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

Neuroimaging‐based approaches have been extensively applied to study mental illness in
recent years and have deepened our understanding of both cognitively healthy and …

Although approximately 90% of the US population will experience a traumatic event within
their lifetime, only a fraction of those traumatized individuals will develop posttraumatic …

Background The unparalleled performance of deep learning approaches in generic image
processing has motivated its extension to neuroimaging data. These approaches learn …

Objective Depression is associated with accelerated aging and age‐related diseases.
However, mechanisms underlying this relationship remain unclear. The aim of this study …

Neuroimaging techniques are widely used in neuroscience to visualize neural activity, to
improve our understanding of brain mechanisms, and to identify biomarkers—especially for …

Background Alzheimer's disease (AD) is the most common age-related problem and
progresses in different stages, including mild cognitive impairment (early stage), mild …

Functional magnetic resonance imaging (fMRI) at resting state (RS) has been widely used to
characterize the main brain networks. Functional connectivity (FC) has been mostly …

The activity of functional brain networks is responsible for the emergence of time-varying
cognition and behaviour. Accordingly, time-varying correlations (Functional Connectivity) in …

In the era of big data, where vast amounts of information are being generated and collected
at an unprecedented rate, there is a pressing demand for innovative data-driven multi-modal …