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Mobile Brain/Body Imaging (MoBI) of Physical Interaction with Dynamically Moving Objects

Overview of attention for article published in Frontiers in Human Neuroscience, June 2016
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  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

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Title
Mobile Brain/Body Imaging (MoBI) of Physical Interaction with Dynamically Moving Objects
Published in
Frontiers in Human Neuroscience, June 2016
DOI 10.3389/fnhum.2016.00306
Pubmed ID
Authors

Evelyn Jungnickel, Klaus Gramann

Abstract

The non-invasive recording and analysis of human brain activity during active movements in natural working conditions is a central challenge in Neuroergonomics research. Existing brain imaging approaches do not allow for an investigation of brain dynamics during active behavior because their sensors cannot follow the movement of the signal source. However, movements that require the operator to react fast and to adapt to a dynamically changing environment occur frequently in working environments like assembly-line work, construction trade, health care, but also outside the working environment like in team sports. Overcoming the restrictions of existing imaging methods would allow for deeper insights into neurocognitive processes at workplaces that require physical interactions and thus could help to adapt work settings to the user. To investigate the brain dynamics accompanying rapid volatile movements we used a visual oddball paradigm where participants had to react to color changes either with a simple button press or by physically pointing towards a moving target. Using a mobile brain/body imaging approach (MoBI) including independent component analysis (ICA) with subsequent backprojection of cluster activity allowed for systematically describing the contribution of brain and non-brain sources to the sensor signal. The results demonstrate that visual event-related potentials (ERPs) can be analyzed for simple button presses and physical pointing responses and that it is possible to quantify the contribution of brain processes, muscle activity and eye movements to the signal recorded at the sensor level even for fast volatile arm movements with strong jerks. Using MoBI in naturalistic working environments can thus help to analyze brain dynamics in natural working conditions and help improving unhealthy or inefficient work settings.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 <1%
Unknown 139 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 20%
Student > Master 23 16%
Researcher 19 14%
Student > Bachelor 11 8%
Student > Doctoral Student 10 7%
Other 22 16%
Unknown 27 19%
Readers by discipline Count As %
Engineering 26 19%
Psychology 20 14%
Neuroscience 20 14%
Computer Science 7 5%
Medicine and Dentistry 6 4%
Other 21 15%
Unknown 40 29%
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 12 December 2018.
All research outputs
#6,757,455
of 22,876,619 outputs
Outputs from Frontiers in Human Neuroscience
#2,808
of 7,169 outputs
Outputs of similar age
#110,472
of 352,118 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#71
of 189 outputs
Altmetric has tracked 22,876,619 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 7,169 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 352,118 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 68% of its contemporaries.
We're also able to compare this research output to 189 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 61% of its contemporaries.