title: Implementation of low resolution electro-magnetic tomography with FMRI statistical maps on realistic head models.
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.
authors.affiliation: Institute of Biomedical Engineering, University of Bogazici, Istanbul, Turkey. deniz.duru@boun.edu.tr
authors.forename: Adil Deniz
authors.initials: AD
authors.lastname: Duru
authors.forename: Hamdi
authors.initials: H
authors.lastname: Eryilmaz
authors.forename: Uzay
authors.initials: U
authors.lastname: Emir
authors.forename: Zubeyir
authors.initials: Z
authors.lastname: Bayraktaroglu
authors.forename: Tamer
authors.initials: T
authors.lastname: Demiralp
authors.forename: Ahmet
authors.initials: A
authors.lastname: Ademoglu
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D001931:Brain Mapping / Q000379:methods*; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D005074:Evoked Potentials, Visual / Q000502:physiology*; D006257:Head / Q000502:physiology; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008959:Models, Neurological; D010363:Pattern Recognition, Automated / Q000379:methods*; D014054:Tomography / Q000379:methods*; D014793:Visual Cortex / Q000502:physiology*