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Abstract #3562

Characterizing age-related changes in cerebellar BOLD low frequency fluctuations

Jessica Anne Korte1, Wilsaan M Joiner1,2,3, and Audrey P. Fan1,3
1Biomedical Engineering, Univ. of California, Davis, Davis, CA, United States, 2Neurobiology, Physiology, and Behavior, Univ. of California, Davis, Davis, CA, United States, 3Neurology, Univ. of California, Davis, Davis, CA, United States

Synopsis

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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Keywords