Cited by 224Neuroscience and Neural EngineeringNeural dynamics and brain functionUndergraduate Neuroscience Education and Research

A carbon-fiber electrode array for long-term neural recording

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Abstract

OBJECTIVE: Chronic neural recording in behaving animals is an essential method for studies of neural circuit function. However, stable recordings from small, densely packed neurons remains challenging, particularly over time-scales relevant for learning. APPROACH: We describe an assembly method for a 16-channel electrode array consisting of carbon fibers (<5 µm diameter) individually insulated with Parylene-C and fire-sharpened. The diameter of the array is approximately 26 µm along the full extent of the implant. MAIN RESULTS: Carbon fiber arrays were tested in HVC (used as a proper name), a song motor nucleus, of singing zebra finches where individual neurons discharge with temporally precise patterns. Previous reports of activity in this population of neurons have required the use of high impedance electrodes on movable microdrives. Here, the carbon fiber electrodes provided stable multi-unit recordings over time-scales of months. Spike-sorting indicated that the multi-unit signals were dominated by one, or a small number of cells. Stable firing patterns during singing confirmed the stability of these clusters over time-scales of months. In addition, from a total of 10 surgeries, 16 projection neurons were found. This cell type is characterized by sparse stereotyped firing patterns, providing unambiguous confirmation of single cell recordings. SIGNIFICANCE: Carbon fiber electrode bundles may provide a scalable solution for long-term neural recordings of densely packed neurons.

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  • Guitchounts et al. (2013) demonstrated viability of long-term recording using a carbon-fiber electrode array, which provided stable multi-unit recordings over months.

    “Guitchounts et al. (2013) demonstrated the viability of long-term recording using a carbon-fiber electrode array, which have provided stable multi-unit recordings over a time-scale of months.”

    From Selectivity and Longevity of Peripheral-Nerve and Machine Interfaces: A Review. (2017) · cites this paper as Guitchounts et al. (2013)

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  1. Hahnloser RHR Kozhevnikov AA Fee MS 2002b An ultra-sparse code underlies the generation of neural sequences in a songbird Nature 1 7 12214232

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Authors
Guitchounts, G., Markowitz, J. E., Liberti, W. A., & Gardner, T. J.
Affiliations
Boston University (US)
Corresponding author
Gardner, Timothy J
Venue
Journal of Neural Engineering
Published
2013-07-17
Volume
10
Issue
4
Pages
046016
ISSN
  • 1741-2552 (ISSN-L)
  • 1741-2560
OpenAlex
W2144976153
Cited by
224
References
44
Citations by year
2026: 6 · 2025: 6 · 2024: 18 · 2023: 12 · 2022: 11 · 2021: 29 · 2020: 30 · 2019: 28 · 2018: 26 · 2017: 25 · 2016: 11 · 2015: 13 · 2014: 8
FWCI
5.23
Type
journal article
Language
en
Open access
Locations
  • Journal of Neural Engineering (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Science Foundation (0354378)
  • Burroughs Wellcome Fund
  • Center of Excellence for Learning in Education, Science and Technology (SBE-0354378)
  • National Institutes of Health
  • National Institute on Drug Abuse (R90DA033460)
  • National Institute of Neurological Disorders and Stroke (R21NS087531)
Topics
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Undergraduate Neuroscience Education and Research
Keywords
carbon fiber electrodes, electrode arrays, long-term neural recording, chronic neural recording, zebra finch, HVC, singing, multi-unit recording, single-unit recording, projection neurons, spike sorting, neural circuit function
MeSH terms
Carbon Fiber, Action Potentials, Animals, Biocompatible Materials, Carbon, Electrodes, Implanted, Equipment Design, Motor Cortex, Sensitivity and Specificity, Vocalization, Animal, Reproducibility of Results, Electric Impedance, Equipment Failure Analysis, Microarray Analysis, Finches

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