Arousal may be understood on a spectrum, with excessive sleepiness, cognitive dysfunction,
and inattention on one side, a wakeful state in the middle, and hypervigilance, panic, and …

Network Medicine applies network science approaches to investigate disease
pathogenesis. Many different analytical methods have been used to infer relevant molecular …

Cerebello-thalamo-cortical loops play a major role in the emergence of pathological tremors
and voluntary rhythmic movements. It is unclear whether these loops differ anatomically or …

Learning that certain cues or environments predict threat enhances survival by promoting
appropriate fear and the resulting defensive responses. Adapting to changing stimulus …

Resting-state functional magnetic resonance imaging (rs-fMRI) has been successfully
employed to understand the organisation of the human brain. Typically, the brain is …

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

Optimal integration and segregation of neuronal connections are necessary for efficient
large-scale network communication between distributed cortical regions while allowing for …

Correlation-based sliding window analysis (CSWA) is the most commonly used method to
estimate time-resolved functional MRI (fMRI) connectivity. However, instantaneous phase …

MRI-derived brain networks have been widely used to understand functional and structural
interactions among brain regions, and factors that affect them, such as brain development …

Background Network medicine is an emerging area of research that focuses on delving into
the molecular complexity of the disease, leading to the discovery of network biomarkers and …