Correlational analysis of cerebral metabolic (rCMRglc) data obtained w
ith positron emission tomography (PET) assesses group differences and
has demonstrated reduced frontal-parietal rCMRglc interdependencies in
Alzheimer's disease (AD). A multivariate analysis of rCMRglc data ass
esses individual differences. We recently identified discriminant func
tions, reflecting frontal-parietal rCMRglc interdependencies, that sep
arated AD from control subjects. To test if the functions would identi
fy an AD rCMRglc pattern in older Down syndrome (DS) adults with (DS D
AT+) or without (DS DAT-) dementia, we applied the functions to longit
udinal rCMRglc data in: young DS (n = 15), DS DAT- (n = 10), DS DAT+ (
n = 4), and young controls (n = 15). Ah DS DAT+ and some of the later
DS DAT- scans were classified as AD. The results provide additional va
lidation of the functions and suggest their utility for the early dete
ction of AD.