Brain connectivity signature ARC separates superagers from Alzheimer's patients with AUC 0.85 in fMRI study
Researchers used resting-state fMRI to define a connectivity signature that also split cognitively unimpaired adults into subgroups with different rates of cognitive decline.

A research team reported in Science Advances a functional connectivity signature, termed Alzheimer's-resilient connectome (ARC), that differentiates superagers from age-matched patients with Alzheimer's disease (AD) doi.org
Science Advancesdoi.orgOpen source ↗. Superagers are older adults who maintain youthful memory into late life. The signature was derived from resting-state fMRI in a discovery cohort of 290 people using machine learning classifiers, which distinguished superagers from AD with AUC = 0.85
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Science Advancesdoi.orgOpen source ↗. The result was validated in an independent replication cohort of 143 people
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Networks and brain age
According to the authors, ARC involved prefrontal, temporal and insular networks and was strongly associated with brain age doi.org
Science Advancesdoi.orgOpen source ↗. The team then applied it to cognitively unimpaired adults: 818 in the discovery cohort and 497 in the replication cohort. ARC-based subtyping revealed superager-like and AD-like subgroups. At baseline they had similar cognitive performance, but their longitudinal trajectories diverged markedly
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Follow-up outcomes and genetics
Superager-like individuals showed slower cognitive decline and reduced amyloid-β accumulation. They also had a lower risk of conversion to mild cognitive impairment and AD doi.org
Science Advancesdoi.orgOpen source ↗. A genome-wide association analysis identified CLYBL and FRMD6 as novel genetic modulators associated with these divergent aging phenotypes
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The authors describe ARC as a sensitive and generalizable biomarker of resilience that could enable early risk stratification. The work is an analysis of cohort data; no intervention was tested.



