Abstract: In some embodiments, an electrical probing stimulation pattern is delivered to the brain of a subject. A response to the electrical probing is analyzed, and used to determine a type of predicted seizure. The type of predicted seizure may be used to determine a treatment electrical stimulation pattern that may be administered to prevent onset of the predicted seizure. In some embodiments, a predicted seizure metric is calculated, which, in some implementations, acts as an indicator of “distance” (e.g., probability distance) to the predicted seizure. Furthermore, a subject model may be trained to assist with determining the type of predicted seizure, and determining the treatment electrical stimulation pattern.

Abstract: High frequency oscillations (HFOs) are automatically detected in electroencephalogram (EEG) signals and analyzed to assess whether they are predictive of the onset of a neurological dysfunction in a subject or an indication of nonneurological electrical activity or noise in the EEG signal. In some examples, HFOs, serving as a biomarker for epileptic seizures, are identified and used to identify seizure networks within a patient for clinician monitoring or for controlling automated treatment systems. The analysis may be used to create enhanced EEG displays, with HFOs identified on the EEG.

Abstract: Compositions and methods for treating and/or preventing a medical condition are provided. For example, in one aspect the present invention provides a composition for treating or preventing a medical condition in a subject. Such a composition may include a sodium phosphate compound, an ammonium compound, and a silicate compound. Such a composition may be formulated for a variety of administrations modes, including, without limitation, oral, intramuscular, intravenous, transdermal, buccal, etc.