In vivo neuronal action potential recordings via three-dimensional microscale needle-electrode arrays View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-05

AUTHORS

Akifumi Fujishiro, Hidekazu Kaneko, Takahiro Kawashima, Makoto Ishida, Takeshi Kawano

ABSTRACT

Very fine needle-electrode arrays potentially offer both low invasiveness and high spatial resolution of electrophysiological neuronal recordings in vivo. Herein we report the penetrating and recording capabilities of silicon-growth-based three-dimensional microscale-diameter needle-electrodes arrays. The fabricated needles exhibit a circular-cone shape with a 3-μm-diameter tip and a 210-μm length. Due to the microscale diameter, our silicon needles are more flexible than other microfabricated silicon needles with larger diameters. Coating the microscale-needle-tip with platinum black results in an impedance of ~600 kΩ in saline with output/input signal amplitude ratios of more than 90% at 40 Hz-10 kHz. The needles can penetrate into the whisker barrel area of a rat's cerebral cortex, and the action potentials recorded from some neurons exhibit peak-to-peak amplitudes of ~300 μVpp. These results demonstrate the feasibility of in vivo neuronal action potential recordings with a microscale needle-electrode array fabricated using silicon growth technology. More... »

PAGES

4868

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/srep04868

DOI

http://dx.doi.org/10.1038/srep04868

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1042635039

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24785307


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1109", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Neurosciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Action Potentials", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Animals", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cerebral Cortex", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Electric Impedance", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Microelectrodes", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Needles", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neurons", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Rats", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Silicon", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Toyohashi University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.412804.b", 
          "name": [
            "Department of Electrical and Electronic Information Engineering, Toyohashi University of Technology, 1-1 Hibarigaoka Tempaku-cho, Toyohashi, Aichi 441-8580, Japan."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fujishiro", 
        "givenName": "Akifumi", 
        "id": "sg:person.01340444360.95", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01340444360.95"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Advanced Industrial Science and Technology", 
          "id": "https://www.grid.ac/institutes/grid.208504.b", 
          "name": [
            "National Institute of Advanced Industrial Science and Technology (AIST), AIST Tsukuba Central 6, Higashi, Tsukuba, Ibaraki 305-8566, Japan."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kaneko", 
        "givenName": "Hidekazu", 
        "id": "sg:person.01263212571.60", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01263212571.60"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Toyohashi University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.412804.b", 
          "name": [
            "Department of Mechanical Engineering, Toyohashi University of Technology, 1-1 Hibarigaoka Tempaku-cho, Toyohashi, Aichi 441-8580, Japan."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kawashima", 
        "givenName": "Takahiro", 
        "id": "sg:person.011471003715.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011471003715.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Toyohashi University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.412804.b", 
          "name": [
            "1] Department of Electrical and Electronic Information Engineering, Toyohashi University of Technology, 1-1 Hibarigaoka Tempaku-cho, Toyohashi, Aichi 441-8580, Japan [2] Electronics-Inspired Interdisciplinary Research Institute (EIIRIS), Toyohashi University of Technology, 1-1 Hibarigaoka Tempaku-cho, Toyohashi, Aichi 441-8580, Japan."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ishida", 
        "givenName": "Makoto", 
        "id": "sg:person.011406773521.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011406773521.22"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Toyohashi University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.412804.b", 
          "name": [
            "Department of Electrical and Electronic Information Engineering, Toyohashi University of Technology, 1-1 Hibarigaoka Tempaku-cho, Toyohashi, Aichi 441-8580, Japan."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kawano", 
        "givenName": "Takeshi", 
        "id": "sg:person.016620045721.96", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016620045721.96"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1088/0960-1317/18/3/035033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001010908"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0165-0173(92)90007-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002119543"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0165-0173(92)90007-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002119543"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jneumeth.2005.08.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004079234"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jneumeth.2005.08.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004079234"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature04970", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007795162", 
          "https://doi.org/10.1038/nature04970"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature04970", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007795162", 
          "https://doi.org/10.1038/nature04970"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature04970", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007795162", 
          "https://doi.org/10.1038/nature04970"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nnano.2008.174", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009558835", 
          "https://doi.org/10.1038/nnano.2008.174"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/b417497f", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013238191"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0165-0270(98)00031-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013388503"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmat3468", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013703696", 
          "https://doi.org/10.1038/nmat3468"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature11076", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017695173", 
          "https://doi.org/10.1038/nature11076"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0165-0270(99)00113-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019799312"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0006-8993(03)03023-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021112391"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0006-8993(03)03023-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021112391"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1128640", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021120480"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bios.2010.10.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025033206"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/jn.00845.2006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025585729"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.93.18.9921", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025721420"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/neuro.16.001.2009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029856938"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/416141a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030300583", 
          "https://doi.org/10.1038/416141a"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/416141a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030300583", 
          "https://doi.org/10.1038/416141a"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0960-1317/19/2/025007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031963056"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/bios1030118", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042304677"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bios.2009.12.037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045467388"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nn1472", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046138818", 
          "https://doi.org/10.1038/nn1472"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nn1472", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046138818", 
          "https://doi.org/10.1038/nn1472"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nn1472", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046138818", 
          "https://doi.org/10.1038/nn1472"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bios.2004.02.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050549558"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl052223z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056216540"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl052223z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056216540"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl902132w", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056222106"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl902132w", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056222106"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.3178556", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057917658"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/10.141202", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061084017"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/10.748981", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061085394"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/10.827288", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061085611"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/10.914800", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061085890"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/led.2011.2120590", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061355337"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tbme.2006.886934", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061526863"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/ted.2003.822473", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061591199"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/jn.2000.84.1.390", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074669388"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/jn.1990.63.4.832", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1078691315"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-05", 
    "datePublishedReg": "2015-05-01", 
    "description": "Very fine needle-electrode arrays potentially offer both low invasiveness and high spatial resolution of electrophysiological neuronal recordings in vivo. Herein we report the penetrating and recording capabilities of silicon-growth-based three-dimensional microscale-diameter needle-electrodes arrays. The fabricated needles exhibit a circular-cone shape with a 3-\u03bcm-diameter tip and a 210-\u03bcm length. Due to the microscale diameter, our silicon needles are more flexible than other microfabricated silicon needles with larger diameters. Coating the microscale-needle-tip with platinum black results in an impedance of ~600\u2005k\u03a9 in saline with output/input signal amplitude ratios of more than 90% at 40\u2005Hz-10\u2005kHz. The needles can penetrate into the whisker barrel area of a rat's cerebral cortex, and the action potentials recorded from some neurons exhibit peak-to-peak amplitudes of ~300\u2005\u03bcVpp. These results demonstrate the feasibility of in vivo neuronal action potential recordings with a microscale needle-electrode array fabricated using silicon growth technology.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/srep04868", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.6126959", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.6149163", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.6106971", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "4"
      }
    ], 
    "name": "In vivo neuronal action potential recordings via three-dimensional microscale needle-electrode arrays", 
    "pagination": "4868", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "cb16b9af1c13e5b6c7c0d80e31dddf7fd63175f801fa7b7eb7c174e9d76238a6"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "24785307"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/srep04868"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1042635039"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/srep04868", 
      "https://app.dimensions.ai/details/publication/pub.1042635039"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T00:55", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8697_00000426.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://www.nature.com/srep/2014/140502/srep04868/full/srep04868.html"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/srep04868'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/srep04868'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/srep04868'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/srep04868'


 

This table displays all metadata directly associated to this object as RDF triples.

255 TRIPLES      21 PREDICATES      73 URIs      31 LITERALS      19 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/srep04868 schema:about N011ca663bc324fff91abe0464a010c1f
2 N0714e3a4a228472f84fab31ad01701b2
3 N3eb0b6a066a348e0a223959566765089
4 N4aaf79bee1a24526b8a96257f15f6862
5 N5d5bc6728cb540bc88b773c532e8299a
6 N67aec68c3e20491ea27bf1ac0a9f0a59
7 N7d1dead8b1c04107bdbbbdc9825fd6b7
8 Na05aef8020de45b1909b70e107f117d4
9 Nae51fe3f70554c68bb22cc35dc29648f
10 Nbfe7d666f062472f8c86102f79608e47
11 anzsrc-for:11
12 anzsrc-for:1109
13 schema:author N6f5d8c905dd6466cacb6272c1f20b82f
14 schema:citation sg:pub.10.1038/416141a
15 sg:pub.10.1038/nature04970
16 sg:pub.10.1038/nature11076
17 sg:pub.10.1038/nmat3468
18 sg:pub.10.1038/nn1472
19 sg:pub.10.1038/nnano.2008.174
20 https://doi.org/10.1016/0165-0173(92)90007-9
21 https://doi.org/10.1016/j.bios.2004.02.006
22 https://doi.org/10.1016/j.bios.2009.12.037
23 https://doi.org/10.1016/j.bios.2010.10.014
24 https://doi.org/10.1016/j.jneumeth.2005.08.015
25 https://doi.org/10.1016/s0006-8993(03)03023-3
26 https://doi.org/10.1016/s0165-0270(98)00031-4
27 https://doi.org/10.1016/s0165-0270(99)00113-2
28 https://doi.org/10.1021/nl052223z
29 https://doi.org/10.1021/nl902132w
30 https://doi.org/10.1039/b417497f
31 https://doi.org/10.1063/1.3178556
32 https://doi.org/10.1073/pnas.93.18.9921
33 https://doi.org/10.1088/0960-1317/18/3/035033
34 https://doi.org/10.1088/0960-1317/19/2/025007
35 https://doi.org/10.1109/10.141202
36 https://doi.org/10.1109/10.748981
37 https://doi.org/10.1109/10.827288
38 https://doi.org/10.1109/10.914800
39 https://doi.org/10.1109/led.2011.2120590
40 https://doi.org/10.1109/tbme.2006.886934
41 https://doi.org/10.1109/ted.2003.822473
42 https://doi.org/10.1126/science.1128640
43 https://doi.org/10.1152/jn.00845.2006
44 https://doi.org/10.1152/jn.1990.63.4.832
45 https://doi.org/10.1152/jn.2000.84.1.390
46 https://doi.org/10.3389/neuro.16.001.2009
47 https://doi.org/10.3390/bios1030118
48 schema:datePublished 2015-05
49 schema:datePublishedReg 2015-05-01
50 schema:description Very fine needle-electrode arrays potentially offer both low invasiveness and high spatial resolution of electrophysiological neuronal recordings in vivo. Herein we report the penetrating and recording capabilities of silicon-growth-based three-dimensional microscale-diameter needle-electrodes arrays. The fabricated needles exhibit a circular-cone shape with a 3-μm-diameter tip and a 210-μm length. Due to the microscale diameter, our silicon needles are more flexible than other microfabricated silicon needles with larger diameters. Coating the microscale-needle-tip with platinum black results in an impedance of ~600 kΩ in saline with output/input signal amplitude ratios of more than 90% at 40 Hz-10 kHz. The needles can penetrate into the whisker barrel area of a rat's cerebral cortex, and the action potentials recorded from some neurons exhibit peak-to-peak amplitudes of ~300 μVpp. These results demonstrate the feasibility of in vivo neuronal action potential recordings with a microscale needle-electrode array fabricated using silicon growth technology.
51 schema:genre research_article
52 schema:inLanguage en
53 schema:isAccessibleForFree true
54 schema:isPartOf N3e18ac9dc6734e2b8683189a638ed9fa
55 N933ae42d0d8c4ac6ae44208479385596
56 sg:journal.1045337
57 schema:name In vivo neuronal action potential recordings via three-dimensional microscale needle-electrode arrays
58 schema:pagination 4868
59 schema:productId N116e769909f749a6827828ad193346e1
60 N782a13b2152448a9a2f05f8076766c42
61 N852096381f784f5bb05c353568ecead1
62 Nd0c3fc85024b41d5a149309175fbc8b5
63 Nfc512bbadab247938589bd54244eed33
64 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042635039
65 https://doi.org/10.1038/srep04868
66 schema:sdDatePublished 2019-04-11T00:55
67 schema:sdLicense https://scigraph.springernature.com/explorer/license/
68 schema:sdPublisher N06027c3b6e1e445783f18f719cda6188
69 schema:url http://www.nature.com/srep/2014/140502/srep04868/full/srep04868.html
70 sgo:license sg:explorer/license/
71 sgo:sdDataset articles
72 rdf:type schema:ScholarlyArticle
73 N011ca663bc324fff91abe0464a010c1f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
74 schema:name Rats
75 rdf:type schema:DefinedTerm
76 N06027c3b6e1e445783f18f719cda6188 schema:name Springer Nature - SN SciGraph project
77 rdf:type schema:Organization
78 N0714e3a4a228472f84fab31ad01701b2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
79 schema:name Cerebral Cortex
80 rdf:type schema:DefinedTerm
81 N116e769909f749a6827828ad193346e1 schema:name dimensions_id
82 schema:value pub.1042635039
83 rdf:type schema:PropertyValue
84 N2572b7a5ead74a54b26b836c2d4c8243 rdf:first sg:person.011471003715.08
85 rdf:rest Nb968973925b14fa0a4358cca8a6a0485
86 N3e18ac9dc6734e2b8683189a638ed9fa schema:issueNumber 1
87 rdf:type schema:PublicationIssue
88 N3eb0b6a066a348e0a223959566765089 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Animals
90 rdf:type schema:DefinedTerm
91 N4aaf79bee1a24526b8a96257f15f6862 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
92 schema:name Microelectrodes
93 rdf:type schema:DefinedTerm
94 N5d5bc6728cb540bc88b773c532e8299a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
95 schema:name Male
96 rdf:type schema:DefinedTerm
97 N67aec68c3e20491ea27bf1ac0a9f0a59 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name Electric Impedance
99 rdf:type schema:DefinedTerm
100 N6f5d8c905dd6466cacb6272c1f20b82f rdf:first sg:person.01340444360.95
101 rdf:rest N8f3ecca6dbd94033821af01574832a41
102 N782a13b2152448a9a2f05f8076766c42 schema:name pubmed_id
103 schema:value 24785307
104 rdf:type schema:PropertyValue
105 N7d1dead8b1c04107bdbbbdc9825fd6b7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Action Potentials
107 rdf:type schema:DefinedTerm
108 N852096381f784f5bb05c353568ecead1 schema:name nlm_unique_id
109 schema:value 101563288
110 rdf:type schema:PropertyValue
111 N8f3ecca6dbd94033821af01574832a41 rdf:first sg:person.01263212571.60
112 rdf:rest N2572b7a5ead74a54b26b836c2d4c8243
113 N933ae42d0d8c4ac6ae44208479385596 schema:volumeNumber 4
114 rdf:type schema:PublicationVolume
115 Na05aef8020de45b1909b70e107f117d4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Silicon
117 rdf:type schema:DefinedTerm
118 Nae51fe3f70554c68bb22cc35dc29648f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Neurons
120 rdf:type schema:DefinedTerm
121 Nb968973925b14fa0a4358cca8a6a0485 rdf:first sg:person.011406773521.22
122 rdf:rest Nfc67bb1ba7504c60a9615e0ec970c6be
123 Nbfe7d666f062472f8c86102f79608e47 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
124 schema:name Needles
125 rdf:type schema:DefinedTerm
126 Nd0c3fc85024b41d5a149309175fbc8b5 schema:name doi
127 schema:value 10.1038/srep04868
128 rdf:type schema:PropertyValue
129 Nfc512bbadab247938589bd54244eed33 schema:name readcube_id
130 schema:value cb16b9af1c13e5b6c7c0d80e31dddf7fd63175f801fa7b7eb7c174e9d76238a6
131 rdf:type schema:PropertyValue
132 Nfc67bb1ba7504c60a9615e0ec970c6be rdf:first sg:person.016620045721.96
133 rdf:rest rdf:nil
134 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
135 schema:name Medical and Health Sciences
136 rdf:type schema:DefinedTerm
137 anzsrc-for:1109 schema:inDefinedTermSet anzsrc-for:
138 schema:name Neurosciences
139 rdf:type schema:DefinedTerm
140 sg:grant.6106971 http://pending.schema.org/fundedItem sg:pub.10.1038/srep04868
141 rdf:type schema:MonetaryGrant
142 sg:grant.6126959 http://pending.schema.org/fundedItem sg:pub.10.1038/srep04868
143 rdf:type schema:MonetaryGrant
144 sg:grant.6149163 http://pending.schema.org/fundedItem sg:pub.10.1038/srep04868
145 rdf:type schema:MonetaryGrant
146 sg:journal.1045337 schema:issn 2045-2322
147 schema:name Scientific Reports
148 rdf:type schema:Periodical
149 sg:person.011406773521.22 schema:affiliation https://www.grid.ac/institutes/grid.412804.b
150 schema:familyName Ishida
151 schema:givenName Makoto
152 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011406773521.22
153 rdf:type schema:Person
154 sg:person.011471003715.08 schema:affiliation https://www.grid.ac/institutes/grid.412804.b
155 schema:familyName Kawashima
156 schema:givenName Takahiro
157 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011471003715.08
158 rdf:type schema:Person
159 sg:person.01263212571.60 schema:affiliation https://www.grid.ac/institutes/grid.208504.b
160 schema:familyName Kaneko
161 schema:givenName Hidekazu
162 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01263212571.60
163 rdf:type schema:Person
164 sg:person.01340444360.95 schema:affiliation https://www.grid.ac/institutes/grid.412804.b
165 schema:familyName Fujishiro
166 schema:givenName Akifumi
167 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01340444360.95
168 rdf:type schema:Person
169 sg:person.016620045721.96 schema:affiliation https://www.grid.ac/institutes/grid.412804.b
170 schema:familyName Kawano
171 schema:givenName Takeshi
172 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016620045721.96
173 rdf:type schema:Person
174 sg:pub.10.1038/416141a schema:sameAs https://app.dimensions.ai/details/publication/pub.1030300583
175 https://doi.org/10.1038/416141a
176 rdf:type schema:CreativeWork
177 sg:pub.10.1038/nature04970 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007795162
178 https://doi.org/10.1038/nature04970
179 rdf:type schema:CreativeWork
180 sg:pub.10.1038/nature11076 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017695173
181 https://doi.org/10.1038/nature11076
182 rdf:type schema:CreativeWork
183 sg:pub.10.1038/nmat3468 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013703696
184 https://doi.org/10.1038/nmat3468
185 rdf:type schema:CreativeWork
186 sg:pub.10.1038/nn1472 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046138818
187 https://doi.org/10.1038/nn1472
188 rdf:type schema:CreativeWork
189 sg:pub.10.1038/nnano.2008.174 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009558835
190 https://doi.org/10.1038/nnano.2008.174
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1016/0165-0173(92)90007-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002119543
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1016/j.bios.2004.02.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050549558
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1016/j.bios.2009.12.037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045467388
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1016/j.bios.2010.10.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025033206
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1016/j.jneumeth.2005.08.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004079234
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1016/s0006-8993(03)03023-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021112391
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1016/s0165-0270(98)00031-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013388503
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1016/s0165-0270(99)00113-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019799312
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1021/nl052223z schema:sameAs https://app.dimensions.ai/details/publication/pub.1056216540
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1021/nl902132w schema:sameAs https://app.dimensions.ai/details/publication/pub.1056222106
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1039/b417497f schema:sameAs https://app.dimensions.ai/details/publication/pub.1013238191
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1063/1.3178556 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057917658
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1073/pnas.93.18.9921 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025721420
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1088/0960-1317/18/3/035033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001010908
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1088/0960-1317/19/2/025007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031963056
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1109/10.141202 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061084017
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1109/10.748981 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061085394
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1109/10.827288 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061085611
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1109/10.914800 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061085890
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1109/led.2011.2120590 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061355337
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1109/tbme.2006.886934 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061526863
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1109/ted.2003.822473 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061591199
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1126/science.1128640 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021120480
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1152/jn.00845.2006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025585729
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1152/jn.1990.63.4.832 schema:sameAs https://app.dimensions.ai/details/publication/pub.1078691315
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1152/jn.2000.84.1.390 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074669388
243 rdf:type schema:CreativeWork
244 https://doi.org/10.3389/neuro.16.001.2009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029856938
245 rdf:type schema:CreativeWork
246 https://doi.org/10.3390/bios1030118 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042304677
247 rdf:type schema:CreativeWork
248 https://www.grid.ac/institutes/grid.208504.b schema:alternateName National Institute of Advanced Industrial Science and Technology
249 schema:name National Institute of Advanced Industrial Science and Technology (AIST), AIST Tsukuba Central 6, Higashi, Tsukuba, Ibaraki 305-8566, Japan.
250 rdf:type schema:Organization
251 https://www.grid.ac/institutes/grid.412804.b schema:alternateName Toyohashi University of Technology
252 schema:name 1] Department of Electrical and Electronic Information Engineering, Toyohashi University of Technology, 1-1 Hibarigaoka Tempaku-cho, Toyohashi, Aichi 441-8580, Japan [2] Electronics-Inspired Interdisciplinary Research Institute (EIIRIS), Toyohashi University of Technology, 1-1 Hibarigaoka Tempaku-cho, Toyohashi, Aichi 441-8580, Japan.
253 Department of Electrical and Electronic Information Engineering, Toyohashi University of Technology, 1-1 Hibarigaoka Tempaku-cho, Toyohashi, Aichi 441-8580, Japan.
254 Department of Mechanical Engineering, Toyohashi University of Technology, 1-1 Hibarigaoka Tempaku-cho, Toyohashi, Aichi 441-8580, Japan.
255 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...