In this topical review, we present a brief overview of the different methods and measures to
detect the occurrence of critical transitions in complex systems. We start by introducing the …

Many real-world systems can exhibit tipping points and multiple stable states, creating the
potential for sudden and difficult to reverse transitions into a less desirable regime. The …

There is an ongoing debate whether generic early warning signals for critical transitions
exist that can be applied across diverse systems. The human epileptic brain is often …

Early warning signals (EWSs) aim to predict changes in complex systems from
phenomenological signals in time series data. These signals have recently been shown to …

Background In bipolar disorder treatment, accurate episode prediction is paramount but
remains difficult. A novel idiographic approach to prediction is to monitor generic early …

Background and objectives Much of the burden of depressive illness is due to relapses that
occur after treatment into remission. Prediction of an individual's imminent depressive …

Background and objectives In standard practice, sleep is classified into distinct stages by
human observers according to specific rules as for instance specified in the AASM manual …

Recent work has highlighted the utility of methods for early warning signal detection in
dynamic systems approaching critical tipping thresholds. Often these tipping points …

In response to external changes, ecosystems can undergo catastrophic transitions. Early
warning indicators aim to predict such transitions based on the phenomenon of critical …

Dynamical systems are known to exhibit sudden state transitions, with abrupt shifts from one
stable state to another. Such transitions are widely observed, with examples ranging from …