We conclude the review with an exercise in wishful thinking, which asks what the ideal
seizure prediction dataset would look like and how these data should be manipulated to …

The human brain has the capacity to rapidly change state, and in epilepsy these state
changes can be catastrophic, resulting in loss of consciousness, injury and even death …

This review highlights recent developments in the field of epileptic seizure prediction. We
argue that seizure prediction is possible; however, most previous attempts have used data …

Epilepsy is a common neurological disorder characterized by recurring seizures, but its
underlying mechanisms remain poorly understood. Despite extensive research, there are …

Epilepsy is a severely debilitating brain disease, often associated with premature death,
which has an urgent need for alternative methods of treatment. In fact, roughly 25% of …

Rationalized development of electrical stimulation (ES) therapy is of paramount importance.
Not only it will foster new techniques and technologies with increased levels of safety …

The understanding that hyper-excitability and hyper-synchronism in epilepsy are
indissociably bound by a cause-consequence relation has only recently been challenged …

Many patients with epilepsy do not obtain proper control of their seizures through
conventional treatment. We review aspects of the pathophysiology underlying epileptic …

The idea of the epileptic brain being highly excitable and facilitated to synchronic activity has
guided pharmacological treatment since the early twentieth century. Although tackling …

The brain oscillations may play a critical role in synchronizing neuronal assemblies in order
to establish appropriate sensory-motor integration. In fact, studies have demonstrated phase …