Frontiers in Computational Neuroscience (Jul 2023)

The decoupling between hemodynamic parameters and neural activity implies a complex origin of spontaneous brain oscillations

  • Ming Li,
  • Lihua He,
  • Zhuo Zhang,
  • Zhen Li,
  • Xuan Zhu,
  • Chong Jiao,
  • Dewen Hu

DOI
https://doi.org/10.3389/fncom.2023.1214793
Journal volume & issue
Vol. 17

Abstract

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IntroductionSpontaneous low-frequency oscillations play a key role in brain activity. However, the underlying mechanism and origin of low-frequency oscillations remain under debate.MethodsOptical imaging and an electrophysiological recording system were combined to investigate spontaneous oscillations in the hemodynamic parameters and neuronal activity of awake and anesthetized mice after Nω-nitro-L-arginine methyl ester (L-NAME) administration.ResultsThe spectrum of local field potential (LFP) signals was significantly changed by L-NAME, which was further corroborated by the increase in energy and spatial synchronization. The important finding was that L-NAME triggered regular oscillations in both LFP signals and hemodynamic signals. Notably, the frequency peak of hemodynamic signals can be different from that of LFP oscillations in awake mice.DiscussionA model of the neurovascular system was proposed to interpret this mismatch of peak frequencies, supporting the view that spontaneous low-frequency oscillations arise from multiple sources.

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