The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.įunding: This research is supported in part by National Institutes of Health grant National Institute of Neurological Disorders and Stroke NS35115. Received: ApAccepted: SeptemPublished: October 25, 2012Ĭopyright: © 2012 Huang et al. Institute of Psychology, Chinese Academy of Sciences, China The proposed frame work of imaging metrics should be used to perform daily quality assurance testing and incorporated into multi-center studies.Ĭitation: Huang L, Wang X, Baliki MN, Wang L, Apkarian AV, Parrish TB (2012) Reproducibility of Structural, Resting-State BOLD and DTI Data between Identical Scanners. We achieved consistent measures for the proposed metrics: structural (mean volume in specific regions and stretch factor), functional (temporal Signal-to-Noise ratio), diffusion (mean Fractional Anisotropy and Mean Diffusivity in multiple regions). We propose a framework and specific metrics to quantify the reproducibility and image quality for neuroimaging studies (structural, BOLD and Diffusion Tensor Imaging) collected across identical scanners and following a major hardware repair (gradient coil replacement). Careful investigation of the test-retest reliability and image quality of inter- or intra- scanner neuroimaging measurements are critical in the design, statistical analysis and interpretation of results. Increasingly, clinical trials based on brain imaging are adopting multiple sites/centers to increase their subject pool and to expedite the studies, and more longitudinal studies are using multiple imaging methods to assess structural and functional changes.
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