Control of epileptic seizures in WAG/Rij rats by means of brain-computer interface

The main issue of epileptology is the elimination of epileptic events. This can be achieved by a system that predicts the emergence of seizures in conjunction with a system that interferes with the process that leads to the onset of seizure. The prediction of seizures remains, for the present, unresolved in the absence epilepsy, due to the sudden onset of seizures. We developed an algorithm for predicting seizures in real time, evaluated it and implemented it into an online closed-loop brain stimulation system designed to prevent typical for the absence of epilepsy of spike waves (SWD) in the genetic rat model. The algorithm correctly predicts more than 85% of the seizures and the rest were successfully detected. Unlike the old beliefs that SWDs are unpredictable, current results show that they can be predicted and that the development of systems for predicting and preventing closed-loop capture is a feasible step on the way to intervention to achieve control and freedom from epileptic seizures.

[1]  Annika Lüttjohann,et al.  The dynamics of cortico-thalamo-cortical interactions at the transition from pre-ictal to ictal LFPs in absence epilepsy , 2012, Neurobiology of Disease.

[2]  Alexander E. Hramov,et al.  On–off intermittency of thalamo-cortical oscillations in the electroencephalogram of rats with genetic predisposition to absence epilepsy , 2012, Brain Research.

[3]  Jan-Mathijs Schoffelen,et al.  Peri-ictal network dynamics of spike-wave discharges: Phase and spectral characteristics , 2013, Experimental Neurology.

[4]  Stephen M. Myers,et al.  Seizure prediction: Methods , 2011, Epilepsy & Behavior.

[5]  Anastasiya E. Runnova,et al.  Classifying the Perceptual Interpretations of a Bistable Image Using EEG and Artificial Neural Networks , 2017, Front. Neurosci..

[6]  Stiliyan Kalitzin,et al.  Dynamical diseases of brain systems: different routes to epileptic seizures , 2003, IEEE Transactions on Biomedical Engineering.

[7]  Stefano Boccaletti,et al.  Length distribution of laminar phases for type-I intermittency in the presence of noise. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[8]  E. van Luijtelaar,et al.  Genetic Animal Models for Absence Epilepsy: A Review of the WAG/Rij Strain of Rats , 2003, Behavior genetics.

[9]  Alexander E. Hramov,et al.  Time-frequency characteristics and dynamics of sleep spindles in WAG/Rij rats with absence epilepsy , 2014, Brain Research.

[10]  Z. Bortolotto,et al.  Review: Cholinergic mechanisms and epileptogenesis. The seizures induced by pilocarpine: A novel experimental model of intractable epilepsy , 1989, Synapse.

[11]  F. Mormann,et al.  Seizure prediction: the long and winding road. , 2007, Brain : a journal of neurology.

[12]  Vladimir A. Maksimenko,et al.  Methods of automated absence seizure detection, interference by stimulation, and possibilities for prediction in genetic absence models , 2016, Journal of Neuroscience Methods.

[13]  Annika Lüttjohann,et al.  Absence Seizure Control by a Brain Computer Interface , 2017, Scientific Reports.

[14]  Stefano Boccaletti,et al.  Macroscopic and microscopic spectral properties of brain networks during local and global synchronization. , 2017, Physical review. E.

[15]  M. O. Zhuravlev,et al.  Experimental measurements of human brain noise intensity in perception of ambiguous images , 2016 .

[16]  M. Trimble.  Anticonvulsant Drugs and Cognitive Function: A Review of the Literature , 1987, Epilepsia.

[17]  Byoung-Kyong Min,et al.  Focused ultrasound-mediated suppression of chemically-induced acute epileptic EEG activity , 2011, BMC Neuroscience.

[18]  Vladimir Nedayvozov,et al.  Visual perception affected by motivation and alertness controlled by a noninvasive brain-computer interface , 2017, PloS one.

[19]  M. Brodie.  Ethosuximide, Valproic Acid, and Lamotrigine in Childhood Absence Epilepsy , 2011 .

[20]  Alexander E. Hramov,et al.  Coherence resonance in stimulated neuronal network , 2018 .

[21]  Tobias Loddenkemper,et al.  Seizure detection, seizure prediction, and closed-loop warning systems in epilepsy , 2014, Epilepsy & Behavior.

[22]  M. Belluscio,et al.  Closed-Loop Control of Epilepsy by Transcranial Electrical Stimulation , 2012, Science.