Resting state fMRI (rs-fMRI) has recently been considered as a possible complement or alternative to task-based fMRI (tb-fMRI) for presurgical mapping. However, evidence of its usefulness remains scant, because existing studies have investigated relatively small samples and focused primarily on qualitative evaluation. The aim of this study is to investigate the clinical usefulness of rs-fMRI in...

Resting-state functional connectivity has been widely used for the past few years to forecast Alzheimer’s disease (AD). However, conventional correlation calculation does not consider different frequency band features that may hold brain atrophies’ original relationships. Previous works focuses on low-order neurodynamics and precisely manipulates mono-band span of resting-state magnetic imaging...

Knowing when a searcher’s information needs (IN) are satisfied is one of the ultimate goals in retrieval. However, psycho-physiological manifestation phenomenon remains unclear. In this study, we investigate brain manifestations moment an IN compared to not satisfied. To achieve this, used functional Magnetic Resonance Imaging (fMRI) measure activity during experimental task. The task was purpo...

aim and background: it has since long been known that there is strong relation between   psychological status and functional gastrointestinal disorders (fgid). however, until recently, the nature of this putative relationship was unclear due to a lack of non-invasive methods to investigate the neurobiological mechanisms underlying this relationship.  functional brain imaging has provided a meth...

Both resting state fMRI (R-fMRI) and task-based fMRI (T-fMRI) have been widely used to study the functional activities of the human brain during task-free and task-performance periods, respectively. However, due to the difficulty in strictly controlling the participating subject's mental status and their cognitive behaviors during fMRI scans, it has been very challenging to tell whether or not ...

Considering that functional magnetic resonance imaging (fMRI) signals from multiple subjects (MS) can be represented together as a sum of common and distinct rank-1 matrices, new MS dictionary learning (DL) algorithm named sparse group (common + distinct) bases (sgBACES) is proposed. Unlike existing MS-DL algorithms ignore fMRI data’s prior information, it formulated penalized plus const...

Blood oxygen contrast-functional magnetic resonance imaging (fMRI) signals are a convolution of neural and vascular components. Several studies indicate that task-related (T-fMRI) or resting-state (R-fMRI) responses linearly relate to hypercapnic task responses. Based on the linearity of R-fMRI and T-fMRI with hypercapnia demonstrated by different groups using different study designs, we hypoth...