Yazar "Sequeira, Henrique" seçeneğine göre listele

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  • Küçük Resim Yok
    Öğe
    Evaluation of emotional facial expression processing in dementia by means of event-related theta oscillation
    (Wiley, 2020) Güntekin, Bahar; Aktürk, Tuba; Kıyı, İlayda; Yıldırım, Ebru; Uzunlar, Hakan; Çalışoğlu, Pervin; Helvacı Yılmaz, Nesrin; Hanoğlu, Lütfü; Yener, Görsev; Sequeira, Henrique
    [Abstract Not Available]
  • Küçük Resim
    Öğe
    Impaired brain in neurodegenerative disorders: A neurodynamic approach
    (Elsevier, 2021) Güntekin, Bahar; Sequeira, Henrique
    Neurodegenerative processes in the brain are associated withpathophysiology causing axonal dysfunction, neuronal loss, and brainatrophy. They are also related to abnormal brain electrical activitywhich can be recorded with Electroencephalography (EEG). Thissymposium aims at presenting novelfindings enlightening theabnormalities in the EEG of patients with different neurodegenerativedisorders.
  • Küçük Resim
    Öğe
    Telling functional networks apart using ranked network features stability
    (NLM (Medline), 2022) Zanin, Massimiliano; Güntekin, Bahar; Aktürk, Tuba; Yıldırım, Ebru; Yener, Görsev; Kıyı, İlayda; Hünerli Gündüz, Duygu; Sequeira, Henrique; Papo, David
    Over the past few years, it has become standard to describe brain anatomical and functional organisation in terms of complex networks, wherein single brain regions or modules and their connections are respectively identified with network nodes and the links connecting them. Often, the goal of a given study is not that of modelling brain activity but, more basically, to discriminate between experimental conditions or populations, thus to find a way to compute differences between them. This in turn involves two important aspects: defining discriminative features and quantifying differences between them. Here we show that the ranked dynamical stability of network features, from links or nodes to higher-level network properties, discriminates well between healthy brain activity and various pathological conditions. These easily computable properties, which constitute local but topographically aspecific aspects of brain activity, greatly simplify inter-network comparisons and spare the need for network pruning. Our results are discussed in terms of microstate stability. Some implications for functional brain activity are discussed.