↓ Skip to main content

Isolating Discriminant Neural Activity in the Presence of Eye Movements and Concurrent Task Demands

Overview of attention for article published in Frontiers in Human Neuroscience, July 2017
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users
googleplus
1 Google+ user
reddit
1 Redditor

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
35 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Isolating Discriminant Neural Activity in the Presence of Eye Movements and Concurrent Task Demands
Published in
Frontiers in Human Neuroscience, July 2017
DOI 10.3389/fnhum.2017.00357
Pubmed ID
Authors

Jon Touryan, Vernon J. Lawhern, Patrick M. Connolly, Nima Bigdely-Shamlo, Anthony J. Ries

Abstract

A growing number of studies use the combination of eye-tracking and electroencephalographic (EEG) measures to explore the neural processes that underlie visual perception. In these studies, fixation-related potentials (FRPs) are commonly used to quantify early and late stages of visual processing that follow the onset of each fixation. However, FRPs reflect a mixture of bottom-up (sensory-driven) and top-down (goal-directed) processes, in addition to eye movement artifacts and unrelated neural activity. At present there is little consensus on how to separate this evoked response into its constituent elements. In this study we sought to isolate the neural sources of target detection in the presence of eye movements and over a range of concurrent task demands. Here, participants were asked to identify visual targets (Ts) amongst a grid of distractor stimuli (Ls), while simultaneously performing an auditory N-back task. To identify the discriminant activity, we used independent components analysis (ICA) for the separation of EEG into neural and non-neural sources. We then further separated the neural sources, using a modified measure-projection approach, into six regions of interest (ROIs): occipital, fusiform, temporal, parietal, cingulate, and frontal cortices. Using activity from these ROIs, we identified target from non-target fixations in all participants at a level similar to other state-of-the-art classification techniques. Importantly, we isolated the time course and spectral features of this discriminant activity in each ROI. In addition, we were able to quantify the effect of cognitive load on both fixation-locked potential and classification performance across regions. Together, our results show the utility of a measure-projection approach for separating task-relevant neural activity into meaningful ROIs within more complex contexts that include eye movements.

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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 17%
Researcher 5 14%
Student > Master 4 11%
Student > Postgraduate 2 6%
Student > Doctoral Student 2 6%
Other 4 11%
Unknown 12 34%
Readers by discipline Count As %
Neuroscience 8 23%
Engineering 6 17%
Psychology 2 6%
Arts and Humanities 2 6%
Medicine and Dentistry 2 6%
Other 1 3%
Unknown 14 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 19 June 2021.
All research outputs
#13,043,899
of 22,981,247 outputs
Outputs from Frontiers in Human Neuroscience
#3,680
of 7,182 outputs
Outputs of similar age
#149,295
of 312,987 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#102
of 155 outputs
Altmetric has tracked 22,981,247 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,182 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 312,987 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 51% of its contemporaries.
We're also able to compare this research output to 155 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.