The DOI matches its Crossref record; 95 of the 95 references it cites were found in a registry or an index.
Gradients of structure–function tethering across neocortex
Open accessAbstract
The white matter architecture of the brain imparts a distinct signature on neuronal coactivation patterns. Interregional projections promote synchrony among distant neuronal populations, giving rise to richly patterned functional networks. A variety of statistical, communication, and biophysical models have been proposed to study the relationship between brain structure and function, but the link is not yet known. In the present report we seek to relate the structural and functional connection profiles of individual brain areas. We apply a simple multilinear model that incorporates information about spatial proximity, routing, and diffusion between brain regions to predict their functional connectivity. We find that structure–function relationships vary markedly across the neocortex. Structure and function correspond closely in unimodal, primary sensory, and motor regions, but diverge in transmodal cortex, particularly the default mode and salience networks. The divergence between structure and function systematically follows functional and cytoarchitectonic hierarchies. Altogether, the present results demonstrate that structural and functional networks do not align uniformly across the brain, but gradually uncouple in higher-order polysensory areas.
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The organization of the human cerebral cortex estimated by intrinsic functional connectivity
Thomas Yeo, B. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., Roffman, J. L., Smoller, J. W., Zöllei, L., Polimeni, J. R., et al. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00338.2011 · Cited by 9,182
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The organization of the human cerebellum estimated by intrinsic functional connectivity
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The ENIGMA Toolbox: multiscale neural contextualization of multisite neuroimaging datasets
Larivière, S., Paquola, C., Park, B.-Y., Royer, J., Wang, Y., Benkarim, O., Vos de Wael, R., Valk, S. L., Thomopoulos, S. I., Kirschner, M., et al. (2021) · Nature Methods · doi:10.1038/s41592-021-01186-4 · Cited by 269
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Metadata
- Authors
- Vázquez-Rodríguez, B., Suárez, L. E., Markello, R. D., Shafiei, G., Paquola, C., Hagmann, P., van den Heuvel, M. P., Bernhardt, B. C., Spreng, R. N., & Misic, B.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2019-09-30
- Volume
- 116
- Issue
- 42
- Pages
- 21219-21227
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2978356506
- Cited by
- 489
- References
- 95
- FWCI
- 25.96
- Type
- journal article
- Language
- en
- Open access
- hybrid
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