dc.contributor.author | Morucci, Piermatteo | |
dc.contributor.author | Nara, Sanjeev | |
dc.contributor.author | Lizarazu, Mikel | |
dc.contributor.author | Martin, Clara | |
dc.contributor.author | Molinaro, Nicola | |
dc.date.accessioned | 2024-10-03T09:29:04Z | |
dc.date.available | 2024-10-03T09:29:04Z | |
dc.date.issued | 2024 | |
dc.identifier.citation | Piermatteo MorucciSanjeev NaraMikel LizarazuClara MartinNicola Molinaro (2024) Language experience shapes predictive coding of rhythmic sound sequences eLife 12:RP91636. | es_ES |
dc.identifier.citation | eLife | |
dc.identifier.issn | 2050-084X | |
dc.identifier.uri | http://hdl.handle.net/10810/69663 | |
dc.description | Available online 13 september | es_ES |
dc.description.abstract | Perceptual systems heavily rely on prior knowledge and predictions to make sense of
the environment. Predictions can originate from multiple sources of information, including contextual
short-term
priors, based on isolated temporal situations, and context-independent
long-term
priors, arising from extended exposure to statistical regularities. While the effects of short-term
predictions on auditory perception have been well-documented,
how long-term
predictions shape
early auditory processing is poorly understood. To address this, we recorded magnetoencephalography
data from native speakers of two languages with different word orders (Spanish: functor-initial
vs Basque: functor-final)
listening to simple sequences of binary sounds alternating in duration
with occasional omissions. We hypothesized that, together with contextual transition probabilities,
the auditory system uses the characteristic prosodic cues (duration) associated with the native
language’s word order as an internal model to generate long-term
predictions about incoming
non-linguistic
sounds. Consistent with our hypothesis, we found that the amplitude of the mismatch
negativity elicited by sound omissions varied orthogonally depending on the speaker’s linguistic
background and was most pronounced in the left auditory cortex. Importantly, listening to binary
sounds alternating in pitch instead of duration did not yield group differences, confirming that the
above results were driven by the hypothesized long-term
‘duration’ prior. These findings show that
experience with a given language can shape a fundamental aspect of human perception – the neural
processing of rhythmic sounds – and provides direct evidence for a long-term
predictive coding
system in the auditory cortex that uses auditory schemes learned over a lifetime to process incoming
sound sequences. | es_ES |
dc.description.sponsorship | This research was supported by the Basque Government through the BERC 2022–2025 program and by the Spanish State Research Agency through BCBL Severo Ochoa excellence accreditation CEX2020-001010-S. Work by PM received support from 'la Caixa' Foundation (ID 100010434) through the fellowship LCF/BQ/IN17/11620019, and the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement no. 713673. CM received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant Agreement No: 819093), the Spanish Ministry of Economy and Competitiveness (PID2020-113926GB-I00), and the Basque Government (PIBA18_29). NM was supported by the Spanish Ministry of Economy and Competitiveness (PSI2015-65694-P, RTI2018-096311-B-I00, PDC2022-133917-I00). Work by ML received support from Juan de la Cierva IJC2020-042886-I. SN acknowledges the support from 'The Adaptive Mind', funded by the Excellence Program of the Hessian Ministry of Higher Education, Science, Research and Art. We wish to express our gratitude to the BCBL lab staff and the research assistants who helped to recruit the participants and collect the data. We thank Ram Frost for providing helpful comments on the manuscript. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | eLife Sciences Publications | es_ES |
dc.relation | info:eu-repo/grantAgreement/GV/BERC2022-2025 | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI/CEX2020-001010-S | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/MSCA/713673 | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/ERC/819093 | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI/PID2020-113926GB-I00 | es_ES |
dc.relation | info:eu-repo/grantAgreement/GV/PIBA18_29 | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI/PSI2015-65694-P | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI/RTI2018-096311-B-I00 | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI/PDC2022-133917-I00 | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI/IJC2020-042886-I | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.title | Language experience shapes predictive coding of rhythmic sound sequences | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | Copyright Morucci et al. This
article is distributed under the
terms of the Creative Commons
Attribution License, which
permits unrestricted use and
redistribution provided that the
original author and source are
credited. | es_ES |
dc.relation.publisherversion | https://elifesciences.org/ | es_ES |
dc.identifier.doi | 10.7554/eLife.91636.3 | |