Filtering Resting State fMRI: Resting State Networks - Fact or Artefact?

    Activity: Talk or presentation typesLecture and oral contribution

    Description

    This workshop will discuss the possible underlying mechanisms 

    for the slow spontaneous task-unrelated fluctuations observed in 

    fMRI data, particularly during rest.  Low frequency (<0.1Hz) 

    fluctuations in the fMRI data have been found to be correlated 

    between functionally related regions, such as the motor cortex, 

    visual cortex, auditory cortex, attention areas, and the “default 

    mode network,” and is often used as a measure of “functional 

    connectivity.”  Studies have also indicated that these fluctuations 

    may affect perception or behavior, and that this “connectivity” may 

    be perturbed in various disorders.  This measure of connectivity, 

    however, is indirectly related to the neuronal activity and can be 

    strongly affected by non-neuronal physiological processes, such as 

    cardiac and respiratory fluctuations.  In this session, we will first 

    discuss the most common methods currently used to estimate 

    functional connectivity (seed region correlation and independent 

    component analysis, ICA), the confounds introduced by cardiac 

    and respiratory noise, and ways to reduce this noise in order to see 

    the underlying neuronal fluctuations.  This session will take a 

    closer look at possible underlying mechanisms of low-frequency 

    fluctuations in the fMRI signal – specifically, the role of 

    vasomotion, and finally correlations between the fMRI signal and 

    the neuronal electrical activity as measured by 

    electroencephalography (EEG). 

     

    Learning Objectives:  Having completed this workshop, 

    participants will be able to: 

     

     Understand the various sources of fluctuations in the fMRI 

    signal that form the basis for estimates of functional 

    connectivity     

     

     Understand methods to reduce confounding effects of 

    cardiac and respiratory fluctuations on fMRI data 

     

     Filtering Resting State fMRI 

    Torben E. Lund, the Danish National Research Foundation's 

    Center for Integrative Neuroscience, Aarhus University, Aarhus, 

    Denmark 

     

    The Default Mode Network and the Effects of Respiration 

    Variations 

    Rasmus M. Birn, Laboratory of Brain and Cognition, National 

    Institute of Mental Health, NIH, Bethesda, MD, USA 

     

    Origin of Low Frequency BOLD Fluctuations – Theory vs. 

    Empiric Evidence 

    Vesa Kiviniemi, Department of Diagnostic Radiology, University 

    of Oulu, Oulu, Finland 

     

    The Many EEG Faces of the Default Mode 

    Helmut Laufs, Department of Neurology, Johann Wolfgang 

    Goethe-Universität, Frankfurt am Main, Germany 

     

      
    Period17 Jun 2008
    Event titleAnual Meeting of the Organization for Mapping of the Human Brain
    Event typeConference
    Conference number14
    LocationMelbourne, AustraliaShow on map