In this paper we propose a new method for classification of subjects into schizophrenia and control groups using functional magnetic resonance imaging (fMRI) data. In the preprocessing step, the number of fMRI time points is reduced using principal component analysis (PCA). Then, independent component analysis (ICA) is used for further data analysis. It estimates independent components (ICs) of...

This manuscript reviews the current stance and the pertinent problems of transcranial magnetic stimulation (TMS) and functional magnetic resonance imaging (fMRI) as brain mapping methodologies. The missing structure-function relation limits the use of TMS, whereas the uncertainty about the functional significance of activated cortical regions might render interpretation of fMRI studies difficul...

nowadays, scientific c findings in the field of regeneration of nervous system have revealed the possibility of stem cell based therapies for damaged brain tissue related disorders like stroke. furthermore, to achieve desirable outcomes from cellular therapies, one needs to monitor the migration, engraftment, viability, and also functional fate of transplanted stem cells. magnetic resonance ima...

In a recent psychophysiological study using simultaneous electroencephalography/functional magnetic resonance imaging (EEG/fMRI) to investigate pain processing in the human brain we also sought to evaluate the usefulness of recording galvanic skin response (GSR)/electrodermal activity (EDA) during the course of the experiment. Our questions/objectives were a) is it possible to obtain single-tri...

Functional magnetic resonance imaging (fMRI) is recently developing as imaging modality used for mapping hemodynamics of neuronal and motor event related tissue blood oxygen level dependence (BOLD) in terms of brain activation. Image processing is performed by segmentation and registration methods. Segmentation algorithms provide brain surface-based analysis, automated anatomical labeling of co...

Functional magnetic resonance imaging (fMRI) is a technique that exploits magnetic resonance imaging (MRI) to detect regional brain activity through measurement of the hemodynamic response that is coupled to electrical neuronal activity. The most common fMRI method detects blood oxygen level dependent (BOLD) contrast. The BOLD effect represents alteration in the ratio of deoxygenated to oxygena...

Billions of people play Internet games and some them may develop gaming disorder (IGD), yet the differences between IGD non-disordered but heavy use behavior remain unclear. We used multiple behaviors multimodal functional magnetic resonance imaging (fMRI) to examine specificity impulse control differentiate from use. One hundred sixty subjects, including patients with (PIGD), participants (NIG...

Functional connectivity (FC) studies have demonstrated the overarching value of studying brain and its disorders through undirected weighted graph functional magnetic resonance imaging (fMRI) correlation matrix. However, most work with FC depends on way is computed, it further manual post-hoc analysis matrices. In this work, we propose a deep learning architecture BrainGNN that learns structure...

Diffusion-weighted (DW)-functional magnetic resonance imaging (fMRI) is a recently reported technique for measuring neural activities by using diffusion-weighted imaging (DWI). DW-fMRI is based on the property that cortical cells swell when the brain is activated. This approach can be used to observe changes in water diffusion around cortical cells. The spatial and temporal resolutions of DW-fM...

During resting conditions the brain remains functionally and metabolically active. One manifestation of this activity that has become an important research tool is spontaneous fluctuations in the blood oxygen level-dependent (BOLD) signal of functional magnetic resonance imaging (fMRI). The identification of correlation patterns in these spontaneous fluctuations has been termed resting state fu...