KOICHI SAMESHIMA

(Fonte: Lattes)
Índice h a partir de 2011
10
Projetos de Pesquisa
Unidades Organizacionais
Departamento de Radiologia, Faculdade de Medicina - Docente
LIM/43 - Laboratório de Medicina Nuclear, Hospital das Clínicas, Faculdade de Medicina - Líder

Resultados de Busca

Agora exibindo 1 - 2 de 2
  • article 1 Citação(ões) na Scopus
    Neuronal excitability level transition induced by electrical stimulation
    (2014) FLORENCE, G.; KURTHS, J.; MACHADO, B. S.; FONOFF, E. T.; CERDEIRA, H. A.; TEIXEIRA, M. J.; SAMESHIMA, K.
    In experimental studies, electrical stimulation (ES) has been applied to induce neuronal activity or to disrupt pathological patterns. Nevertheless, the underlying mechanisms of these activity pattern transitions are not clear. To study these phenomena, we simulated a model of the hippocampal region CA1. The computational simulations using different amplitude levels and duration of ES revealed three states of neuronal excitability: burst-firing mode, depolarization block and spreading depression wave. We used the bifurcation theory to analyse the interference of ES in the cellular excitability and the neuronal dynamics. Understanding this process would help to improve the ES techniques to control some neurological disorders.
  • article 10 Citação(ões) na Scopus
    Brain network dynamics characterization in epileptic seizures
    (2014) RODRIGUES, A. C.; MACHADO, B. S.; FLORENCE, G.; HAMAD, A. P.; SAKAMOTO, A. C.; FUJITA, A.; BACCALA, L. A.; AMARO JR., E.; SAMESHIMA, K.
    Here we propose and evaluate a new approach to analyse multichannel mesial temporal lobe epilepsy EEG data from eight patients through complex network and synchronization theories. The method employs a Granger causality test to infer the directed connectivity graphs and a wavelet transform based phase synchronization measure whose characteristics allow studying dynamical transitions during epileptic seizures. We present a new combined graph measure that quantifies the level of network hub formation, called network hub out-degree, which closely reflects the level of synchronization observed during the ictus.