dc.contributor.author	Jungnickel, Evelyn
dc.contributor.author	Gramann, Klaus
dc.date.accessioned	2019-10-23T14:08:03Z
dc.date.available	2019-10-23T14:08:03Z
dc.date.issued	2016-06-27
dc.date.updated	2019-09-28T10:57:04Z
dc.description.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.	en
dc.identifier.eissn	1662-5161
dc.identifier.uri	https://depositonce.tu-berlin.de/handle/11303/10170
dc.identifier.uri	http://dx.doi.org/10.14279/depositonce-9159
dc.language.iso	en	en
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/	en
dc.subject.ddc	610 Medizin und Gesundheit	de
dc.subject.other	mobile brain/body imaging	en
dc.subject.other	EEG	en
dc.subject.other	embodied cognition	en
dc.subject.other	independent component analysis	en
dc.subject.other	P300	en
dc.subject.other	oddball paradigm	en
dc.subject.other	MoBI	en
dc.title	Mobile Brain/Body Imaging (MoBI) of Physical Interaction with Dynamically Moving Objects	en
dc.type	Article	en
dc.type.version	publishedVersion	en
dcterms.bibliographicCitation.articlenumber	306	en
dcterms.bibliographicCitation.doi	10.3389/fnhum.2016.00306	en
dcterms.bibliographicCitation.journaltitle	Frontiers in Human Neuroscience	en
dcterms.bibliographicCitation.originalpublishername	Frontiers Media S.A.	en
dcterms.bibliographicCitation.originalpublisherplace	Lausanne	en
dcterms.bibliographicCitation.volume	10	en
tub.accessrights.dnb	free	en
tub.affiliation	Fak. 5 Verkehrs- und Maschinensysteme::Inst. Psychologie und Arbeitswissenschaft::FG Biopsychologie und Neuroergonomie	de
tub.affiliation.faculty	Fak. 5 Verkehrs- und Maschinensysteme	de
tub.affiliation.group	FG Biopsychologie und Neuroergonomie	de
tub.affiliation.institute	Inst. Psychologie und Arbeitswissenschaft	de
tub.publisher.universityorinstitution	Technische Universität Berlin	en

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

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