期刊
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
卷 115, 期 48, 页码 12295-12300出版社
NATL ACAD SCIENCES
DOI: 10.1073/pnas.1804876115
关键词
systems neuroscience; high-level cognition; machine learning
资金
- Singapore National Research Foundation Fellowship
- Amazon Web Service
- Deutsche Forschungsgemeinschaft [BZ2/2-1, BZ2/3-1, BZ2/4-1, IRTG2150]
- NATIONAL INSTITUTE ON AGING [R21AG050122, R01AG053949] Funding Source: NIH RePORTER
- NATIONAL LIBRARY OF MEDICINE [R01LM012719] Funding Source: NIH RePORTER
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.
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