Research Area: Machine Learning
Great effort has been made toward defining and characterizing the pre-ictal state. Many studies have pursued the idea that there are recognizable electrographic (EEG-based) features which occur before overt clinical seizure activity. However, development of reliable EEG-based seizure detection and prediction algorithms has been difficult. In this review, we discuss the concepts of seizure detection vs. prediction and the pre-ictal “clinical milieu” and “EEG milieu”. We proceed to discuss novel concepts of seizure detection based on the pre-ictal “physiological milieu”; in particular, we indicate some early evidence for the hypothesis that pre-ictal cell swelling/extracellular space constriction can be detected with novel optical methods. Development and validation of optical seizure detection technology could provide an entirely new translational approach for the many patients with intractable epilepsy.
Keywords:
Author(s) Name: Devin K.Binder, Sheryl R.Haut
Journal name: Epilepsy & Behavior
Conferrence name:
Publisher name: Elsevier
DOI: 10.1016/j.yebeh.2012.10.027
Volume Information: Volume 26, Issue 3, March 2013, Pages 247-252
