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Event-Related Potential Responses to Task Switching Are Sensitive to Choice of Spatial Filter

Overview of attention for article published in Frontiers in Neuroscience, March 2018
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  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

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3 X users
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Title
Event-Related Potential Responses to Task Switching Are Sensitive to Choice of Spatial Filter
Published in
Frontiers in Neuroscience, March 2018
DOI 10.3389/fnins.2018.00143
Pubmed ID
Authors

Aaron S. W. Wong, Patrick S. Cooper, Alexander C. Conley, Montana McKewen, W. Ross Fulham, Patricia T. Michie, Frini Karayanidis

Abstract

Event-related potential (ERP) studies using the task-switching paradigm show that multiple ERP components are modulated by activation of proactive control processes involved in preparing to repeat or switch task and reactive control processes involved in implementation of the current or new task. Our understanding of the functional significance of these ERP components has been hampered by variability in their robustness, as well as their temporal and scalp distribution across studies. The aim of this study is to examine the effect of choice of reference electrode or spatial filter on the number, timing and scalp distribution of ERP elicited during task-switching. We compared four configurations, including the two most common (i.e., average mastoid reference and common average reference) and two novel ones that aim to reduce volume conduction (i.e., reference electrode standardization technique (REST) and surface Laplacian) on mixing cost and switch cost effects in cue-locked and target-locked ERP waveforms in 201 healthy participants. All four spatial filters showed the same well-characterized ERP components that are typically seen in task-switching paradigms: the cue-locked switch positivity and target-locked N2/P3 effect. However, both the number of ERP effects associated with mixing and switch cost, and their temporal and spatial resolution were greater with the surface Laplacian transformation which revealed rapid temporal adjustments that were not identifiable with other spatial filters. We conclude that the surface Laplacian transformation may be more suited to characterize EEG signatures of complex spatiotemporal networks involved in cognitive control.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 22%
Student > Master 7 19%
Student > Ph. D. Student 5 14%
Student > Doctoral Student 3 8%
Professor 2 5%
Other 3 8%
Unknown 9 24%
Readers by discipline Count As %
Neuroscience 11 30%
Psychology 11 30%
Engineering 2 5%
Business, Management and Accounting 1 3%
Medicine and Dentistry 1 3%
Other 1 3%
Unknown 10 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 October 2018.
All research outputs
#7,071,513
of 25,782,917 outputs
Outputs from Frontiers in Neuroscience
#4,559
of 11,707 outputs
Outputs of similar age
#115,281
of 349,671 outputs
Outputs of similar age from Frontiers in Neuroscience
#104
of 251 outputs
Altmetric has tracked 25,782,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 11,707 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 60% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 349,671 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 251 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.