Measuring Circadian Rhythm in Animal Models
Researchers are using animal models from mouse to non-human primate to evaluate sleep disturbances throughout cancer progression and treatment. Sleep can be measured by physical activity correlated to resting periods. Identifying sleep duration is often used when studying circadian rhythm. Another way to measure sleep is by EEG that measures the electrical signals in the brain. In this way, the different stages during sleep can be identified. Sleep is determined by physiological changes in EEG together with the EMG (electromyogram – muscle movement) and EOG (electrooculogram - eye movement). Other variables including temperature, blood pressure and neuroendocrine function can be added to gain additional information about the circadian process.
The EEG recordings are classified into five frequency bands:
- Delta (0.5 to 4 Hz)
- Theta (4 to 8 Hz)
- Alpha (8 to 11.5 Hz)
- Beta1 (11.5 to 15 Hz) and Beta2 (15 to 35 Hz)
- Gamma (30-100+ Hz)
DSI Circadian Rhythm Technology
DSI telemetry is completely implantable and designed for acquiring physiologic data from conscious, freely moving laboratory animals, reducing animal stress and ensuring the most reliable data. Our circadian rhythm technology offers researchers the ability to monitor real-time EEG, EMG and EOG to study sleep in preclinical models, including mice, rats, rabbits, dogs, pigs, non-human primates, and other species.
DSI’s hardwired solutions provide a minimally invasive method to offer continuous measurement (EEG, EMG, EOG, etc.) during central nervous system studies with small animals. Hardwired solutions allow the use of a tether to monitor up to 12 EEG/EMG channels.
A setup would include use of electrodes, wires, and commutators. EEG and/or EMG signals from this tethered approach are brought into DSI’s Ponemah software platform by the use of digital signal conditioners/amplifiers.
Learn more about Signal Conditioners and accessory PODS from DSI.
The Power of Ponemah Software
Data collection and analysis for preclinical studies
CNS Data Analysis Software
The Power to Process More Data in Less Time
Circadian Rhythm and Sleep References Citing DSI Technology
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