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Is ICA of fMRI data able to find haemodynamic fluctuations related to epilepsy without help of EEG?

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F13%3APU106583" target="_blank" >RIV/00216305:26220/13:PU106583 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Is ICA of fMRI data able to find haemodynamic fluctuations related to epilepsy without help of EEG?

  • Original language description

    Traditional approach to epilepsy localization using functional magnetic resonance imaging (fMRI) technique utilizes timings of spike EEG events in so called spike-informed general linear model. Simultaneous fMRI-EEG examination represents a challenging problem in terms of both technical equipment and signal processing. Main goals of our work were to show that haemodynamic changes related to epilepsy can be detected in the blood oxygen level dependent (BOLD) signal without using EEG, and to find optimalsettings for the used independent component analysis (ICA) decomposition.

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GAP103%2F12%2F0552" target="_blank" >GAP103/12/0552: Comparison and inference of methods for evaluation of functional and effective connectivity in fMRI</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2013

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů