Mobile brain/body imaging (MoBI) of physical interaction with dynamically moving objects

Jungnickel, E; Gramann, K

Mobile brain/body imaging (MoBI) of physical interaction with dynamically moving objects

Jungnickel, E Gramann, K

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Publication Type:: Journal Article
Citation:: Frontiers in Human Neuroscience, 2016, 10
Issue Date:: 2016-06-27

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Field	Value	Language
dc.contributor.author	Jungnickel, E	en_US
dc.contributor.author	Gramann, K https://orcid.org/0000-0003-2673-1832	en_US
dc.date.available	2016-06-03	en_US
dc.date.issued	2016-06-27	en_US
dc.identifier.citation	Frontiers in Human Neuroscience, 2016, 10	en_US
dc.identifier.uri	http://hdl.handle.net/10453/130094
dc.description.abstract	© 2016 Jungnickel and Gramann. 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.	en_US
dc.relation.ispartof	Frontiers in Human Neuroscience	en_US
dc.relation.isbasedon	10.3389/fnhum.2016.00306	en_US
dc.subject.classification	Experimental Psychology	en_US
dc.title	Mobile brain/body imaging (MoBI) of physical interaction with dynamically moving objects	en_US
dc.type	Journal Article
utslib.citation.volume	10	en_US
utslib.for	1109 Neurosciences	en_US
utslib.for	1701 Psychology	en_US
utslib.for	1702 Cognitive Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	10	en_US

Abstract:

© 2016 Jungnickel and Gramann. 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.

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http://hdl.handle.net/10453/130094