Population-level differences in the neural substrates supporting statistical learning

  • The ability to extract regularities from the environment is arguably an adaptive characteristic of intelligent systems. In the context of speech, statistical learning is thought to be an important mechanism for language acquisition. By considering individual differences in speech auditory-motor synchronization, an independent component analysis of fMRI data revealed that the neural substrates of statistical word form learning are not fully shared across individuals. While a network of auditory and superior pre/motor regions is universally activated in the process of learning, a fronto-parietal network is instead additionally and selectively engaged by some individuals, boosting their performance. Furthermore, interfering with the use of this network via articulatory suppression (producing irrelevant speech during learning) normalizes performance across the entire sample. Our work provides novel insights on language-related statistical learning and reconciles previous contrasting findings, while highlighting the need to factor in fundamental individual differences for a precise characterization of cognitive phenomena.

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Author:Joan OrpellaORCiD, M. Florencia AssaneoORCiD, Pablo RipollésORCiD, Laura Noejovich, Diana López-BarrosoORCiD, Ruth de Diego-BalaguerORCiD, David PoeppelORCiDGND
Parent Title (English):bioRxiv
Document Type:Preprint
Date of Publication (online):2022/05/23
Date of first Publication:2022/05/23
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2023/04/18
Page Number:35
Institutes:Angeschlossene und kooperierende Institutionen / MPI für empirische Ästhetik
Dewey Decimal Classification:1 Philosophie und Psychologie / 15 Psychologie / 150 Psychologie
Licence (German):License LogoCreative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International