Literature DB >> 8862837

Excitation and inhibition in epilepsy.

J Engel1.   

Abstract

The term epileptic seizures is used to describe a variety of paroxysmal signs and symptoms resulting from a large number of underlying pathological processes. Generalized tonicclonic convulsions, therefore, reflect entirely different basic neuronal mechanisms than those of typical absences. Animal research suggests that the former result from disturbances that involve disinhibition, whereas the abnormality giving rise to the latter requires intact, if not enhanced, inhibition in order to sustain hypersynchronous neuronal discharges. Investigations in human mesial temporal lobe epilepsy and chronic experimental animal models indicate that partial seizures can also reflect multiple underlying mechanisms, with some disinhibitory in type, while others appear to be hypersynchronous and associated with enhanced inhibition. Just as more than one epileptogenic disturbance can result in transition to ictus, it is likely that more than one mechanism can be engaged to terminate epileptic seizures, that these diverse processes could result in different postictal manifestations, and that they could conceivably contribute differently to the development of interictal behavioral disturbances. An appreciation for the fact that epilepsy is not merely an increase in excitation and/or a decrease in inhibition, but a variety of complicated neuronal interactions in different patients, or even at different times in the same patient or same seizure, is essential to the development of effective treatments to control epileptic seizures and prevent their consequences.

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Year:  1996        PMID: 8862837     DOI: 10.1017/s0317167100038464

Source DB:  PubMed          Journal:  Can J Neurol Sci        ISSN: 0317-1671            Impact factor:   2.104


  22 in total

1.  Interneurons spark seizure-like activity in the entorhinal cortex.

Authors:  Maxime Lévesque; Rochelle Herrington; Shabnam Hamidi; Massimo Avoli
Journal:  Neurobiol Dis       Date:  2015-12-22       Impact factor: 5.996

2.  Why we need more synaptogenic cell-adhesion proteins.

Authors:  Nils Brose
Journal:  Proc Natl Acad Sci U S A       Date:  2013-02-20       Impact factor: 11.205

3.  Perampanel reduces paroxysmal depolarizing shift and inhibitory synaptic input in excitatory neurons to inhibit epileptic network oscillations.

Authors:  Ya-Chin Yang; Guan-Hsun Wang; Ai-Yu Chuang; Shu-Wei Hsueh
Journal:  Br J Pharmacol       Date:  2020-09-28       Impact factor: 8.739

4.  Altered expression and function of small-conductance (SK) Ca(2+)-activated K+ channels in pilocarpine-treated epileptic rats.

Authors:  Mauro S Oliveira; Frank Skinner; Massoud F Arshadmansab; Ileana Garcia; Carlos F Mello; Hans-Günther Knaus; Boris S Ermolinsky; Luis F Pacheco Otalora; Emilio R Garrido-Sanabria
Journal:  Brain Res       Date:  2010-06-08       Impact factor: 3.252

Review 5.  Alternating and postictal psychoses: review and a unifying hypothesis.

Authors:  Perminder S Sachdev
Journal:  Schizophr Bull       Date:  2007-03-03       Impact factor: 9.306

Review 6.  Progress in neuroprotective strategies for preventing epilepsy.

Authors:  Munjal M Acharya; Bharathi Hattiangady; Ashok K Shetty
Journal:  Prog Neurobiol       Date:  2007-12-08       Impact factor: 11.685

7.  Evoked motor response thresholds during transcranial magnetic stimulation in patients with symptomatic partial epilepsy.

Authors:  O V Kotova; O V Vorob'eva
Journal:  Neurosci Behav Physiol       Date:  2007-11

Review 8.  Toward rational design of electrical stimulation strategies for epilepsy control.

Authors:  Sridhar Sunderam; Bruce Gluckman; Davide Reato; Marom Bikson
Journal:  Epilepsy Behav       Date:  2009-11-17       Impact factor: 2.937

9.  Thalamic modulation of cingulate seizure activity via the regulation of gap junctions in mice thalamocingulate slice.

Authors:  Wei-Pang Chang; José Jiun-Shian Wu; Bai-Chuang Shyu
Journal:  PLoS One       Date:  2013-05-14       Impact factor: 3.240

10.  Comparison of frequency bands using spectral entropy for epileptic seizure prediction.

Authors:  Susana Blanco; Arturo Garay; Diego Coulombie
Journal:  ISRN Neurol       Date:  2013-05-25
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