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Using brain potentials to understand prism adaptation: the error-related negativity and the P300

Overview of attention for article published in Frontiers in Human Neuroscience, June 2015
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Title
Using brain potentials to understand prism adaptation: the error-related negativity and the P300
Published in
Frontiers in Human Neuroscience, June 2015
DOI 10.3389/fnhum.2015.00335
Pubmed ID
Authors

Stephane J. MacLean, Cameron D. Hassall, Yoko Ishigami, Olav E. Krigolson, Gail A. Eskes

Abstract

Prism adaptation (PA) is both a perceptual-motor learning task as well as a promising rehabilitation tool for visuo-spatial neglect (VSN)-a spatial attention disorder often experienced after stroke resulting in slowed and/or inaccurate motor responses to contralesional targets. During PA, individuals are exposed to prism-induced shifts of the visual-field while performing a visuo-guided reaching task. After adaptation, with goggles removed, visuomotor responding is shifted to the opposite direction of that initially induced by the prisms. This visuomotor aftereffect has been used to study visuomotor learning and adaptation and has been applied clinically to reduce VSN severity by improving motor responding to stimuli in contralesional (usually left-sided) space. In order to optimize PA's use for VSN patients, it is important to elucidate the neural and cognitive processes that alter visuomotor function during PA. In the present study, healthy young adults underwent PA while event-related potentials (ERPs) were recorded at the termination of each reach (screen-touch), then binned according to accuracy (hit vs. miss) and phase of exposure block (early, middle, late). Results show that two ERP components were evoked by screen-touch: an error-related negativity (ERN), and a P300. The ERN was consistently evoked on miss trials during adaptation, while the P300 amplitude was largest during the early phase of adaptation for both hit and miss trials. This study provides evidence of two neural signals sensitive to visual feedback during PA that may sub-serve changes in visuomotor responding. Prior ERP research suggests that the ERN reflects an error processing system in medial-frontal cortex, while the P300 is suggested to reflect a system for context updating and learning. Future research is needed to elucidate the role of these ERP components in improving visuomotor responses among individuals with VSN.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Canada 1 <1%
Unknown 124 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 20%
Student > Bachelor 24 19%
Student > Master 18 14%
Researcher 17 13%
Student > Doctoral Student 5 4%
Other 10 8%
Unknown 28 22%
Readers by discipline Count As %
Psychology 31 24%
Neuroscience 17 13%
Medicine and Dentistry 13 10%
Nursing and Health Professions 10 8%
Sports and Recreations 8 6%
Other 14 11%
Unknown 34 27%
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 07 July 2015.
All research outputs
#13,944,553
of 22,807,037 outputs
Outputs from Frontiers in Human Neuroscience
#4,302
of 7,147 outputs
Outputs of similar age
#131,960
of 264,952 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#111
of 188 outputs
Altmetric has tracked 22,807,037 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,147 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 36th percentile – i.e., 36% 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 264,952 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 188 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.