Reduced functional connectivity supports statistical learning of temporally distributed regularities
Park, Jungtak, Janacsek, Karolina ORCID: https://orcid.org/0000-0001-7829-8220, Nemeth, Dezso and Jeon, Hyeon-Ae (2022) Reduced functional connectivity supports statistical learning of temporally distributed regularities. NeuroImage, 260:119459. ISSN 1053-8119 (Print), 1095-9572 (Online) (doi:10.1016/j.neuroimage.2022.119459)
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Abstract
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.
Item Type: | Article |
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Uncontrolled Keywords: | statistical learning; implicit learning; functional connectivity; fMRI; competition; frontal cortex |
Subjects: | H Social Sciences > HA Statistics L Education > L Education (General) R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry |
Faculty / School / Research Centre / Research Group: | Faculty of Education, Health & Human Sciences Faculty of Education, Health & Human Sciences > Institute for Lifecourse Development Faculty of Education, Health & Human Sciences > Institute for Lifecourse Development > Centre for Thinking and Learning Faculty of Education, Health & Human Sciences > School of Human Sciences (HUM) |
Last Modified: | 06 Oct 2022 08:57 |
URI: | http://gala.gre.ac.uk/id/eprint/37707 |
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