Optophysiology - Optogenetics and Neurophysiology, Albert-Ludwigs-University, Albertstrasse 23, 79104, Freiburg, Germany.
Bernstein Center for Computational Neuroscience, Albert-Ludwigs-University, Hansastr. 9, 79104, Freiburg, Germany.
Commun Biol. 2020 Feb 14;3(1):72. doi: 10.1038/s42003-020-0801-z.
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.
神经振荡作为大脑中重要的信息载体，越来越多地被解释为短暂的爆发，而不是持续的振荡。在人类、猴子和老鼠中已经记录到了短（<150ms）的β波爆发（15-30Hz）。这些事件与记忆、运动和感知相关联，甚至被认为是所有β频带活动的主要成分。然而，目前还没有一种方法可以实时测量这些短暂的事件，并研究它们对行为的影响。在这里，我们提出了一种实时数据分析系统，能够检测到短暂的窄带爆发，并证明其在提高大鼠β频带爆发率方面的有用性。这种神经反馈训练诱导了整体振荡功率的变化，并且可以从大鼠的运动中解码爆发，从而能够进一步研究振荡爆发的作用。
