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; Gord Fishell; David Fitzpatrick; Tamás F. Freund; Guillermo González-Burgos; Shaul Hestrin; Sean Hill; Patrick R. Hof; Josh Huang; Edward G. Jones; Yasuo Kawaguchi; 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

doi:10.1038/nrn3444

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, Gord Fishell, David Fitzpatrick, Tamás F. Freund, Guillermo González-Burgos, Shaul Hestrin, Sean Hill, Patrick R. Hof, Josh Huang, Edward G. Jones, Yasuo KawaguchiZoltán 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

Center for Genomics and Systems Biology

Research output: Contribution to journal › Article › peer-review

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 language	English (US)
Pages (from-to)	202-216
Number of pages	15
Journal	Nature Reviews Neuroscience
Volume	14
Issue number	3
DOIs	https://doi.org/10.1038/nrn3444
State	Published - Mar 2013

ASJC Scopus subject areas

General Neuroscience

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10.1038/nrn3444

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Defelipe, J., López-Cruz, P. L., Benavides-Piccione, R., Bielza, C., Larrañaga, P., Anderson, S., Burkhalter, A., Cauli, B., Fairén, A., Feldmeyer, D., Fishell, G., Fitzpatrick, D., Freund, T. F., González-Burgos, G., Hestrin, S., Hill, S., Hof, P. R., Huang, J., Jones, E. G., ... 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

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

@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 Gord 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.}",

note = "Funding Information: We thank the experts who took part in testing neuron classification using the web-based interactive system (in addition to the authors of the article), in alphabetical order: L. Alonso-Nanclares, C. D{\'a}vid, H. Geoffroy, M. Inan, V. Garcia-Mar{\'i}n, {\'A}. Merch{\'a}n-P{\'e}rez, L. McGarry, A. Mu{\~n}oz, C. Palazzetti, N. Povysheva, D. Rotaru, R. Scott, R. Tremblay and A. Zaitsev. This work was supported by funding from the Spanish Ministry of Economy and Competitiveness (grants TIN2010-20900-C04-04 (to P.L.), SAF2009-09394 (to J.DF.) and the Cajal Blue Brain Project, Spanish partner of the Blue Brain Project initiative from EPFL (to J.DF. and P.L.)) and the National Institutes of Health under Grant R01-39600 (to G.A.A.).",

year = "2013",

month = mar,

doi = "10.1038/nrn3444",

language = "English (US)",

volume = "14",

pages = "202--216",

journal = "Nature Reviews Neuroscience",

issn = "1471-003X",

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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, Gord

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.

N1 - Funding Information: We thank the experts who took part in testing neuron classification using the web-based interactive system (in addition to the authors of the article), in alphabetical order: L. Alonso-Nanclares, C. Dávid, H. Geoffroy, M. Inan, V. Garcia-Marín, Á. Merchán-Pérez, L. McGarry, A. Muñoz, C. Palazzetti, N. Povysheva, D. Rotaru, R. Scott, R. Tremblay and A. Zaitsev. This work was supported by funding from the Spanish Ministry of Economy and Competitiveness (grants TIN2010-20900-C04-04 (to P.L.), SAF2009-09394 (to J.DF.) and the Cajal Blue Brain Project, Spanish partner of the Blue Brain Project initiative from EPFL (to J.DF. and P.L.)) and the National Institutes of Health under Grant R01-39600 (to G.A.A.).

PY - 2013/3

Y1 - 2013/3

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.

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JF - Nature Reviews Neuroscience

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New insights into the classification and nomenclature of cortical GABAergic interneurons

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