Functional data analysis (FDA) involves the analysis of data whose ideal units of
observation are functions defined on some continuous domain, and the observed data …

Recent years have seen increased interest in neuroergonomics, which investigates the
brain activities of people engaged in diverse physical and cognitive activities at work and in …

Neurophysiological studies are often designed to examine relationships between measures
from different testing conditions, time points, or analysis techniques within the same group of …

Fatigue caused by sustaining submaximal-intensity muscle contraction (s) involves
increased activation in the brain such as primary motor cortex (M1), primary sensory cortex …

ABSTRACT BACKGROUND The events leading up to the development of new multiple
sclerosis (MS) lesions on conventional imaging are unknown. The purpose of this study is to …

In electro/psychophysiological experiments, linear mixed-effect modeling is an effective
statistical technique for data repeatedly observed from the same experimental participants or …

Functional analysis of variance (ANOVA) modeling has been proved particularly useful to
investigate the dynamic changes of functional data according to certain categorical factors …

Event-related potentials (ERPs) summarize electrophysiological brain response to specific
stimuli. They can be considered as correlated functions of time with both spatial correlation …

OBJECTIVE: To investigate the effect of force level and fatigue on brain activity during
handgrip tasks. METHODS: Electroencephalography (EEG) signals were recorded from …

This discussion of the spike train data applies the approach of Hadjipantelis et al. developed
for Linguistic data to jointly model both the phase and amplitude functions via a mixed …