The simultaneous acquisition of electroencephalography (EEG) with functional magnetic
resonance imaging (fMRI) is a very promising non-invasive technique for the study of human …

Brain activity and connectivity are distributed in the three-dimensional space and evolve in
time. It is important to image brain dynamics with high spatial and temporal resolution …

Recent resting-state fMRI studies have shown that the apparent functional connectivity (FC)
between brain regions may undergo changes on time-scales of seconds to minutes, the …

How long neural information is stored in a local brain area reflects functions of that region
and is often estimated by the magnitude of the autocorrelation of intrinsic neural signals in …

Accurate identification of brain function is necessary to understand the neurobiology of
cognitive ageing, and thereby promote well-being across the lifespan. A common tool used …

Simultaneous electroencephalography-functional MRI (EEG-fMRI) is a technique that
combines temporal (largely from EEG) and spatial (largely from fMRI) indicators of brain …

Anomaly detection of time series is an important topic that has been widely studied in many
application areas. A number of computational methods were developed for this task in the …

Spontaneous activity observed with resting-state fMRI is used widely to uncover the brain's
intrinsic functional networks in health and disease. Although many networks appear modular …

Multimodal data are ubiquitous in engineering, communications, robotics, computer vision,
or more generally speaking in industry and the sciences. All disciplines have developed …

Drowsy driving is among the most critical causes of fatal crashes. Thus, the development of
an effective algorithm for detecting a driver's cognitive state demands immediate attention …