The classic brain criticality hypothesis postulates that the brain benefits from operating near
a continuous second-order phase transition. Slow feedback regulation of neuronal activity …

Neuronal oscillations are commonly analyzed with power spectral methods that quantify
signal amplitude, but not rhythmicity or 'oscillatoriness' per se. Here we introduce a new …

Many real-world systems undergo abrupt changes in dynamics as they move across critical
points, often with dramatic and irreversible consequences. Much existing theory on …

Objective Postsurgical seizure freedom in drug‐resistant epilepsy (DRE) patients varies from
30% to 80%, implying that in many cases the current approaches fail to fully map the …

Multidimensional reconstruction of brain attractors from electroencephalography (EEG) data
enables the analysis of geometric complexity and interactions between signals in state …

Oscillatory complex networks in the metastable regime have been used to study the
emergence of integrated and segregated activity in the brain, which are hypothesised to be …

Can focal brain lesions, such as those caused by stroke, disrupt critical brain dynamics?
What biological mechanisms drive its recovery? In a recent study, we showed that focal …

In conscious states, the electrodynamics of the cortex are reported to work near a critical
point or phase transition of chaotic dynamics, known as the edge-of-chaos, representing a …

Objective Coupling between the amplitude envelopes (AEs) of regional cortical activity
reflects mechanisms that coordinate the excitability of large-scale cortical networks. We used …

The hypothesis that the brain operates near criticality explains observations of complex,
often scale-invariant, neural activity. However, the brain is not static, its dynamical state …