Comparison of graph structure is a ubiquitous task in data analysis and machine learning,
with diverse applications in fields such as neuroscience, cyber security, social network …

Exposure to early-life adversity (ELA) increases the risk for psychopathologies associated
with amygdala-prefrontal cortex (PFC) circuits. While sex differences in vulnerability have …

Functional connectivity approaches have long been used in cognitive neuroscience to
establish pathways of communication between and among brain regions. However, the use …

Mesial temporal lobe epilepsy (mTLE) affects the brain networks at several levels and
patients suffering from mTLE experience cognitive impairment for language and memory …

During the performance of a specific task--or at rest--, the activity of different brain regions
shares statistical dependencies that reflect functional connections. While these relationships …

Spontaneous activity during the resting state, tracked by BOLD fMRI imaging, or shortly
rsfMRI, gives rise to brain-wide dynamic patterns of interregional correlations, whose …

With the advances and development of imaging and computer technologies, the application
of artificial intelligence (AI) in the processing of magnetic resonance imaging (MRI) data has …

Objective The study aimed to evaluate the predictive validity of the neural network (NN)
method for presurgical mapping of motor areas using resting-state functional MRI (rs-fMRI) …

Abstract Machine learning algorithms are increasingly being utilized to identify brain
connectivity biomarkers linked to behavioral and clinical outcomes. However, research often …

Neural complexity is thought to be associated with efficient information processing but the
exact nature of this relation remains unclear. Here, the relationship of fluid intelligence (gf) …