Identification of alterations associated with age in the clustering structure of functional brain networks (2018)
- Authors:
- USP affiliated authors: FUJITA, ANDRÉ - IME ; GUZMÁN, GROVER ENRIQUE CASTRO - IME ; VIDAL, MACIEL CALEBE - IME
- Unidade: IME
- DOI: 10.1371/journal.pone.0195906
- Assunto: BIOINFORMÁTICA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: San Francisco
- Date published: 2018
- Source:
- Status:
- Artigo publicado em periódico de acesso aberto (Gold Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
GUZMAN, Grover Enrique Castro et al. Identification of alterations associated with age in the clustering structure of functional brain networks. PLOS ONE, v. 13, n. 5 , p. 1-14, 2018Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0195906. Acesso em: 02 abr. 2026. -
APA
Guzman, G. E. C., Sato, J. R., Vidal, M. C., & Fujita, A. (2018). Identification of alterations associated with age in the clustering structure of functional brain networks. PLOS ONE, 13( 5 ), 1-14. doi:10.1371/journal.pone.0195906 -
NLM
Guzman GEC, Sato JR, Vidal MC, Fujita A. Identification of alterations associated with age in the clustering structure of functional brain networks [Internet]. PLOS ONE. 2018 ; 13( 5 ): 1-14.[citado 2026 abr. 02 ] Available from: https://doi.org/10.1371/journal.pone.0195906 -
Vancouver
Guzman GEC, Sato JR, Vidal MC, Fujita A. Identification of alterations associated with age in the clustering structure of functional brain networks [Internet]. PLOS ONE. 2018 ; 13( 5 ): 1-14.[citado 2026 abr. 02 ] Available from: https://doi.org/10.1371/journal.pone.0195906 - Identification of segregated regions in the functional brain connectome of autistic patients by a combination of fuzzy spectral clustering and entropy analysis
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