The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Resting-state fMRI can reliably map neural networks in children
Open accessAbstract
Resting-state MRI (rs-fMRI) is a powerful procedure for studying whole brain neural connectivity. In this study we provide the first empirical evidence of the longitudinal reliability of rs-fMRI in children. We compared rest-retest measurements across spatial, temporal, and frequency domains for each of six cognitive and sensorimotor intrinsic connectivity networks (ICNs) both within and between scan sessions. Using Kendall’s W, concordance of spatial maps ranged from .60 to .86 across networks, for various derived measures. The Pearson correlation coefficient for temporal coherence between networks across all Time one - Time two (T1/T2) z-converted measures was .66 (p<.001). There were no differences between T1/T2 measurements in low-frequency power of the ICNs. For the visual network, within-session T1 correlated with the T2 low-frequency power, across participants. These measures from resting-state data in children were consistent across multiple domains (spatial, temporal, and frequency). Resting-state connectivity is therefore a reliable method for assessing large-scale brain networks in children.
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Cited by
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Clinical applications of the functional connectome
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Metadata
- Authors
- Thomason, M. E., Dennis, E. L., Joshi, A. A., Joshi, S. H., Dinov, I. D., Chang, C., Henry, M. L., Johnson, R. F., Thompson, P. M., Toga, A. W., Glover, G. H., Van Horn, J. D., & Gotlib, I. H.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2011-03
- Volume
- 55
- Issue
- 1
- Pages
- 165-175
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2123097685
- Cited by
- 163
- References
- 20
- FWCI
- 5.43
- Type
- journal article
- Language
- en
- Open access
- green
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- Thomason, M. E., Dennis, E. L., Joshi, A. A., Joshi, S. H., Dinov, I. D., Chang, C., Henry, M. L., Johnson, R. F., Thompson, P. M., Toga, A. W., Glover, G. H., Van Horn, J. D., & Gotlib, I. H. (2011). Resting-state fMRI can reliably map neural networks in children. NeuroImage. https://doi.org/10.1016/j.neuroimage.2010.11.080
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