9
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Editorial: Recent Developments in Neuroanatomical Terminology

      editorial

      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

          A recent revision of the terminology of the sections titled the “Central nervous system” (CNS) and the “Peripheral nervous system” (PNS) within the Terminologia Anatomica (1998) and the Terminologia Histologica (2008) has been posted to the open part of the Federative International Programme for Anatomical Terminology (FIPAT) website (http://FIPAT.library.dal.ca) as the official FIPAT terminology for the nervous system, the Terminologia Neuroanatomica (TNA, 2017). A third chapter deals with the sensory organs. The major differences between the TNA and the TA and TH have been outlined in an introductory paper (ten Donkelaar et al., 2017). For an illustrated version of the TNA, see ten Donkelaar et al. (2018). In general, the TNA uses a more natural hierarchical and embryologically-based classification of brain structures for the prosencephalon (forebrain), following the prosomeric model (Puelles, 2013; Puelles et al., 2013). Neuron types are implemented for all of the sections. Given these novelties, involving a framework change in the prevalent neuromorphological descriptive paradigm (that is, the current prosomeric model vs. Herrick's columnar model), and their potential impact on the future communication of neuroanatomical research results, the scientific community might profit from a wider discussion of the FIPAT's decisions. Accordingly, discussion focused on the following topics: Further development of a developmental ontology. Three papers discuss the further implementation of a developmental ontology into neuroanatomical terminology: (1) The subdivision of the forebrain based on embryological and genoarchitectonic studies; the forebrain is subdivided into the caudal prosencephalon, giving rise to the midbrain-diencephalon (midbrain, pretectum, thalamus with epithalamus, prethalamus, and related tegmental parts), and the rostral prosencephalon, giving rise to the hypothalamus, the eyes, and the entire telencephalon. Puelles' review surveys midbrain, diencephalic, and hypothalamic neuroanatomical concepts and various recent findings whose prosomeric pregnancy conflicts with columnar tradition, leaving a complex scenario with many terminological problems to be gradually resolved within the field. He also contributes an updated prosomeric concept of the diencephalic-telencephalic transition. (2) New definition of midbrain boundaries and corresponding alar subdivisions; the transgenic approach establishes a new concept of the isthmocerebellar or prepontine hindbrain (Watson et al., 2017), conventionally misidentified as a part of the midbrain. Another novel aspect touches the conventional pons, which is subdivided into prepontine, pontine, and retropontine or pontomedullary hindbrain neuromeric domains, restricting the term pons to the basilar part of the pons. The contribution by Watson et al. recommends a new brain stem nomenclature based on developmental gene expression, progeny analysis, and fate mapping. (3) In the TNA, a modernized version of the blood vessels of the brain with clinical subdivisions is included to ensure it contains a more or less complete list of terms for the human nervous system. The paper by Ferran's group attempts a prosomeric molecular-marker analysis of the early vascularization of the embryonic mouse forebrain and presents a tentative topological map relating human brain vessels to specifc segmental and dorsoventral units, also touching on some terminological issues (Puelles et al.). Common terminology for cerebral cortex and thalamus. Three papers deal with aspects of the nomenclature for the cerebral cortex and the thalamus: (1) one aiming for a common terminology for the gyri and sulci of the cerebral cortex (ten Donkelaar et al.); (2) a second on the cytoarchitectonic areas of the gyrus ambiens (Insausti et al.), incorporating the Brodmann area 34 into the entorhinal cortex; and (3) a third on subdivisions for the thalamic nuclei. Mai and Majtanik contributed an extensive review of the various terminologies used for thalamic nuclei, using a new volumetric approach to characterize the significant subdivisions, normalizing the individual thalamus shapes in MNI space, which allows comparison of the nuclear regions delineated by the different authors. Their final scheme of the spatial organization provided the frame for the selected terms for the subdivisions of the human thalamus using on the (modified) terminology of the TNA. White matter tracts. Two papers deal with white matter tracts, which in the TNA follows the Swanson and Bota (2010) classification as central roots, intrinsic tracts, commissural connections and long tracts, divided into ascending and descending tracts: (1) Baud et al. address a new scheme for the representation of white matter in the CNS. In this approach, white matter is directly attached to the CNS, and no longer considered part of the brain segments. The new classification of white matter tracts selects the origin as the primary criterion and the type of tract as the secondary criterion. It follows a top-down approach from telencephalon to spinal cord; (2) Mandonnet et al. discuss the nomenclature of the human white matter association pathways and propose a new nomenclature based on the structural wiring diagram of the human brain; and (3) in a Commentary, Panesar and Fernández-Miranda emphasize that cortical connectivity should be identified on the basis of their origin, termination and axonal properties. Neuron types. In the TNA, the terms for the various types of neurons provided by Bota and Swanson (2007) are used. Three papers deal with aspects of this topic: (1) one on auditory nomenclature, combining name recognition with anatomical description, which should help future generations in learning the structure-function correlates of the inner ear more easily (Fritzsch and Elliott); (2) a second on neural progenitor cell (NPC) nomenclature, including embryonic and adult precursor cells of the cerebral cortex and the hippocampus, increasing our knowledge of what is ultimately most important, i.e., understanding NPC function in the developing as well as in the adult CNS (Martínez-Cerdeño and Noctor); and (3) a major one on neuron names in a gene- and property-based format, with special reference to cortical neurons (Shepherd et al.). Precision in neuron name is increasingly needed now that we are entering a new era in which classic anatomical criteria are only the beginning of defining the identity of a neuron. New criteria include patterns of gene expression, membrane properties, neurotransmitters and neuropeptides, and physiological properties. Related to this topic is (4) a paper on navigating the murine brain aimed toward best practices for determining and documenting neuroanatomical locations in experimental studies (Bjerke et al.). The suggestions made to improve the TNA will be considered in the next version of the TNA. Neuroanatomical terminology remains an actively ongoing endeavor. Author Contributions HtD and LP designed the Research Topic, invited contributors and edited most of the manuscripts. Conflict of Interest Statement The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

          Related collections

          Most cited references5

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

          A developmental ontology for the mammalian brain based on the prosomeric model.

          In the past, attempts to create a hierarchical classification of brain structures (an ontology) have been limited by the lack of adequate data on developmental processes. Recent studies on gene expression during brain development have demonstrated the true morphologic interrelations of different parts of the brain. A developmental ontology takes into account the progressive rostrocaudal and dorsoventral differentiation of the neural tube, and the radial migration of derivatives from progenitor areas, using fate mapping and other experimental techniques. In this review, we used the prosomeric model of brain development to build a hierarchical classification of brain structures based chiefly on gene expression. Because genomic control of neural morphogenesis is remarkably conservative, this ontology should prove essentially valid for all vertebrates, aiding terminological unification. Crown Copyright © 2013. Published by Elsevier Ltd. All rights reserved.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The neuron classification problem.

            A systematic account of neuron cell types is a basic prerequisite for determining the vertebrate nervous system global wiring diagram. With comprehensive lineage and phylogenetic information unavailable, a general ontology based on structure-function taxonomy is proposed and implemented in a knowledge management system, and a prototype analysis of select regions (including retina, cerebellum, and hypothalamus) presented. The supporting Brain Architecture Knowledge Management System (BAMS) Neuron ontology is online and its user interface allows queries about terms and their definitions, classification criteria based on the original literature and "Petilla Convention" guidelines, hierarchies, and relations-with annotations documenting each ontology entry. Combined with three BAMS modules for neural regions, connections between regions and neuron types, and molecules, the Neuron ontology provides a general framework for physical descriptions and computational modeling of neural systems. The knowledge management system interacts with other web resources, is accessible in both XML and RDF/OWL, is extendible to the whole body, and awaits large-scale data population requiring community participation for timely implementation.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Foundational model of structural connectivity in the nervous system with a schema for wiring diagrams, connectome, and basic plan architecture.

              The nervous system is a biological computer integrating the body's reflex and voluntary environmental interactions (behavior) with a relatively constant internal state (homeostasis)-- promoting survival of the individual and species. The wiring diagram of the nervous system's structural connectivity provides an obligatory foundational model for understanding functional localization at molecular, cellular, systems, and behavioral organization levels. This paper provides a high-level, downwardly extendible, conceptual framework--like a compass and map--for describing and exploring in neuroinformatics systems (such as our Brain Architecture Knowledge Management System) the structural architecture of the nervous system's basic wiring diagram. For this, the Foundational Model of Connectivity's universe of discourse is the structural architecture of nervous system connectivity in all animals at all resolutions, and the model includes two key elements--a set of basic principles and an internally consistent set of concepts (defined vocabulary of standard terms)--arranged in an explicitly defined schema (set of relationships between concepts) allowing automatic inferences. In addition, rules and procedures for creating and modifying the foundational model are considered. Controlled vocabularies with broad community support typically are managed by standing committees of experts that create and refine boundary conditions, and a set of rules that are available on the Web.
                Bookmark

                Author and article information

                Contributors
                Journal
                Front Neuroanat
                Front Neuroanat
                Front. Neuroanat.
                Frontiers in Neuroanatomy
                Frontiers Media S.A.
                1662-5129
                07 August 2019
                2019
                : 13
                : 80
                Affiliations
                [1] 1Department of Neurology, Radboud University Medical Center , Nijmegen, Netherlands
                [2] 2Department of Human Anatomy and Psychobiology, Facluty of Medicine, Universidad de Murcia , Murcia, Spain
                Author notes

                Edited and reviewed by: Javier DeFelipe, Cajal Institute (CSIC), Spain

                *Correspondence: Hans J. ten Donkelaar hans.tendonkelaar@ 123456radboudumc.nl
                Article
                10.3389/fnana.2019.00080
                6692661
                5aaed3e4-95e3-425d-a88b-5d59ad130d1d
                Copyright © 2019 ten Donkelaar and Puelles.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 12 July 2019
                : 25 July 2019
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 8, Pages: 3, Words: 1562
                Categories
                Neuroscience
                Editorial

                Neurosciences
                terminology,prosomeric model,cerebral cortex,thalamus,neural progenitor cells,neuron types,tracts

                Comments

                Comment on this article