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Neural correlates of error prediction in a complex motor task

Maurer, Lisa Katharina ; Maurer, Heiko ; Müller, Hermann


Originalveröffentlichung: (2015) Frontiers in Behavioral Neuroscience 9:209 doi:10.3389/fnbeh.2015.00209
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URN: urn:nbn:de:hebis:26-opus-119114
URL: http://geb.uni-giessen.de/geb/volltexte/2016/11911/

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Freie Schlagwörter (Englisch): error prediction , error-related negativity , motor task , ballistic throwing task , forward modelling , electroencephalography
Sammlung: Open Access - Publikationsfonds
Universität Justus-Liebig-Universität Gießen
Institut: Neuromotor Behavior Lab, Department of Psychology and Sport Science
Fachgebiet: Psychologie und Sportwissenschaft fachübergreifend
DDC-Sachgruppe: Psychologie
Dokumentart: Aufsatz
Sprache: Englisch
Erstellungsjahr: 2015
Publikationsdatum: 29.01.2016
Kurzfassung auf Englisch: The goal of the study was to quantify error prediction processes via neural correlates in the Electroencephalogram (EEG). Access to such a neural signal will allow to gain insights into functional and temporal aspects of error perception in the course of learning. We focused on the error negativity (Ne) or error-related negativity (ERN) as a candidate index for the prediction processes. We have used a virtual goal-oriented throwing task where participants used a lever to throw a virtual ball displayed on a computer monitor with the goal of hitting a virtual target as often as possible. After one day of practice with 400 trials, participants performed another 400 trials on a second day with EEG measurement. After error trials (i.e., when the ball missed the target), we found a sharp negative deflection in the EEG peaking 250 ms after ball release (mean amplitude: t = -2.5, df = 20, p = 0.02) and another broader negative deflection following the first, reaching from about 300 ms after release until unambiguous visual knowledge of results (KR; hitting or passing by the target; mean amplitude: t = -7.5, df = 20, p < 0.001). According to shape and timing of the two deflections, we assume that the first deflection represents a predictive Ne/ERN (prediction based on efferent commands and proprioceptive feedback) while the second deflection might have arisen from action monitoring.
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