Correction: An Automated, Adaptive Framework for Optimizing Preprocessing Pipelines in Task-Based Functional MRI

@inproceedings{Churchill2015CorrectionAA,
  title={Correction: An Automated, Adaptive Framework for Optimizing Preprocessing Pipelines in Task-Based Functional MRI},
  author={Nathan William Churchill and Robyn Spring and Babak Afshin-Pour and Fan Dong and Stephen C. Strother},
  booktitle={PloS one},
  year={2015}
}
BOLD fMRI is sensitive to blood-oxygenation changes correlated with brain function; however, it is limited by relatively weak signal and significant noise confounds. Many preprocessing algorithms have been developed to control noise and improve signal detection in fMRI. Although the chosen set of preprocessing and analysis steps (the “pipeline”) significantly affects signal detection, pipelines are rarely quantitatively validated in the neuroimaging literature, due to complex preprocessing… CONTINUE READING

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