Autism spectrum disorder (ASD) is a mental and the main problem in ASD treatment has no definite cure, one possible option to control its symptoms. Conventional assessment using questionnaires may not be accurate required evaluation of trained experts. Several attempts use resting-state functional magnetic resonance imaging (fMRI) as an assisting tool combined with classifier have been reported...

Introduction Simultaneous acquisition of fMRI and EEG is thought to be a potential solution for enhancing the temporal resolution of fMRI. To enhance the temporal resolution of fMRI with aids of the EEG data, it is essential to match the fMRI data precisely with the EEG data in the spatial domain. For better spatial matching between fMRI and EEG, we applied EEG source localization to the EP/ERP...

Functional magnetic resonance imaging (fMRI) is an important tool for investigating human brain function, but the relationship between the hemodynamically based fMRI signals in the human brain and the underlying neuronal activity is unclear. We recorded single unit activity and local field potentials in auditory cortex of two neurosurgical patients and compared them with the fMRI signals of 11 ...

Abstract One of the most significant challenges in neuroscience community is to understand how human brain works. Recent progress neuroimaging techniques have validated that it possible decode a person’s thoughts, memories, and emotions via functional magnetic resonance imaging (i.e., fMRI) since can measure neural activation brains with satisfied spatiotemporal resolutions. However, unpreceden...

Abstract Background The assumption that functional magnetic resonance imaging (fMRI) noise has constant volatility recently been challenged by studies examining heteroscedasticity arising from head motion and physiological noise. present study builds on this work using latest methods the field of financial mathematics to model fMRI volatility. Methods Multi-echo phantom human scans were used re...

Subsequent memory paradigms allow to identify neural correlates of successful encoding by separating brain responses as a function performance during later retrieval. In functional magnetic resonance imaging (fMRI), the paradigm typically elicits activations medial temporal lobe, prefrontal and parietal cortical structures in young, healthy participants. This categorical approach is, however, l...

Accumulating evidence identifies emotions as drivers of effective learning. In parallel, game-based learning was found to emotionally engage learners, allegedly harnessing the fundamental tie between and cognition. Questioning further whether how elicit emotional processes, current fMRI study examined neurofunctional correlates by directly comparing a non-game-based version digital task. We eva...

Functional magnetic resonance imaging (fMRI) is a noninvasive tool used to probe cognitive and affective processes. Although fMRI provides indirect measures of neural activity, the advent of fMRI has allowed for1) the corroboration of significant animal findings in the human brain, and2) the expansion of models to include more common human attributes that inform behavior. In this review, we bri...

In this review we discuss various recent topics that characterize functional magnetic resonance imaging (fMRI). These topics include a brief description of MRI image acquisition, how to cope with noise or signal fluctuation, the basis of fMRI signal changes, and the relation of MRI signal to neuronal events. Several observations of fMRI that show good correlation to the neurofunction are referr...