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Differential activation of a frontoparietal network explains population-level differences in statistical learning from speech.

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dc.contributor.authorOrpella, Joan
dc.contributor.authorAssaneo, M Florencia
dc.contributor.authorRipollés, Pablo
dc.contributor.authorNoejovich, Laura
dc.contributor.authorLópez-Barroso, Diana
dc.contributor.authorDiego-Balaguer, Ruth de
dc.contributor.authorPoeppel, David
dc.date.accessioned2024-02-27T15:09:03Z
dc.date.available2024-02-27T15:09:03Z
dc.date.issued2022-07-06
dc.description.abstractPeople of all ages display the ability to detect and learn from patterns in seemingly random stimuli. Referred to as statistical learning (SL), this process is particularly critical when learning a spoken language, helping in the identification of discrete words within a spoken phrase. Here, by considering individual differences in speech auditory-motor synchronization, we demonstrate that recruitment of a specific neural network supports behavioral differences in SL from speech. While independent component analysis (ICA) of fMRI data revealed that a network of auditory and superior pre/motor regions is universally activated in the process of learning, a frontoparietal network is additionally and selectively engaged by only some individuals (high auditory-motor synchronizers). Importantly, activation of this frontoparietal network is related to a boost in learning performance, and interference with this network via articulatory suppression (AS; i.e., producing irrelevant speech during learning) normalizes performance across the entire sample. Our work provides novel insights on SL from speech and reconciles previous contrasting findings. These findings also highlight a more general need to factor in fundamental individual differences for a precise characterization of cognitive phenomena.
dc.format.number7es_ES
dc.format.pagee3001712es_ES
dc.format.volume20es_ES
dc.identifier.doi10.1371/journal.pbio.3001712
dc.identifier.e-issn1545-7885es_ES
dc.identifier.journalPLoS biologyes_ES
dc.identifier.otherhttp://hdl.handle.net/10668/20411
dc.identifier.pubmedID35793349es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/18703
dc.language.isoeng
dc.rights.accessRightsopen accesses_ES
dc.rights.licenseAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.meshBrain Mapping
dc.subject.meshHumans
dc.subject.meshMagnetic Resonance Imaging
dc.subject.meshSpeech
dc.subject.meshSpeech Perception
dc.titleDifferential activation of a frontoparietal network explains population-level differences in statistical learning from speech.
dc.typeresearch article
dc.type.hasVersionVoR
dspace.entity.typePublication
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