@article{500567e75f65458891c0f6de1ed2489f,
title = "Resting-state fMRI can reliably map neural networks in children",
abstract = "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 1-Time 2 (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.",
author = "Thomason, {Moriah E.} and Dennis, {Emily L.} and Joshi, {Anand A.} and Joshi, {Shantanu H.} and Dinov, {Ivo D.} and Catie Chang and Henry, {Melissa L.} and Johnson, {Rebecca F.} and Thompson, {Paul M.} and Toga, {Arthur W.} and Glover, {Gary H.} and {Van Horn}, {John D.} and Gotlib, {Ian H.}",
note = "Funding Information: This project was partially supported by awards from the National Institute of Health ( F32-MH081583 to MET, F31-AG032168 to CC, P41-RR009784 to GHG, RO1-MH074849 to IHG, U54-RR021813 and P41-RR013642 to AWT), National Science Foundation ( 0716055 and 0442992 to IDD), and by a NARSAD Young Investigator Award to MET. PT is supported by HD050735 , AG016570 , EB008432 , EB008281 , EB007813 , and AG036535 . The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The authors thank Sarah Victor and Hannah Kang for their assistance in acquiring the scan data, and Yamanda Wright, Hannah Burley, and Lindsey Sherdell for their assistance in participant recruitment, screening, and conducting structured behavioral interviews. Finally, the authors thank the participants and their families for contributing their time and perspectives to this study.",
year = "2011",
month = mar,
day = "1",
doi = "10.1016/j.neuroimage.2010.11.080",
language = "English",
volume = "55",
pages = "165--175",
journal = "NeuroImage",
issn = "1053-8119",
publisher = "Academic Press Inc.",
number = "1",
}