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Brain: Anatomical connectivity for effective connectivity optimization

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F14%3APU108880" target="_blank" >RIV/00216305:26220/14:PU108880 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.feec.vutbr.cz/EEICT/2014/sbornik/03doktorskeprojekty/07biomedicinskeinzenyrstviabioinformatika/06-xlabou01@stud.feec.vutbr.cz.pdf" target="_blank" >http://www.feec.vutbr.cz/EEICT/2014/sbornik/03doktorskeprojekty/07biomedicinskeinzenyrstviabioinformatika/06-xlabou01@stud.feec.vutbr.cz.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Brain: Anatomical connectivity for effective connectivity optimization

  • Original language description

    The study deals with optimization of effective brain connectivity with prior knowledge based on anatomical connectivity. Main attention is dedicated to distributions of anatomical connectivity probabilities over population of examined subjects between regions of interest selected on the basis of fMRI activation maps with motor task. Closing part describes how parameters of distributions should affect effective connectivity estimation.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    FH - Neurology, neuro-surgery, nuero-sciences

  • 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

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    The proceedings of the 20th conference EEICT 2014

  • ISBN

    978-80-214-4924-4

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    237-241

  • Publisher name

    Brno university of Technology

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Apr 24, 2014

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article