TY  - INPR
A1  - Orpella, Joan
A1  - Assaneo, M. Florencia
A1  - Ripollés, Pablo
A1  - Noejovich, Laura
A1  - López-Barroso, Diana
A1  - Diego-Balaguer, Ruth de
A1  - Poeppel, David
T1  - Population-level differences in the neural substrates supporting statistical learning
T2  - bioRxiv
N2  - 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.
Y1  - 2022
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/73060
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-730602
IS  - 2020.07.03.187260
ER  -