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Implantable neurotechnologies: a review of micro- and nanoelectrodes for neural recording
Abstract
Electrodes serve as the first critical interface to the biological organ system. In neuroprosthetic applications, for example, electrodes interface to the tissue for either signal recording or tissue stimulation. In this review, we consider electrodes for recording neural activity. Recording electrodes serve as wiretaps into the neural tissues, providing readouts of electrical activity. These signals give us valuable insights into the organization and functioning of the nervous system. The recording interfaces have also shown promise in aiding treatment of motor and sensory disabilities caused by neurological disorders. Recent advances in fabrication technology have generated wide interest in creating tiny, high-density electrode interfaces for neural tissues. An ideal electrode should be small enough and be able to achieve reliable and conformal integration with the structures of the nervous system. As a result, the existing electrode designs are being shrunk and packed to form small form factor interfaces to tissue. Here, an overview of the historic and state-of-the-art electrode technologies for recording neural activity is presented first with a focus on their development road map. The fact that the dimensions of recording electrode sites are being scaled down from micron to submicron scale to enable dense interfaces is appreciated. The current trends in recording electrode technologies are then reviewed. Current and future considerations in electrode design, including the use of inorganic nanostructures and biologically inspired or biocomapatible materials are discussed, along with an overview of the applications of flexible materials and transistor transduction schemes. Finally, we detail the major technical challenges facing chronic use of reliable recording electrode technology.
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“Novel approaches were demonstrated previously, and recently one of the research trends of the neural interface is to combine with neural tissue or biodegradable materials for long-term use or removing additional surgery.21,111,112”
From From flexible electronics technology in the era of IoT and artificial intelligence toward future implanted body sensor networks (2019) · cites this paper as [112]
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Metadata
- Authors
- Patil, A. C., & Thakor, N. V.
- Affiliations
- National University of Singapore (SG)
- Johns Hopkins University (US)
- Corresponding author
- Patil, Anoop C.
- Venue
- Medical & Biological Engineering & Computing
- Published
- 2016-01
- Volume
- 54
- Issue
- 1
- Pages
- 23-44
- ISSN
- 0140-0118 (ISSN-L)
- 1741-0444
- OpenAlex
- W2249190983
- Cited by
- 175
- References
- 227
- Citations by year
- 2026: 2 · 2025: 37 · 2024: 12 · 2023: 15 · 2022: 17 · 2021: 14 · 2020: 14 · 2019: 26 · 2018: 17 · 2017: 11 · 2016: 9
- FWCI
- 2.30
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Medical & Biological Engineering & Computing (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National University of Singapore
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Analog and Mixed-Signal Circuit Design
- Social Sciences › Education › Undergraduate Neuroscience Education and Research
- Keywords
- neural recording electrodes, microelectrodes, nanoelectrodes, neuroprosthetics, biomaterials, biomimetic materials, inorganic nanostructures, flexible materials
- MeSH terms
- Animals, Brain, Humans, Man-Machine Systems, Microelectrodes, Prostheses and Implants, Nanotechnology
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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