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  Reduced functional connectivity supports statistical learning of temporally distributed regularities

Park, J., Janacsek, K., Nemeth, D., & Jeon, H.-A. (2022). Reduced functional connectivity supports statistical learning of temporally distributed regularities. NeuroImage, 260: 119459. doi:10.1016/j.neuroimage.2022.119459.

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 Urheber:
Park, Jungtak1, Autor
Janacsek, Karolina1, Autor
Nemeth, Dezso1, Autor
Jeon, Hyeon-Ae1, Autor           
Affiliations:
1External Organizations, ou_persistent22              

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Schlagwörter: Statistical learning; fMRI; Functional connectivity; Group ICA; ASRT
 Zusammenfassung: Statistical learning is a powerful ability that extracts regularities from our environment and makes predictions about future events. Using functional magnetic resonance imaging, we aimed to probe how a wide range of brain areas are intertwined to support statistical learning, characterising its architecture in the whole-brain functional connectivity (FC). Participants performed a statistical learning task of temporally distributed regularities. We used refined behavioural learning scores to associate individuals' learning performances with the FC changed by statistical learning. As a result, the learning performance was mediated by the activation strength in the lateral occipital cortex, angular gyrus, precuneus, anterior cingulate cortex, and superior frontal gyrus. Through a group independent component analysis, activations of the superior frontal network showed the largest correlation with the statistical learning performances. Seed-to-voxel whole-brain and seed-to-ROI FC analyses revealed that the FC between the superior frontal gyrus and the salience, language, and dorsal attention networks were reduced during statistical learning. We suggest that the weakened functional connections between the superior frontal gyrus and brain regions involved in top-down control processes serve a pivotal role in statistical learning, supporting better processing of novel information such as the extraction of new patterns from the environment.

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Sprache(n): eng - English
 Datum: 2022-06-292022-04-012022-07-072022-07-092022-10-15
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1016/j.neuroimage.2022.119459
Anderer: epub 2022
PMID: 35820582
 Art des Abschluß: -

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Projektname : -
Grant ID : NRF-2019M3C7A1031995; NRF-2020R1A2C2099568
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Förderorganisation : National Research Foundation of Korea (NRF)
Projektname : -
Grant ID : 2017M3A9G8084463
Förderprogramm : -
Förderorganisation : Ministry of Science and ICT
Projektname : -
Grant ID : -
Förderprogramm : National Brain Research Program
Förderorganisation : -
Projektname : -
Grant ID : NKFIH-OTKA K 128016; NKFIH-OTKA PD 124148
Förderprogramm : -
Förderorganisation : Hungarian Scientific Research Fund
Projektname : -
Grant ID : ANR-16-IDEX-0005
Förderprogramm : -
Förderorganisation : University of Lyon

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Titel: NeuroImage
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: Orlando, FL : Academic Press
Seiten: - Band / Heft: 260 Artikelnummer: 119459 Start- / Endseite: - Identifikator: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166