• DocumentCode
    1820998
  • Title

    Inferring functional connectivity using spatial modulation measures of fMRI signals within brain regions of interest

  • Author

    Ng, Bernard ; Abugharbieh, Rafeef ; McKeown, Martin J.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., British Columbia Univ., Vancouver, BC
  • fYear
    2008
  • fDate
    14-17 May 2008
  • Firstpage
    572
  • Lastpage
    575
  • Abstract
    We propose inferring functional connectivity between brain regions by examining the spatial modulation of the blood oxygen level dependent (BOLD) signals within brain regions of interest (ROIs). This is motivated by our previous work, where the spatial distribution of BOLD signals within an ROI was found to be modulated by task. Applying replicator dynamics to our proposed spatial feature time courses on real functional magnetic resonance imaging (fMRI) data detected task-related changes in the composition of the brain´s functional networks, whereas using classical mean intensity features resulted in little changes being detected. Thus, our results suggest that intensity is not the only co- activating feature in fMRI data. Instead, spatial modulations may also be used for inferring functional connectivity.
  • Keywords
    biomedical MRI; blood; brain; medical signal processing; BOLD signals; blood oxygen level dependent; brain functional networks; functional magnetic resonance imaging; inferring functional connectivity; replicator dynamics; spatial distribution; spatial modulation; Biomedical imaging; Blood; Electric variables measurement; Evolution (biology); Intensity modulation; Magnetic resonance imaging; Nervous system; Neuroimaging; Principal component analysis; Shape; fMRI; functional connectivity; region of interest (ROI); replicator dynamics; spatial modulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4244-2002-5
  • Electronic_ISBN
    978-1-4244-2003-2
  • Type

    conf

  • DOI
    10.1109/ISBI.2008.4541060
  • Filename
    4541060