↓ Skip to main content

Oscillatory characteristics of the visual mismatch negativity: what evoked potentials aren't telling us

Overview of attention for article published in Frontiers in Human Neuroscience, January 2013
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
82 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
Oscillatory characteristics of the visual mismatch negativity: what evoked potentials aren't telling us
Published in
Frontiers in Human Neuroscience, January 2013
DOI 10.3389/fnhum.2013.00426
Pubmed ID
Authors

George Stothart, Nina Kazanina

Abstract

The visual mismatch negativity (vMMN) response is typically examined by subtracting the average response to a deviant stimulus from the response to the standard. This approach, however, can omit a critical element of the neural response, i.e., the non-phase-locked ("induced") oscillatory activity. Recent investigations of the oscillatory characteristics of the auditory mismatch negativity (aMMN) identified a crucial role for theta phase locking and power. Oscillatory characteristics of the vMMN from 39 healthy young adults were investigated in order to establish whether theta phase locking plays a similar role in the vMMN response. We explored changes in phase locking, overall post-stimulus spectral power as well as non-phase-locked spectral power compared to baseline (-300 to 0 ms). These were calculated in the frequency range of 4-50 Hz and analysed using a non-parametric cluster based analysis. vMMN was found intermittently in a broad time interval 133-584 ms post-stimulus and was associated with an early increase in theta phase locking (75-175 ms post-stimulus) that was not accompanied by an increase in theta power. Theta phase locking in the absence of an increase in theta power has been associated with the distribution and flow of information between spatially disparate neural locations. Additionally, in the 450-600 ms post-stimulus interval, deviant stimuli yielded a stronger decrease in non-phase-locked alpha power than standard stimuli, potentially reflecting a shift in attentional resources following the detection of change. The examination of oscillatory activity is crucial to the comprehensive analysis of a neural response to a stimulus, and when combined with evoked potentials (EPs) provide a more complete picture of neurocognitive processing.

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Hungary 1 1%
Netherlands 1 1%
Australia 1 1%
France 1 1%
Russia 1 1%
United Kingdom 1 1%
Unknown 74 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 37%
Researcher 16 20%
Student > Master 12 15%
Student > Bachelor 5 6%
Student > Postgraduate 3 4%
Other 6 7%
Unknown 10 12%
Readers by discipline Count As %
Psychology 28 34%
Neuroscience 18 22%
Engineering 7 9%
Agricultural and Biological Sciences 6 7%
Medicine and Dentistry 4 5%
Other 7 9%
Unknown 12 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 06 August 2013.
All research outputs
#15,909,539
of 25,182,110 outputs
Outputs from Frontiers in Human Neuroscience
#4,818
of 7,638 outputs
Outputs of similar age
#181,831
of 293,942 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#605
of 860 outputs
Altmetric has tracked 25,182,110 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,638 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one is in the 33rd percentile – i.e., 33% 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 293,942 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 860 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.