Interregional causal influences of brain metabolic activity reveal the spread of aging effects during normal aging.

ABSTRACT: During healthy brain aging, different brain regions show anatomical or functional declines at different rates, and some regions may show compensatory increases in functional activity. However, few studies have explored interregional influences of brain activity during the aging process. We proposed a causality analysis framework combining high dimensionality independent component analysis (ICA), Granger causality, and least absolute shrinkage and selection operator regression on longitudinal brain metabolic activity data measured by Fludeoxyglucose positron emission tomography (FDG-PET). We analyzed FDG-PET images from healthy old subjects, who were scanned for at least five sessions with an averaged intersession interval of 1 year. The longitudinal data were concatenated across subjects t

SUBMITTER: Di X 

PROVIDER: S-EPMC6865473 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature