Methods of automated absence seizure detection, interference by stimulation, and possibilities for prediction in genetic absence models

Journal of Neuroscience Methods

Volumn 260, Issue , 2016, Pages 144-158

  van Luijtelaar, Gilles ^a   Lüttjohann, Annika ^a,b   Makarov, Vladimir V ^c,d   Maksimenko, Vladimir A ^c,d   Koronovskii, Alexei A ^c,d   Hramov, Alexander E ^c,d  

^a RADBOUD UNIVERSITY NIJMEGEN   (Netherlands)

^b UNIVERSITY OF MÜNSTER   (Germany)

^c SARATOV STATE TECHNICAL UNIVERSITY   (Russian Federation)

^d SARATOV STATE UNIVERSITY   (Russian Federation)

Author keywords

Automated detection methods; ECoG; GAERS; Genetic absence models; Mice; Network synchronization; Precursor activity; Stimulation; Time frequency analyses; WAG Rij; Wavelet transform

Indexed keywords

AUTOMATION; BRAIN DEPTH STIMULATION; EPILEPTIC DISCHARGE; FREQUENCY ANALYSIS; GENETIC MODEL; HUMAN; NONHUMAN; ONLINE ANALYSIS; PREDICTION; PRIORITY JOURNAL; RANDOMIZED CONTROLLED TRIAL (TOPIC); REVIEW; SEIZURE; SPIKE WAVE; WAVELET ANALYSIS; ANIMAL; DISEASE MODEL; ELECTROENCEPHALOGRAPHY; ELECTROTHERAPY; EPILEPSY, ABSENCE; NERVE CELL NETWORK; PATHOPHYSIOLOGY; PHYSIOLOGY; PROCEDURES; RAT; SOMATOSENSORY CORTEX; TRANSGENIC RAT;

ANIMALS; DISEASE MODELS, ANIMAL; ELECTRIC STIMULATION THERAPY; ELECTROENCEPHALOGRAPHY; EPILEPSY, ABSENCE; NERVE NET; RATS; RATS, TRANSGENIC; SOMATOSENSORY CORTEX;

EID: 84957433571     PISSN: 01650270     EISSN: 1872678X     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2015.07.010     Document Type: Review

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