The Relationship Between Local Field Potentials and the Blood-Oxygenation-Level Dependent MRI Signal Can Be Non-linear

Functional magnetic resonance imaging (fMRI) is currently one of the most important neuroimaging methods in neuroscience. The image contrast in fMRI relies on the blood-oxygenation-level dependent (BOLD) signal, which indirectly reflects neural activity through neurovascular coupling. Because the me...

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Bibliographic Details
Published in:Frontiers in neuroscience 2019-10, Vol.13, p.1126-1126
Main Authors: Zhang, Xiaodi, Pan, Wen-Ju, Keilholz, Shella
Format: Article
Language:English
Subjects:
Anesthesia
Blood
BOLD
Electrophysiological recording
electrophysiology
fMRI
Functional magnetic resonance imaging
Hemodynamics
Isoflurane
local field potentials
Metabolism
Nervous system
Neuroimaging
Neuroscience
neurovascular coupling
NMR
non-linearity
Nonlinear systems
Nuclear magnetic resonance
Studies
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Summary:Functional magnetic resonance imaging (fMRI) is currently one of the most important neuroimaging methods in neuroscience. The image contrast in fMRI relies on the blood-oxygenation-level dependent (BOLD) signal, which indirectly reflects neural activity through neurovascular coupling. Because the mechanism that links the BOLD signal to neural activities involves multiple complicated processes, where neural activity, regional metabolism, hemodynamics, and the BOLD signal are all inter-connected, understanding the quantitative relationship between the BOLD signal and the underlying neural activities is crucial for interpreting fMRI data. Simultaneous local field potential (LFP) and fMRI recordings provide a method to study neurovascular coupling. There were a few studies that have shown non-linearities in stimulus related responses, but whether there is any non-linearity in LFP-BOLD relationship at rest has not been specifically quantified. In this study, we analyzed the simultaneous LFP and resting state-fMRI data acquired from rodents, and found that the relationship between LFP and BOLD is non-linear under isoflurane (ISO) anesthesia, but linear under dexmedetomidine (DMED) anesthesia. Subsequent analysis suggests that such non-linearity may come from the non-Gaussian distribution of LFP power and switching from LFP power to LFP amplitude can alleviate the problem to a degree. We also confirmed that, despite the non-linearity in the mean LFP-BOLD curve, the Pearson correlation between the two signals is relatively unaffected.
ISSN:1662-4548
1662-453X
1662-453X
DOI:10.3389/fnins.2019.01126