Objective Morphological Classification of Neocortical Pyramidal Cells
Abstract 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...
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| Vydané v: | Cerebral cortex (New York, N.Y. 1991) Ročník 29; číslo 4; s. 1719 - 1735 |
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| Hlavní autori: | , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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United States
Oxford University Press
01.04.2019
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| ISSN: | 1047-3211, 1460-2199, 1460-2199 |
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| Abstract | Abstract
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. |
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| AbstractList | 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.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. Abstract 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. 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. |
| Author | Perin, Rodrigo Markram, Henry Hess, Kathryn Abdellah, Marwan Shi, Ying Morand, Sebastien Wang, Yun Meystre, Julie Ramaswamy, Srikanth Kanari, Lida |
| Author_xml | – sequence: 1 givenname: Lida surname: Kanari fullname: Kanari, Lida email: lida.kanari@epfl.ch organization: Blue Brain Project, Brain and Mind Institute, EPFL, Campus Biotech: CH 1202, Geneva, Switzerland – sequence: 2 givenname: Srikanth surname: Ramaswamy fullname: Ramaswamy, Srikanth organization: Blue Brain Project, Brain and Mind Institute, EPFL, Campus Biotech: CH 1202, Geneva, Switzerland – sequence: 3 givenname: Ying surname: Shi fullname: Shi, Ying organization: Blue Brain Project, Brain and Mind Institute, EPFL, Campus Biotech: CH 1202, Geneva, Switzerland – sequence: 4 givenname: Sebastien surname: Morand fullname: Morand, Sebastien organization: Laboratory for Topology and Neuroscience, Brain Mind Institute, EPFL, CH 1015, Lausanne, Switzerland – sequence: 5 givenname: Julie surname: Meystre fullname: Meystre, Julie organization: Laboratory of Neural Microcircuitry, Brain Mind Institute, EPFL, CH 1015, Lausanne, Switzerland – sequence: 6 givenname: Rodrigo surname: Perin fullname: Perin, Rodrigo organization: Laboratory of Neural Microcircuitry, Brain Mind Institute, EPFL, CH 1015, Lausanne, Switzerland – sequence: 7 givenname: Marwan surname: Abdellah fullname: Abdellah, Marwan organization: Blue Brain Project, Brain and Mind Institute, EPFL, Campus Biotech: CH 1202, Geneva, Switzerland – sequence: 8 givenname: Yun surname: Wang fullname: Wang, Yun organization: School of Optometry and Ophthalmology, Wenzhou Medical College, Wenzhou, Zhejiang, PR China – sequence: 9 givenname: Kathryn surname: Hess fullname: Hess, Kathryn organization: Laboratory for Topology and Neuroscience, Brain Mind Institute, EPFL, CH 1015, Lausanne, Switzerland – sequence: 10 givenname: Henry surname: Markram fullname: Markram, Henry email: henry.markram@epfl.ch organization: Blue Brain Project, Brain and Mind Institute, EPFL, Campus Biotech: CH 1202, Geneva, Switzerland |
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| Keywords | neuronal classification rat somatosensory cortex pyramidal cells neuronal morphology topological data analysis |
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A consensus on the number of morphologically different types of pyramidal cells (PCs) in the neocortex has not yet been reached, despite over a... 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... |
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