New insights into the classification and nomenclature of cortical GABAergic interneurons View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2013-02-06

AUTHORS

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 Wang, Rafael Yuste, Giorgio A. Ascoli

ABSTRACT

Key PointsA feature-based classification and agreed-upon nomenclature of GABAergic interneurons of the cerebral cortex is much needed but currently lacking.We designed a web-based interactive system that allowed 42 neuroscience experts to classify a representative sample of 320 cortical neurons and a selected set of simple morphology features based on reconstructions of their axonal arbors.The consensus on and usefulness of these features and neuron names were investigated using agreement analysis, clustering algorithms, Bayesian networks and supervised classification on the resulting data.The results quantitatively confirm the impression that different investigators use their own, mutually inconsistent classification schemes based on morphological criteria. However, the analyses also demonstrate that the community may be reaching consensus for a practical approach to the naming of certain anatomical terms that are useful for neuronal characterization and classification.State-of-the-art machine learning approaches were shown to achieve discrimination capability equivalent to or better than human performance, opening the possibility of creating an objective computer tool for automatic classification of neurons, a Neuroclassifier. More... »

PAGES

202-216

Journal

TITLE

Nature Reviews Neuroscience

ISSUE

3

VOLUME

14

Author Affiliations

  • Instituto Cajal (CSIC), Avenida Doctor Arce 37, 28002, Madrid, Spain
  • Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, Campus de Montegancedo S/N, Boadilla del Monte, 28660, Madrid, Spain
  • Children's Hospital of Philadelphia, University of Pennsylvania School of Medicine, ARC 517, 3615 Civic Center Boulevard, 19104-5127, Philadelphia, Pennsylvania, USA
  • Department of Anatomy and Neurobiology, Washington University School of Medicine, 63110, St. Louis, Missouri, USA
  • Réseau Cortical et Couplage Neurovasculaire, Laboratoire de Neurobiologie des Processus Adaptatifs UMR 7102 CNRS-UPMC, 9 Quai Saint-Bernard, 75 005, Paris, France
  • Instituto de Neurociencias, CSIC & Universidad Miguel Hernández, Sant Joan d'Alacant, 03550, Alicante, Spain
  • Department of Psychiatry and Psychotherapy, Rheinisch-Westfaelische Technische Hochschule, Aachen University, Pauwelsstr. 30, D-52074, Aachen, Germany
  • NYU Neuroscience Institute Department of Physiology and Neuroscience, New York University Langone Medical Center, 10016, New York, New York, USA
  • Max Planck Florida Institute for Neuroscience, 1 Max Planck Way, Jupiter, 33468, Florida, USA
  • Hungarian Academy of Sciences, Institute of Experimental Medicine, Szigony u. 43, H-1083, Budapest, Hungary
  • Department of Psychiatry, University of Pittsburgh School of Medicine, Biomedical Science Tower, 200 Lothrop Street, 15261, Pittsburgh, Pennsylvania, USA
  • Department of Comparative Medicine, Stanford University School of Medicine, 300 Pasteur Drive, Edwards 312/314, 94305, Stanford, California, USA
  • Brain Mind Institute Ecole Polytechnique, Fédérale de Lausanne, CH-1015, Lausanne, Switzerland
  • Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, 10029, New York, New York, USA
  • Beckman Building, Cold Spring Harbor Laboratory, 1 Bungtown Road, 11724, Cold Spring Harbor, New York, USA
  • In memory of Ted Jones
  • Division of Cerebral Circuitry, National Institute for Physiological Sciences, Myodaiji, 444-8787, Okazaki, Japan
  • Department of Anatomy, Histology and Embryology, University of Debrecen, Debrecen, Hungary
  • Eunice Kennedy Shriver National Institute of Child Health and Human Development, 35 Lincoln Drive, 20892-3715, Bethesda, Maryland, USA
  • Department of Neurosurgery, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
  • Department of Clinical Neurobiology University Hospital and German Cancer Research Center (DKFZ) Heidelberg, 69120, Heidelberg, Germany
  • Department of Biology and Center for Behavioral Genomics, Brandeis University, 02454, Waltham, Massachusetts, USA
  • Department of Anatomy and Neurobiology, Boston University School of Medicine, 72 East Concord Street, 02118, Boston, Massachusetts, USA
  • CPN INSERM U894, Hôpital Sainte Anne, 2 ter rue d'Alésia, 75014, Paris, France
  • University of California, 94143-2611, San Francisco, California, USA
  • New York University, 522 First Avenue, Smilow Research Building, 10016, New York, New York, USA
  • Division of Biology, Howard Hughes Medical Institute, University of California, San Diego, Neurobiology Section 0634, 9500 Gilman Drive, 92093-0634, La Jolla, California, USA
  • Department of Neuroscience, Yale University School of Medicine, 06520-8001, New Haven, Connecticut, USA
  • Department of Anthropology, Center for the Advanced Study of Hominid Paleobiology and GW Institute for Neuroscience, The George Washington University, 20052, Washington, DC, USA
  • Abteilung Neuroanatomie, Georg-August-Universität Göttingen – Zentrum Anatomie, Kreuzbergring 36, D-37075, Göttingen, Germany
  • Department of Physiology, Anatomy and Neuroscience. University of Szeged, H-6726, Szeged, Hungary
  • Department of Pharmacology, University College of London School of Pharmacy, WC1N 1AX, London, UK
  • Steward St. Elizabeth's Medical Center. Tufts Medical School, 02135, Boston, Massachusetts, USA
  • Howard Hughes Medical Institute, Columbia University, Biological Sciences, 550 West 120th Street, 10027, New York, New York, USA
  • and Plasticity Molecular Neuroscience Department, Center for Neural Informatics, Structure, Krasnow Institute for Advanced Study MS2A1, George Mason University, 22030-4444, Fairfax, Virginia, USA
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/nrn3444

    DOI

    http://dx.doi.org/10.1038/nrn3444

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1039816759

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/23385869


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