KOICHI SAMESHIMA

(Fonte: Lattes)
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Departamento de Radiologia, Faculdade de Medicina - Docente
LIM/43 - Laboratório de Medicina Nuclear, Hospital das Clínicas, Faculdade de Medicina - Líder

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  • conferenceObject
    On Neural Connectivity Estimation Problems
    (2015) BACCALA, Luiz A.; SAMESHIMA, Koichi
    After briefly recapping and reframing the problem of neural connectivity and its implications for today's brain mapping efforts, we argue that supplementing/replacing traditional conservative correlation based analysis methods requires active user understanding of the aims and limitations of the newly proposed multivariate analysis frameworks before the new methods can gain general acceptance and full profit can be made from the expanded descriptive opportunities they offer.
  • conferenceObject
    Partial Directed Coherence Statistical Performance Characteristics in Frequency Domain
    (2015) SAMESHIMA, Koichi; TAKAHASHI, Daniel Yasumasa; BACCALA, Luiz Antonio
    In this work we show the asymptotic behavior of information partial directed coherence estimator via the Monte Carlo simulation of a particular toy model taken from the literature. We show that the control of false positive rate tends to the chosen significance level if detection decision is made at specific frequency values.
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    Source and sink nodes in absence seizures
    (2016) RODRIGUES, Abner C.; MACHADO, Birajara S.; CABOCLO, Luis Otavio S. F.; FUJITA, Andre; BACCALA, Luiz A.; SAMESHIMA, Koichi
    As opposed to focal epilepsy, absence seizures do not exhibit a clear seizure onset zone or focus since its ictal activity rapidly engages both brain hemispheres. Yet recent graph theoretical analysis applied to absence seizures EEG suggests the cortical focal presence, an unexpected feature for this type of epilepsy. In this study, we explore the characteristics of absence seizure by classifying the nodes as to their source/sink natures via weighted directed graph analysis based on connectivity direction and strength estimation using information partial directed coherence (iPDC). By segmenting the EEG signals into relatively short 5-sec-long time windows we studied the evolution of coupling strengths from both sink and source nodes, and the network dynamics of absence seizures in eight patients.