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Phase-amplitude Coupling and the BOLD Signal: A Simultaneous Intracranial EEG (icEEG) - FMRI Study in Humans Performing a Finger-tapping Task

Overview
Journal Neuroimage
Specialty Radiology
Date 2016 Aug 25
PMID 27554531
Citations 19
Authors
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Abstract

Although it has been consistently found that local blood-oxygen-level-dependent (BOLD) changes are better modelled by a combination of the power of multiple EEG frequency bands rather than by the power of a unique band alone, the local electro-haemodynamic coupling function is not yet fully characterised. Electrophysiological studies have revealed that the strength of the coupling between the phase of low- and the amplitude of high- frequency EEG activities (phase-amplitude coupling - PAC) has an important role in brain function in general, and in preparation and execution of movement in particular. Using electrocorticographic (ECoG) and functional magnetic resonance imaging (fMRI) data recorded simultaneously in humans performing a finger-tapping task, we investigated the single-trial relationship between the amplitude of the BOLD signal and the strength of PAC and the power of α, β, and γ bands, at a local level. In line with previous studies, we found a positive correlation for the γ band, and negative correlations for the PAC strength, and the α and β bands. More importantly, we found that the PAC strength explained variance of the amplitude of the BOLD signal that was not explained by a combination of the α, β, and γ band powers. Our main finding sheds further light on the distinct nature of PAC as a functionally relevant mechanism and suggests that the sensitivity of EEG-informed fMRI studies may increase by including the PAC strength in the BOLD signal model, in addition to the power of the low- and high- frequency EEG bands.

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References
1.
Schroeder C, Lakatos P . Low-frequency neuronal oscillations as instruments of sensory selection. Trends Neurosci. 2008; 32(1):9-18. PMC: 2990947. DOI: 10.1016/j.tins.2008.09.012. View

2.
Carmichael D, Thornton J, Rodionov R, Thornton R, McEvoy A, Ordidge R . Feasibility of simultaneous intracranial EEG-fMRI in humans: a safety study. Neuroimage. 2009; 49(1):379-90. DOI: 10.1016/j.neuroimage.2009.07.062. View

3.
Siero J, Hermes D, Hoogduin H, Luijten P, Petridou N, Ramsey N . BOLD consistently matches electrophysiology in human sensorimotor cortex at increasing movement rates: a combined 7T fMRI and ECoG study on neurovascular coupling. J Cereb Blood Flow Metab. 2013; 33(9):1448-56. PMC: 3764395. DOI: 10.1038/jcbfm.2013.97. View

4.
Crone N, Miglioretti D, Gordon B, Lesser R . Functional mapping of human sensorimotor cortex with electrocorticographic spectral analysis. II. Event-related synchronization in the gamma band. Brain. 1999; 121 ( Pt 12):2301-15. DOI: 10.1093/brain/121.12.2301. View

5.
Tort A, Kramer M, Thorn C, Gibson D, Kubota Y, Graybiel A . Dynamic cross-frequency couplings of local field potential oscillations in rat striatum and hippocampus during performance of a T-maze task. Proc Natl Acad Sci U S A. 2008; 105(51):20517-22. PMC: 2629291. DOI: 10.1073/pnas.0810524105. View