↓ Skip to main content

Cell Signaling Underlying Epileptic Behavior

Overview of attention for article published in Frontiers in Behavioral Neuroscience, January 2011
Altmetric Badge

Readers on

mendeley
115 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Cell Signaling Underlying Epileptic Behavior
Published in
Frontiers in Behavioral Neuroscience, January 2011
DOI 10.3389/fnbeh.2011.00045
Pubmed ID
Authors

Yuri Bozzi, Mark Dunleavy, David C. Henshall

Abstract

Epilepsy is a complex disease, characterized by the repeated occurrence of bursts of electrical activity (seizures) in specific brain areas. The behavioral outcome of seizure events strongly depends on the brain regions that are affected by overactivity. Here we review the intracellular signaling pathways involved in the generation of seizures in epileptogenic areas. Pathways activated by modulatory neurotransmitters (dopamine, norepinephrine, and serotonin), involving the activation of extracellular-regulated kinases and the induction of immediate early genes (IEGs) will be first discussed in relation to the occurrence of acute seizure events. Activation of IEGs has been proposed to lead to long-term molecular and behavioral responses induced by acute seizures. We also review deleterious consequences of seizure activity, focusing on the contribution of apoptosis-associated signaling pathways to the progression of the disease. A deep understanding of signaling pathways involved in both acute- and long-term responses to seizures continues to be crucial to unravel the origins of epileptic behaviors and ultimately identify novel therapeutic targets for the cure of epilepsy.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
India 1 <1%
Unknown 113 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 22%
Researcher 22 19%
Student > Master 13 11%
Student > Bachelor 12 10%
Student > Postgraduate 8 7%
Other 15 13%
Unknown 20 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 32%
Neuroscience 20 17%
Biochemistry, Genetics and Molecular Biology 13 11%
Medicine and Dentistry 8 7%
Unspecified 5 4%
Other 8 7%
Unknown 24 21%