Collecting comprehensive data sets of the same subject has become a standard in
neuroscience research and uncovering multivariate relationships among collected data sets …

Graph theory is now becoming a standard tool in system‐level neuroscience. However,
endowing observed brain anatomy and dynamics with a complex network representation …

Canonical correlation analysis (CCA) has become a key tool for population neuroimaging,
allowing investigation of associations between many imaging and non-imaging …

Enhanced late positive potentials (LPPs) evoked by highly arousing unpleasant and
pleasant stimuli have been consistently observed in event-related potential experiments in …

It is a routine task in metabolic engineering to introduce multicomponent pathways into a
heterologous host for production of metabolites. However, this process sometimes may take …

Vector autoregression (VAR) and structural equation modeling (SEM) are two popular brain-
network modeling tools. VAR, which is a data-driven approach, assumes that connected …

Functional network connectivity (FNC) is a method of analyzing the temporal relationship of
anatomical brain components, comparing the synchronicity between patient groups or …

A general framework for modeling dependence in multivariate time series is presented. Its
fundamental approach relies on decomposing each signal inside a system into various …

Causality analysis continues to remain one of the fundamental research questions and the
ultimate objective for a tremendous amount of scientific studies. In line with the rapid …

Cerebral infra-slow oscillation (ISO) is a source of vasomotion in endogenic (E; 0.005–0.02
Hz), neurogenic (N; 0.02–0.04 Hz), and myogenic (M; 0.04–0.2 Hz) frequency bands. In this …