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Electroencephalography (EEG) forward solution computes the electrical potentials over the electrodes that are lying on the scalp surface. Forward solution requires a numerical head model to work on. The head model can be spherical or a realistic one. Accuracy of the forward problem can be improved by using realistic head models. Triangulated realistic head model is an input for the Boundary Element...
The EEG inverse problem of reconstructing the neural electrical current that produced a given measurement is ill-posed and many different source configurations can yield the same scalp potentials. In this study, we compared localizing capabilities or three EEG inverse algorithms: MUSIC, LORETA and Bayesian MCMC method. Simulations on a realistic head model show that comparing to MUSIC and LORETA,...
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...
Neuroimaging is an essential tool for the diagnosis of cognitive brain disorders along with the EEG measurements. EEG and fMRI are the two crucial modalities which reflect the functional activity inside the brain. EEG is easy to apply and provides high temporal resolution but has poor spatial resolution. Contrarily, fMRI has a higher spatial resolution while having a poor temporal resolution. In this...
In this study, electroencephalography (EEG) inverse problem is formulated using Bayesian inference. The posterior probability distribution of current sources is sampled by Markov Chain Monte Carlo (MCMC) methods. Sampling algorithm is designed by combining Reversible Jump (RJ) which permits trans-dimensional iterations and Simulated Annealing (SA), a heuristic to escape from local optima. Two different...
Localization of the cognitive activity in the brain is one of the major problems in neuroscience. Current techniques for neuro-imaging are based on functional magnetic resonance imaging (fMRI), positron emission tomography (PET), and event related potential (ERP) recordings. The highest temporal resolution is achieved by ERP, which is crucial for temporal localization of activities. However, the spatial...
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