Resting-state fMRI can reliably map neural networks in children

被引:132
作者
Thomason, Moriah E. [1 ,6 ]
Dennis, Emily L. [2 ]
Joshi, Anand A. [2 ,3 ]
Joshi, Shantanu H. [2 ,3 ]
Dinov, Ivo D. [2 ,3 ]
Chang, Catie [4 ]
Henry, Melissa L. [5 ]
Johnson, Rebecca F. [5 ]
Thompson, Paul M. [2 ,3 ]
Toga, Arthur W. [2 ,3 ]
Glover, Gary H. [4 ]
Van Horn, John D. [2 ,3 ]
Gotlib, Ian H. [5 ]
机构
[1] Wayne State Univ, Dept Pediat, Merrill Palmer Skillman Inst, Sch Med, Detroit, MI 48202 USA
[2] Univ Calif Los Angeles, David Geffen Sch Med, Dept Neurol, Lab Neuro Imaging LONI, Los Angeles, CA 90095 USA
[3] Univ Calif Los Angeles, Ctr Computat Biol, Los Angeles, CA USA
[4] Stanford Univ, Sch Med, Dept Radiol, Stanford, CA 94305 USA
[5] Stanford Univ, Dept Psychol, Stanford, CA 94305 USA
[6] Wayne State Univ, Merrill Palmer Skillman Inst Child & Family Dev, Detroit, MI 48202 USA
基金
美国国家科学基金会;
关键词
FUNCTIONAL CONNECTIVITY; BOLD FMRI; DEFAULT NETWORK; SPIRAL-IN/OUT; BRAIN; SIGNAL; ANTICORRELATIONS; ADOLESCENCE; INFERENCES; MRI;
D O I
10.1016/j.neuroimage.2010.11.080
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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. (c) 2010 Elsevier Inc. All rights reserved.
引用
收藏
页码:165 / 175
页数:11
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