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

Authors :
Ming Li
Lihua He
Zhuo Zhang
Zhen Li
Xuan Zhu
Chong Jiao
Dewen Hu
Source :
Frontiers in Computational Neuroscience, Vol 17 (2023)
Publication Year :
2023
Publisher :
Frontiers Media S.A., 2023.

Abstract

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.

Details

Language :
English
ISSN :
16625188
Volume :
17
Database :
Directory of Open Access Journals
Journal :
Frontiers in Computational Neuroscience
Publication Type :
Academic Journal
Accession number :
edsdoj.2af8e3d4e1f345daa3c8d7bec2dc42cf
Document Type :
article
Full Text :
https://doi.org/10.3389/fncom.2023.1214793