DocumentCode
1849679
Title
Implementation of Low Resolution Electro-Magnetic Tomography with fMRI Statistical Maps on Realistic Head Models
Author
Duru, Adil Deniz ; Eryilmaz, H. ; Emir, U. ; Bayraktaroglu, Z. ; Demiralp, T. ; Ademoglu, A.
Author_Institution
Univ. of Bogazici, Istanbul
fYear
2007
fDate
22-26 Aug. 2007
Firstpage
5239
Lastpage
5242
Abstract
Functional neuroimaging studies can be performed by combining the modalities of fMRI and Electroencephalography because of their complementary properties. The main advantage of EEG imaging among other modalities is the high temporal resolution while fMRI has high spatial resolution. So, usage of these procedures is going to help us to gain more information about the functional organization of the brain. In this study, changes in the relationship between steady state visual evoked potentials (SSVEP) generators and BOLD responses during visual stimulation have been systematically studied with 5 stimulus presentation rates (2, 4, 6, 8,10) between 2-10 Hz. fMRI Analysis was carried out using statistical parametric mapping (SPM). The result of fMRI analysis is used as a localization mask for SSVEP localization process. SSVEP generators are localized using low resolution electro magnetic tomography (LORETA) which is implemented on a realistic head model. Then, for each stimulus frequency voxel by voxel correlation values of the active regions are computed.
Keywords
biomedical MRI; brain; correlation methods; electroencephalography; image reconstruction; image segmentation; inverse problems; medical image processing; neurophysiology; statistical analysis; visual evoked potentials; BOLD responses; EEG image reconstruction; electroencephalography; fMRI statistical parametric mapping; frequency 2 Hz to 10 Hz; functional brain organization; functional neuroimaging studies; head models; inverse problems; low resolution electro-magnetic tomography; segmentation process; spatial resolution; steady state visual evoked potentials; temporal resolution; visual stimulation; voxel by voxel correlation values; Brain modeling; Electroencephalography; High-resolution imaging; Image resolution; Magnetic analysis; Magnetic heads; Neuroimaging; Spatial resolution; Steady-state; Tomography; Inverse Problem; Loreta; Realistic Head Model; Topography; Algorithms; Artificial Intelligence; Brain Mapping; Computer Simulation; Data Interpretation, Statistical; Evoked Potentials, Visual; Head; Humans; Magnetic Resonance Imaging; Models, Neurological; Pattern Recognition, Automated; Tomography; Visual Cortex;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location
Lyon
ISSN
1557-170X
Print_ISBN
978-1-4244-0787-3
Type
conf
DOI
10.1109/IEMBS.2007.4353523
Filename
4353523
Link To Document