Padrões Emergentes em Redes Cerebrais e Redes Sociais e suas Influências na Cognição Humana
Resumo
O cérebro humano pode ser estruturado e compreendido através das dinâmicas relações de uma rede, utilizando a Teoria dos Grafos. Estudos recentes mostram que padrões topológicos resultantes das conexões funcionais das redes cerebrais podem estar relacionados ao desempenho intelectual humano. Por outro lado, as mesmas ferramentas da Teoria dos Grafos também podem ser empregadas para se compreender a arquitetura e fenômenos emergentes das relações sociais estabelecidas entre as pessoas. Este artigo traz a hipótese de que possa existir alguma correlação entre padrões de comportamento das relações interpessoais mapeadas como uma rede social e as relações intracerebrais, mapeadas como uma rede cerebral.
Palavras-chave:
Redes Cerebrais, Redes Sociais, Cognição Humana
Referências
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Sporns O, Chialvo DR, Kaiser M, Hilgetag CC (2004) Organization, developmet and function of complex brain networks. Trends Cogn Sci 8:418–425.
Sporns 0. 2006. Small-world connectivity, motif composition, and complexity of fractal neuronal connections. Biosystems 85: 55-64
Sporn,Olaf (2011), Networks of The Brain, The MIT Press Cambridge, Massachusetts London, England
Supekar K, Musen M, Menon V (2009) Development of Large-Scale Functional Brain Networks in Children. PLoS Biol 7(7): e1000157. DOI: 10.1371/journal.pbio.1000157
Travers J, Milgram S. (1969). An experimental study of the small world problem. Sociometry, 32: 425-443.
van den Heuvel, MP, Mandl, RCW, Kahn, RS, Hulshoff, Pol HE, (2009a), Functionally linked resting-state networks reflect the underlying structural connectivity architecture of the human brain. Hum Brain Mapp. Advance online publication. Retrieved May 13, 2009. DOI: 10.1002/hbm.20737.
van den Heuvel, MP, Starn CJ, Kahn RS, Hulshoff Pol H E . (2009b). Efficiency of functional brain networks and intellectual performance. J Neurosci 29: 761 9-7624.
Wasserman, Stanley; Faust, Katherine (1994) Social network analysis: Methods and applications. Structural analysis in the social sciences. New York, NY, US: Cambridge University Press. xxxi 825 pp.
Watts, D. J. and Strogatz, S. H., (1998), Collective dynamics of ‘small-world’ networks, Nature 393, 440-442.
Wig,GS, Schlaggar,BL e. Petersen ES, (2011), Concepts and principles in the analysis of brain networks, DOI: 10.1111/j.1749-6632.2010.05947.x126, Ann. N.Y. Acad. Sci. 1224, 126–146 New York Academy of Sciences.
Barabasi AL, Albert R. (1999). Emergence of scaling in random networks. Science 286:509-5 1 2.
Boorman ED, O'Shea J, Sebastian C, Rushworth MFS, Johansen-Berg H. (2007). Individual differences in white-matter microstructure reflect variation in functional connectivity during choice. Curr Bioi 17: 1426--1 43 1 .
Borges, FF, Dorça,F , Queiroz, B, Fernandes, M. A. ,Lopes, C.L., Teymeny, A.A, Ramos,A, (2003), Uma Ferramenta de Autoria para um Sistema Educacional Apoiado na Web, Anais do XIV Simpósio Brasileiro de Informática na Educação - NCE - IM/UFRJ
Friston, KJ, (1993). Functional connectivity: The principal-component analysis of large (PET) data sets. J Cereb Blood Flow Metab 1 3 : 5-14.
Friston KJ. (1994). Functional and effective connectivity in neuroimaging: A synthesis. Hum Brain Mapp 2: 56-78.
Girvan M, Newman, M.E.J., (2002), Community structure in social and biological Networks. Proc Natl A cad Sci USA 99: 7821-7826.
Hampson M, Driesen NR, Skudlarski P, Gore JC, Constable RT. (2006). Brain connectivity related to working memory performance. J Neurosci 26: 13338-13343.
Li Y, Liu Y, Li J, Qin W, Li K, et al. (2009) Brain Anatomical Network and Intelligence. PLoS Comput Biol 5(5): e1000395. DOI: 10.1371/journal.pcbi.1000395
Maia, RF, Spina, EM, Shimizu,SS (2010), Sistema de Previsão de Desempenho de Alunos para Auxilio a Aprendizagem e Avaliação de Disciplinas. Anais do XXI Simpósio Brasileiro de Informática na Educação – UFPB-Paraíba
Mota, N.B., Furtado, R., Maia, P.P.C., Copelli, M. & Ribeiro, (2014) S. Graph analysis of dream reports is especially informative about psychosis. Sci. Rep. 4, 3691; DOI: 10.1038/srep03691
Moreno, J.L. (1934), Who Shall Survive? Beacon House, Beacon, NY.
Newman, M. E. J., (2004), Coauthorship Networks and Patterns of Scientific Collaboration. Proceedings of the National Academy of Sciences of the United States of America 101.Suppl 1, páginas: 5200-5205.
Newman, M.E.J. (2010), Networks An Introduction, Oxford University Press Inc., New York, EUA.
Scott, J., (2000), Social Network Analysis – A Handbook, Sage Publication
Sporns O, Tononi G, EdelmanGM (2000) Connectivity and complexity: the relationship between neuroanatomy and brain dynamics. Neural Netw 13:909 –922.
Sporns O, Chialvo DR, Kaiser M, Hilgetag CC (2004) Organization, developmet and function of complex brain networks. Trends Cogn Sci 8:418–425.
Sporns 0. 2006. Small-world connectivity, motif composition, and complexity of fractal neuronal connections. Biosystems 85: 55-64
Sporn,Olaf (2011), Networks of The Brain, The MIT Press Cambridge, Massachusetts London, England
Supekar K, Musen M, Menon V (2009) Development of Large-Scale Functional Brain Networks in Children. PLoS Biol 7(7): e1000157. DOI: 10.1371/journal.pbio.1000157
Travers J, Milgram S. (1969). An experimental study of the small world problem. Sociometry, 32: 425-443.
van den Heuvel, MP, Mandl, RCW, Kahn, RS, Hulshoff, Pol HE, (2009a), Functionally linked resting-state networks reflect the underlying structural connectivity architecture of the human brain. Hum Brain Mapp. Advance online publication. Retrieved May 13, 2009. DOI: 10.1002/hbm.20737.
van den Heuvel, MP, Starn CJ, Kahn RS, Hulshoff Pol H E . (2009b). Efficiency of functional brain networks and intellectual performance. J Neurosci 29: 761 9-7624.
Wasserman, Stanley; Faust, Katherine (1994) Social network analysis: Methods and applications. Structural analysis in the social sciences. New York, NY, US: Cambridge University Press. xxxi 825 pp.
Watts, D. J. and Strogatz, S. H., (1998), Collective dynamics of ‘small-world’ networks, Nature 393, 440-442.
Wig,GS, Schlaggar,BL e. Petersen ES, (2011), Concepts and principles in the analysis of brain networks, DOI: 10.1111/j.1749-6632.2010.05947.x126, Ann. N.Y. Acad. Sci. 1224, 126–146 New York Academy of Sciences.
Publicado
03/11/2014
Como Citar
SILVA, Viviane Soares Rodrigues; MOTTA, Claudia Lage Rabello; POMPEU E SILVA, José Otávio.
Padrões Emergentes em Redes Cerebrais e Redes Sociais e suas Influências na Cognição Humana. In: SIMPÓSIO BRASILEIRO DE INFORMÁTICA NA EDUCAÇÃO (SBIE), 25. , 2014, Dourados/MS.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2014
.
p. 852-861.
DOI: https://doi.org/10.5753/cbie.sbie.2014.852.
