Quantifying the reliability of image replication studies: the image intraclass correlation coefficient (I2C2).
Quantifying the reliability of image replication studies: the image intraclass correlation coefficient (I2C2).
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DOI：
10.3758/s13415-013-0196-0
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发表时间：
2013-12
期刊：
影响因子：
--
通讯作者：
Crainiceanu CM
中科院分区：
文献类型：
--
作者：
Shou H;Eloyan A;Lee S;Zipunnikov V;Crainiceanu AN;Nebel NB;Caffo B;Lindquist MA;Crainiceanu CM
This manuscript proposes the image intra-class correlation (I2C2) coefficient as a global measure of reliability for imaging studies. The I2C2 generalizes the classic intra-class correlation (ICC) coefficient to the case when the data of interest are images, thereby providing a measure that is both intuitive and convenient. Drawing a connection with classical measurement error models for replication experiments, the I2C2 can be computed quickly, even in high-dimensional imaging studies. A nonparametric bootstrap procedure is introduced to quantify the variability of the I2C2 estimator. Furthermore, a Monte Carlo permutation is utilized to test reproducibility versus a zero I2C2, representing complete lack of reproducibility. Methodologies are applied to three replication studies arising from different brain imaging modalities and settings: Regional Analysis of VolumEs in Normalized Space (RAVENS) imaging for characterizing brain morphology, seed-voxel brain activation maps based on resting state functional MRI (fMRI), and fractional anisotropy (FA) in an area surrounding the corpus callosum via diffusion tensor imaging (DTI). Software and data are provided to ensure rapid dissemination of methods. Resting state functional MRI (fMRI) brain activation maps are found to have low reliability ranging between 0.2 to 0.4.
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DOI：
10.1073/pnas.0504136102
发表时间：
2005-07-05
影响因子：
11.1
作者：
Fox, MD;Snyder, AZ;Raichle, ME
通讯作者：
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影响因子：
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通讯作者：
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影响因子：
5.7
作者：
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通讯作者：
Reich, Daniel S.
影响因子：
5.7
作者：
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通讯作者：
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DOI：
10.1073/pnas.0811168106
发表时间：
2009-02-10
影响因子：
11.1
作者：
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通讯作者：
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