|Analysis of Functional Connectivity Changes from Childhood to Old Age: A Study Using HCP-D, HCP-YA, and HCP-A Datasets
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We introduce a new clustering-enabled regression method to investigate how age aﬀects whole-brain functional connectivity (FC) in healthy individuals. By applying this method to combined fMRI data from three Human Connectome Project studies, we identify clusters of brain regions that share similar trajectories of FC changes from childhood to old age. Our ﬁndings reveal that age impacts FC in a varied manner across diﬀerent brain regions. Most brain connections experience practically ignorable, despite statistically signiﬁcant, FC changes with age. Only a tiny proportion of connections exhibit substantial age-related changes in FC. FC of these connections within the same brain system tends to decrease consistently over time, while FC between diﬀerent systems demonstrates diverse patterns of age-related changes, highlighting the complex process of brain changes with age. We also found that while young males and females have similar FC, it becomes increasingly diﬀerent as they age.