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Predictive error detection in pianists: a combined ERP and motion capture study

Performing a piece of music involves the interplay of several cognitive and motor processes and requires extensive training to achieve a high skill level. However, even professional musicians commit errors occasionally. Previous event-related potential (ERP) studies have investigated the neurophysio...

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Autores principales: Maidhof, Clemens, Pitkäniemi, Anni, Tervaniemi, Mari
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3783998/
https://www.ncbi.nlm.nih.gov/pubmed/24133428
http://dx.doi.org/10.3389/fnhum.2013.00587
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author Maidhof, Clemens
Pitkäniemi, Anni
Tervaniemi, Mari
author_facet Maidhof, Clemens
Pitkäniemi, Anni
Tervaniemi, Mari
author_sort Maidhof, Clemens
collection PubMed
description Performing a piece of music involves the interplay of several cognitive and motor processes and requires extensive training to achieve a high skill level. However, even professional musicians commit errors occasionally. Previous event-related potential (ERP) studies have investigated the neurophysiological correlates of pitch errors during piano performance, and reported pre-error negativity already occurring approximately 70–100 ms before the error had been committed and audible. It was assumed that this pre-error negativity reflects predictive control processes that compare predicted consequences with actual consequences of one's own actions. However, in previous investigations, correct and incorrect pitch events were confounded by their different tempi. In addition, no data about the underlying movements were available. In the present study, we exploratively recorded the ERPs and 3D movement data of pianists' fingers simultaneously while they performed fingering exercises from memory. Results showed a pre-error negativity for incorrect keystrokes when both correct and incorrect keystrokes were performed with comparable tempi. Interestingly, even correct notes immediately preceding erroneous keystrokes elicited a very similar negativity. In addition, we explored the possibility of computing ERPs time-locked to a kinematic landmark in the finger motion trajectories defined by when a finger makes initial contact with the key surface, that is, at the onset of tactile feedback. Results suggest that incorrect notes elicited a small difference after the onset of tactile feedback, whereas correct notes preceding incorrect ones elicited negativity before the onset of tactile feedback. The results tentatively suggest that tactile feedback plays an important role in error-monitoring during piano performance, because the comparison between predicted and actual sensory (tactile) feedback may provide the information necessary for the detection of an upcoming error.
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spelling pubmed-37839982013-10-16 Predictive error detection in pianists: a combined ERP and motion capture study Maidhof, Clemens Pitkäniemi, Anni Tervaniemi, Mari Front Hum Neurosci Neuroscience Performing a piece of music involves the interplay of several cognitive and motor processes and requires extensive training to achieve a high skill level. However, even professional musicians commit errors occasionally. Previous event-related potential (ERP) studies have investigated the neurophysiological correlates of pitch errors during piano performance, and reported pre-error negativity already occurring approximately 70–100 ms before the error had been committed and audible. It was assumed that this pre-error negativity reflects predictive control processes that compare predicted consequences with actual consequences of one's own actions. However, in previous investigations, correct and incorrect pitch events were confounded by their different tempi. In addition, no data about the underlying movements were available. In the present study, we exploratively recorded the ERPs and 3D movement data of pianists' fingers simultaneously while they performed fingering exercises from memory. Results showed a pre-error negativity for incorrect keystrokes when both correct and incorrect keystrokes were performed with comparable tempi. Interestingly, even correct notes immediately preceding erroneous keystrokes elicited a very similar negativity. In addition, we explored the possibility of computing ERPs time-locked to a kinematic landmark in the finger motion trajectories defined by when a finger makes initial contact with the key surface, that is, at the onset of tactile feedback. Results suggest that incorrect notes elicited a small difference after the onset of tactile feedback, whereas correct notes preceding incorrect ones elicited negativity before the onset of tactile feedback. The results tentatively suggest that tactile feedback plays an important role in error-monitoring during piano performance, because the comparison between predicted and actual sensory (tactile) feedback may provide the information necessary for the detection of an upcoming error. Frontiers Media S.A. 2013-09-26 /pmc/articles/PMC3783998/ /pubmed/24133428 http://dx.doi.org/10.3389/fnhum.2013.00587 Text en Copyright © 2013 Maidhof, Pitkäniemi and Tervaniemi. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Maidhof, Clemens
Pitkäniemi, Anni
Tervaniemi, Mari
Predictive error detection in pianists: a combined ERP and motion capture study
title Predictive error detection in pianists: a combined ERP and motion capture study
title_full Predictive error detection in pianists: a combined ERP and motion capture study
title_fullStr Predictive error detection in pianists: a combined ERP and motion capture study
title_full_unstemmed Predictive error detection in pianists: a combined ERP and motion capture study
title_short Predictive error detection in pianists: a combined ERP and motion capture study
title_sort predictive error detection in pianists: a combined erp and motion capture study
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3783998/
https://www.ncbi.nlm.nih.gov/pubmed/24133428
http://dx.doi.org/10.3389/fnhum.2013.00587
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