New insights into the classification and nomenclature of cortical GABAergic interneurons

Javier Defelipe, Pedro L. López-Cruz, Ruth Benavides-Piccione, Concha Bielza, Pedro Larrañaga, Stewart Anderson, Andreas Burkhalter, Bruno Cauli, Alfonso Fairén, Dirk Feldmeyer, Gordon Fishell, David Fitzpatrick, Tamás F. Freund, Guillermo González-Burgos, Shaul Hestrin, Sean Hill, Patrick R. Hof, Josh Huang, Edward G. Jones, Yasuo Kawaguchi & 22 others Zoltán Kisvárday, Yoshiyuki Kubota, David A. Lewis, Oscar Marín, Henry Markram, Chris J. McBain, Hanno S. Meyer, Hannah Monyer, Sacha B. Nelson, Kathleen Rockland, Jean Rossier, John L.R. Rubenstein, Bernardo Rudy, Massimo Scanziani, Gordon M. Shepherd, Chet C. Sherwood, Jochen F. Staiger, Gábor Tamás, Alex Thomson, Yun Weng, Rafael Yuste, Giorgio A. Ascoli

Research output: Contribution to journalArticle

Abstract

A systematic classification and accepted nomenclature of neuron types is much needed but is currently lacking. This article describes a possible taxonomical solution for classifying GABAergic interneurons of the cerebral cortex based on a novel, web-based interactive system that allows experts to classify neurons with pre-determined criteria. Using Bayesian analysis and clustering algorithms on the resulting data, we investigated the suitability of several anatomical terms and neuron names for cortical GABAergic interneurons. Moreover, we show that supervised classification models could automatically categorize interneurons in agreement with experts' assignments. These results demonstrate a practical and objective approach to the naming, characterization and classification of neurons based on community consensus.

Original languageEnglish (US)
Pages (from-to)202-216
Number of pages15
JournalNature Reviews Neuroscience
Volume14
Issue number3
DOIs
StatePublished - Mar 1 2013

Fingerprint

Interneurons
Terminology
Neurons
Expert Systems
Bayes Theorem
Cerebral Cortex
Names
Cluster Analysis

ASJC Scopus subject areas

  • Neuroscience(all)

Cite this

Defelipe, J., López-Cruz, P. L., Benavides-Piccione, R., Bielza, C., Larrañaga, P., Anderson, S., ... Ascoli, G. A. (2013). New insights into the classification and nomenclature of cortical GABAergic interneurons. Nature Reviews Neuroscience, 14(3), 202-216. https://doi.org/10.1038/nrn3444

New insights into the classification and nomenclature of cortical GABAergic interneurons. / Defelipe, Javier; López-Cruz, Pedro L.; Benavides-Piccione, Ruth; Bielza, Concha; Larrañaga, Pedro; Anderson, Stewart; Burkhalter, Andreas; Cauli, Bruno; Fairén, Alfonso; Feldmeyer, Dirk; Fishell, Gordon; Fitzpatrick, David; Freund, Tamás F.; González-Burgos, Guillermo; Hestrin, Shaul; Hill, Sean; Hof, Patrick R.; Huang, Josh; Jones, Edward G.; Kawaguchi, Yasuo; Kisvárday, Zoltán; Kubota, Yoshiyuki; Lewis, David A.; Marín, Oscar; Markram, Henry; McBain, Chris J.; Meyer, Hanno S.; Monyer, Hannah; Nelson, Sacha B.; Rockland, Kathleen; Rossier, Jean; Rubenstein, John L.R.; Rudy, Bernardo; Scanziani, Massimo; Shepherd, Gordon M.; Sherwood, Chet C.; Staiger, Jochen F.; Tamás, Gábor; Thomson, Alex; Weng, Yun; Yuste, Rafael; Ascoli, Giorgio A.

In: Nature Reviews Neuroscience, Vol. 14, No. 3, 01.03.2013, p. 202-216.

Research output: Contribution to journalArticle

Defelipe, J, López-Cruz, PL, Benavides-Piccione, R, Bielza, C, Larrañaga, P, Anderson, S, Burkhalter, A, Cauli, B, Fairén, A, Feldmeyer, D, Fishell, G, Fitzpatrick, D, Freund, TF, González-Burgos, G, Hestrin, S, Hill, S, Hof, PR, Huang, J, Jones, EG, Kawaguchi, Y, Kisvárday, Z, Kubota, Y, Lewis, DA, Marín, O, Markram, H, McBain, CJ, Meyer, HS, Monyer, H, Nelson, SB, Rockland, K, Rossier, J, Rubenstein, JLR, Rudy, B, Scanziani, M, Shepherd, GM, Sherwood, CC, Staiger, JF, Tamás, G, Thomson, A, Weng, Y, Yuste, R & Ascoli, GA 2013, 'New insights into the classification and nomenclature of cortical GABAergic interneurons', Nature Reviews Neuroscience, vol. 14, no. 3, pp. 202-216. https://doi.org/10.1038/nrn3444
Defelipe J, López-Cruz PL, Benavides-Piccione R, Bielza C, Larrañaga P, Anderson S et al. New insights into the classification and nomenclature of cortical GABAergic interneurons. Nature Reviews Neuroscience. 2013 Mar 1;14(3):202-216. https://doi.org/10.1038/nrn3444
Defelipe, Javier ; López-Cruz, Pedro L. ; Benavides-Piccione, Ruth ; Bielza, Concha ; Larrañaga, Pedro ; Anderson, Stewart ; Burkhalter, Andreas ; Cauli, Bruno ; Fairén, Alfonso ; Feldmeyer, Dirk ; Fishell, Gordon ; Fitzpatrick, David ; Freund, Tamás F. ; González-Burgos, Guillermo ; Hestrin, Shaul ; Hill, Sean ; Hof, Patrick R. ; Huang, Josh ; Jones, Edward G. ; Kawaguchi, Yasuo ; Kisvárday, Zoltán ; Kubota, Yoshiyuki ; Lewis, David A. ; Marín, Oscar ; Markram, Henry ; McBain, Chris J. ; Meyer, Hanno S. ; Monyer, Hannah ; Nelson, Sacha B. ; Rockland, Kathleen ; Rossier, Jean ; Rubenstein, John L.R. ; Rudy, Bernardo ; Scanziani, Massimo ; Shepherd, Gordon M. ; Sherwood, Chet C. ; Staiger, Jochen F. ; Tamás, Gábor ; Thomson, Alex ; Weng, Yun ; Yuste, Rafael ; Ascoli, Giorgio A. / New insights into the classification and nomenclature of cortical GABAergic interneurons. In: Nature Reviews Neuroscience. 2013 ; Vol. 14, No. 3. pp. 202-216.
@article{c84173328ec847ca9adccd6986563035,
title = "New insights into the classification and nomenclature of cortical GABAergic interneurons",
abstract = "A systematic classification and accepted nomenclature of neuron types is much needed but is currently lacking. This article describes a possible taxonomical solution for classifying GABAergic interneurons of the cerebral cortex based on a novel, web-based interactive system that allows experts to classify neurons with pre-determined criteria. Using Bayesian analysis and clustering algorithms on the resulting data, we investigated the suitability of several anatomical terms and neuron names for cortical GABAergic interneurons. Moreover, we show that supervised classification models could automatically categorize interneurons in agreement with experts' assignments. These results demonstrate a practical and objective approach to the naming, characterization and classification of neurons based on community consensus.",
author = "Javier Defelipe and L{\'o}pez-Cruz, {Pedro L.} and Ruth Benavides-Piccione and Concha Bielza and Pedro Larra{\~n}aga and Stewart Anderson and Andreas Burkhalter and Bruno Cauli and Alfonso Fair{\'e}n and Dirk Feldmeyer and Gordon Fishell and David Fitzpatrick and Freund, {Tam{\'a}s F.} and Guillermo Gonz{\'a}lez-Burgos and Shaul Hestrin and Sean Hill and Hof, {Patrick R.} and Josh Huang and Jones, {Edward G.} and Yasuo Kawaguchi and Zolt{\'a}n Kisv{\'a}rday and Yoshiyuki Kubota and Lewis, {David A.} and Oscar Mar{\'i}n and Henry Markram and McBain, {Chris J.} and Meyer, {Hanno S.} and Hannah Monyer and Nelson, {Sacha B.} and Kathleen Rockland and Jean Rossier and Rubenstein, {John L.R.} and Bernardo Rudy and Massimo Scanziani and Shepherd, {Gordon M.} and Sherwood, {Chet C.} and Staiger, {Jochen F.} and G{\'a}bor Tam{\'a}s and Alex Thomson and Yun Weng and Rafael Yuste and Ascoli, {Giorgio A.}",
year = "2013",
month = "3",
day = "1",
doi = "10.1038/nrn3444",
language = "English (US)",
volume = "14",
pages = "202--216",
journal = "Nature Reviews Neuroscience",
issn = "1471-003X",
publisher = "Nature Publishing Group",
number = "3",

}

TY - JOUR

T1 - New insights into the classification and nomenclature of cortical GABAergic interneurons

AU - Defelipe, Javier

AU - López-Cruz, Pedro L.

AU - Benavides-Piccione, Ruth

AU - Bielza, Concha

AU - Larrañaga, Pedro

AU - Anderson, Stewart

AU - Burkhalter, Andreas

AU - Cauli, Bruno

AU - Fairén, Alfonso

AU - Feldmeyer, Dirk

AU - Fishell, Gordon

AU - Fitzpatrick, David

AU - Freund, Tamás F.

AU - González-Burgos, Guillermo

AU - Hestrin, Shaul

AU - Hill, Sean

AU - Hof, Patrick R.

AU - Huang, Josh

AU - Jones, Edward G.

AU - Kawaguchi, Yasuo

AU - Kisvárday, Zoltán

AU - Kubota, Yoshiyuki

AU - Lewis, David A.

AU - Marín, Oscar

AU - Markram, Henry

AU - McBain, Chris J.

AU - Meyer, Hanno S.

AU - Monyer, Hannah

AU - Nelson, Sacha B.

AU - Rockland, Kathleen

AU - Rossier, Jean

AU - Rubenstein, John L.R.

AU - Rudy, Bernardo

AU - Scanziani, Massimo

AU - Shepherd, Gordon M.

AU - Sherwood, Chet C.

AU - Staiger, Jochen F.

AU - Tamás, Gábor

AU - Thomson, Alex

AU - Weng, Yun

AU - Yuste, Rafael

AU - Ascoli, Giorgio A.

PY - 2013/3/1

Y1 - 2013/3/1

N2 - A systematic classification and accepted nomenclature of neuron types is much needed but is currently lacking. This article describes a possible taxonomical solution for classifying GABAergic interneurons of the cerebral cortex based on a novel, web-based interactive system that allows experts to classify neurons with pre-determined criteria. Using Bayesian analysis and clustering algorithms on the resulting data, we investigated the suitability of several anatomical terms and neuron names for cortical GABAergic interneurons. Moreover, we show that supervised classification models could automatically categorize interneurons in agreement with experts' assignments. These results demonstrate a practical and objective approach to the naming, characterization and classification of neurons based on community consensus.

AB - A systematic classification and accepted nomenclature of neuron types is much needed but is currently lacking. This article describes a possible taxonomical solution for classifying GABAergic interneurons of the cerebral cortex based on a novel, web-based interactive system that allows experts to classify neurons with pre-determined criteria. Using Bayesian analysis and clustering algorithms on the resulting data, we investigated the suitability of several anatomical terms and neuron names for cortical GABAergic interneurons. Moreover, we show that supervised classification models could automatically categorize interneurons in agreement with experts' assignments. These results demonstrate a practical and objective approach to the naming, characterization and classification of neurons based on community consensus.

UR - http://www.scopus.com/inward/record.url?scp=84875424532&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84875424532&partnerID=8YFLogxK

U2 - 10.1038/nrn3444

DO - 10.1038/nrn3444

M3 - Article

VL - 14

SP - 202

EP - 216

JO - Nature Reviews Neuroscience

JF - Nature Reviews Neuroscience

SN - 1471-003X

IS - 3

ER -