Programa de Pós Graduação em Bioinformática

Koichi Sameshima

Graduated in Electrical Engineering (1979) and Medicine (1985) from the University of São Paulo, Ph. D. degree in Neurophysiology at the same University (1992), and post-doctoral training in System Neuroscience at the University of California at San Francisco (1994). He is a co-founding member of Discipline of Medical Informatics (1986), and holds an Associate Professorship at the Department of Radiology & Oncology at the Faculty of Medicine of the University of São Paulo. His main research themes are the study of neural plasticity, cognitive function and information processing aspects of mammalian brain assessed through behavioral, electrophysiological and computational neuroscience protocols. To functionally characterize collected multichannel neural activities and correlate them to animal or human behavior and cognitive function, he is pursuing and developing robust and clinically useful methods and measures for brain dynamics staging and neural connectivity inferences, for which he co-introduced the concept of partial directed coherence. At the graduate level, he teaches courses in neural plasticity and learning, electrophysiological methodology in the study of cognitive functions, and quantitative analysis of biomedical data. He is native of Bonotsu-cho (now part of Minamisatsuma-shi), Kagoshima Prefecture, Japan. (Texto informado pelo autor)

  • http://lattes.cnpq.br/1349814523219046 (03/07/2024)
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  • Endereço: Universidade de São Paulo, Faculdade de Medicina da Universidade de São Paulo, Departamento de Radiologia e Oncologia. Av. Dr. Arnaldo 455, Laboratório de Neurociência Cognitiva, Sala 4301 Cerq. Cesar 01246903 - São Paulo, SP - Brasil Telefone: (11) 26618139 Fax: (11) 30821015
  • Grande área: Engenharias
  • Área: Engenharia Biomédica
  • Citações: Google Acadêmico

Produção bibliográfica

Produção técnica

Produção artística

Orientações em andamento

Supervisões e orientações concluídas

Projetos de pesquisa

Prêmios e títulos

Participação em eventos

Organização de eventos

Lista de colaborações

Produção bibliográfica

Produção técnica

Produção artística

Orientações em andamento

Supervisões e orientações concluídas

Projetos de pesquisa

  • Total de projetos de pesquisa (2)
    1. 2018-Atual. Inhibitory deficit as a marker of neuroplasticity in rehabilitation
      Descrição: According to the WHO, more than one billion people in the world experience disability, which is not only an issue of public health, but also of human rights. In 2015, the Global Burden of Diseases showed worldwide epidemiological evidence that 74% of total years lived with disability are related to conditions for which rehabilitation could be beneficial. For this reason, the development of new therapies and rehabilitation research are one of the main objectives of the WHO Global Action Plan for 2014-2021. However, the lack of knowledge of the biological mechanisms involved in the functional rehabilitation process is one of the main limitations faced in the construction of a solid knowledge. There is evidence that brain plasticity is the central mechanism involved in the recovery process of patients with deficits of different etiologies. Although much progress was made in understanding brain plasticity, little was incorporated into rehabilitation practice, mainly due to the scarcity of study designs that allowed the translation of knowledge. Therefore, we propose a study with four groups of subjects (with stroke, SCI, amputations and osteoarthritis) to understand the neuroplasticity mechanisms involved in motor rehabilitation, using TMS, fNIRS and high density EEG before and after the rehabilitation treatment. With this project, we expect to better understand the mechanisms of neuroplasticity involved in the rehabilitation process, and to develop "transdiagnostic" neurophysiological biomarkers, which are of great relevance for the scientific and therapeutic improvement of rehabilitation.. Situação: Em andamento; Natureza: Pesquisa. Alunos envolvidos: Doutorado: (2) . Integrantes: Koichi Sameshima - Integrante / Paulo Sérgio Panse Silveira - Integrante / Luiz Antonio Baccalá - Integrante / Felipe Fregni - Coordenador / Linamara Rizzo Battistella - Integrante / Jesus Enrique Garcia - Integrante / Marcel Simis - Integrante / Luis Fernandez Lopez - Integrante / Marta Imamura - Integrante / Verónica Andrea González-López - Integrante / José de Oliveira Siqueira - Integrante. Financiador(es): Fundação de Amparo à Pesquisa do Estado de São Paulo - Auxílio financeiro.
      Membro: Koichi Sameshima.
    2. 2007-2013. Beyond the Phrenology: Study of normal and epileptic brain through effective connectivity inference based on the Granger causality concept applicable to both fMRI and EEG, and its graph theoretical characterization of brain dynamic
      Descrição: Clinical and basic neuroscientists using functional magnetic resonance imaging, electroencephalography or magnetoencephalography are all in need of straightforward tools to determine causal relationships among brain structures. Over the past decade, functional neuroimaging or brain mapping has enjoyed enormous success in identifying functionally specialized areas in the brain both in systems and cognitive neuroscience. This approach, however, relies solely on functional mapping and is hence incapable to expose more fundamental principles that underlie brain functional architectures. We employ partial directed coherence (PDC), a more neurophysiologically meaningful measure of the neural interactions among brain structures, which is based on the Granger causality concept. This concept not only allows results comparison using the data collected using different technologies but also is a strong candidate for replacing the currently popular pairwise correlation techniques in the analysis of neural dynamics because it increases both the sensitivity and the specificity of effective connectivity diagnosis. As such it is able to reduce multivariate data analysis misinterpretations, either for BOLD and for electrophysiological signals, because it takes into account a larger number simultaneous measured neural structures (variables). More importantly, it is not only able to disclose directed interactions in neural systems, but is also able to detect the presence of feedback. Because of the simultaneous consideration of many structures, our project contemplates further analysis and visualization by means of graph theoretical and computer based visualization methods to facilitate the identification of information flow among brain structures.. Situação: Em andamento; Natureza: Pesquisa. Alunos envolvidos: Graduação: (1) / Doutorado: (3) . Integrantes: Koichi Sameshima - Coordenador / Luiz Antonio Baccalá - Integrante / André Mascioli Cravo - Integrante / Gerson Florence Carvalheira de Azevedo - Integrante. Número de produções C, T & A: 3
      Membro: Koichi Sameshima.

Prêmios e títulos

  • Total de prêmios e títulos (0)

    Participação em eventos

    • Total de participação em eventos (24)
      1. The 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC?16). Brain Network Dynamics Characterization in Epilepsy through Diverse Connectivity Inference and Analysis Methods. 2016. (Congresso).
      2. The 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC?16).A Hands-on Approach to Neural Connectivity Inference Methods. 2016. (Oficina).
      3. Brain Informatics and Health 2014. On the statistical performance of connectivity estimators in the frequency domain. 2014. (Congresso).
      4. 20th IPPNW World Congress - From Hiroshima to Future Generations. Testimonial of 2nd Generation Physicians of Hibakusha. 2012. (Congresso).
      5. VI Congress of Latin-American Chapter (CLA) of International Federation of Clinical Neurophysiology (IFCN). Simultaneous multi-channel connectivity analysis in mesial temporal lobe epilepsy. / Análisis simultáneo multicanal de la conectividad en la epilepsia mesial temporal. 2011. (Congresso).
      6. 14th Annual Meeting of the Organization for Human Brain Mapping. Identifying Stimulus-Induced Functional Connectivity using Partial Directed Coherence. 2008. (Congresso).
      7. I Congresso IBRO/LARC de Neurociências da América Latina, Caribe e Península Ibérica. Partial directed coherence in EEG signals. 2008. (Congresso).
      8. Society for Neuroscience Meeting. Confidence intervals and statistical tests for some multivariate parametric neural connectivity inference methods in frequency domain: coherence, partial coherence, directed coherence, and partial directed coherence. 2008. (Congresso).
      9. Análisis Señales Neurales.Partial Directed Coherence. 2007. (Oficina).
      10. II Simpósio Internacional de Neurociências de Natal.What connectivity inference can and can not tell us about brain function. 2007. (Simpósio).
      11. The NeuroMath Workshop 2007 - Advanced Methods for the Estimation of Human Brain Activity and Connectivity.Connectivity inference with partial directed coherence. 2007. (Oficina).
      12. XXI Congresso Brasileiro de Neurofisiologia Clínica. EEGq: Perspectivas futuras. 2007. (Congresso).
      13. XXII Reunião Anual da FeSBE.Dinâmica Cerebral, Conectividade e Cognição. 2007. (Simpósio).
      14. XXII Reunião Anual da FeSBE.Instrumentação em EEG: Da pesquisa básica à aplicação clínica. 2007. (Oficina).
      15. Networks in Cognitive Systems: From Cerebral Process to Mathematical Tools Design.Brain dynamics, connectivity and effective connectivity inference methods and its implication on the study of brain function.. 2006. (Oficina).
      16. 8th Tamagawa Dynamic Brain Forum.Connectivity inference between neural structures via partial directed coherence. 2004. (Simpósio).
      17. fMRI Experience. 2004. (Simpósio).
      18. International Institute of Neuroscience of Natal - Inaugural Symposium.International Institute of Neuroscience of Natal - Inaugural Symposium. 2004. (Simpósio).
      19. ICobiCobi - International Conference on Bioinformatics and Computational Biology. Brain Connectivity Analysis. 2003. (Congresso).
      20. CNMAC.Análise de Causalidade. 2002. (Simpósio).
      21. FeSBE.Temático Doença de Alzheimer. 2002. (Simpósio).
      22. XVII Encontro Internacional de Audiologia. XVII Encontro Internacional de Audiologia. 2002. (Congresso).
      23. XVIII Congresso Brasileiro de Engenharia Biomédica. Coerência parcial direcionada. 2002. (Congresso).
      24. XXX FeSBE.Curso de Análise de Séries Temporais Biológicas. 2002. (Oficina).

    Organização de eventos

    • Total de organização de eventos (2)
      1. Baccalá, L. A. ; Sameshima, K.. A Hands-on Approach to Neural Connectivity Inference Methods. 2015. Outro
      2. Cerri, G. G. ; Sameshima, Koichi. International Symposium on Brain Connectivity and Functional Neuroimaging. 2010. Outro

    Lista de colaborações

    • Colaborações endôgenas (1)
      • Koichi Sameshima ⇔ André Fujita (1.0)
        1. Rodrigues Neto, A. C. ; Machado, B. S. ; Florence, G. ; Hamad, A. P. ; Sakamoto, A. C. ; Fujita, A. ; Baccalá, L. A. ; Amaro Jr, E. ; Sameshima, K.. Brain network dynamics characterization in epileptic seizures. The European Physical Journal. Special Topics. v. 223, p. 2933-2941, 2014. Qualis: Não identificado (SPECIAL TOPICS)




    (*) Relatório criado com produções desde 2000 até 2024
    Data de processamento: 05/12/2024 01:27:53