Within-subject transformations of PET regional cerebral blood flow data: ANCOVA, ratio, and Z-score adjustments on empirical data.

@article{McIntosh1996WithinsubjectTO,
  title={Within-subject transformations of PET regional cerebral blood flow data: ANCOVA, ratio, and Z-score adjustments on empirical data.},
  author={Anthony R. McIntosh and Cheryl L. Grady and James V. Haxby and J. M. Maisog and Barry Horwitz and Christopher M. Clark},
  journal={Human brain mapping},
  year={1996},
  volume={4 2},
  pages={93-102}
}
In the statistical analysis of PET rCBF data, it has become routine to use a mathematical transformation to reduce individual differences in global metabolic rate and increase the power of statistical tests. Two methods of adjustment have been proposed: the ratio adjustment, dividing rCBF for a brain region by the whole-brain average CBF, and the ANCOVA adjustment based on a regression model. We compared these two transformations on the empirically derived PET data sets to assess which of these… CONTINUE READING

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