Publikation: Spurious correlations in simultaneous EEG-fMRI driven by in-scanner movement
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Simultaneous EEG-fMRI provides an increasingly attractive research tool to investigate cognitive processes with high temporal and spatial resolution. However, artifacts in EEG data introduced by the MR scanner still remain a major obstacle. This study, employing commonly used artifact correction steps, shows that head motion, one overlooked major source of artifacts in EEG-fMRI data, can cause plausible EEG effects and EEG-BOLD correlations. Specifically, low-frequency EEG (<20Hz) is strongly correlated with in-scanner movement. Accordingly, minor head motion (<0.2mm) induces spurious effects in a twofold manner: Small differences in task-correlated motion elicit spurious low-frequency effects, and, as motion concurrently influences fMRI data, EEG-BOLD correlations closely match motion-fMRI correlations. We demonstrate these effects in a memory encoding experiment showing that obtained theta power (~3-7Hz) effects and channel-level theta-BOLD correlations reflect motion in the scanner. These findings highlight an important caveat that needs to be addressed by future EEG-fMRI studies.
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FELLNER, Marie-Christin, Gregor VOLBERG, Karen J. MULLINGER, Markus GOLDHACKER, Maria WIMBER, Mark W. GREENLEE, Simon HANSLMAYR, 2016. Spurious correlations in simultaneous EEG-fMRI driven by in-scanner movement. In: NeuroImage. 2016, 133, pp. 354-366. ISSN 1053-8119. eISSN 1095-9572. Available under: doi: 10.1016/j.neuroimage.2016.03.031BibTex
@article{Fellner2016-06Spuri-39790,
year={2016},
doi={10.1016/j.neuroimage.2016.03.031},
title={Spurious correlations in simultaneous EEG-fMRI driven by in-scanner movement},
volume={133},
issn={1053-8119},
journal={NeuroImage},
pages={354--366},
author={Fellner, Marie-Christin and Volberg, Gregor and Mullinger, Karen J. and Goldhacker, Markus and Wimber, Maria and Greenlee, Mark W. and Hanslmayr, Simon}
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<dcterms:abstract xml:lang="eng">Simultaneous EEG-fMRI provides an increasingly attractive research tool to investigate cognitive processes with high temporal and spatial resolution. However, artifacts in EEG data introduced by the MR scanner still remain a major obstacle. This study, employing commonly used artifact correction steps, shows that head motion, one overlooked major source of artifacts in EEG-fMRI data, can cause plausible EEG effects and EEG-BOLD correlations. Specifically, low-frequency EEG (<20Hz) is strongly correlated with in-scanner movement. Accordingly, minor head motion (<0.2mm) induces spurious effects in a twofold manner: Small differences in task-correlated motion elicit spurious low-frequency effects, and, as motion concurrently influences fMRI data, EEG-BOLD correlations closely match motion-fMRI correlations. We demonstrate these effects in a memory encoding experiment showing that obtained theta power (~3-7Hz) effects and channel-level theta-BOLD correlations reflect motion in the scanner. These findings highlight an important caveat that needs to be addressed by future EEG-fMRI studies.</dcterms:abstract>
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