Auditory predictions shape the neural responses to stimulus repetition and sensory change

dc.contributor.authorCacciaglia, Raffaele
dc.contributor.authorCosta Faidella, Jordi
dc.contributor.authorZarnowiec, Katarzyna
dc.contributor.authorGrimm, Sabine
dc.contributor.authorEscera i Micó, Carles
dc.date.accessioned2024-02-08T18:05:35Z
dc.date.available2024-02-08T18:05:35Z
dc.date.issued2019-02-01
dc.date.updated2024-02-08T18:05:35Z
dc.description.abstractPerception is a highly active process relying on the continuous formulation of predictive inferences using short-term sensory memory templates, which are recursively adjusted based on new input. According to this idea, earlier studies have shown that novel stimuli preceded by a higher number of repetitions yield greater novelty responses, indexed by larger mismatch negativity (MMN). However, it is not clear whether this MMN memory trace effect is driven by more adapted responses to prior stimulation or rather by a heightened processing of the unexpected deviant, and only few studies have so far attempted to characterize the functional neuroanatomy of these effects. Here we implemented a modified version of the auditory frequency oddball paradigm that enables modeling the responses to both repeated standard and deviant stimuli. Fifteen subjects underwent functional magnetic resonance imaging (fMRI) while their attention was diverted from auditory stimulation. We found that deviants with longer stimulus history of standard repetitions yielded a more robust and widespread activation in the bilateral auditory cortex. Standard tones repetition yielded a pattern of response entangling both suppression and enhancement effects depending on the predictability of upcoming stimuli. We also observed that regularity encoding and deviance detection mapped onto spatially segregated cortical subfields. Our data provide a better understanding of the neural representations underlying auditory repetition and deviance detection effects, and further support that perception operates through the principles of Bayesian predictive coding.
dc.format.extent11 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec684842
dc.identifier.issn1053-8119
dc.identifier.urihttps://hdl.handle.net/2445/207317
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.isformatofVersió postprint del document publicat a: https://doi.org/10.1016/j.neuroimage.2018.11.007
dc.relation.ispartofNeuroimage, 2019, vol. 186, p. 200-210
dc.relation.urihttps://doi.org/10.1016/j.neuroimage.2018.11.007
dc.rightscc-by-nc-nd (c) Elsevier B.V., 2019
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceArticles publicats en revistes (Psicologia Clínica i Psicobiologia)
dc.subject.classificationPercepció auditiva
dc.subject.classificationPsicoacústica
dc.subject.classificationImatges per ressonància magnètica
dc.subject.classificationNeurologia
dc.subject.classificationEstimulació del cervell
dc.subject.otherAuditory perception
dc.subject.otherPsychoacoustic
dc.subject.otherMagnetic resonance imaging
dc.subject.otherNeurology
dc.subject.otherBrain stimulation
dc.titleAuditory predictions shape the neural responses to stimulus repetition and sensory change
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/acceptedVersion

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