Conventional monoamine-based pharmacotherapy, considered the first-line treatment for
major depressive disorder (MDD), has several challenges, including high rates of non …

Recently, brain networks have been widely adopted to study brain dynamics, brain
development, and brain diseases. Graph representation learning techniques on brain …

In mild cognitive impairment (MCI), cognitive decline is associated with abnormal changes of
cerebral blood flow (CBF). Arterial spin labeling magnetic resonance imaging (ASL-MRI) is …

Developmental Coordination Disorder (DCD) is a heterogeneous neurodevelopmental
disorder known for primary symptoms of motor learning and execution difficulties. Recent …

Modeling dynamic interactions among network components is crucial to uncovering the
evolution mechanisms of complex networks. Recently, spatio-temporal graph learning …

No diagnostic or predictive instruments to help with early diagnosis and timely therapeutic
intervention are available as yet for most neuro-psychiatric disorders. A quantum potential …

This paper represents global value chains (GVCs) as weighted networks of foreign value
added in exports, which allows for the identification of the specific roles of countries and for …

The cornerstone of statistical mechanics of complex networks is the idea that the links, and
not the nodes, are the effective particles of the system. Here, we formulate a map** …

We present a comparison between various algorithms of inference of covariance and
precision matrices in small data sets of real vectors of the typical length and dimension of …

Network neuroscience shed some light on the functional and structural modifications
occurring to the brain associated with the phenomenology of schizophrenia. In particular …