Objective Morphological Classification of Neocortical Pyramidal Cells. 2019

Lida Kanari, and Srikanth Ramaswamy, and Ying Shi, and Sebastien Morand, and Julie Meystre, and Rodrigo Perin, and Marwan Abdellah, and Yun Wang, and Kathryn Hess, and Henry Markram
Blue Brain Project, Brain and Mind Institute, EPFL, Campus Biotech: CH 1202, Geneva, Switzerland.

A consensus on the number of morphologically different types of pyramidal cells (PCs) in the neocortex has not yet been reached, despite over a century of anatomical studies, due to the lack of agreement on the subjective classifications of neuron types, which is based on expert analyses of neuronal morphologies. Even for neurons that are visually distinguishable, there is no common ground to consistently define morphological types. The objective classification of PCs can be achieved with methods from algebraic topology, and the dendritic arborization is sufficient for the reliable identification of distinct types of cortical PCs. Therefore, we objectively identify 17 types of PCs in the rat somatosensory cortex. In addition, we provide a solution to the challenging problem of whether 2 similar neurons belong to different types or to a continuum of the same type. Our topological classification does not require expert input, is stable, and helps settle the long-standing debate on whether cell-types are discrete or continuous morphological variations of each other.

UI MeSH Term Description Entries
D008239 Lysine An essential amino acid. It is often added to animal feed. Enisyl,L-Lysine,Lysine Acetate,Lysine Hydrochloride,Acetate, Lysine,L Lysine
D010363 Pattern Recognition, Automated In INFORMATION RETRIEVAL, machine-sensing or identification of visible patterns (shapes, forms, and configurations). (Harrod's Librarians' Glossary, 7th ed) Automated Pattern Recognition,Pattern Recognition System,Pattern Recognition Systems
D000069553 Supervised Machine Learning A MACHINE LEARNING paradigm used to make predictions about future instances based on a given set of labeled paired input-output training (sample) data. Active Machine Learning,Inductive Machine Learning,Learning from Labeled Data,Machine Learning with a Teacher,Semi-supervised Learning,Learning, Active Machine,Learning, Inductive Machine,Learning, Semi-supervised,Learning, Supervised Machine,Machine Learning, Active,Machine Learning, Inductive,Machine Learning, Supervised,Semi supervised Learning
D000818 Animals Unicellular or multicellular, heterotrophic organisms, that have sensation and the power of voluntary movement. Under the older five kingdom paradigm, Animalia was one of the kingdoms. Under the modern three domain model, Animalia represents one of the many groups in the domain EUKARYOTA. Animal,Metazoa,Animalia
D013003 Somatosensory Cortex Area of the parietal lobe concerned with receiving sensations such as movement, pain, pressure, position, temperature, touch, and vibration. It lies posterior to the central sulcus. Brodmann Area 1,Brodmann Area 2,Brodmann Area 3,Brodmann Areas 1, 2, 3,Brodmann Areas 1, 2, and 3,Brodmann Areas 3, 1, 2,Brodmann Areas 3, 1, and 2,Brodmann's Area 1,Brodmann's Area 2,Brodmann's Area 3,Brodmann's Areas 1, 2, and 3,Brodmann's Areas 3, 1, and 2,Parietal-Opercular Cortex,Primary Somesthetic Area,S1 Cortex,S2 Cortex,SII Cortex,Anterior Parietal Cortex,Gyrus Postcentralis,Post Central Gyrus,Postcentral Gyrus,Primary Somatic Sensory Area,Primary Somatosensory Area,Primary Somatosensory Areas,Primary Somatosensory Cortex,SI Cortex,Second Somatic Sensory Area,Secondary Sensory Cortex,Secondary Somatosensory Area,Secondary Somatosensory Cortex,Area 1, Brodmann,Area 1, Brodmann's,Area 2, Brodmann,Area 2, Brodmann's,Area 3, Brodmann,Area 3, Brodmann's,Area, Primary Somatosensory,Area, Primary Somesthetic,Area, Secondary Somatosensory,Areas, Primary Somatosensory,Brodmanns Area 1,Brodmanns Area 2,Brodmanns Area 3,Cortex, Anterior Parietal,Cortex, Parietal-Opercular,Cortex, Primary Somatosensory,Cortex, S1,Cortex, S2,Cortex, SI,Cortex, SII,Cortex, Secondary Sensory,Cortex, Secondary Somatosensory,Cortex, Somatosensory,Gyrus, Post Central,Gyrus, Postcentral,Parietal Cortex, Anterior,Parietal Opercular Cortex,Parietal-Opercular Cortices,Primary Somatosensory Cortices,Primary Somesthetic Areas,S1 Cortices,S2 Cortices,SII Cortices,Secondary Somatosensory Areas,Sensory Cortex, Secondary,Somatosensory Area, Primary,Somatosensory Area, Secondary,Somatosensory Areas, Primary,Somatosensory Cortex, Primary,Somatosensory Cortex, Secondary,Somesthetic Area, Primary,Somesthetic Areas, Primary
D051381 Rats The common name for the genus Rattus. Rattus,Rats, Laboratory,Rats, Norway,Rattus norvegicus,Laboratory Rat,Laboratory Rats,Norway Rat,Norway Rats,Rat,Rat, Laboratory,Rat, Norway,norvegicus, Rattus
D017966 Pyramidal Cells Projection neurons in the CEREBRAL CORTEX and the HIPPOCAMPUS. Pyramidal cells have a pyramid-shaped soma with the apex and an apical dendrite pointed toward the pial surface and other dendrites and an axon emerging from the base. The axons may have local collaterals but also project outside their cortical region. Pyramidal Neurons,Cell, Pyramidal,Cells, Pyramidal,Neuron, Pyramidal,Neurons, Pyramidal,Pyramidal Cell,Pyramidal Neuron
D019579 Neocortex The largest portion of the CEREBRAL CORTEX in which the NEURONS are arranged in six layers in the mammalian brain: molecular, external granular, external pyramidal, internal granular, internal pyramidal and multiform layers. Cerebral Neocortex,External Granular Layer,Isocortex,Neocortical External Granular Layer,Neocortical External Pyramidal Layer,Neocortical Internal Granular Layer,Neocortical Internal Pyramidal Layer,Neocortical Molecular Layer,Neocortical Multiform Layer,Neopallial Cortex,Neopallium,Substantia Corticalis,Cerebral Neocortices,Cortex, Neopallial,Corticali, Substantia,Corticalis, Substantia,Cortices, Neopallial,External Granular Layers,Granular Layer, External,Granular Layers, External,Isocortices,Layer, External Granular,Layer, Neocortical Molecular,Layer, Neocortical Multiform,Layers, External Granular,Layers, Neocortical Molecular,Layers, Neocortical Multiform,Molecular Layer, Neocortical,Molecular Layers, Neocortical,Multiform Layer, Neocortical,Multiform Layers, Neocortical,Neocortex, Cerebral,Neocortical Molecular Layers,Neocortical Multiform Layers,Neocortices,Neocortices, Cerebral,Neopallial Cortices,Neopalliums,Substantia Corticali
D021621 Imaging, Three-Dimensional The process of generating three-dimensional images by electronic, photographic, or other methods. For example, three-dimensional images can be generated by assembling multiple tomographic images with the aid of a computer, while photographic 3-D images (HOLOGRAPHY) can be made by exposing film to the interference pattern created when two laser light sources shine on an object. Computer-Assisted Three-Dimensional Imaging,Imaging, Three-Dimensional, Computer Assisted,3-D Image,3-D Imaging,Computer-Generated 3D Imaging,Three-Dimensional Image,Three-Dimensional Imaging, Computer Generated,3 D Image,3 D Imaging,3-D Images,3-D Imagings,3D Imaging, Computer-Generated,3D Imagings, Computer-Generated,Computer Assisted Three Dimensional Imaging,Computer Generated 3D Imaging,Computer-Assisted Three-Dimensional Imagings,Computer-Generated 3D Imagings,Image, 3-D,Image, Three-Dimensional,Images, 3-D,Images, Three-Dimensional,Imaging, 3-D,Imaging, Computer-Assisted Three-Dimensional,Imaging, Computer-Generated 3D,Imaging, Three Dimensional,Imagings, 3-D,Imagings, Computer-Assisted Three-Dimensional,Imagings, Computer-Generated 3D,Imagings, Three-Dimensional,Three Dimensional Image,Three Dimensional Imaging, Computer Generated,Three-Dimensional Images,Three-Dimensional Imaging,Three-Dimensional Imaging, Computer-Assisted,Three-Dimensional Imagings,Three-Dimensional Imagings, Computer-Assisted

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