Literature DB >> 19828296

Thalamo-cortical mechanisms of sleep spindles and spike-wave discharges in rat model of absence epilepsy (a review).

Evgenia Sitnikova1.   

Abstract

According to the most generally accepted cortico-reticular theory of absence epilepsy, sleep spindles and spike-wave discharges (SWD, characteristic hallmarks of absence epilepsy) are closely related. The present review critically evaluates this theory based on the original data obtained in WAG/Rij rat model of absence epilepsy. It is demonstrated that (1) sleep spindles and spike-wave discharges are distinguished in time-frequency domain. (2) EEG waveforms of sleep spindles and SWD are underlain by different synaptic processes, as determined with the aid of computational neuronal model of cortical field potentials. (3) Sleep spindles do not precede SWD. EEG analysis of SWD-precursor activity provides us with a clue to possible prediction of absence epilepsy episodes. Furthermore, by studying Granger causality and EEG coherence at the onset of SWD we gain more insight into the dynamics of the thalamo-cortical neuronal network associations that underlie occurrence of absence seizures. In general, spindle activity and SWD display different time-frequency characteristics as measured in cortex and thalamus, they are accompanied by different neuronal processes and require different involvement of neurotransmitters. Sleep spindles and SWD are considered as autonomous EEG phenomena, and straightforward relationship between them is doubtful. Copyright 2009 Elsevier B.V. All rights reserved.

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Year:  2009        PMID: 19828296     DOI: 10.1016/j.eplepsyres.2009.09.005

Source DB:  PubMed          Journal:  Epilepsy Res        ISSN: 0920-1211            Impact factor:   3.045


  11 in total

Review 1.  Ion channels as drug targets in central nervous system disorders.

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2.  Impact of strain, sex, and estrous cycle on gamma butyrolactone-evoked absence seizures in rats.

Authors:  Victor R Santos; Ihori Kobayashi; Robert Hammack; Gregory Danko; Patrick A Forcelli
Journal:  Epilepsy Res       Date:  2018-09-18       Impact factor: 3.045

Review 3.  Dysfunction of hippocampal interneurons in epilepsy.

Authors:  Yu-Qiang Liu; Fang Yu; Wan-Hong Liu; Xiao-Hua He; Bi-Wen Peng
Journal:  Neurosci Bull       Date:  2014-11-05       Impact factor: 5.203

4.  Stimulus-induced transitions between spike-wave discharges and spindles with the modulation of thalamic reticular nucleus.

Authors:  Denggui Fan; Qingyun Wang; Jianzhong Su; Hongguang Xi
Journal:  J Comput Neurosci       Date:  2017-09-22       Impact factor: 1.621

5.  Increased Expression of Epileptiform Spike/Wave Discharges One Year after Mild, Moderate, or Severe Fluid Percussion Brain Injury in Rats.

Authors:  Thomas Sick; Joseph Wasserman; Amade Bregy; Justin Sick; W Dalton Dietrich; Helen M Bramlett
Journal:  J Neurotrauma       Date:  2017-06-14       Impact factor: 5.269

6.  Age-Dependent Increase of Absence Seizures and Intrinsic Frequency Dynamics of Sleep Spindles in Rats.

Authors:  Evgenia Sitnikova; Alexander E Hramov; Vadim Grubov; Alexey A Koronovsky
Journal:  Neurosci J       Date:  2014-06-23

7.  Combined Effects of Feedforward Inhibition and Excitation in Thalamocortical Circuit on the Transitions of Epileptic Seizures.

Authors:  Denggui Fan; Lixia Duan; Qian Wang; Guoming Luan
Journal:  Front Comput Neurosci       Date:  2017-07-07       Impact factor: 2.380

8.  Switchable slow cellular conductances determine robustness and tunability of network states.

Authors:  Guillaume Drion; Julie Dethier; Alessio Franci; Rodolphe Sepulchre
Journal:  PLoS Comput Biol       Date:  2018-04-23       Impact factor: 4.475

9.  Cross-subject network investigation of the EEG microstructure: A sleep spindles study.

Authors:  Dimitris F Sakellariou; Michalis Koutroumanidis; Mark P Richardson; George K Kostopoulos
Journal:  J Neurosci Methods       Date:  2018-11-05       Impact factor: 2.390

10.  EEG Transients in the Sigma Range During non-REM Sleep Predict Learning in Dogs.

Authors:  Ivaylo Borislavov Iotchev; Anna Kis; Róbert Bódizs; Gilles van Luijtelaar; Enikő Kubinyi
Journal:  Sci Rep       Date:  2017-10-11       Impact factor: 4.379

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