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
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