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- W4368618051 abstract "Systematic changes have been observed in the functional architecture of the human brain with advancing age. However, functional connectivity (FC) is also a powerful feature to detect unique connectome fingerprints, allowing identification of individuals among their peers. Although fingerprinting has been robustly observed in samples of young adults, the reliability of this approach has not been demonstrated across the lifespan. We applied the fingerprinting framework to the Cambridge Centre for Ageing and Neuroscience cohort (n = 483 aged 18 to 89 years). We found that individuals are fingerprintable (i.e., identifiable) across independent functional MRI scans throughout the lifespan. We observed a U-shape distribution in the strength of self-identifiability (within-individual correlation across modalities), and others-identifiability (between-individual correlation across modalities), with a decrease from early adulthood into middle age, before improving in older age. FC edges contributing to self-identifiability were not restricted to specific brain networks and were different between individuals across the lifespan sample. Self-identifiability was additionally associated with regional brain volume. These findings indicate that individual participant-level identification is preserved across the lifespan despite the fact that its components are changing nonlinearly." @default.
- W4368618051 created "2023-05-05" @default.
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- W4368618051 date "2023-01-01" @default.
- W4368618051 modified "2023-10-17" @default.
- W4368618051 title "Functional connectome fingerprinting across the lifespan" @default.
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- W4368618051 doi "https://doi.org/10.1162/netn_a_00320" @default.
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