Error monitoring and correction in violin performance: An EEG study


Por: Blanco ÁD, Costa-Faidella J, Carrillo AP, Dalmazzo D, Ramirez-Melendez R and San Miguel-Insúa I

Publicada: 1 sep 2025 Ahead of Print: 1 jul 2025
Resumen:
Previous research using electroencephalography (EEG) has investigated neural error-related music production processes in expert pianists reporting a frontal event-related negativity followed by a P300 event-related potential (ERP) after mistuned notes. However, piano playing does not rely on auditory feedback and corrective movements when dealing with accurate note tuning, thus offering an incomplete picture about error monitoring processes in players of many other musical instruments, including the human voice. We here designed a setup allowing us to collect the EEG of expert bow-string players while performing short melodies on the violin, (a fretless instrument) while also manipulating in real-time the produced pitch in a controlled manner. 15 expert bow-string players were asked to 1) listen to a reference melody of four notes; 2) play that melody with a violin (Active Condition); and 3) listen passively to the replay of their performance (Replayed Condition). Randomly, the auditory feedback of one of the four melody notes was manipulated in the Active Condition by lowering or lifting the pitch by half semitone. We found that mistuned notes, independently of whether they were manipulated externally or were produced by natural playing errors, elicited an f-ERN followed by a P300. We also found that the amplitude of the f-ERN was larger for faster corrective movements than for slower ones. In addition, between the f-ERN and the P300, we also identified two negative components-one in parietal areas and another in central-right regions-whose amplitudes were greater for slower corrective movements. We suggest the existence of two error-monitoring systems: a "fast" system mediated by the medial frontal cortex that quickly corrects errors when certainty is high and a "slow" system mediated by the posterior parietal cortex that accumulates evidence under uncertainty before triggering correction.

Filiaciones:
Blanco ÁD:
 Music and Machine Learning Lab, Department of Information and Communications Technologies, Universitat Pompeu Fabra, Barcelona, Spain

Costa-Faidella J:
 Brainlab - Cognitive Neuroscience Research Group, Departament de Psicologia Clínica i Psicobiologia, Universitat de Barcelona, Spain

 Institut de Neurociències, Universitat de Barcelona, Spain

 Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain

Carrillo AP:
 Music and Machine Learning Lab, Department of Information and Communications Technologies, Universitat Pompeu Fabra, Barcelona, Spain

Dalmazzo D:
 Music and Machine Learning Lab, Department of Information and Communications Technologies, Universitat Pompeu Fabra, Barcelona, Spain

Ramirez-Melendez R:
 Music and Machine Learning Lab, Department of Information and Communications Technologies, Universitat Pompeu Fabra, Barcelona, Spain

San Miguel-Insúa I:
 Brainlab - Cognitive Neuroscience Research Group, Departament de Psicologia Clínica i Psicobiologia, Universitat de Barcelona, Spain

 Institut de Neurociències, Universitat de Barcelona, Spain

 Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain

Univ Pompeu Fabra, Dept Informat & Commun Technol, Mus & Machine
Learning Lab, Barcelona, Spain
Univ Barcelona, Dept Psicol Clin & Psicobiol, Brainlab Cognit Neurosci
Res Grp, Barcelona, Spain
Univ Barcelona, Inst Neurociencies, Barcelona, Spain
Inst Recerca St Joan de Deu, Esplugas de Llobregat, Spain
ISSN: 10538119





NEUROIMAGE
Editorial
ACADEMIC PRESS INC ELSEVIER SCIENCE, 525 B ST, STE 1900, SAN DIEGO, CA 92101-4495, Estados Unidos America
Tipo de documento: Article
Volumen: 318 Número:
Páginas: 121365-121365
WOS Id: 001543021200001
ID de PubMed: 40645464
imagen Green Submitted, gold

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