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Protocol to record and quantify absence seizures in rats using EEG arrays
Ingrid Buller-Peralta1, Lucy Pritchard1, Danai Katsanevaki1
1Simons Initiative for the Developing Brain, Institute for Neuroscience and Cardiovascular Research, University of Edinburgh, Edinburgh EH8 9XD, UK.
STAR Protocols
|November 1, 2025
Summary
This study details a new protocol for implanting electroencephalogram (EEG) arrays in rats to record absence seizure-like events. The method allows for multi-day brain monitoring to study epilepsy and seizure dynamics in rodents.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Epilepsy Research
Background:
- Epilepsy research in rodents requires precise electrophysiological monitoring.
- Absence seizures are a significant area of study in epilepsy.
- Existing methods may have limitations in long-term, brain-wide monitoring.
Purpose of the Study:
- To present a detailed protocol for implanting 32-channel NeuroNexus skull-surface electroencephalogram (EEG) arrays in rats.
- To describe the surgical implantation procedure and automated offline seizure detection.
- To enable comprehensive, multi-day electrophysiological monitoring for studying epilepsy and seizure dynamics.
Main Methods:
- Surgical implantation of 32-channel NeuroNexus EEG arrays on the skull surface of rats.
- Recording electroencephalogram (EEG) data using Open Ephys system.
- Automated offline detection algorithms for identifying seizure-like events.
Main Results:
- Successful implantation of EEG arrays allowing for recording of absence seizure-like events.
- Demonstration of automated offline detection of seizures from recorded EEG data.
- Establishment of a method for brain-wide, multi-day electrophysiological monitoring in rodents.
Conclusions:
- The presented protocol provides a reliable method for long-term electrophysiological monitoring in rats.
- This approach facilitates the study of epilepsy and seizure dynamics with high spatiotemporal resolution.
- The protocol is valuable for advancing research into rodent models of absence epilepsy.
Keywords:
BehaviorBioinformaticsBiophysicsBiotechnology and bioengineeringModel OrganismsNeuroscience
