Corpus ID: 208247929

Uncovering differential identifiability in network properties of human brain functional connectomes.

@inproceedings{Rajapandian2019UncoveringDI,
  title={Uncovering differential identifiability in network properties of human brain functional connectomes.},
  author={Meenusree Rajapandian and Enrico Amico and Kausar Abbas and Mario Ventresca and Joaqu{\'i}n Go{\~n}i},
  year={2019}
}
  • Meenusree Rajapandian, Enrico Amico, +2 authors Joaquín Goñi
  • Published 2019
  • Biology, Mathematics
  • The Identifiability Framework (If) has been shown to improve differential identifiability (reliability across-sessions and -sites, and differentiability across-subjects) of functional connectomes for a variety of fMRI tasks. But having a robust single session/subject functional connectome is just the starting point to subsequently assess network properties for characterizing properties of integration, segregation and communicability, among others. Naturally, one wonders if uncovering… CONTINUE READING

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