The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Evidence from intrinsic activity that asymmetry of the human brain is controlled by multiple factors
Open accessAbstract
Cerebral lateralization is a fundamental property of the human brain and a marker of successful development. Here we provide evidence that multiple mechanisms control asymmetry for distinct brain systems. Using intrinsic activity to measure asymmetry in 300 adults, we mapped the most strongly lateralized brain regions. Both men and women showed strong asymmetries with a significant, but small, group difference. Factor analysis on the asymmetric regions revealed 4 separate factors that each accounted for significant variation across subjects. The factors were associated with brain systems involved in vision, internal thought (the default network), attention, and language. An independent sample of right- and left-handed individuals showed that hand dominance affects brain asymmetry but differentially across the 4 factors supporting their independence. These findings show the feasibility of measuring brain asymmetry using intrinsic activity fluctuations and suggest that multiple genetic or environmental mechanisms control cerebral lateralization.
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Cites
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The Brain's Default Network: Anatomy, Function, and Relevance to Disease
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Self-citationSpontaneous fluctuations in brain activity observed with functional magnetic resonance imaging
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Self-citationSpontaneous neuronal activity distinguishes human dorsal and ventral attention systems
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Coherent spontaneous activity identifies a hippocampal-parietal memory network
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Self-citationAbnormal asymmetry in language association cortex in autism
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Dynamic functional connectivity: Promise, issues, and interpretations
Hutchison, R. M., Womelsdorf, T., Allen, E. A., Bandettini, P. A., Calhoun, V. D., Corbetta, M., Della Penna, S., Duyn, J. H., Glover, G. H., Gonzalez-Castillo, J., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.079 · Cited by 2,962
Toward discovery science of human brain function
Biswal, B. B., Mennes, M., Zuo, X.-N., Gohel, S., Kelly, C., Smith, S. M., Beckmann, C. F., Adelstein, J. S., Buckner, R. L., Colcombe, S., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0911855107 · Cited by 2,970
Self-citationFunctional-anatomic fractionation of the brain’s default network
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Self-citationExploring the network dynamics underlying brain activity during rest
Cabral, J., Kringelbach, M. L., & Deco, G. (2014) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2013.12.005 · Cited by 351
Metadata
- Authors
- Liu, H., Stufflebeam, S. M., Sepulcre, J., Hedden, T., & Buckner, R. L.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2009-12
- Volume
- 106
- Issue
- 48
- Pages
- 20499-20503
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2105435743
- Cited by
- 408
- References
- 9
- FWCI
- 6.39
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
