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Disruption of Boundary Encoding During Sensorimotor Sequence Learning: An MEG Study

Overview of attention for article published in Frontiers in Human Neuroscience, June 2018
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  • Above-average Attention Score compared to outputs of the same age (64th percentile)
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Title
Disruption of Boundary Encoding During Sensorimotor Sequence Learning: An MEG Study
Published in
Frontiers in Human Neuroscience, June 2018
DOI 10.3389/fnhum.2018.00240
Pubmed ID
Authors

Georgios Michail, Vadim V. Nikulin, Gabriel Curio, Burkhard Maess, María Herrojo Ruiz

Abstract

Music performance relies on the ability to learn and execute actions and their associated sounds. The process of learning these auditory-motor contingencies depends on the proper encoding of the serial order of the actions and sounds. Among the different serial positions of a behavioral sequence, the first and last (boundary) elements are particularly relevant. Animal and patient studies have demonstrated a specific neural representation for boundary elements in prefrontal cortical regions and in the basal ganglia, highlighting the relevance of their proper encoding. The neural mechanisms underlying the encoding of sequence boundaries in the general human population remain, however, largely unknown. In this study, we examined how alterations of auditory feedback, introduced at different ordinal positions (boundary or within-sequence element), affect the neural and behavioral responses during sensorimotor sequence learning. Analysing the neuromagnetic signals from 20 participants while they performed short piano sequences under the occasional effect of altered feedback (AF), we found that at around 150-200 ms post-keystroke, the neural activities in the dorsolateral prefrontal cortex (DLPFC) and supplementary motor area (SMA) were dissociated for boundary and within-sequence elements. Furthermore, the behavioral data demonstrated that feedback alterations on boundaries led to greater performance costs, such as more errors in the subsequent keystrokes. These findings jointly support the idea that the proper encoding of boundaries is critical in acquiring sensorimotor sequences. They also provide evidence for the involvement of a distinct neural circuitry in humans including prefrontal and higher-order motor areas during the encoding of the different classes of serial order.

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The data shown below were collected from the profiles of 7 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 23%
Student > Ph. D. Student 7 18%
Student > Bachelor 3 8%
Student > Master 3 8%
Student > Postgraduate 2 5%
Other 4 10%
Unknown 11 28%
Readers by discipline Count As %
Neuroscience 7 18%
Psychology 7 18%
Medicine and Dentistry 3 8%
Arts and Humanities 2 5%
Unspecified 1 3%
Other 3 8%
Unknown 16 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 22 June 2018.
All research outputs
#6,829,043
of 23,075,872 outputs
Outputs from Frontiers in Human Neuroscience
#2,811
of 7,210 outputs
Outputs of similar age
#116,925
of 328,303 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#65
of 134 outputs
Altmetric has tracked 23,075,872 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 7,210 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. 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 328,303 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 64% of its contemporaries.
We're also able to compare this research output to 134 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 50% of its contemporaries.