Keywords: fMRI Analysis, biomarkers, Cerebellum
Motivation: Aging results in cerebellar structural changes and associated behavioral changes, but cerebellar fMRI metrics remain unidentified.
Goal(s): Our goal was to detect aging changes using (fractional) Amplitude of Low Frequency Fluctuations ((f)ALFF) in the cerebellum, a structure critical for unconscious learning but often overlooked in fMRI studies.
Approach: Resting state fMRI data from the Human Connectome Project Young Adult (YA) and Aging (OA) datasets were used. (f)ALFF maps were normalized to the SUIT atlas. Group-level (f)ALFF differences and their reproducibility was assessed.
Results: Cerebellar fALFF is more repeatable than ALFF, but ALFF in anterior regions is significantly higher in YA than OA.
Impact: Cerebellar (f)ALFF reveals robust differences between young and older participants. This semi-quantitative, functional metric has potential to characterize healthy aging, which can be used to identify correlations with behavior related to the cerebellar function.
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