42
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Quantitative Classification of Somatostatin-Positive Neocortical Interneurons Identifies Three Interneuron Subtypes

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Deciphering the circuitry of the neocortex requires knowledge of its components, making a systematic classification of neocortical neurons necessary. GABAergic interneurons contribute most of the morphological, electrophysiological and molecular diversity of the cortex, yet interneuron subtypes are still not well defined. To quantitatively identify classes of interneurons, 59 GFP-positive interneurons from a somatostatin-positive mouse line were characterized by whole-cell recordings and anatomical reconstructions. For each neuron, we measured a series of physiological and morphological variables and analyzed these data using unsupervised classification methods. PCA and cluster analysis of morphological variables revealed three groups of cells: one comprised of Martinotti cells, and two other groups of interneurons with short asymmetric axons targeting layers 2/3 and bending medially. PCA and cluster analysis of electrophysiological variables also revealed the existence of these three groups of neurons, particularly with respect to action potential time course. These different morphological and electrophysiological characteristics could make each of these three interneuron subtypes particularly suited for a different function within the cortical circuit.

          Related collections

          Most cited references46

          • Record: found
          • Abstract: found
          • Article: not found

          Interneurons of the neocortical inhibitory system.

          Mammals adapt to a rapidly changing world because of the sophisticated cognitive functions that are supported by the neocortex. The neocortex, which forms almost 80% of the human brain, seems to have arisen from repeated duplication of a stereotypical microcircuit template with subtle specializations for different brain regions and species. The quest to unravel the blueprint of this template started more than a century ago and has revealed an immensely intricate design. The largest obstacle is the daunting variety of inhibitory interneurons that are found in the circuit. This review focuses on the organizing principles that govern the diversity of inhibitory interneurons and their circuits.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Cortical inhibitory neurons and schizophrenia.

            Impairments in certain cognitive functions, such as working memory, are core features of schizophrenia. Convergent findings indicate that a deficiency in signalling through the TrkB neurotrophin receptor leads to reduced GABA (gamma-aminobutyric acid) synthesis in the parvalbumin-containing subpopulation of inhibitory GABA neurons in the dorsolateral prefrontal cortex of individuals with schizophrenia. Despite both pre- and postsynaptic compensatory responses, the resulting alteration in perisomatic inhibition of pyramidal neurons contributes to a diminished capacity for the gamma-frequency synchronized neuronal activity that is required for working memory function. These findings reveal specific targets for therapeutic interventions to improve cognitive function in individuals with schizophrenia.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Petilla terminology: nomenclature of features of GABAergic interneurons of the cerebral cortex.

              Neuroscience produces a vast amount of data from an enormous diversity of neurons. A neuronal classification system is essential to organize such data and the knowledge that is derived from them. Classification depends on the unequivocal identification of the features that distinguish one type of neuron from another. The problems inherent in this are particularly acute when studying cortical interneurons. To tackle this, we convened a representative group of researchers to agree on a set of terms to describe the anatomical, physiological and molecular features of GABAergic interneurons of the cerebral cortex. The resulting terminology might provide a stepping stone towards a future classification of these complex and heterogeneous cells. Consistent adoption will be important for the success of such an initiative, and we also encourage the active involvement of the broader scientific community in the dynamic evolution of this project.
                Bookmark

                Author and article information

                Journal
                Front Neural Circuits
                Front. Neural Circuits
                Frontiers in Neural Circuits
                Frontiers Research Foundation
                1662-5110
                09 January 2010
                14 May 2010
                2010
                : 4
                : 12
                Affiliations
                [1] 1simpleDepartment of Biological Sciences, Howard Hughes Medical Institute, Columbia University New York, NY, USA
                Author notes

                Edited by: Gábor Tamás, University of Szeged, Hungary

                Reviewed by: Alejandro F. Schinder, Leloir Institute, Argentina; Laszlo Acsady, Institute of Experimental Medicine, Hungary

                *Correspondence: Laura M. McGarry, Department of Biological Sciences, Columbia University, 1212 Amsterdam Avenue, Box 2435, New York, NY 10027, USA. e-mail: lmm2178@ 123456columbia.edu.
                Article
                10.3389/fncir.2010.00012
                2896209
                20617186
                cd355ca8-0d36-46f5-a09b-cf608d2ba436
                Copyright © 2010 McGarry, Packer, Fino, Nikolenko, Sippy and Yuste.

                This is an open-access article subject to an exclusive license agreement between the authors and the Frontiers Research Foundation, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited.

                History
                : 18 December 2009
                : 29 March 2010
                Page count
                Figures: 5, Tables: 7, Equations: 0, References: 56, Pages: 19, Words: 14741
                Categories
                Neuroscience
                Original Research

                Neurosciences
                gaba,pca,martinotti,cluster,neurolucida
                Neurosciences
                gaba, pca, martinotti, cluster, neurolucida

                Comments

                Comment on this article