
A simple, automated method of seizure detection in mouse models of temporal lobe epilepsy.
The lack of preventive and disease modifying therapies for temporal lobe epilepsy (TLE) is a major unmet medical need. Search for such therapies utilize mouse models and require detection of seizures in electroencephalography (EEG) recordings. The labor-intensive nature of reviewing EEGs spanning many weeks underscores the need for a method of automated detection. Here we report a simple automated method of detecting seizures in long term EEG recordings from electrodes implanted in the hippocampus in animal models of TLE. We utilize a 2-pronged approach that relies on the increase in power within the gamma band range (20-50hz) during the seizure followed by suppression of activity following the seizure (post-ictal suppression [PIS]). We demonstrate the utility of this method for detecting seizures in hippocampal and amygdala EEG recordings from multiple models of TLE.
Duke Scholars
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Related Subject Headings
- Seizures
- Neurology & Neurosurgery
- Mice
- Hippocampus
- Epilepsy, Temporal Lobe
- Electroencephalography
- Disease Models, Animal
- Animals
- Amygdala
- 5203 Clinical and health psychology
Citation

Published In
DOI
EISSN
Publication Date
Volume
Start / End Page
Location
Related Subject Headings
- Seizures
- Neurology & Neurosurgery
- Mice
- Hippocampus
- Epilepsy, Temporal Lobe
- Electroencephalography
- Disease Models, Animal
- Animals
- Amygdala
- 5203 Clinical and health psychology