Standard Tone Stability as a Manipulation of Precision in the Oddball Paradigm: Modulation of Prediction Error Responses to Fixed-Probability Deviants.
Por:
San Miguel-Insúa I, Costa-Faidella J, Lugo ZR, Vilella E and Escera C
Publicada:
28 sep 2021
Ahead of Print:
28 sep 2021
Resumen:
Electrophysiological sensory deviance detection signals, such as the mismatch negativity (MMN), have been interpreted from the predictive coding framework as manifestations of prediction error (PE). From a frequentist perspective of the classic oddball paradigm, deviant stimuli are unexpected because of their low probability. However, the amount of PE elicited by a stimulus can be dissociated from its probability of occurrence: when the observer cannot make confident predictions, any event holds little surprise value, no matter how improbable. Here we tested the hypothesis that the magnitude of the neural response elicited to an improbable sound (D) would scale with the precision of the prediction derived from the repetition of another sound (S), by manipulating repetition stability. We recorded the Electroencephalogram (EEG) from 20 participants while passively listening to 4 types of isochronous pure tone sequences differing in the probability of the S tone (880 Hz) while holding constant the probability of the D tone [1,046 Hz; p(D) = 1/11]: Oddball [p(S) = 10/11]; High confidence (7/11); Low confidence (4/11); and Random (1/11). Tones of 9 different frequencies were equiprobably presented as fillers [p(S) + p(D) + p(F) = 1]. Using a mass-univariate non-parametric, cluster-based correlation analysis controlling for multiple comparisons, we found that the amplitude of the deviant-elicited ERP became more negative with increasing S probability, in a time-electrode window consistent with the MMN (ca. 120-200 ms; frontal), suggesting that the strength of a PE elicited to an improbable event indeed increases with the precision of the predictive model.
Filiaciones:
San Miguel-Insúa I:
Brainlab-Cognitive Neuroscience Research Group, Department of Clinical Psychology and Psychobiology, University of Barcelona, Barcelona, Spain
Institute of Neurosciences, University of Barcelona, Barcelona, Spain
Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain
Costa-Faidella J:
Brainlab-Cognitive Neuroscience Research Group, Department of Clinical Psychology and Psychobiology, University of Barcelona, Barcelona, Spain
Institute of Neurosciences, University of Barcelona, Barcelona, Spain
Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain
Lugo ZR:
Hospital Universitari Institut Pere Mata, Universitat Rovira i Virgili (URV), Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
Vilella E:
Hospital Universitari Institut Pere Mata, Universitat Rovira i Virgili (URV), Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain
Escera C:
Brainlab-Cognitive Neuroscience Research Group, Department of Clinical Psychology and Psychobiology, University of Barcelona, Barcelona, Spain
Institute of Neurosciences, University of Barcelona, Barcelona, Spain
Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain
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