期刊
JOURNAL OF NEUROSCIENCE
卷 39, 期 31, 页码 6136-6149出版社
SOC NEUROSCIENCE
DOI: 10.1523/JNEUROSCI.2912-18.2019
关键词
brain structure; cerebellum; cortical area; default-mode network; gray matter volume; visual areas
资金
- Medical Research Council (MRC Career Development Fellowships) [MR/K006673/1, MR/L009013/1]
- Research Council of Norway [230345/F20, 249795/F20]
- South-Eastern Norway Regional Health Authority [2014097]
- Wellcome Strategic Award [098369/Z/12/Z]
- Wellcome [100309/Z/12/Z, 110027/Z/15/Z]
- SSNAP Support for the Sick Newborn and their Parents Medical Research Fund
- Wellcome Trust [203139/Z/16/Z]
- Wellcome Trust [110027/Z/15/Z, 100309/Z/12/Z, 098369/Z/12/Z] Funding Source: Wellcome Trust
- MRC [MR/K006673/1, MR/L009013/1] Funding Source: UKRI
Human brain structure topography is thought to be related in part to functional specialization. However, the extent of such relationships is unclear. Here, using a data-driven, multimodal approach for studying brain structure across the lifespan (N = 484, n = 260 females), we demonstrate that numerous structural networks, covering the entire brain, follow a functionally meaningful architecture. These gray matter networks (GMNs) emerge from the covariation of gray matter volume and cortical area at the population level. We further reveal fine-grained anatomical signatures of functional connectivity. For example, within the cerebellum, a structural separation emerges between lobules that are functionally connected to distinct, mainly sensorimotor, cognitive and limbic regions of the cerebral cortex and subcortex. Structural modes of variation also replicate the fine-grained functional architecture seen in eight well defined visual areas in both task and resting-state fMRI. Furthermore, our study shows a structural distinction corresponding to the established segregation between anterior and posterior default-mode networks (DMNs). These fine-grained GMNs further cluster together to form functionally meaningful larger-scale organization. In particular, we identify a structural architecture bringing together the functional posterior DMN and its anticorrelated counterpart. In summary, our results demonstrate that the relationship between structural and functional connectivity is fine-grained, widespread across the entire brain, and driven by covariation in cortical area, i.e. likely differences in shape, depth, or number of foldings. These results suggest that neurotrophic events occur during development to dictate that the size and folding pattern of distant, functionally connected brain regions should vary together across subjects.
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