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A Comparative Study of Average, Linked Mastoid, and REST References for ERP Components Acquired during fMRI

Overview of attention for article published in Frontiers in Neuroscience, May 2017
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Title
A Comparative Study of Average, Linked Mastoid, and REST References for ERP Components Acquired during fMRI
Published in
Frontiers in Neuroscience, May 2017
DOI 10.3389/fnins.2017.00247
Pubmed ID
Authors

Ping Yang, Chenggui Fan, Min Wang, Ling Li

Abstract

In simultaneous electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI) studies, average reference (AR), and digitally linked mastoid (LM) are popular re-referencing techniques in event-related potential (ERP) analyses. However, they may introduce their own physiological signals and alter the EEG/ERP outcome. A reference electrode standardization technique (REST) that calculated a reference point at infinity was proposed to solve this problem. To confirm the advantage of REST in ERP analyses of synchronous EEG-fMRI studies, we compared the reference effect of AR, LM, and REST on task-related ERP results of a working memory task during an fMRI scan. As we hypothesized, we found that the adopted reference did not change the topography map of ERP components (N1 and P300 in the present study), but it did alter the task-related effect on ERP components. LM decreased or eliminated the visual working memory (VWM) load effect on P300, and the AR distorted the distribution of VWM location-related effect at left posterior electrodes as shown in the statistical parametric scalp mapping (SPSM) of N1. ERP cortical source estimates, which are independent of the EEG reference choice, were used as the golden standard to infer the relative utility of different references on the ERP task-related effect. By comparison, REST reference provided a more integrated and reasonable result. These results were further confirmed by the results of fMRI activations and a corresponding EEG-only study. Thus, we recommend the REST, especially with a realistic head model, as the optimal reference method for ERP data analysis in simultaneous EEG-fMRI studies.

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The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Unknown 47 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 23%
Student > Master 9 19%
Researcher 8 17%
Student > Doctoral Student 5 10%
Student > Bachelor 3 6%
Other 7 15%
Unknown 5 10%
Readers by discipline Count As %
Psychology 14 29%
Neuroscience 11 23%
Engineering 10 21%
Computer Science 1 2%
Economics, Econometrics and Finance 1 2%
Other 5 10%
Unknown 6 13%