Differential neural mechanisms for early and late prediction error detection

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• dc.contributor.author Malekshahi, Rahim
• dc.contributor.author Seth, Anil
• dc.contributor.author Papanikolaou, Amalia
• dc.contributor.author Mathews, Zenon
• dc.contributor.author Birbaumer, Niels
• dc.contributor.author Verschure, Paul F. M. J.
• dc.contributor.author Caria, Andrea
• dc.date.accessioned 2024-01-16T06:56:12Z
• dc.date.available 2024-01-16T06:56:12Z
• dc.date.issued 2016
• dc.description.abstract Emerging evidence indicates that prediction, instantiated at different perceptual levels, facilitate visual processing and enable prompt and appropriate reactions. Until now, the mechanisms underlying the effect of predictive coding at different stages of visual processing have still remained unclear. Here, we aimed to investigate early and late processing of spatial prediction violation by performing combined recordings of saccadic eye movements and fast event-related fMRI during a continuous visual detection task. Psychophysical reverse correlation analysis revealed that the degree of mismatch between current perceptual input and prior expectations is mainly processed at late rather than early stage, which is instead responsible for fast but general prediction error detection. Furthermore, our results suggest that conscious late detection of deviant stimuli is elicited by the assessment of prediction error’s extent more than by prediction error per se. Functional MRI and functional connectivity data analyses indicated that higher-level brain systems interactions modulate conscious detection of prediction error through top-down processes for the analysis of its representational content, and possibly regulate subsequent adaptation of predictive models. Overall, our experimental paradigm allowed to dissect explicit from implicit behavioral and neural responses to deviant stimuli in terms of their reliance on predictive models.
• dc.description.sponsorship This work was supported by the European Union, FP7-ICT-2009 – CEEDS: The Collective Experience of Empathic Data Systems - Grant agreement no. 258749.
• dc.format.mimetype application/pdf
• dc.identifier.citation Malekshahi R, Seth A, Papanikolaou A, Mathews Z, Birbaumer N, Verschure PFMJ, et al. Differential neural mechanisms for early and late prediction error detection. Sci Rep. 2016 Apr 15;6(1):24350. DOI: 10.1038/srep24350
• dc.identifier.doi http://dx.doi.org/10.1038/srep24350
• dc.identifier.issn 2045-2322
• dc.identifier.uri http://hdl.handle.net/10230/58705
• dc.language.iso eng
• dc.publisher Nature Research
• dc.relation.ispartof Scientific Reports. 2016 Apr 15;6(1):24350
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/258749
• dc.rights This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/4.0/
• dc.subject.other Neurones
• dc.subject.other Visió
• dc.subject.other Percepció visual
• dc.title Differential neural mechanisms for early and late prediction error detection
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion