Implementation of low resolution electro-magnetic tomography with FMRI statistical maps on realistic head models.

Journal article

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.

Authors: Duru, A; Eryilmaz, H; Emir, U; Bayraktaroglu, Z; Demiralp, T

• Journal: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
• Volume: 2007
• Pages: 5239-5242
• Publication date: 2007-01-01
• DOI: 10.1109/iembs.2007.4353523
• ISSN: 1557-170X
• Language: English
• Keywords: Magnetic Resonance Imaging; Humans; Artificial Intelligence; Computer Simulation; Evoked Potentials, Visual; Tomography; Data Interpretation, Statistical; Visual Cortex; Head; Models, Neurological; Pattern Recognition, Automated; Brain Mapping; Algorithms