Within the field of computational neuroscience there are great expectations of finding new
ways to rebalance the complex dynamic system of the human brain through controlled …

Traditionally, in neuroimaging, model-free analyses are used to find significant differences
between brain states via signal detection theory. Depending on the a priori assumptions …

Model-based data analysis of whole-brain dynamics links the observed data to model
parameters in a network of neural masses. Recently, studies focused on the role of regional …

Whole-brain modeling of epilepsy combines personalized anatomical data with dynamical
models of abnormal activities to generate spatio-temporal seizure patterns as observed in …

The study of the brain's dynamical activity is opening a window to help the clinical
assessment of patients with disorders of consciousness. For example, glucose uptake and …

Disorders of consciousness are complex conditions characterised by persistent loss of
responsiveness due to brain injury. They present diagnostic challenges and limited options …

Human brain effective connectivity characterizes the causal effects of neural activities
among different brain regions. Studies of brain effective connectivity networks (ECNs) for …

The brain is a nonequilibrium system whose dynamics change in different brain states, such
as wakefulness and deep sleep. Thermodynamics provides the tools for revealing these …

The structure of a complex network plays a crucial role in determining its dynamical
properties. In this work, we show that the the degree to which a network is directed and …

Consciousness is supported by complex patterns of brain activity which are indicative of
irreversible nonequilibrium dynamics. While the framework of stochastic thermodynamics …