel, Jit Muthuswamy.   

Abstract

The aims of this study are to 1) experimentally validate for the first time the nonlinear current-potential characteristics of bulk doped polycrystalline silicon in the small amplitude voltage regimes (0-200 μV) and 2) test if noise amplitudes ( 0-15 μV ) from single neuronal electrical recordings get selectively attenuated in doped polycrystalline silicon microelectrodes due to the above property. In highly doped polycrystalline silicon, bulk resistances of several hundred kilo-ohms were experimentally measured for voltages typical of noise amplitudes and 9-10 kΩ for voltages typical of neural signal amplitudes ( > 150-200 μV). Acute multiunit measurements and noise measurements were made in n=6 and n=8 anesthetized adult rats, respectively, using polycrystalline silicon and tungsten microelectrodes. There was no significant difference in the peak-to-peak amplitudes of action potentials recorded from either microelectrode (p > 0.10). However, noise power in the recordings from tungsten microelectrodes (26.36 ±10.13 pW) was significantly higher than the corresponding value in polycrystalline silicon microelectrodes (7.49 ±2.66 pW). We conclude that polycrystalline silicon microelectrodes result in selective attenuation of noise power in electrical recordings compared to tungsten microelectrodes. This reduction in noise compared to tungsten microelectrodes is likely due to the exponentially higher bulk resistances offered by highly doped bulk polycrystalline silicon in the range of voltages corresponding to noise in multiunit measurements.

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Year:  2010        PMID: 20667815      PMCID: PMC3880016          DOI: 10.1109/TNSRE.2010.2056389

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  9 in total

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Journal:  Biomed Microdevices       Date:  2007-06       Impact factor: 2.838

6.  Neuronal ensemble control of prosthetic devices by a human with tetraplegia.

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7.  Single neuronal recordings using surface micromachined polysilicon microelectrodes.

Authors:  Jit Muthuswamy; Murat Okandan; Nathan Jackson
Journal:  J Neurosci Methods       Date:  2005-03-15       Impact factor: 2.390

8.  Creating low-impedance tetrodes by electroplating with additives.

Authors:  John E Ferguson; Chris Boldt; A David Redish
Journal:  Sens Actuators A Phys       Date:  2009-12-01       Impact factor: 3.407

9.  Chronic neural recordings using silicon microelectrode arrays electrochemically deposited with a poly(3,4-ethylenedioxythiophene) (PEDOT) film.

Authors:  Kip A Ludwig; Jeffrey D Uram; Junyan Yang; David C Martin; Daryl R Kipke
Journal:  J Neural Eng       Date:  2006-03-01       Impact factor: 5.379

  9 in total
  2 in total

1.  Bioresorbable silicon electronics for transient spatiotemporal mapping of electrical activity from the cerebral cortex.

Authors:  Ki Jun Yu; Duygu Kuzum; Suk-Won Hwang; Bong Hoon Kim; Halvor Juul; Nam Heon Kim; Sang Min Won; Ken Chiang; Michael Trumpis; Andrew G Richardson; Huanyu Cheng; Hui Fang; Marissa Thomson; Hank Bink; Delia Talos; Kyung Jin Seo; Hee Nam Lee; Seung-Kyun Kang; Jae-Hwan Kim; Jung Yup Lee; Younggang Huang; Frances E Jensen; Marc A Dichter; Timothy H Lucas; Jonathan Viventi; Brian Litt; John A Rogers
Journal:  Nat Mater       Date:  2016-04-18       Impact factor: 43.841

Review 2.  Recent Progress on Microelectrodes in Neural Interfaces.

Authors:  Geon Hwee Kim; Kanghyun Kim; Eunji Lee; Taechang An; WooSeok Choi; Geunbae Lim; Jung Hwal Shin
Journal:  Materials (Basel)       Date:  2018-10-16       Impact factor: 3.623

  2 in total

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