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Artigo de periodico
Polygenic risk score for attention-deficit/hyperactivity disorder and brain functional networks segregation in a community-based sample (2023)
Sato, João Ricardo; Biazoli, Claudinei Eduardo; Bueno, Ana Paula Arantes; Caye, Arthur; Pan, Pedro Mario; Santoro, Marcos; Honorato-Mauer, Jessica; Salum, Giovanni Abrahão; Hoexter, Marcelo Queiroz; Bressan, Rodrigo Affonseca; Jackowski, Andrea Parolin; Miguel Filho, Eurípedes Constantino; Belangero, Sintia; Rohde, Luis Augusto
Fonte: Genes brain and behavior. Unidades: IME, FM
Assuntos: TRANSTORNO DO DEFICIT DE ATENÇÃO COM HIPERATIVIDADE, DESENVOLVIMENTO DO ADOLESCENTE, DIAGNÓSTICO POR IMAGEM, NEUROIMAGEM
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ABNT
SATO, João Ricardo et al. Polygenic risk score for attention-deficit/hyperactivity disorder and brain functional networks segregation in a community-based sample. Genes brain and behavior, v. 22, n. 2, 2023Tradução . . Disponível em: https://observatorio.fm.usp.br/handle/OPI/54032. Acesso em: 20 abr. 2024.
APA
Sato, J. R., Biazoli, C. E., Bueno, A. P. A., Caye, A., Pan, P. M., Santoro, M., et al. (2023). Polygenic risk score for attention-deficit/hyperactivity disorder and brain functional networks segregation in a community-based sample. Genes brain and behavior, 22( 2). doi:10.1111/gbb.12838
NLM
Sato JR, Biazoli CE, Bueno APA, Caye A, Pan PM, Santoro M, Honorato-Mauer J, Salum GA, Hoexter MQ, Bressan RA, Jackowski AP, Miguel Filho EC, Belangero S, Rohde LA. Polygenic risk score for attention-deficit/hyperactivity disorder and brain functional networks segregation in a community-based sample [Internet]. Genes brain and behavior. 2023 ; 22( 2):[citado 2024 abr. 20 ] Available from: https://observatorio.fm.usp.br/handle/OPI/54032
Vancouver
Sato JR, Biazoli CE, Bueno APA, Caye A, Pan PM, Santoro M, Honorato-Mauer J, Salum GA, Hoexter MQ, Bressan RA, Jackowski AP, Miguel Filho EC, Belangero S, Rohde LA. Polygenic risk score for attention-deficit/hyperactivity disorder and brain functional networks segregation in a community-based sample [Internet]. Genes brain and behavior. 2023 ; 22( 2):[citado 2024 abr. 20 ] Available from: https://observatorio.fm.usp.br/handle/OPI/54032
Artigo de periodico
Applications of graph theory to the analysis of fNIRS data in hyperscanning paradigms (2022)
Oku, Amanda Yumi Ambriola ; Barreto, Candida ; Bruneri, Guilherme; Brockington, Guilherme ; Fujita, André ; Sato, João Ricardo
Fonte: Frontiers in Computational Neuroscience. Unidade: IME
Assuntos: TEORIA DOS GRAFOS, NEUROCIÊNCIAS
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ABNT
OKU, Amanda Yumi Ambriola et al. Applications of graph theory to the analysis of fNIRS data in hyperscanning paradigms. Frontiers in Computational Neuroscience, v. 16, 2022Tradução . . Disponível em: https://doi.org/10.3389/fncom.2022.975743. Acesso em: 20 abr. 2024.
APA
Oku, A. Y. A., Barreto, C., Bruneri, G., Brockington, G., Fujita, A., & Sato, J. R. (2022). Applications of graph theory to the analysis of fNIRS data in hyperscanning paradigms. Frontiers in Computational Neuroscience, 16. doi:10.3389/fncom.2022.975743
NLM
Oku AYA, Barreto C, Bruneri G, Brockington G, Fujita A, Sato JR. Applications of graph theory to the analysis of fNIRS data in hyperscanning paradigms [Internet]. Frontiers in Computational Neuroscience. 2022 ; 16[citado 2024 abr. 20 ] Available from: https://doi.org/10.3389/fncom.2022.975743
Vancouver
Oku AYA, Barreto C, Bruneri G, Brockington G, Fujita A, Sato JR. Applications of graph theory to the analysis of fNIRS data in hyperscanning paradigms [Internet]. Frontiers in Computational Neuroscience. 2022 ; 16[citado 2024 abr. 20 ] Available from: https://doi.org/10.3389/fncom.2022.975743
Artigo de periodico
Granger causality among graphs and application to functional brain connectivity in autism spectrum disorder (2021)
Ribeiro, Adèle Helena ; Vidal, Maciel Calebe ; Sato, João Ricardo ; Fujita, André
Fonte: Entropy. Unidade: IME
Assuntos: GRAFOS ALEATÓRIOS, TRANSTORNO AUTÍSTICO
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ABNT
RIBEIRO, Adèle Helena et al. Granger causality among graphs and application to functional brain connectivity in autism spectrum disorder. Entropy, v. 23, n. 9, p. 1-21, 2021Tradução . . Disponível em: https://doi.org/10.3390/e23091204. Acesso em: 20 abr. 2024.
APA
Ribeiro, A. H., Vidal, M. C., Sato, J. R., & Fujita, A. (2021). Granger causality among graphs and application to functional brain connectivity in autism spectrum disorder. Entropy, 23( 9), 1-21. doi:10.3390/e23091204
NLM
Ribeiro AH, Vidal MC, Sato JR, Fujita A. Granger causality among graphs and application to functional brain connectivity in autism spectrum disorder [Internet]. Entropy. 2021 ; 23( 9): 1-21.[citado 2024 abr. 20 ] Available from: https://doi.org/10.3390/e23091204
Vancouver
Ribeiro AH, Vidal MC, Sato JR, Fujita A. Granger causality among graphs and application to functional brain connectivity in autism spectrum disorder [Internet]. Entropy. 2021 ; 23( 9): 1-21.[citado 2024 abr. 20 ] Available from: https://doi.org/10.3390/e23091204
Artigo de periodico
Potential confounders in the analysis of Brazilian adolescent’s health: a combination of machine learning and graph theory (2020)
Oku, Amanda Yumi Ambriola ; Morais, Guilherme Augusto Zimeo ; Bueno, Ana Paula Arantes ; Fujita, André ; Sato, João Ricardo
Fonte: International Journal of Environmental Research and Public Health. Unidade: IME
Assuntos: ADOLESCENTES, TEORIA DOS GRAFOS
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ABNT
OKU, Amanda Yumi Ambriola et al. Potential confounders in the analysis of Brazilian adolescent’s health: a combination of machine learning and graph theory. International Journal of Environmental Research and Public Health, v. 17, n. 1, p. 1-10, 2020Tradução . . Disponível em: https://doi.org/10.3390/ijerph17010090. Acesso em: 20 abr. 2024.
APA
Oku, A. Y. A., Morais, G. A. Z., Bueno, A. P. A., Fujita, A., & Sato, J. R. (2020). Potential confounders in the analysis of Brazilian adolescent’s health: a combination of machine learning and graph theory. International Journal of Environmental Research and Public Health, 17( 1), 1-10. doi:10.3390/ijerph17010090
NLM
Oku AYA, Morais GAZ, Bueno APA, Fujita A, Sato JR. Potential confounders in the analysis of Brazilian adolescent’s health: a combination of machine learning and graph theory [Internet]. International Journal of Environmental Research and Public Health. 2020 ; 17( 1): 1-10.[citado 2024 abr. 20 ] Available from: https://doi.org/10.3390/ijerph17010090
Vancouver
Oku AYA, Morais GAZ, Bueno APA, Fujita A, Sato JR. Potential confounders in the analysis of Brazilian adolescent’s health: a combination of machine learning and graph theory [Internet]. International Journal of Environmental Research and Public Health. 2020 ; 17( 1): 1-10.[citado 2024 abr. 20 ] Available from: https://doi.org/10.3390/ijerph17010090
Artigo de periodico
GeoSES: a socioeconomic index for health and social research in Brazil (2020)
Barrozo, Ligia Vizeu ; Fornaciali, Michel ; André, Carmen Diva Saldiva de ; Morais, Guilherme Augusto Zimeo ; Mansur, Giselle ; Cabral-Miranda, William ; Miranda, Marina Jorge de ; Sato, João Ricardo ; Amaro Junior, Edson
Fonte: PLOS ONE. Unidades: FFLCH, IME
Assuntos: GEOGRAFIA DA SAÚDE, BIOESTATÍSTICA
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ABNT
BARROZO, Ligia Vizeu et al. GeoSES: a socioeconomic index for health and social research in Brazil. PLOS ONE, v. 15, n. 4, p. 1-17, 2020Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0232074. Acesso em: 20 abr. 2024.
APA
Barrozo, L. V., Fornaciali, M., André, C. D. S. de, Morais, G. A. Z., Mansur, G., Cabral-Miranda, W., et al. (2020). GeoSES: a socioeconomic index for health and social research in Brazil. PLOS ONE, 15( 4), 1-17. doi:10.1371/journal.pone.0232074
NLM
Barrozo LV, Fornaciali M, André CDS de, Morais GAZ, Mansur G, Cabral-Miranda W, Miranda MJ de, Sato JR, Amaro Junior E. GeoSES: a socioeconomic index for health and social research in Brazil [Internet]. PLOS ONE. 2020 ; 15( 4): 1-17.[citado 2024 abr. 20 ] Available from: https://doi.org/10.1371/journal.pone.0232074
Vancouver
Barrozo LV, Fornaciali M, André CDS de, Morais GAZ, Mansur G, Cabral-Miranda W, Miranda MJ de, Sato JR, Amaro Junior E. GeoSES: a socioeconomic index for health and social research in Brazil [Internet]. PLOS ONE. 2020 ; 15( 4): 1-17.[citado 2024 abr. 20 ] Available from: https://doi.org/10.1371/journal.pone.0232074
Artigo de periodico
Sensorimotor white matter projections and disease severity in primary Restless Legs Syndrome/Willis-Ekbom disease: a multimodal DTI analysis (2020)
Paiva, Joselisa Péres Queiroz de; Magalhães, Samir Câmara; Moura, Luciana Monteiro; Sato, João Ricardo ; Amaro Junior, Edson ; Sterr, Annette; Schlaffke, Lara; Eckeli, Alan Luiz ; Prado, Gilmar Fernandes do; Conforto, Adriana Bastos
Fonte: Sleep Medicine. Unidades: IME, FM, FMRP
Assuntos: SÍNDROME DAS PERNAS INQUIETAS, TRAUMATISMOS DO SISTEMA NERVOSO
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ABNT
PAIVA, Joselisa Péres Queiroz de et al. Sensorimotor white matter projections and disease severity in primary Restless Legs Syndrome/Willis-Ekbom disease: a multimodal DTI analysis. Sleep Medicine, v. 73, p. 106-116, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.sleep.2020.05.040. Acesso em: 20 abr. 2024.
APA
Paiva, J. P. Q. de, Magalhães, S. C., Moura, L. M., Sato, J. R., Amaro Junior, E., Sterr, A., et al. (2020). Sensorimotor white matter projections and disease severity in primary Restless Legs Syndrome/Willis-Ekbom disease: a multimodal DTI analysis. Sleep Medicine, 73, 106-116. doi:10.1016/j.sleep.2020.05.040
NLM
Paiva JPQ de, Magalhães SC, Moura LM, Sato JR, Amaro Junior E, Sterr A, Schlaffke L, Eckeli AL, Prado GF do, Conforto AB. Sensorimotor white matter projections and disease severity in primary Restless Legs Syndrome/Willis-Ekbom disease: a multimodal DTI analysis [Internet]. Sleep Medicine. 2020 ; 73 106-116.[citado 2024 abr. 20 ] Available from: https://doi.org/10.1016/j.sleep.2020.05.040
Vancouver
Paiva JPQ de, Magalhães SC, Moura LM, Sato JR, Amaro Junior E, Sterr A, Schlaffke L, Eckeli AL, Prado GF do, Conforto AB. Sensorimotor white matter projections and disease severity in primary Restless Legs Syndrome/Willis-Ekbom disease: a multimodal DTI analysis [Internet]. Sleep Medicine. 2020 ; 73 106-116.[citado 2024 abr. 20 ] Available from: https://doi.org/10.1016/j.sleep.2020.05.040
Parte de monografia/livro
Network analysis of neuropsychiatry disorders (2020)
Castro Guzman, Grover Enrique ; Balardin, Joana Bisol ; Biazoli Junior, Claudinei Eduardo; Sato, João Ricardo ; Fujita, André
Fonte: Precision medicine for investigators, practitioners and providers. Unidade: IME
Assuntos: DIAGNÓSTICO POR COMPUTADOR, BIOINFORMÁTICA, PSIQUIATRIA, ENTROPIA
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ABNT
CASTRO GUZMAN, Grover Enrique et al. Network analysis of neuropsychiatry disorders. Precision medicine for investigators, practitioners and providers. Tradução . San Diego: Elsevier, 2020. . Disponível em: https://doi.org/10.1016/B978-0-12-819178-1.00039-3. Acesso em: 20 abr. 2024.
APA
Castro Guzman, G. E., Balardin, J. B., Biazoli Junior, C. E., Sato, J. R., & Fujita, A. (2020). Network analysis of neuropsychiatry disorders. In Precision medicine for investigators, practitioners and providers. San Diego: Elsevier. doi:10.1016/B978-0-12-819178-1.00039-3
NLM
Castro Guzman GE, Balardin JB, Biazoli Junior CE, Sato JR, Fujita A. Network analysis of neuropsychiatry disorders [Internet]. In: Precision medicine for investigators, practitioners and providers. San Diego: Elsevier; 2020. [citado 2024 abr. 20 ] Available from: https://doi.org/10.1016/B978-0-12-819178-1.00039-3
Vancouver
Castro Guzman GE, Balardin JB, Biazoli Junior CE, Sato JR, Fujita A. Network analysis of neuropsychiatry disorders [Internet]. In: Precision medicine for investigators, practitioners and providers. San Diego: Elsevier; 2020. [citado 2024 abr. 20 ] Available from: https://doi.org/10.1016/B978-0-12-819178-1.00039-3
Artigo de periodico
Commute time as a method to explore brain functional connectomes (2019)
Sato, João Ricardo; Sato, Cristiane Maria; Silva, Marcel Kenji de Carli ; Biazoli, Claudinei Eduardo
Fonte: Brain Connectivity. Unidade: IME
Assuntos: TRANSTORNO DO DEFICIT DE ATENÇÃO COM HIPERATIVIDADE, IMAGEM POR RESSONÂNCIA MAGNÉTICA, TEORIA DOS GRAFOS
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ABNT
SATO, João Ricardo et al. Commute time as a method to explore brain functional connectomes. Brain Connectivity, v. 9, n. 2, p. 155-161, 2019Tradução . . Disponível em: https://doi.org/10.1089/brain.2018.0598. Acesso em: 20 abr. 2024.
APA
Sato, J. R., Sato, C. M., Silva, M. K. de C., & Biazoli, C. E. (2019). Commute time as a method to explore brain functional connectomes. Brain Connectivity, 9( 2), 155-161. doi:10.1089/brain.2018.0598
NLM
Sato JR, Sato CM, Silva MK de C, Biazoli CE. Commute time as a method to explore brain functional connectomes [Internet]. Brain Connectivity. 2019 ; 9( 2): 155-161.[citado 2024 abr. 20 ] Available from: https://doi.org/10.1089/brain.2018.0598
Vancouver
Sato JR, Sato CM, Silva MK de C, Biazoli CE. Commute time as a method to explore brain functional connectomes [Internet]. Brain Connectivity. 2019 ; 9( 2): 155-161.[citado 2024 abr. 20 ] Available from: https://doi.org/10.1089/brain.2018.0598
Artigo de periodico
Abnormal cortico-cerebellar functional connectivity in autism spectrum disorder (2019)
Ramos, Taiane Coelho; Balardin, Joana Bisol ; Sato, João Ricardo ; Fujita, André
Fonte: Frontiers in Systems Neuroscience. Unidade: IME
Assuntos: TRANSTORNOS COGNITIVOS, BIOINFORMÁTICA
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ABNT
RAMOS, Taiane Coelho et al. Abnormal cortico-cerebellar functional connectivity in autism spectrum disorder. Frontiers in Systems Neuroscience, v. 12, 2019Tradução . . Disponível em: https://doi.org/10.3389/fnsys.2018.00074. Acesso em: 20 abr. 2024.
APA
Ramos, T. C., Balardin, J. B., Sato, J. R., & Fujita, A. (2019). Abnormal cortico-cerebellar functional connectivity in autism spectrum disorder. Frontiers in Systems Neuroscience, 12. doi:10.3389/fnsys.2018.00074
NLM
Ramos TC, Balardin JB, Sato JR, Fujita A. Abnormal cortico-cerebellar functional connectivity in autism spectrum disorder [Internet]. Frontiers in Systems Neuroscience. 2019 ; 12[citado 2024 abr. 20 ] Available from: https://doi.org/10.3389/fnsys.2018.00074
Vancouver
Ramos TC, Balardin JB, Sato JR, Fujita A. Abnormal cortico-cerebellar functional connectivity in autism spectrum disorder [Internet]. Frontiers in Systems Neuroscience. 2019 ; 12[citado 2024 abr. 20 ] Available from: https://doi.org/10.3389/fnsys.2018.00074
Artigo de periodico
Directed wavelet covariance (2019)
Samejima, Kim; Morettin, Pedro Alberto ; Sato, João Ricardo
Fonte: Computational Statistics & Data Analysis. Unidade: IME
Assuntos: ANÁLISE DE SÉRIES TEMPORAIS, ANÁLISE DE ONDALETAS
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ABNT
SAMEJIMA, Kim e MORETTIN, Pedro Alberto e SATO, João Ricardo. Directed wavelet covariance. Computational Statistics & Data Analysis, v. 130, p. 61-79, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.csda.2018.08.026. Acesso em: 20 abr. 2024.
APA
Samejima, K., Morettin, P. A., & Sato, J. R. (2019). Directed wavelet covariance. Computational Statistics & Data Analysis, 130, 61-79. doi:10.1016/j.csda.2018.08.026
NLM
Samejima K, Morettin PA, Sato JR. Directed wavelet covariance [Internet]. Computational Statistics & Data Analysis. 2019 ; 130 61-79.[citado 2024 abr. 20 ] Available from: https://doi.org/10.1016/j.csda.2018.08.026
Vancouver
Samejima K, Morettin PA, Sato JR. Directed wavelet covariance [Internet]. Computational Statistics & Data Analysis. 2019 ; 130 61-79.[citado 2024 abr. 20 ] Available from: https://doi.org/10.1016/j.csda.2018.08.026
Artigo de periodico
Identification of alterations associated with age in the clustering structure of functional brain networks (2018)
Guzman, Grover Enrique Castro ; Sato, João Ricardo ; Vidal, Maciel Calebe ; Fujita, André
Fonte: PLOS ONE. Unidade: IME
Assunto: BIOINFORMÁTICA
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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: 20 abr. 2024.
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 2024 abr. 20 ] 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 2024 abr. 20 ] Available from: https://doi.org/10.1371/journal.pone.0195906
Artigo de periodico
Complex network measures in autism spectrum disorders (2018)
Sato, João Ricardo ; Vidal, Maciel Calebe ; Santos, Suzana de Siqueira ; Massirer, Katlin Brauer ; Fujita, André
Fonte: IEEE - ACM Transactions on Computational Biology and Bioinformatics. Unidade: IME
Assuntos: BIOINFORMÁTICA, REDES COMPLEXAS, AUTISMO
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ABNT
SATO, João Ricardo et al. Complex network measures in autism spectrum disorders. IEEE - ACM Transactions on Computational Biology and Bioinformatics, v. 15, n. 2, p. 581 - 587, 2018Tradução . . Disponível em: https://doi.org/10.1109/TCBB.2015.2476787. Acesso em: 20 abr. 2024.
APA
Sato, J. R., Vidal, M. C., Santos, S. de S., Massirer, K. B., & Fujita, A. (2018). Complex network measures in autism spectrum disorders. IEEE - ACM Transactions on Computational Biology and Bioinformatics, 15( 2), 581 - 587. doi:10.1109/TCBB.2015.2476787
NLM
Sato JR, Vidal MC, Santos S de S, Massirer KB, Fujita A. Complex network measures in autism spectrum disorders [Internet]. IEEE - ACM Transactions on Computational Biology and Bioinformatics. 2018 ; 15( 2): 581 - 587.[citado 2024 abr. 20 ] Available from: https://doi.org/10.1109/TCBB.2015.2476787
Vancouver
Sato JR, Vidal MC, Santos S de S, Massirer KB, Fujita A. Complex network measures in autism spectrum disorders [Internet]. IEEE - ACM Transactions on Computational Biology and Bioinformatics. 2018 ; 15( 2): 581 - 587.[citado 2024 abr. 20 ] Available from: https://doi.org/10.1109/TCBB.2015.2476787
Artigo de periodico
Correlation between graphs with an application to brain network analysis (2017)
Fujita, André ; Takahashi, Daniel Yasumasa ; Balardin, Joana Bisol ; Vidal, Maciel Calebe ; Sato, João Ricardo
Fonte: Computational Statistics and Data Analysis. Unidade: IME
Assunto: REDES NEURAIS
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ABNT
FUJITA, André et al. Correlation between graphs with an application to brain network analysis. Computational Statistics and Data Analysis, v. 109, p. 76-92, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.csda.2016.11.016. Acesso em: 20 abr. 2024.
APA
Fujita, A., Takahashi, D. Y., Balardin, J. B., Vidal, M. C., & Sato, J. R. (2017). Correlation between graphs with an application to brain network analysis. Computational Statistics and Data Analysis, 109, 76-92. doi:10.1016/j.csda.2016.11.016
NLM
Fujita A, Takahashi DY, Balardin JB, Vidal MC, Sato JR. Correlation between graphs with an application to brain network analysis [Internet]. Computational Statistics and Data Analysis. 2017 ; 109 76-92.[citado 2024 abr. 20 ] Available from: https://doi.org/10.1016/j.csda.2016.11.016
Vancouver
Fujita A, Takahashi DY, Balardin JB, Vidal MC, Sato JR. Correlation between graphs with an application to brain network analysis [Internet]. Computational Statistics and Data Analysis. 2017 ; 109 76-92.[citado 2024 abr. 20 ] Available from: https://doi.org/10.1016/j.csda.2016.11.016
Artigo de periodico
ANOCVA in R: a software to compare clusters between groups and its application to the study of autism spectrum disorder (2017)
Vidal, Maciel Calebe ; Sato, João Ricardo ; Balardin, Joana Bisol ; Takahashi, Daniel Yasumasa ; Fujita, André
Fonte: Frontiers in Neuroscience. Unidade: IME
Assuntos: CIÊNCIA DA COMPUTAÇÃO, CIÊNCIA DA COMPUTAÇÃO, ESTATÍSTICA, ANÁLISE DE VARIÂNCIA
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ABNT
VIDAL, Maciel Calebe et al. ANOCVA in R: a software to compare clusters between groups and its application to the study of autism spectrum disorder. Frontiers in Neuroscience, v. 11, p. 1-8, 2017Tradução . . Disponível em: https://doi.org/10.3389/fnins.2017.00016. Acesso em: 20 abr. 2024.
APA
Vidal, M. C., Sato, J. R., Balardin, J. B., Takahashi, D. Y., & Fujita, A. (2017). ANOCVA in R: a software to compare clusters between groups and its application to the study of autism spectrum disorder. Frontiers in Neuroscience, 11, 1-8. doi:10.3389/fnins.2017.00016
NLM
Vidal MC, Sato JR, Balardin JB, Takahashi DY, Fujita A. ANOCVA in R: a software to compare clusters between groups and its application to the study of autism spectrum disorder [Internet]. Frontiers in Neuroscience. 2017 ;11 1-8.[citado 2024 abr. 20 ] Available from: https://doi.org/10.3389/fnins.2017.00016
Vancouver
Vidal MC, Sato JR, Balardin JB, Takahashi DY, Fujita A. ANOCVA in R: a software to compare clusters between groups and its application to the study of autism spectrum disorder [Internet]. Frontiers in Neuroscience. 2017 ;11 1-8.[citado 2024 abr. 20 ] Available from: https://doi.org/10.3389/fnins.2017.00016
Parte de monografia/livro
Statistical methods in graphs: parameter estimation, model selection, and hypothesis test (2016)
Santos, Suzana de Siqueira; Takahashi, Daniel Yasumasa; Sato, João Ricardo; Ferreira, Carlos Eduardo ; Fujita, André
Fonte: Mathematical foundations and applications of graph entropy. Unidade: IME
Assuntos: TEORIA DOS GRAFOS, PROBABILIDADE, ESTIMAÇÃO PARAMÉTRICA, TESTES DE HIPÓTESES, SELEÇÃO DE MODELOS, BIOESTATÍSTICA
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ABNT
SANTOS, Suzana de Siqueira et al. Statistical methods in graphs: parameter estimation, model selection, and hypothesis test. Mathematical foundations and applications of graph entropy. Tradução . Weinheim: Wiley-VCH, 2016. . Disponível em: https://doi.org/10.1002/9783527693245.ch6. Acesso em: 20 abr. 2024.
APA
Santos, S. de S., Takahashi, D. Y., Sato, J. R., Ferreira, C. E., & Fujita, A. (2016). Statistical methods in graphs: parameter estimation, model selection, and hypothesis test. In Mathematical foundations and applications of graph entropy. Weinheim: Wiley-VCH. doi:10.1002/9783527693245.ch6
NLM
Santos S de S, Takahashi DY, Sato JR, Ferreira CE, Fujita A. Statistical methods in graphs: parameter estimation, model selection, and hypothesis test [Internet]. In: Mathematical foundations and applications of graph entropy. Weinheim: Wiley-VCH; 2016. [citado 2024 abr. 20 ] Available from: https://doi.org/10.1002/9783527693245.ch6
Vancouver
Santos S de S, Takahashi DY, Sato JR, Ferreira CE, Fujita A. Statistical methods in graphs: parameter estimation, model selection, and hypothesis test [Internet]. In: Mathematical foundations and applications of graph entropy. Weinheim: Wiley-VCH; 2016. [citado 2024 abr. 20 ] Available from: https://doi.org/10.1002/9783527693245.ch6
Artigo de periodico
An integrative approach to investigate the respective roles of single-nucleotide variants and copy-number variants in Attention-Deficit/Hyperactivity Disorder (2016)
Lima, Leandro de Araújo; Feio-dos-Santos, Ana Cecília; Belangero, Sintia Iole; Gadelha, Ary; Bressan, Rodrigo Affonseca; Salum, Giovanni Abrahão; Pan, Pedro Mario; Moriyama, Tais Silveira; Graeff-Martins, Ana Soledade; Tamanaha, Ana Carina; Alvarenga, Pedro; Krieger, Fernanda Valle; Fleitlich-Bilyk, Bacy; Jackowski, Andrea Parolin; Brietzke, Elisa; Sato, João Ricardo; Polanczyk, Guilherme Vanoni; Mari, Jair de Jesus; Manfro, Gisele Gus; Rosário, Maria Conceição do; Miguel, Eurípedes Constantino; Puga, Renato David; Tahira, Ana Carolina; Souza, Viviane Neri; Chile, Thais; Gouveia, Gisele Rodrigues; Simões, Sérgio Nery; Chang, Xiao; Pellegrino, Renata; Tian, Lifeng; Glessner, Joseph T.; Hashimoto, Ronaldo Fumio ; Rohde, Luis Augusto; Sleiman, Patrick M. A.; Hakonarson, Hakon; Brentani, Helena
Fonte: Scientific Reports. Unidades: FM, IME
Assuntos: DOENÇAS GENÉTICAS, CRIANÇAS, ADOLESCENTES, HIPERATIVIDADE
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ABNT
LIMA, Leandro de Araújo et al. An integrative approach to investigate the respective roles of single-nucleotide variants and copy-number variants in Attention-Deficit/Hyperactivity Disorder. Scientific Reports, v. 6, n. 22851, p. 14 , 2016Tradução . . Disponível em: https://doi.org/10.1038/srep22851. Acesso em: 20 abr. 2024.
APA
Lima, L. de A., Feio-dos-Santos, A. C., Belangero, S. I., Gadelha, A., Bressan, R. A., Salum, G. A., et al. (2016). An integrative approach to investigate the respective roles of single-nucleotide variants and copy-number variants in Attention-Deficit/Hyperactivity Disorder. Scientific Reports, 6( 22851), 14 . doi:10.1038/srep22851
NLM
Lima L de A, Feio-dos-Santos AC, Belangero SI, Gadelha A, Bressan RA, Salum GA, Pan PM, Moriyama TS, Graeff-Martins AS, Tamanaha AC, Alvarenga P, Krieger FV, Fleitlich-Bilyk B, Jackowski AP, Brietzke E, Sato JR, Polanczyk GV, Mari J de J, Manfro GG, Rosário MC do, Miguel EC, Puga RD, Tahira AC, Souza VN, Chile T, Gouveia GR, Simões SN, Chang X, Pellegrino R, Tian L, Glessner JT, Hashimoto RF, Rohde LA, Sleiman PMA, Hakonarson H, Brentani H. An integrative approach to investigate the respective roles of single-nucleotide variants and copy-number variants in Attention-Deficit/Hyperactivity Disorder [Internet]. Scientific Reports. 2016 ; 6( 22851): 14 .[citado 2024 abr. 20 ] Available from: https://doi.org/10.1038/srep22851
Vancouver
Lima L de A, Feio-dos-Santos AC, Belangero SI, Gadelha A, Bressan RA, Salum GA, Pan PM, Moriyama TS, Graeff-Martins AS, Tamanaha AC, Alvarenga P, Krieger FV, Fleitlich-Bilyk B, Jackowski AP, Brietzke E, Sato JR, Polanczyk GV, Mari J de J, Manfro GG, Rosário MC do, Miguel EC, Puga RD, Tahira AC, Souza VN, Chile T, Gouveia GR, Simões SN, Chang X, Pellegrino R, Tian L, Glessner JT, Hashimoto RF, Rohde LA, Sleiman PMA, Hakonarson H, Brentani H. An integrative approach to investigate the respective roles of single-nucleotide variants and copy-number variants in Attention-Deficit/Hyperactivity Disorder [Internet]. Scientific Reports. 2016 ; 6( 22851): 14 .[citado 2024 abr. 20 ] Available from: https://doi.org/10.1038/srep22851
Artigo de periodico
Identification of segregated regions in the functional brain connectome of autistic patients by a combination of fuzzy spectral clustering and entropy analysis (2016)
Sato, João Ricardo ; Balardin, Joana Bisol ; Vidal, Maciel Calebe ; Fujita, André
Fonte: Journal of Psychiatry and Neuroscience. Unidade: IME
Assuntos: BIOINFORMÁTICA, ESTATÍSTICA COMPUTACIONAL, AUTISMO, CRIANÇAS AUTISTAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SATO, João Ricardo et al. Identification of segregated regions in the functional brain connectome of autistic patients by a combination of fuzzy spectral clustering and entropy analysis. Journal of Psychiatry and Neuroscience, v. 41, n. 2, p. 124-132, 2016Tradução . . Disponível em: https://doi.org/10.1503/jpn.140364. Acesso em: 20 abr. 2024.
APA
Sato, J. R., Balardin, J. B., Vidal, M. C., & Fujita, A. (2016). Identification of segregated regions in the functional brain connectome of autistic patients by a combination of fuzzy spectral clustering and entropy analysis. Journal of Psychiatry and Neuroscience, 41( 2), 124-132. doi:10.1503/jpn.140364
NLM
Sato JR, Balardin JB, Vidal MC, Fujita A. Identification of segregated regions in the functional brain connectome of autistic patients by a combination of fuzzy spectral clustering and entropy analysis [Internet]. Journal of Psychiatry and Neuroscience. 2016 ; 41( 2): 124-132.[citado 2024 abr. 20 ] Available from: https://doi.org/10.1503/jpn.140364
Vancouver
Sato JR, Balardin JB, Vidal MC, Fujita A. Identification of segregated regions in the functional brain connectome of autistic patients by a combination of fuzzy spectral clustering and entropy analysis [Internet]. Journal of Psychiatry and Neuroscience. 2016 ; 41( 2): 124-132.[citado 2024 abr. 20 ] Available from: https://doi.org/10.1503/jpn.140364
Artigo de periodico
Complex network measures in autism spectrum disorders (2015)
Sato, João Ricardo; Vidal, Maciel Calebe; Santos, Suzana de Siqueira; Massirer, Katlin Brauer; Fujita, André
Fonte: IEEE/ACM Transactions on Computational Biology and Bioinformatics. Unidade: IME
Assuntos: BIOINFORMÁTICA, NEUROCIÊNCIAS, AUTISMO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SATO, João Ricardo et al. Complex network measures in autism spectrum disorders. IEEE/ACM Transactions on Computational Biology and Bioinformatics, v. 15, n. 2, p. 581-587, 2015Tradução . . Disponível em: https://doi.org/10.1109/TCBB.2015.2476787. Acesso em: 20 abr. 2024.
APA
Sato, J. R., Vidal, M. C., Santos, S. de S., Massirer, K. B., & Fujita, A. (2015). Complex network measures in autism spectrum disorders. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 15( 2), 581-587. doi:10.1109/TCBB.2015.2476787
NLM
Sato JR, Vidal MC, Santos S de S, Massirer KB, Fujita A. Complex network measures in autism spectrum disorders [Internet]. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2015 ; 15( 2): 581-587.[citado 2024 abr. 20 ] Available from: https://doi.org/10.1109/TCBB.2015.2476787
Vancouver
Sato JR, Vidal MC, Santos S de S, Massirer KB, Fujita A. Complex network measures in autism spectrum disorders [Internet]. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2015 ; 15( 2): 581-587.[citado 2024 abr. 20 ] Available from: https://doi.org/10.1109/TCBB.2015.2476787
Artigo de periodico
A non-parametric statistical test to compare clusters with applications in functional magnetic resonance imaging data (2014)
Fujita, André ; Takahashi, Daniel Yasumasa ; Patriota, Alexandre Galvão ; Sato, João Ricardo
Fonte: Statistics in Medicine. Unidade: IME
Assuntos: RECONHECIMENTO DE PADRÕES, INTELIGÊNCIA ARTIFICIAL, ESTATÍSTICA COMPUTACIONAL, RESSONÂNCIA MAGNÉTICA, INFERÊNCIA NÃO PARAMÉTRICA, INFERÊNCIA ESTATÍSTICA, COMPUTAÇÃO GRÁFICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FUJITA, André et al. A non-parametric statistical test to compare clusters with applications in functional magnetic resonance imaging data. Statistics in Medicine, v. 33, n. 28, p. 4949-4962, 2014Tradução . . Disponível em: https://doi.org/10.1002/sim.6292. Acesso em: 20 abr. 2024.
APA
Fujita, A., Takahashi, D. Y., Patriota, A. G., & Sato, J. R. (2014). A non-parametric statistical test to compare clusters with applications in functional magnetic resonance imaging data. Statistics in Medicine, 33( 28), 4949-4962. doi:10.1002/sim.6292
NLM
Fujita A, Takahashi DY, Patriota AG, Sato JR. A non-parametric statistical test to compare clusters with applications in functional magnetic resonance imaging data [Internet]. Statistics in Medicine. 2014 ; 33( 28): 4949-4962.[citado 2024 abr. 20 ] Available from: https://doi.org/10.1002/sim.6292
Vancouver
Fujita A, Takahashi DY, Patriota AG, Sato JR. A non-parametric statistical test to compare clusters with applications in functional magnetic resonance imaging data [Internet]. Statistics in Medicine. 2014 ; 33( 28): 4949-4962.[citado 2024 abr. 20 ] Available from: https://doi.org/10.1002/sim.6292
Artigo de periodico
Measuring network's entropy in ADHD: a new approach to investigate neuropsychiatric disorders (2013)
Sato, João Ricardo ; Takahashi, Daniel Yasumasa ; Hoexter, Marcelo Queiroz ; Massirer, Katlin Brauer ; Fujita, André
Fonte: Neuroimage. Unidades: IME, FM
Assunto: DISTÚRBIOS PSICOLÓGICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SATO, João Ricardo et al. Measuring network's entropy in ADHD: a new approach to investigate neuropsychiatric disorders. Neuroimage, v. 77, p. 44-51, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.neuroimage.2013.03.035. Acesso em: 20 abr. 2024.
APA
Sato, J. R., Takahashi, D. Y., Hoexter, M. Q., Massirer, K. B., & Fujita, A. (2013). Measuring network's entropy in ADHD: a new approach to investigate neuropsychiatric disorders. Neuroimage, 77, 44-51. doi:10.1016/j.neuroimage.2013.03.035
NLM
Sato JR, Takahashi DY, Hoexter MQ, Massirer KB, Fujita A. Measuring network's entropy in ADHD: a new approach to investigate neuropsychiatric disorders [Internet]. Neuroimage. 2013 ; 77 44-51.[citado 2024 abr. 20 ] Available from: https://doi.org/10.1016/j.neuroimage.2013.03.035
Vancouver
Sato JR, Takahashi DY, Hoexter MQ, Massirer KB, Fujita A. Measuring network's entropy in ADHD: a new approach to investigate neuropsychiatric disorders [Internet]. Neuroimage. 2013 ; 77 44-51.[citado 2024 abr. 20 ] Available from: https://doi.org/10.1016/j.neuroimage.2013.03.035

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