DocumentCode :
3685321
Title :
Retrieving the Hemodynamic Response Function in resting state fMRI: Methodology and application
Author :
Guo-Rong Wu;Gopikhrishna Deshpande;Steven Laureys;Daniele Marinazzo
Author_Institution :
Department of Data Analysis, University of Ghent, B9000, Belgium
fYear :
2015
Firstpage :
6050
Lastpage :
6053
Abstract :
In this paper we present a procedure to retrieve the hemodynamic response function (HRF) from resting state functional magnetic resonance imaging (fMRI) data. The fundamentals of the procedures are further validated by considering simultaneous electroencephalographic (EEG) recordings. The typical HRF shape at rest for a group of healthy subject is presented. Then we present the modifications to the shape of the HRF at rest following two physiological modulations: eyes open versus eyes closed and propofol-induced modulations of consciousness.
Keywords :
"Shape","Electroencephalography","Hemodynamics","Time series analysis","Deconvolution","Modulation","Magnetic resonance imaging"
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
ISSN :
1094-687X
Electronic_ISBN :
1558-4615
Type :
conf
DOI :
10.1109/EMBC.2015.7319771
Filename :
7319771
Link To Document :
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