Literature DB >> 25570633

Relationship between microelectrode array impedance and chronic recording quality of single units and local field potentials.

JingLe Jiang, Francis R Willett, Dawn M Taylor.   

Abstract

Practical application of intracortical microelectrode technology is currently hindered by the inability to reliably record neuronal signals chronically. The precise mechanism of device failure is still under debate, but most likely includes some combination of tissue reaction, mechanical failure, and chronic material degradation. Impedance is a measure of the ease with which current flows through a working electrode under a driving voltage. Impedance has been hypothesized to provide information about an electrode's surrounding tissue reaction as well as chronic insulation degradation. In this study, we investigated the relationship between an electrode's impedance and its chronic recording performance as measured by the number of isolatable single units and the quality of local field potential recordings. Two 64-channel electrode arrays implanted in separate monkeys were assessed. We found no simple relationship between impedance and recording quality that held for both animals across all time periods. This suggests that future investigations on the topic should adopt a more fine-grained within-day and within-animal analysis. We also found new evidence from local field potential spatial correlation supporting the theory that insulation degradation is an important contributor to electrode failure.

Entities:  

Mesh:

Year:  2014        PMID: 25570633     DOI: 10.1109/EMBC.2014.6944265

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  5 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.  Functional remodeling of subtype-specific markers surrounding implanted neuroprostheses.

Authors:  Joseph W Salatino; Bailey M Winter; Matthew H Drazin; Erin K Purcell
Journal:  J Neurophysiol       Date:  2017-03-29       Impact factor: 2.714

Review 3.  Review: Human Intracortical Recording and Neural Decoding for Brain-Computer Interfaces.

Authors:  David M Brandman; Sydney S Cash; Leigh R Hochberg
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2017-03-02       Impact factor: 3.802

4.  Multi-scale, multi-modal analysis uncovers complex relationship at the brain tissue-implant neural interface: new emphasis on the biological interface.

Authors:  Nicholas J Michelson; Alberto L Vazquez; James R Eles; Joseph W Salatino; Erin K Purcell; Jordan J Williams; X Tracy Cui; Takashi D Y Kozai
Journal:  J Neural Eng       Date:  2017-11-28       Impact factor: 5.379

5.  Explant Analysis of Utah Electrode Arrays Implanted in Human Cortex for Brain-Computer-Interfaces.

Authors:  Kevin Woeppel; Christopher Hughes; Angelica J Herrera; James R Eles; Elizabeth C Tyler-Kabara; Robert A Gaunt; Jennifer L Collinger; Xinyan Tracy Cui
Journal:  Front Bioeng Biotechnol       Date:  2021-12-07
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.