LEADER 01936nas 2200613-a 450 001 996218639303316 005 20230215213018.0 011 $a1543-5180 035 $a(DE-599)ZDB2030743-3 035 $a(OCoLC)50409812 035 $a(CKB)991042728191368 035 $a(CONSER)--2003214673 035 $a(EXLCZ)99991042728191368 100 $a20020814b20012018 s-- a 101 0 $aeng 135 $aurmnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCell communication & adhesion 210 1$a[London] :$cGordon and Breach 210 31$aPhiladelphia, Pa. :$cTaylor & Francis, 2003- 300 $aRefereed/Peer-reviewed 300 $aPublished: Philadelphia, Pa. : Taylor & Francis, 2003- 311 $a1541-9061 517 3 $aCell communication and adhesion 531 $aCELL COMMUNICATION AND ADHESION 531 $aCELL COMMUN ADHES 531 $aCELL COMMUN. ADHES 531 0 $aCell commun. adhes. 606 $aCell adhesion$vPeriodicals 606 $aCell interaction$vPeriodicals 606 $aCellular signal transduction$vPeriodicals 606 $aHistology$2ebps 606 $aMolecular Biology$2ebps 606 $aCell adhesion$2fast$3(OCoLC)fst00850164 606 $aCell interaction$2fast$3(OCoLC)fst00850189 606 $aCellular signal transduction$2fast$3(OCoLC)fst00850288 608 $aPeriodicals.$2fast 615 0$aCell adhesion 615 0$aCell interaction 615 0$aCellular signal transduction 615 7$aHistology. 615 7$aMolecular Biology. 615 7$aCell adhesion. 615 7$aCell interaction. 615 7$aCellular signal transduction. 676 $a571 712 02$aGordon and Breach Science Publishers. 712 02$aTaylor & Francis. 906 $aJOURNAL 912 $a996218639303316 996 $aCell communication & adhesion$92105843 997 $aUNISA LEADER 04024nam 2200469z- 450 001 9910220057103321 005 20210212 035 $a(CKB)3800000000216207 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/57088 035 $a(oapen)doab57088 035 $a(EXLCZ)993800000000216207 100 $a20202102d2016 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aProducing and Analyzing Macro-Connectomes: Current State and Challenges 210 $cFrontiers Media SA$d2016 215 $a1 online resource (139 p.) 225 1 $aFrontiers Research Topics 311 08$a2-88919-981-9 330 $aConstruction 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 517 $aProducing and Analyzing Macro-Connectomes 606 $aNeurosciences$2bicssc 610 $abrain connectivity 610 $abrain map 610 $aBrain region 610 $aComputational Neuroanatomy 610 $afunctional connectivity 610 $amacro-connectome 610 $aneuroanatomy data 610 $aneuroinformatics 610 $astructural networks 615 7$aNeurosciences 700 $aBota$b Mihail$4auth$01738077 702 $aKaiser$b Marcus$4auth 702 $aCrook$b Sharon$4auth 906 $aBOOK 912 $a9910220057103321 996 $aProducing and Analyzing Macro-Connectomes: Current State and Challenges$94160080 997 $aUNINA