Ongoing EEG artifact correction using blind source separation.

Objective: Analysis of the electroencephalogram (EEG) for epileptic spike and seizure detection or brain-computer interfaces can be severely hampered by the presence of artifacts. The aim of this study is to describe and evaluate a fast automatic algorithm for ongoing correction of artifacts in continuous EEG recordings, which can be applied offline and online.

Methods: The automatic algorithm for ongoing correction of artifacts is based on fast blind source separation.

The Onset of Interictal Spike-Related Ripples Facilitates Detection of the Epileptogenic Zone.

Accurate estimation of the epileptogenic zone (EZ) is essential for favorable outcomes in epilepsy surgery. Conventional ictal electrocorticography (ECoG) onset is generally used to detect the EZ but is insufficient in achieving seizure-free outcomes. By contrast, high-frequency oscillations (HFOs) could be useful markers of the EZ.

High frequency oscillations are less frequent but more specific to epileptogenicity during rapid eye movement sleep.

Objective: We hypothesized that high frequency oscillations (HFOs) are differently suppressed during rapid eye movement sleep (REM) between epileptogenic and less epileptogenic cortices, and that the suppressive effect can serve as a specific marker of epileptogenicity.

Methods: Intracranial electroencephalography (EEG) was recorded in 13 patients with drug-resistant epilepsy. HFOs between 80 and 200Hz were semi-automatically detected from total 15-min EEG epochs each for REM and slow wave sleep (SWS).

Time-varying inter-hemispheric coherence during corpus callosotomy.

Objective: Corpus callosotomy limits the bilateral synchrony of epileptic discharges. However, the instantaneous changes in bilateral synchrony during corpus callosotomy are unclear. The present study investigated how and when bilateral synchrony is suppressed in the anterior and then posterior steps of corpus callosotomy.