DocumentCode :
2352307
Title :
Combining functional MRI and EEG source imaging
Author :
Singh, M. ; Khosla, D. ; Rice, D. ; Kim, T. ; Kim, H.
Author_Institution :
Dept. of Radiol. & Biomed. Eng., Univ. of Southern California, Los Angeles, CA, USA
Volume :
4
fYear :
1994
fDate :
30 Oct-5 Nov 1994
Firstpage :
1547
Abstract :
Even though the entire data for multislice imaging in functional magnetic resonance imaging (fMRI) can be acquired in 50-100 ms using echo-planar imaging, the effective temporal resolution for studying brain function is limited to 1-2s due to the relatively slow temporal response of the underlying hemodynamics. The objective of the preliminary study reported here was to combine evoked potential measurements (commonly referred to as EEG) with fMRI of the same subject to improve temporal resolution. EEG and 1.5T fMRI data were acquired from the subjects during checkerboard stimulation. The EEG data were recorded on a standard 10-20 electrode placement system and sources were reconstructed using a 4-sphere model based on the anatomical MRI of the subjects. Simulated annealing based algorithms were developed to estimate single equivalent dipole and multiple dipole parameters for both single time-point and spatio-temporal EEG data. The results from both single and multiple dipole estimations indicate good correlation between the dipole locations and fMRI
Keywords :
biomedical NMR; brain; electroencephalography; haemodynamics; image reconstruction; image resolution; medical image processing; medical signal processing; simulated annealing; 1.5 T; 4-sphere model; 50 to 100 ms; EEG source imaging; anatomical MRI; brain function; checkerboard stimulation; dipole locations; echo-planar imaging; effective temporal resolution; evoked potential measurements; functional MRI; functional magnetic resonance imaging; hemodynamics; multiple dipole parameters; multislice imaging; simulated annealing based algorithms; single equivalent dipole parameters; single time-point EEG data; slow temporal response; spatio-temporal EEG data; standard 10-20 electrode placement system; Biomedical engineering; Biomedical imaging; Brain modeling; Electroencephalography; Inverse problems; Magnetic resonance imaging; Optimization methods; Parameter estimation; Radiology; Simulated annealing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nuclear Science Symposium and Medical Imaging Conference, 1994., 1994 IEEE Conference Record
Conference_Location :
Norfolk, VA
Print_ISBN :
0-7803-2544-3
Type :
conf
DOI :
10.1109/NSSMIC.1994.474767
Filename :
474767
Link To Document :
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