The DOI matches its Crossref record; 79 of the 79 references it cites were found in a registry or an index.
Development of the social brain from age three to twelve years
Open accessAbstract
Human adults recruit distinct networks of brain regions to think about the bodies and minds of others. This study characterizes the development of these networks, and tests for relationships between neural development and behavioral changes in reasoning about others’ minds (‘theory of mind’, ToM). A large sample of children (n = 122, 3–12 years), and adults (n = 33), watched a short movie while undergoing fMRI. The movie highlights the characters’ bodily sensations (often pain) and mental states (beliefs, desires, emotions), and is a feasible experiment for young children. Here we report three main findings: (1) ToM and pain networks are functionally distinct by age 3 years, (2) functional specialization increases throughout childhood, and (3) functional maturity of each network is related to increasingly anti-correlated responses between the networks. Furthermore, the most studied milestone in ToM development, passing explicit false-belief tasks, does not correspond to discontinuities in the development of the social brain.
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Cites
Wimmer, H. (1983) · Cognition · doi:10.1016/0010-0277(83)90004-5 · Cited by 6,305
A component based noise correction method (CompCor) for BOLD and perfusion based fMRI
Behzadi, Y., Restom, K., Liau, J., & Liu, T. T. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.04.042 · Cited by 4,502
Meta-Analysis of Theory-of-Mind Development: The Truth about False Belief
Wellman, H. M., Cross, D., & Watson, J. (2001) · Child Development · doi:10.1111/1467-8624.00304 · Cited by 4,476
Conceptual Change in Childhood
Carey, S. E. (1985) · Medical Entomology and Zoology · Cited by 3,850
Meeting of minds: the medial frontal cortex and social cognition
Amodio, D. M., & Frith, C. D. (2006) · Nature Reviews Neuroscience · doi:10.1038/nrn1884 · Cited by 3,782
Statistical Parametric Mapping: The Analysis of Functional Brain Images
Penny, W. D., Friston, K. J., Ashburner, J., Kiebel, S. J., & Thomas, N. (2007) · UCL Discovery (University College London) · Cited by 3,339
People thinking about thinking peopleThe role of the temporo-parietal junction in “theory of mind”
Saxe, R., & Kanwisher, N. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00230-1 · Cited by 2,316
Self-citationFunctional imaging of ‘theory of mind’
Gallagher, H. L., & Frith, C. D. (2003) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(02)00025-6 · Cited by 2,092
Scaling of theory-of-mind tasks.
Wellman, H. M., & Liu, D. (2004) · Child Development · doi:10.1111/j.1467-8624.2004.00691.x · Cited by 1,980
The social brain in adolescence
Blakemore, S.-J. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2353 · Cited by 1,896
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Brain charts for the human lifespan
Bethlehem, R. A. I., Seidlitz, J., White, S. R., Vogel, J. W., Anderson, K. M., Adamson, C., Adler, S., Alexopoulos, G. S., Anagnostou, E., Areces-Gonzalez, A., et al. (2022) · Nature · doi:10.1038/s41586-022-04554-y · Cited by 1,794
Idiosynchrony: From shared responses to individual differences during naturalistic neuroimaging
Finn, E. S., Glerean, E., Khojandi, A. Y., Nielson, D., Molfese, P. J., Handwerker, D. A., & Bandettini, P. A. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116828 · Cited by 269
Movies in the magnet: Naturalistic paradigms in developmental functional neuroimaging
Vanderwal, T., Eilbott, J., & Castellanos, F. X. (2019) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.10.004 · Cited by 265
Evaluating large language models in theory of mind tasks
Kosinski, M. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2405460121 · Cited by 339
Evaluating Large Language Models in Theory of Mind Tasks
Kosinski, M. (2023) · arXiv · doi:10.48550/arxiv.2302.02083 · Cited by 339
Metadata
- Authors
- Richardson, H., Lisandrelli, G., Riobueno-Naylor, A., & Saxe, R.
- Venue
- Nature Communications
- Published
- 2018-03-12
- Volume
- 9
- Issue
- 1
- Pages
- 1027-1027
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2792496527
- Cited by
- 336
- References
- 79
- FWCI
- 58.11
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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