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

Activity: Talk or presentation typesLecture and oral contribution

See relations at Aarhus University

Torben Ellegaard Lund - Lecturer

  • Center for Functionally Integrative Neuroscience

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 

 

  
17 Jun 2008

Event (Conference)

TitleAnual Meeting of the Organization for Mapping of the Human Brain
Date17/06/200817/06/2008
CityMelbourne, Australia

ID: 14735357