Self-organized criticality in cortical assemblies occurs in concurrent scale-free and small-world networks
Identifieur interne : 000579 ( Main/Merge ); précédent : 000578; suivant : 000580Self-organized criticality in cortical assemblies occurs in concurrent scale-free and small-world networks
Auteurs : Paolo Massobrio [Italie] ; Valentina Pasquale [Italie] ; Sergio Martinoia [Italie]Source :
- Scientific Reports [ 2045-2322 ] ; 2015.
Abstract
The spontaneous activity of cortical networks is characterized by the emergence of different dynamic states. Although several attempts were accomplished to understand the origin of these dynamics, the underlying factors continue to be elusive. In this work, we specifically investigated the interplay between network topology and spontaneous dynamics within the framework of self-organized criticality (SOC). The obtained results support the hypothesis that the emergence of
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DOI: 10.1038/srep10578
PubMed: 26030608
PubMed Central: 4450754
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Self-organized criticality in cortical assemblies occurs in concurrent scale-free and small-world networks</title><author><name sortKey="Massobrio, Paolo" sort="Massobrio, Paolo" uniqKey="Massobrio P" first="Paolo" last="Massobrio">Paolo Massobrio</name><affiliation wicri:level="1"><nlm:aff id="a1"><institution>Neuroengineering and Bio-nano Technology Lab (NBT), Department of Informatics, Bioengineering, Robotics, System Engineering (DIBRIS), University of Genova</institution>, Genova -<country>Italy</country></nlm:aff><country xml:lang="fr">Italie</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation></author><author><name sortKey="Pasquale, Valentina" sort="Pasquale, Valentina" uniqKey="Pasquale V" first="Valentina" last="Pasquale">Valentina Pasquale</name><affiliation wicri:level="1"><nlm:aff id="a2"><institution>Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia (IIT)</institution>, Genova -<country>Italy</country></nlm:aff><country xml:lang="fr">Italie</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation></author><author><name sortKey="Martinoia, Sergio" sort="Martinoia, Sergio" uniqKey="Martinoia S" first="Sergio" last="Martinoia">Sergio Martinoia</name><affiliation wicri:level="1"><nlm:aff id="a1"><institution>Neuroengineering and Bio-nano Technology Lab (NBT), Department of Informatics, Bioengineering, Robotics, System Engineering (DIBRIS), University of Genova</institution>, Genova -<country>Italy</country></nlm:aff><country xml:lang="fr">Italie</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">26030608</idno><idno type="pmc">4450754</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4450754</idno><idno type="RBID">PMC:4450754</idno><idno type="doi">10.1038/srep10578</idno><date when="2015">2015</date><idno type="wicri:Area/Pmc/Corpus">000631</idno><idno type="wicri:Area/Pmc/Curation">000631</idno><idno type="wicri:Area/Pmc/Checkpoint">000349</idno><idno type="wicri:Area/Ncbi/Merge">003978</idno><idno type="wicri:Area/Ncbi/Curation">003978</idno><idno type="wicri:Area/Ncbi/Checkpoint">003978</idno><idno type="wicri:Area/Main/Merge">000579</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Self-organized criticality in cortical assemblies occurs in concurrent scale-free and small-world networks</title><author><name sortKey="Massobrio, Paolo" sort="Massobrio, Paolo" uniqKey="Massobrio P" first="Paolo" last="Massobrio">Paolo Massobrio</name><affiliation wicri:level="1"><nlm:aff id="a1"><institution>Neuroengineering and Bio-nano Technology Lab (NBT), Department of Informatics, Bioengineering, Robotics, System Engineering (DIBRIS), University of Genova</institution>, Genova -<country>Italy</country></nlm:aff><country xml:lang="fr">Italie</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation></author><author><name sortKey="Pasquale, Valentina" sort="Pasquale, Valentina" uniqKey="Pasquale V" first="Valentina" last="Pasquale">Valentina Pasquale</name><affiliation wicri:level="1"><nlm:aff id="a2"><institution>Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia (IIT)</institution>, Genova -<country>Italy</country></nlm:aff><country xml:lang="fr">Italie</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation></author><author><name sortKey="Martinoia, Sergio" sort="Martinoia, Sergio" uniqKey="Martinoia S" first="Sergio" last="Martinoia">Sergio Martinoia</name><affiliation wicri:level="1"><nlm:aff id="a1"><institution>Neuroengineering and Bio-nano Technology Lab (NBT), Department of Informatics, Bioengineering, Robotics, System Engineering (DIBRIS), University of Genova</institution>, Genova -<country>Italy</country></nlm:aff><country xml:lang="fr">Italie</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation></author></analytic><series><title level="j">Scientific Reports</title><idno type="eISSN">2045-2322</idno><imprint><date when="2015">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>The spontaneous activity of cortical networks is characterized by the emergence of different dynamic states. Although several attempts were accomplished to understand the origin of these dynamics, the underlying factors continue to be elusive. In this work, we specifically investigated the interplay between network topology and spontaneous dynamics within the framework of self-organized criticality (SOC). The obtained results support the hypothesis that the emergence of <italic>critical states</italic> occurs in specific complex network topologies. By combining multi-electrode recordings of spontaneous activity of <italic>in vitro</italic> cortical assemblies with theoretical models, we demonstrate that different ‘connectivity rules’ drive the network towards different dynamic states. In particular, scale-free architectures with different degree of small-worldness account better for the variability observed in experimental data, giving rise to different dynamic states. Moreover, in relationship with the balance between excitation and inhibition and percentage of inhibitory hubs, the simulated cortical networks fall in a critical regime.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="O Onovan, M J" uniqKey="O Onovan M">M. J. O’Donovan</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Buzsaki, G" uniqKey="Buzsaki G">G. Buzsaki</name></author><author><name sortKey="Draguhn, A" uniqKey="Draguhn A">A. Draguhn</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Marom, S" uniqKey="Marom S">S. Marom</name></author><author><name sortKey="Shahaf, G" uniqKey="Shahaf G">G. Shahaf</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Beggs, J M" uniqKey="Beggs J">J. M. Beggs</name></author><author><name sortKey="Plenz, D" uniqKey="Plenz D">D. 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