the attempt to find out if someone is telling a lie has been of human's interest. one of the techniques which is believed to be efficient in future is fmri (functional magnetic resonance imaging), using which the changes of regional blood flow during the designed paradigm can be recorded. this method has been considered as a better technique for studying lie and deception. for investigatin...

introduction: the aim of this study was to get to a neurological evaluation of one of the persian music scales, homayoun, on brain activation of non-musician subjects. we selected this scale because homayoun is one of the main scales in persian classical music which is similar to minor mode in western scales. methods: this study was performed on 19 right handed subjects, aging 22-31. here some ...

functional magnetic resonance imaging (fmri) has become the most popular method for imaging of brain functions. currently, there is a large variety of software packages for the analysis of fmri data, each providing many features for users. since there is no single package that can provide all the necessary analyses for the fmri data, it is helpful to know the features of each software package. ...

Introduction: Graph theoretical analysis of functional Magnetic Resonance Imaging (fMRI) data has provided new measures of mapping human brain in vivo. Of all methods to measure the functional connectivity between regions, Linear Correlation (LC) calculation of activity time series of the brain regions as a linear measure is considered the most ubiquitous one. The strength of the dependence obl...

Functional magnetic resonance imaging (fMRI) data provides information concerning activity in the brain and particular interactions between regions. Resting state fMRI is widely used for inferring connectivities which are not due to external factors. As such analyzes strongly rely on stationarity, change point procedures can be applied order detect possible deviations from this crucial assumpti...

Many methods have been proposed in the literature for diagnosis of Alzheimer's disease (AD) early stages, among which graph-based more popular, because their capability to utilize relational information different brain regions. Here, we design a novel graph signal processing based integrated AD detection model using multimodal deep learning that simultaneously utilizes both static and dynamic c...

background: alzheimer's disease is the most common form of dementia which is still difficult to be differentiated from other types of brain disorders. moreover, mild cognitive impairment refers to the presence of cognitive impairments that is not severe enough to meet the criteria of alzheimer's, and its diagnosis in early stages is so critical. there is currently no distinct method available f...

Brain age prediction is important for understanding brain development and aging. Currently, researchers can predict using resting-state functional MRI (rs-fMRI) data. However, there are differences in among different subjects, the same subject also has at ages. So far, how to accurately estimate rs-fMRI efficiently remains a challenging problem. Therefore, model with similarity metric convoluti...