Valence‐dependent brain potentials of processing augmented feedback in learning a complex arm movement sequence

ERPs in the EEG were scrutinized in learning a complex arm movement sequence with the aim to examine valence effects on processing augmented feedback during practice. Twenty‐four healthy subjects practiced one session with 192 feedback trials according to an adaptive bandwidth feedback approach with...

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Bibliographic Details
Published in:	Psychophysiology Vol. 57; no. 3; pp. e13508 - n/a
Main Authors:	Krause, Daniel, Koers, Timo, Maurer, Lisa Katharina
Format:	Journal Article
Language:	English
Published:	United States Blackwell Publishing Ltd 01-03-2020
Subjects:	Adult Arm augmented feedback Cognitive ability EEG Electrodes Electroencephalography ERPs Event-related potentials Evoked Potentials - physiology Feedback Feedback, Psychological - physiology feedback‐related negativity Female Humans Learning - physiology Male Motor Activity - physiology motor learning Motor skill learning motor task Motor task performance Psychomotor Performance - physiology Young Adult ERPs motor learning augmented feedback motor task feedback-related negativity
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Summary:	ERPs in the EEG were scrutinized in learning a complex arm movement sequence with the aim to examine valence effects on processing augmented feedback during practice. Twenty‐four healthy subjects practiced one session with 192 feedback trials according to an adaptive bandwidth feedback approach with a high informational level of feedback information (i.e., amplitude and direction of errors). The bandwidth for successful performance (increase of a score for a monetary competition) was manipulated to yield a success rate (positive feedback frequency) of approximately 50% adaptive to the current performance level. This allowed a variation of feedback valence unconfounded by success rate. In line with our hypotheses, the EEG data showed a valence‐dependent feedback‐related negativity (FRN) and a later fronto‐central component at the FCz electrode as well as a P300 component at the Pz electrode. Moreover, the P300 and amplitudes in the FRN time window reduced in the second half of practice but were still dependent on feedback valence. Behavioral adjustments were larger after feedback with negative valence and were predicted by the late fronto‐central component. The data support the assumption of feedback valence‐dependent modulation of attentional cognitive involvement in motor control and learning. Recent findings show varying correlations of error‐related EEG components with the processing of augmented feedback and behavioral adjustments when feedback is more complex. Besides revealing valence‐dependent processing of augmented feedback for the FRN and P300, our findings support the assumption that a later fronto‐central component, presumably related to supervised learning, predicts behavioral adjustments (trial‐to‐trial changes) more than the FRN (related to reinforcement learning) and P300 (related to memory updating) when feedback complexity is high.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	0048-5772 1469-8986 1540-5958
DOI:	10.1111/psyp.13508