Titel:	EEG correlates of sensorimotor processing: independent components involved in sensory and motor processing
Autor(en):	Melnik, Andrew Hairston, David Ferris, Daniel P. König, Peter
Zusammenfassung:	Sensorimotor processing is a critical function of the human brain with multiple cortical areas specialised for sensory recognition or motor execution. Although there has been considerable research into sensorimotor control in humans, the steps between sensory recognition and motor execution are not fully understood. To provide insight into brain areas responsible for sensorimotor computation, we used complex categorization-response tasks (variations of a Stroop task requiring recognition, decision- making, and motor responses) to test the hypothesis that some functional modules are participating in both sensory as well as motor processing. We operationalize functional modules as independent components (ICs) yielded by an independent component analysis (ICA) of EEG data and measured event-related responses by means of inter-trial coherence (ITC). Our results consistently found ICs with event-related ITC responses related to both sensory stimulation and motor response onsets (on average 5.8 ICs per session). These findings reveal EEG correlates of tightly coupled sensorimotor processing in the human brain, and support frameworks like embodied cognition, common coding, and sensorimotor contingency that do not sequentially separate sensory and motor brain processes
Bibliografische Angaben:	Scientific Reports 7:4461 (2017) Springer Nature
URL:	https://osnadocs.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-2018043016979
Schlagworte:	EEG; sensorimotor processing
Erscheinungsdatum:	30-Apr-2018
Lizenzbezeichnung:	Namensnennung 4.0 International
URL der Lizenz:	http://creativecommons.org/licenses/by/4.0/
Publikationstyp:	Einzelbeitrag in einer wissenschaftlichen Zeitschrift [article]
Enthalten in den Sammlungen:	FB08 - Hochschulschriften Open-Access-Publikationsfonds

Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons