A New Way To Measure Beta Brain Bursts
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Neural oscillations – also known as brainwaves – are important carriers of information in the brain. Researchers are increasingly coming to view them less as sustained oscillations and more as transient bursts. Until now, there has been no method for measuring such short-lived bursts in real time or for examining how they influence the behavior of living things.
In cooperation with her working group, Prof. Dr. Ilka Diester of the University of Freiburg's Institute of Biology III and excellence cluster BrainLinks-BrainTools has developed a new method for analyzing data in the brain. They are using their method to detect short beta wave bursts in real time within neural frequency bands of around 20 Hertz and to show how rats can increase the occurrence of these bursts.
In humans, monkeys, and rodents, it is possible to detect short bursts of up to 150 milliseconds of beta waves – a specific section of the brainwave spectrum – within a frequency range of 15 hertz to 30 hertz. Researchers up to now connected these events with memory, motion, and perception. During what is known as neuro-feedback training, rats always receive a reward when their brain produces a burst in the beta frequency range. This increases not only the recurrence of beta frequency bursts, but the total amplitude of this frequency range as well.
Through their work, Diester and her team have been able to predict beta range bursts in rats based on the rats movements – particularly in the front half of the rats' bodies. This new method paves the way for investigating the role of beta bursts in specific behaviors. Because beta frequencies play a significant role in motion control, the method also opens new approaches in neuroprosthetics – the development and application of electronic implants for the restoration of damaged nerve function.
Reference
Karvat et al. (2020) Real-time detection of neural oscillation bursts allows behaviourally relevant neurofeedback. Communications Biology. DOI: https://doi.org/10.1038/s42003-020-0801-z
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