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Development of ERN together with an internal model of audio-motor associations

Overview of attention for article published in Frontiers in Human Neuroscience, January 2013
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Title
Development of ERN together with an internal model of audio-motor associations
Published in
Frontiers in Human Neuroscience, January 2013
DOI 10.3389/fnhum.2013.00471
Pubmed ID
Authors

Kai Lutz, Roman Puorger, Marcus Cheetham, Lutz Jancke

Abstract

The brain's reactions to error are manifested in several event related potentials (ERP) components, derived from electroencephalographic (EEG) signals. Although these components have been known for decades, their interpretation is still controversial. A current hypothesis (first indicator hypothesis) claims that the first indication of an action being erroneous leads to a negative deflection of the EEG signal over frontal midline areas. In some cases this requires sensory feedback in the form of knowledge of results (KR). If KR is given, then the first negative deflection can be found around 250 ms after feedback presentation (feedback-related negativity, FRN). When KR is not required, a negative deflection is found already around 100 ms after action onset (ERN). This deflection may be evoked when a mismatch between required and actually executed actions is detected. To detect such a mismatch, however, necessitates knowledge about which action is required. To test this assumption, the current study monitored EEG error components during acquisition of an internal model, i.e., acquisition of the knowledge of which actions are needed to reach certain goals. Actions consisted of finger presses on a piano keyboard and goals were tones of a certain pitch to be generated, thus the internal model represented audio-motor mapping. Results show that with increasing proficiency in mapping goals to appropriate actions, the amplitude of the ERN increased, whereas the amplitude of the FRN remained unchanged. Thus, when knowledge is present about which action is required, this supports generation of an ERN around 100 ms, likely by detecting a mismatch between required and performed actions. This is in accordance with the first indicator hypothesis. The present study furthermore lends support to the notion that FRN mainly relies on comparison of sensory targets with sensory feedback.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 49 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 18%
Researcher 9 18%
Professor 5 10%
Student > Master 5 10%
Student > Bachelor 4 8%
Other 7 14%
Unknown 11 22%
Readers by discipline Count As %
Psychology 15 30%
Neuroscience 6 12%
Sports and Recreations 3 6%
Agricultural and Biological Sciences 3 6%
Computer Science 2 4%
Other 8 16%
Unknown 13 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 03 September 2013.
All research outputs
#20,200,843
of 22,719,618 outputs
Outputs from Frontiers in Human Neuroscience
#6,523
of 7,129 outputs
Outputs of similar age
#248,780
of 280,759 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#817
of 862 outputs
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