Individual uniqueness of connectivity gradients is driven by the complexity of the embedded networks and their dispersion.

ABSTRACT: Connectivity gradients are widely used to characterize meaningful principles of functional brain organization in health and disease. However, the degree of individual uniqueness and shared common principles is not yet fully understood. Here, we leveraged the Hangzhou test-retest dataset, comprising repeated resting-state fMRI scans over the span of 1 month, to investigate the balance between individual variation and shared patterns of brain organization. We quantified the short- and long-term stability for the first three connectivity gradients and used connectome fingerprinting to establish the associated individual identification rate. We found that all three connectivity gradients are highly correlated over both short and long time intervals, demonstrating connectome fingerprinting util

SUBMITTER: Serhan Y 

PROVIDER: S-EPMC12226633 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature