U Pitt PIB PET Analysis

data(pibpetsuvr)

Format

A data frame with 224 rows and 21 variables

See also

https://adni.bitbucket.io/reference/docs/PIBPETSUVR/UPitt_PIBPET_AD_ROI.pdf, https://adni.bitbucket.io/reference/docs/PIBPETSUVR/UPitt_PIBPET_MCI_ROI.pdf, https://adni.bitbucket.io/reference/docs/PIBPETSUVR/UPitt_PIBPET_NL_ROI.pdf

A dataset with variables as follows:

  • RID N -4 Participant roster ID

  • VISCODE T -4 Visit code

  • EXAMDATE D -4 Examination Date

  • IMAGEUID T -4 -4

  • LONISID T -4 -4

  • LONIUID T -4 -4

  • ACG N -4 Anterior cingulate

  • FRC N -4 Frontal cortex

  • LTC N -4 Lateral temporal cortex

  • PAR N -4 Parietal cortex

  • PRC N -4 Precuneus cortex

  • MTC N -4 Mesial temporal cortex

  • OCC N -4 Occipital cortex

  • OCP N -4 Occipital pole

  • PON N -4 Pons

  • AVS N -4 Anterior ventral striatum

  • CER N -4 Cerebellum

  • SMC N -4 Sensory motor cortex

  • SWM N -4 Sub-cortical white matter

  • THL N -4 Thalamus

Examples

pibpetsuvr$PIBp = apply(pibpetsuvr[, c('FRC', 'ACG', 'PRC', 'PAR')], 1, mean) > 1.5