Cinema is a promising naturalistic stimulus that enables, for instance, elicitation of robust emotions during functional magnetic resonance imaging (fMRI). Inter-subject correlation (ISC) has been used as a model-free analysis method to map the highly complex hemodynamic responses that are evoked during watching a movie. Here, we extended the ISC analysis to frequency domain using wavelet analy...

Inter-subject correlation (ISC) is a widely used method for analyzing functional magnetic resonance imaging (fMRI) data acquired during naturalistic stimuli. A challenge in ISC analysis is to define the required sample size in the way that the results are reliable. We studied the effect of the sample size on the reliability of ISC analysis and additionally addressed the following question: How ...

Introduction Spontaneous blood-oxygen-level-dependent (BOLD) fluctuations under the resting brain state have been widely observed and hypothesized to reflect the ongoing activity of the brain. An interesting question about such ongoing activity is if and how (if yes) it would affect task-evoked brain activity [1] which can be studied by fMRI (functional Magnetic Resonance Imaging) BOLD contrast...

In the inter-subject correlation (ISC) based analysis of the functional magnetic resonance imaging (fMRI) data, the extent of shared processing across subjects during the experiment is determined by calculating correlation coefficients between the fMRI time series of the subjects in the corresponding brain locations. This implies that ISC can be used to analyze fMRI data without explicitly mode...

This study extends existing research on inter-subject correlations (ISCs) of brain responses as a measure of engagement, with a focus on the relationship between the structural coherence of a musical stream and the listener’s degree of engagement with it. EEG was recorded while subjects listened to naturalistic music (popular Hindi songs) presented in original versions and in temporally disrupt...

In recent studies, statistical relations among activities in different frequency EEG bands have been reported. Most of these studies investigate within-subject cross-frequency relations, such as amplitude-amplitude, phase-amplitude and phase-phase coupling between different frequencies. All these cross-frequency interactions are considered to be transient correlates of information processing. H...

A motor imagery (MI) based brain–computer interface (BCI) decodes the intention from electroencephalogram (EEG) of a subject and translates this into control signal. These intentions are hence classified as different cognitive tasks, e.g. left right hand movements. challenge in developing BCI is handling high dimensionality data recorded multichannel EEG signals which highly subject-specific. D...