Producing and Analyzing Macro-Connectomes: Current State and Challenges
Construction of comprehensive and detailed brain regions neuroanatomical connections matrices (macro-connectomes) is necessary to understand how the nervous system is organized and to elucidate how its different parts interact. Macro-connectomes also are the structural foundation of any finer granul...
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| Formato: | Online |
| Idioma: | inglês |
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Frontiers Media SA
2021
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| Acesso em linha: | 18368 |
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| author | Mihail Bota Marcus Kaiser Sharon Crook |
| author_browse | Marcus Kaiser Mihail Bota Sharon Crook |
| author_facet | Mihail Bota Marcus Kaiser Sharon Crook |
| author_sort | Mihail Bota |
| collection | Directory of Open Access Books |
| description | Construction of comprehensive and detailed brain regions neuroanatomical connections matrices (macro-connectomes) is necessary to understand how the nervous system is organized and to elucidate how its different parts interact. Macro-connectomes also are the structural foundation of any finer granularity approaches at the neuron classes and types (meso-connectomes) or individual neuron (micro-connectomes) levels. The advent of novel neuroanatomical methods, as well as combinations of classic techniques, form the basis of several large scale projects with the ultimate goal of producing publicly available connectomes at different levels. A parallel approach, that of systematic and comprehensive collation of connectivity data from the published literature and from publicly accessible neuroinformatics platforms, has produced macro-connectomes of different parts of the central nervous system (CNS) in several mammalian species. The emergence of these public platforms that allow for the manipulation of rich connectivity data sets and enable the construction of CNS macro-connectomes in different species may have significant and long lasting implications. Moreover, when these efforts are leveraged by novel statistical methods, they may influence our way of thinking about the brain. Hence, the present brain region-centric paradigm may be challenged by a network-centric one. Ultimately, these projects will provide the information and knowledge for understanding how different neuronal parts communicate and function, developing novel approaches to diseases and disorders, and facilitating translational efforts in neurosciences. With this Research Topic we bring together the current state of macro-connectome related projects including the large scale production of thousands of publicly available neuronatomical experiments, databases with tens of thousands of connectivity records collated from the published literature, and the newest methods for displaying and analyzing this information. This topic also includes a wide range of challenges and how they are addressed - from platforms designed to integrate connectivity data across different sources, species and CNS levels of organization, to languages specifically designed to use these data in models at different scales of resolution, to efforts of 3D reconstruction and data integration, and to approaches for extraction and representation of this knowledge. Finally, we address the present state of different efforts of meso-connectomes construction, and of computational modeling in the context of the |
| format | Online |
| id | doab-20.500.12854ir-57088 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Frontiers Media SA |
| publisherStr | Frontiers Media SA |
| record_format | ojs |
| spelling | doab-20.500.12854ir-570882024-04-05T12:35:56Z Producing and Analyzing Macro-Connectomes: Current State and Challenges Mihail Bota Marcus Kaiser Sharon Crook RC321-571 Q1-390 brain connectivity brain map neuroinformatics functional connectivity Brain region macro-connectome Computational Neuroanatomy structural networks neuroanatomy data thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences Construction of comprehensive and detailed brain regions neuroanatomical connections matrices (macro-connectomes) is necessary to understand how the nervous system is organized and to elucidate how its different parts interact. Macro-connectomes also are the structural foundation of any finer granularity approaches at the neuron classes and types (meso-connectomes) or individual neuron (micro-connectomes) levels. The advent of novel neuroanatomical methods, as well as combinations of classic techniques, form the basis of several large scale projects with the ultimate goal of producing publicly available connectomes at different levels. A parallel approach, that of systematic and comprehensive collation of connectivity data from the published literature and from publicly accessible neuroinformatics platforms, has produced macro-connectomes of different parts of the central nervous system (CNS) in several mammalian species. The emergence of these public platforms that allow for the manipulation of rich connectivity data sets and enable the construction of CNS macro-connectomes in different species may have significant and long lasting implications. Moreover, when these efforts are leveraged by novel statistical methods, they may influence our way of thinking about the brain. Hence, the present brain region-centric paradigm may be challenged by a network-centric one. Ultimately, these projects will provide the information and knowledge for understanding how different neuronal parts communicate and function, developing novel approaches to diseases and disorders, and facilitating translational efforts in neurosciences. With this Research Topic we bring together the current state of macro-connectome related projects including the large scale production of thousands of publicly available neuronatomical experiments, databases with tens of thousands of connectivity records collated from the published literature, and the newest methods for displaying and analyzing this information. This topic also includes a wide range of challenges and how they are addressed - from platforms designed to integrate connectivity data across different sources, species and CNS levels of organization, to languages specifically designed to use these data in models at different scales of resolution, to efforts of 3D reconstruction and data integration, and to approaches for extraction and representation of this knowledge. Finally, we address the present state of different efforts of meso-connectomes construction, and of computational modeling in the context of the 2021-02-12T00:02:38Z 2021-02-12T00:02:38Z 2016-01-19 14:05:46 2016 book 18368 16648714 9782889199815 https://directory.doabooks.org/handle/20.500.12854/57088 eng Frontiers Research Topics image/jpeg Attribution 4.0 International http://www.frontiersin.org/books/Producing_and_Analyzing_Macro-Connectomes_Current_State_and_Challenges/1035#nogo http://journal.frontiersin.org/researchtopic/1828/producing-and-analyzing-macro-connectomes-current-state-and-challenges Frontiers Media SA 10.3389/978-2-88919-981-5 10.3389/978-2-88919-981-5 bf5ce210-e72e-4860-ba9b-c305640ff3ae 9782889199815 139 open access |
| spellingShingle | RC321-571 Q1-390 brain connectivity brain map neuroinformatics functional connectivity Brain region macro-connectome Computational Neuroanatomy structural networks neuroanatomy data thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences Mihail Bota Marcus Kaiser Sharon Crook Producing and Analyzing Macro-Connectomes: Current State and Challenges |
| title | Producing and Analyzing Macro-Connectomes: Current State and Challenges |
| title_full | Producing and Analyzing Macro-Connectomes: Current State and Challenges |
| title_fullStr | Producing and Analyzing Macro-Connectomes: Current State and Challenges |
| title_full_unstemmed | Producing and Analyzing Macro-Connectomes: Current State and Challenges |
| title_short | Producing and Analyzing Macro-Connectomes: Current State and Challenges |
| title_sort | producing and analyzing macro connectomes current state and challenges |
| topic | RC321-571 Q1-390 brain connectivity brain map neuroinformatics functional connectivity Brain region macro-connectome Computational Neuroanatomy structural networks neuroanatomy data thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences |
| topic_facet | RC321-571 Q1-390 brain connectivity brain map neuroinformatics functional connectivity Brain region macro-connectome Computational Neuroanatomy structural networks neuroanatomy data thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences |
| url | 18368 |
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