UC Berkeley - FDG analysis

data(ucberkeleyfdg)

Format

A data frame with 18170 rows and 15 variables

See also

https://adni.bitbucket.io/reference/docs/UCBERKELEYFDG/ADNI_FDG_Methods_JagustLab_10.22.12.pdf

A dataset with variables as follows:

  • RID -4 -4 Participant roster ID

  • VISCODE T Visit code

  • VISCODE2 -4 -4 Translated visit code

  • EXAMDATE D Examination Date

  • UID T

  • ROINAME T Location of Meta ROI (for methods, see Landau et al., Neurology, 2010 or email slandau@berkeley.edu)

  • ROILAT T Laterality of ROI

  • MEAN N glucose metabolism normalized to pons mean of FDG-PET within ROI

  • MEDIAN N glucose metabolism normalized to pons median of FDG-PET within ROI

  • MODE N glucose metabolism normalized to pons mode of FDG-PET within ROI

  • MIN N glucose metabolism normalized to pons min of FDG-PET within ROI

  • MAX N glucose metabolism normalized to pons max of FDG-PET within ROI

  • STDEV N glucose metabolism normalized to pons standard deviation of FDG-PET within ROI

  • NANVOX N voxels total number of zero or NaN voxels within ROI

  • TOTVOX N voxels total number of voxels within ROI

Examples