Literature DB >> 26041140

Simultaneous EEG-fMRI: evaluating the effect of the cabling configuration on the gradient artefact.

M E H Chowdhury1, Karen J Mullinger, Richard Bowtell.   

Abstract

EEG recordings made in combined EEG-fMRI studies are corrupted by gradient artefacts (GAs) resulting from the interaction of the EEG system with the time-varying magnetic field gradients used in MRI. The dominant contribution to the GA arises from interaction with the leads of the EEG cap and the human head, but artefacts are also produced in the cables used to connect the EEG cap to the amplifier. The aim of this study is to measure the effects of the connecting cable configuration on the characteristics of the GA. We measured the GA produced on two different cable configurations (a ribbon cable and a cable consisting of wires that are twisted together to form a cylindrical bundle) by gradient pulses applied on three orthogonal axes and also characterized the effect of each cable configuration on the GA generated by a multi-slice echo planar imaging sequence, as employed in typical EEG-fMRI studies. The results demonstrate that the cabling that connects the EEG cap to the amplifier can make a significant contribution to the GA recorded during EEG-fMRI studies. In particular, we demonstrate that the GA generated by a ribbon cable is larger than that produced using a twisted cable arrangement and that changes in the GA resulting from variation in the cable position are also greater for the ribbon cable.

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Year:  2015        PMID: 26041140     DOI: 10.1088/0031-9155/60/12/N241

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  4 in total

1.  Investigating the effect of modifying the EEG cap lead configuration on the gradient artifact in simultaneous EEG-fMRI.

Authors:  Karen J Mullinger; Muhammad E H Chowdhury; Richard Bowtell
Journal:  Front Neurosci       Date:  2014-07-29       Impact factor: 4.677

2.  Human electrocortical dynamics while stepping over obstacles.

Authors:  Andrew D Nordin; W David Hairston; Daniel P Ferris
Journal:  Sci Rep       Date:  2019-03-18       Impact factor: 4.379

3.  Exploring the relative efficacy of motion artefact correction techniques for EEG data acquired during simultaneous fMRI.

Authors:  Alexander J Daniel; James A Smith; Glyn S Spencer; João Jorge; Richard Bowtell; Karen J Mullinger
Journal:  Hum Brain Mapp       Date:  2018-10-19       Impact factor: 5.038

Review 4.  Simultaneous EEG-fMRI: What Have We Learned and What Does the Future Hold?

Authors:  Tracy Warbrick
Journal:  Sensors (Basel)       Date:  2022-03-15       Impact factor: 3.576

  4 in total

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