Kernbach, Julius M., Thomas Yeo, B. T., Smallwood, Jonathan orcid.org/0000-0002-7298-2459 et al. (9 more authors) (2018) Subspecialization within default mode nodes characterized in 10,000 UK Biobank participants. Proceedings of the National Academy of Sciences of the United States of America. pp. 12295-12300. ISSN 1091-6490
Abstract
The human default mode network (DMN) is implicated in several unique mental capacities. In this study, we tested whether brain-wide interregional communication in the DMN can be derived from population variability in intrinsic activity fluctuations, gray-matter morphology, and fiber tract anatomy. In a sample of 10,000 UK Biobank participants, pattern-learning algorithms revealed functional coupling states in the DMN that are linked to connectivity profiles between other macroscopical brain networks. In addition, DMN gray matter volume was covaried with white matter microstructure of the fornix. Collectively, functional and structural patterns unmasked a possible division of labor within major DMN nodes: Subregions most critical for cortical network interplay were adjacent to subregions most predictive of fornix fibers from the hippocampus that processes memories and places.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 the Author(s). |
Keywords: | High-level cognition,Machine learning,Systems neuroscience |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Psychology (York) |
Depositing User: | Pure (York) |
Date Deposited: | 19 Feb 2019 15:00 |
Last Modified: | 16 Oct 2024 15:30 |
Published Version: | https://doi.org/10.1073/pnas.1804876115 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1073/pnas.1804876115 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:142771 |