Older is Order: Entropy reduction in cortical spontaneous activity marks healthy aging
Abstract
Entropy trajectories remain unclear for the aging process of human brain system due to the lacking of longitudinal neuroimaging resource. We used open data from an accelerated longitudinal cohort (PREVENT-AD) that included 24 healthy aging participants followed by 4 years with 5 visits per participant to establish cortical entropy aging curves and distinguish with the effects of age and cohort. This reveals that global cortical entropy decreased with aging, while a significant cohort effect was detectable that people who were born earlier showed higher cortical entropy. Such entropy reductions were also evident for large-scale cortical networks, although with different rates of reduction for different networks. Specifically, the primary and intermediate networks reduce their entropy faster than the higher-order association networks. We conclude two specific characteristics of the entropy of the human cortex with aging: the shift of the complexity hierarchy and the diversity of complexity strengthen.
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Research summary
The paper investigates the relationship between cortical entropy and aging, which is relevant to understanding the aging process of the human brain. However, while it provides insights into entropy changes associated with aging, it does not address root causes of aging or propose interventions for lifespan extension. The findings contribute to the field but are more of a solid research nature with limited broader implications.
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