İşitsel Uyarılmış Potansiyellerde Kısmi Yönlü Uyumluluk ve Bilgi Akış Yönünün Kestirimi
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Abstract
Bu bildiride, saçlı deride çeşitli elektrotlardan elde edilmiş işitsel uyarılmış potansiyellerde, çok değişkenli öz bağlanımlı rastlantısal modelleme kullanılarak beyindeki farklı bölgeler arasında bilgi akışının mevcut
olup olmadığı incelenmiştir. Bilgi akışının kestirimi, frekansa bağlı ve 0 ile 1 arasında değerler aralan kısmi yönlü uyumluluk ve yönlü transfer fonksiyonları kullanılarak yapılmaktadır. Uyarı sonrası zamanda
yapılan incelemede her iki yöntemin de bilgi akışının mevcut olduğu frekans noktaları ile ilgili bilgi verdiği ve bilgi akış yönlerinin kestirilebildiği görülmüştür. Yöntemlerin frekans çözünürlüğü, ilgili örnekleme
penceresi ve model mertebesi kriterlerine bağlı olarak değişkenlik göstermektedir. İki yöntemin de uyumlu değerler sağladığı saptanmıştır.
In this paper, existence of information flow between different locations of the brain have been analyzed by multivariate auto-regressive modelling where the auditory evoked potentials were measured from several electrodes. The estimation of the information flow was performed by evaluating the partial directed coherence (PDC) and the directed transfer function (DTF) which are function of frequency within the values 0 and 1. When the post-stimulus time interval was analyzed it was observed that both of the methods illustrates the frequency localization where the information flow occurs and the estimation could be performed by given methods. The frequency resolution of the methods depends on the sampling rate and model order. It was determined that the given methods are matched with each other. ©2009 IEEE.
In this paper, existence of information flow between different locations of the brain have been analyzed by multivariate auto-regressive modelling where the auditory evoked potentials were measured from several electrodes. The estimation of the information flow was performed by evaluating the partial directed coherence (PDC) and the directed transfer function (DTF) which are function of frequency within the values 0 and 1. When the post-stimulus time interval was analyzed it was observed that both of the methods illustrates the frequency localization where the information flow occurs and the estimation could be performed by given methods. The frequency resolution of the methods depends on the sampling rate and model order. It was determined that the given methods are matched with each other. ©2009 IEEE.
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0301 basic medicine, 03 medical and health sciences, 0302 clinical medicine
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