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Tangent functional connectomes uncover more unique phenotypic traits
(ii) In tangent-FCs, Main-diagonal regularization prior to tangent space projection was critical for ID rate when using Euclidean distance, whereas barely affected ID rates when using correlation distance.
Investigating cognitive ability using action-based models of structural brain networks
In this research, we propose variants of the action-based model that combine a variety of generative factors capable of explaining the topology of the human connectome.
Functional Connectome Fingerprint Gradients in Young Adults
Our differential identifiability results show that the fingerprint gradients based on genetic and environmental similarities are indeed present when comparing FCs for all parcellations and fMRI conditions.
Geodesic distance on optimally regularized functional connectomes uncovers individual fingerprints
Thus, an optimal regularization must be estimated on each dataset to uncover the most differentiable across-subject and reproducible within-subject geodesic distances between FCs.
