Today, neuroimaging techniques are frequently used to investigate the integration of
functionally specialized brain regions in a network. Functional connectivity, which quantifies …

Research in seizure prediction has come a long way since its debut almost 4 decades ago.
Early studies suffered methodological caveats leading to overoptimistic results and lack of …

The electroencephalogram (EEG) is the most prominent means to study epilepsy and
capture changes in electrical brain activity that could declare an imminent seizure. In this …

The electroencephalogram (EEG) is the most promising and efficient technique to study
epilepsy and record all the electrical activity going in our brain. Automated screening of …

Brain monitoring combined with automatic analysis of EEGs provides a clinical decision
support tool that can reduce time to diagnosis and assist clinicians in real-time monitoring …

A novel patient-specific seizure prediction method based on the analysis of positive zero-
crossing intervals in scalp electroencephalogram (EEG) is proposed. In a moving-window …

We assess and compare the effects of both closed-loop and open-loop neurostimulation of
the rat hippocampus by means of a custom low-power programmable therapeutic …

A patient-specific algorithm, for epileptic seizure prediction, based on multiclass support-
vector machines (SVM) and using multi-channel high-dimensional feature sets, is presented …

The unpredictable and random occurrence of seizures is of the most distressful issue
affecting patients and their families. Unattended seizures can have serious consequences …

Much effort has been put into improving dry electrodes, which do not utilize a liquid
electrolyte. One study reports the use of only a very small volume of gel, which is released …