Literature DB >> 22161695

Influence of dense-array EEG cap on fMRI signal.

Qingfei Luo1, Gary H Glover.   

Abstract

Dense-array (>64 channel) electroencephalography (EEG) systems are increasingly being used in simultaneous EEG-functional magnetic resonance imaging (fMRI) studies. However, with increasing channel count, dense-array EEG caps can induce more severe signal dropout in the MRI images than conventional systems due to the radiofrequency shielding effect of the denser wire bundle. This study investigates the influence of a 256-channel EEG cap on MRI image quality and detection sensitivity of blood oxygen level dependent fMRI signal. A theoretical model is first established to describe the impact of the EEG cap on anatomic signal, noise, signal-to-noise ratio, and contrast-to-noise ratio of blood oxygen level dependent signal. Seven subjects were scanned to measure and compare the T(2)-weighted image quality and fMRI detection sensitivity with and without the EEG cap using an auditory/visual/sensorimotor task. The results show that the dense-array EEG cap can substantially reduce the anatomic signal in the brain areas (visual cortex) near the conducting wires (average percent decrease ≈ 38%). However, the image signal-to-noise ratio with and without the EEG cap was comparable (percent decrease < 8%, not statistically significant), and there was no statistically significant difference in the extent of blood oxygen level dependent activation. This suggests that the ability to detect fMRI signal is nearly unaffected by dense-array EEG caps in simultaneous EEG-fMRI experiments.
Copyright © 2011 Wiley Periodicals, Inc.

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Year:  2011        PMID: 22161695      PMCID: PMC3309174          DOI: 10.1002/mrm.23299

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  22 in total

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6.  Physiological noise in oxygenation-sensitive magnetic resonance imaging.

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8.  Improved assessment of significant activation in functional magnetic resonance imaging (fMRI): use of a cluster-size threshold.

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  13 in total

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4.  Presurgical brain mapping in epilepsy using simultaneous EEG and functional MRI at ultra-high field: feasibility and first results.

Authors:  Frédéric Grouiller; João Jorge; Francesca Pittau; Wietske van der Zwaag; Giannina Rita Iannotti; Christoph Martin Michel; Serge Vulliémoz; Maria Isabel Vargas; François Lazeyras
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5.  Sleep reverts changes in human gray and white matter caused by wake-dependent training.

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6.  Online Reduction of Artifacts in EEG of Simultaneous EEG-fMRI Using Reference Layer Adaptive Filtering (RLAF).

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Review 7.  EEG-Informed fMRI: A Review of Data Analysis Methods.

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Review 8.  When Is Simultaneous Recording Necessary? A Guide for Researchers Considering Combined EEG-fMRI.

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Journal:  Front Neurosci       Date:  2021-06-29       Impact factor: 4.677

9.  Safety and data quality of EEG recorded simultaneously with multi-band fMRI.

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10.  NODDI and Tensor-Based Microstructural Indices as Predictors of Functional Connectivity.

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