Brief bursts, big insights

Summary: A new method for analyzing brain oscillation data can detect short beta wave bursts in real-time within neural frequency bands of 20 Hertz. The method also shows how rats can increase the occurrences of these bursts.

Source: University of Freiburg

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. The researchers have published their results in the scientific journal “Nature Communication Biology.”

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.

This shows the bursts
A representation of the neuronal oscillations during a pulse of beta waves. Image is credited to AG Diester.

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.

At the Institute of Biology III and BrainLinks-BrainTools, Diester leads a working group that is using optophysiology – or new types of optical tools – to investigate the functioning of neural circuitry. The researchers are probing the neural underpinnings of motor and cognitive control as well as interactions between the prefrontal and motor cortex, which are both parts of the cerebral cortex.

About this neuroscience research article

Source:
University of Freiburg
Media Contacts:
Dr. Ilka Diester – University of Freiburg
Image Source:
The image is credited to AG Diester.

Original Research: Open access
“Real-time detection of neural oscillation bursts allows behaviourally relevant neurofeedback”. Karvat, G., Schneider, A., Alyahyay, M., Steenbergen, F., Tangermann, M., & Diester, I.
Psychology of Addictive Behaviors doi:10.1038/s42003-020-0801-z.

Abstract

Real-time detection of neural oscillation bursts allows behaviourally relevant neurofeedback

Neural oscillations as important information carrier in the brain, are increasingly interpreted as transient bursts rather than as sustained oscillations. Short (<150 ms) bursts of beta-waves (15–30 Hz) have been documented in humans, monkeys and mice. These events were correlated with memory, movement and perception, and were even suggested as the primary ingredient of all beta-band activity. However, a method to measure these short-lived events in real-time and to investigate their impact on behaviour is missing. Here we present a real-time data analysis system, capable to detect short narrowband bursts, and demonstrate its usefulness to increase the beta-band burst-rate in rats. This neurofeedback training induced changes in overall oscillatory power, and bursts could be decoded from the movement of the rats, thus enabling future investigation of the role of oscillatory bursts.

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