An evaluation of Z-transform algorithms for identifying subject-specific abnormalities in neuroimaging data.

The need for algorithms that capture subject-specific abnormalities (SSA) in neuroimaging data is increasingly recognized across many neuropsychiatric disorders. However, the effects of initial distributional properties (e.g., normal versus non-normally distributed data), sample size, and typical pr...

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Bibliographic Details

Published in:	Brain Imaging & Behavior Vol. 12; no. 2; pp. 437 - 449
Main Authors:	Mayer, Andrew R., Dodd, Andrew B., Ling, Josef M., Wertz, Christopher J., Shaff, Nicholas A., Bedrick, Edward J., Viamonte, Carlo
Format:	Journal Article
Published:	Springer Nature Apr2018
Online Access:	View this record in EBSCOhost