An integrated model for magnetoencephalography (MEG) and functional Magnetic Resonance Imaging (fMRI) is proposed. In the proposed model, MEG and fMRI outputs are related to the corresponding aspects of neural activities in a voxel. Post synaptic potentials (PSPs) and action potentials (APs) are two main signals generated by neural activities. In the model, both of MEG and fMRI are related to t...

conclusions both task-related and resting fmri techniques have the potential to detect early brain dysfunction related to ad. however, the use of fmri in ad populations thus far has been limited to a relatively small number of research groups. results bold fmri is considered to reflect the joined synaptic activity of neurons through mri signal changes because of alterations in blood flow, blood...

Introduction: about 20% to 30% of patients with epilepsy are diagnosed with drug-resistant epilepsy and one third of these are candidates for epilepsy surgery. Surgical resection of the epileptogenic tissue is a well-established method for treating patients with intractable focal epilepsy. Determining language laterality and locality is an important part of a comprehensive epilepsy program befo...

Introduction: The accuracy of analyzing Functional MRI (fMRI) data is usually decreases in the presence of noise and artifact sources. A common solution in for analyzing fMRI data having high noise is to use suitable preprocessing methods with the aim of data denoising. Some effects of preprocessing methods on the parametric methods such as general linear model (GLM) have previously been evalua...

functional magnetic resonance imaging (fmri) is a safe and non-invasive way to assess brain functions by using signal changes associated with brain activity. the technique has become a ubiquitous tool in basic, clinical and cognitive neuroscience. this method can measure little metabolism changes that occur in active part of the brain. we process the fmri data to be able to find the parts of br...

an integrated model for magnetoencephalography (meg) and functional magnetic resonance imaging (fmri) is proposed. in the proposed model, meg and fmri outputs are related to the corresponding aspects of neural activities in a voxel. post synaptic potentials (psps) and action potentials (aps) are two main signals generated by neural activities. in the model, both of meg and fmri are related to t...

introduction: the accuracy of analyzing functional mri (fmri) data is usually decreases in the presence of noise and artifact sources. a common solution in for analyzing fmri data having high noise is to use suitable preprocessing methods with the aim of data denoising. some effects of preprocessing methods on the parametric methods such as general linear model (glm) have previously been evalua...

introduction: prior studies comparing hemodynamic response function (hrf) in the young and elderly adults based on fmri data have reported inconsistent findings for brain vision and motor regions in healthy aging. it is shown that the averaging method employed in all previous works has caused this inconsistency. the averaging is so sensitive to outliers and noise. however, fmri data are obscure...