Statistical parametric mapping of brain morphology: Sensitivity is dramatically increased by using brain-extracted images as inputs

@article{Fein2006StatisticalPM,
  title={Statistical parametric mapping of brain morphology: Sensitivity is dramatically increased by using brain-extracted images as inputs},
  author={George Fein and Bennett A. Landman and Hoang Tran and Jerome Barakos and Kirk Moon and Victoria Di Sclafani and Robert Shumway},
  journal={NeuroImage},
  year={2006},
  volume={30},
  pages={1187-1195}
}
A major attraction of voxel-based morphometry (VBM) is that it allows researchers to explore large datasets with minimal human intervention. However, the validity and sensitivity of the Statistical Parametric Mapping (SPM2) approach to VBM are the subject of considerable debate. We visually inspected the SPM2 gray matter segmentations for 101 research participants and found a gross inclusion of non-brain tissue surrounding the entire brain as gray matter in five subjects and focal areas… CONTINUE READING

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