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dc.contributor.authorOnesto, V
dc.contributor.authorVillani, M
dc.contributor.authorNarducci, R
dc.contributor.authorMalara, N
dc.contributor.authorImbrogno, A
dc.contributor.authorAllione, Marco
dc.contributor.authorCosta, N
dc.contributor.authorCoppedè, N
dc.contributor.authorZappettini, A
dc.contributor.authorCannistraci, C V
dc.contributor.authorCancedda, L
dc.contributor.authorAmato, F
dc.contributor.authorDi Fabrizio, Enzo M.
dc.contributor.authorGentile, F
dc.date.accessioned2019-03-27T09:03:19Z
dc.date.available2019-03-27T09:03:19Z
dc.date.issued2019-03-11
dc.identifier.citationOnesto V, Villani M, Narducci R, Malara N, Imbrogno A, et al. (2019) Cortical-like mini-columns of neuronal cells on zinc oxide nanowire surfaces. Scientific Reports 9. Available: http://dx.doi.org/10.1038/s41598-019-40548-z.
dc.identifier.issn2045-2322
dc.identifier.doi10.1038/s41598-019-40548-z
dc.identifier.urihttp://hdl.handle.net/10754/631734
dc.description.abstractA long-standing goal of neuroscience is a theory that explains the formation of the minicolumns in the cerebral cortex. Minicolumns are the elementary computational units of the mature neocortex. Here, we use zinc oxide nanowires with controlled topography as substrates for neural-cell growth. We observe that neuronal cells form networks where the networks characteristics exhibit a high sensitivity to the topography of the nanowires. For certain values of nanowires density and fractal dimension, neuronal networks express small world attributes, with enhanced information flows. We observe that neurons in these networks congregate in superclusters of approximately 200 neurons. We demonstrate that this number is not coincidental: the maximum number of cells in a supercluster is limited by the competition between the binding energy between cells, adhesion to the substrate, and the kinetic energy of the system. Since cortical minicolumns have similar size, similar anatomical and topological characteristics of neuronal superclusters on nanowires surfaces, we conjecture that the formation of cortical minicolumns is likewise guided by the interplay between energy minimization, information optimization and topology. For the first time, we provide a clear account of the mechanisms of formation of the minicolumns in the brain.
dc.description.sponsorshipWe acknowledge KAUST that partially funded this study by the baseline fund BAS/1/1307-01-01.
dc.publisherSpringer Nature
dc.relation.urlhttps://www.nature.com/articles/s41598-019-40548-z
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleCortical-like mini-columns of neuronal cells on zinc oxide nanowire surfaces
dc.typeArticle
dc.contributor.departmentMaterial Science and Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.identifier.journalScientific Reports
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionDepartment of Experimental and Clinical Medicine, University of Magna Graecia, 88100, Catanzaro, Italy.
dc.contributor.institutionCenter for Advanced Biomaterials for HealthCare, Istituto Italiano di Tecnologia, 80125, Naples, Italy.
dc.contributor.institutionIMEM-CNR Parco Area delle Scienze 37/A, 43124, Parma, Italy.
dc.contributor.institutionIstituto Italiano di Tecnologia, Via Morego 30, 16163, Genova, Italy.
dc.contributor.institutionTyndall National Institute, Cork, T12 R5CP, Ireland.
dc.contributor.institutionHealth Department, University of Magna Graecia, 88100, Catanzaro, Italy.
dc.contributor.institutionBrain Bio-Inspired Computing (BBC) Lab, IRCCS Centro Neurolesi “Bonino Pulejo”, Messina, 98124, Italy.
dc.contributor.institutionBiomedical Cybernetics Group, Biotechnology Center (BIOTEC), Center for Molecular and Cellular Bioengineering (CMCB), Center for Systems Biology Dresden (CSBD), Department of Physics, Technische Universität Dresden, Tatzberg 47/49, 01307, Dresden, Germany.
dc.contributor.institutionDulbecco Telethon Institute, Rome, Italy.
dc.contributor.institutionDepartment of Electrical Engineering and Information Technology, University Federico II, Naples, Italy.
kaust.personAllione, Marco
kaust.personDi Fabrizio, Enzo M.
kaust.grant.numberBAS/1/1307-01-01
refterms.dateFOA2019-03-28T08:43:40Z
dc.date.published-online2019-03-11
dc.date.published-print2019-12


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This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Except where otherwise noted, this item's license is described as This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.