Reproducibility of graph metrics of human brain structural networks

@inproceedings{Duda2014ReproducibilityOG,
  title={Reproducibility of graph metrics of human brain structural networks},
  author={Jeffrey T. Duda and Philip A. Cook and James C. Gee},
  booktitle={Front. Neuroinform.},
  year={2014}
}
  • Jeffrey T. Duda, Philip A. Cook, James C. Gee
  • Published in Front. Neuroinform. 2014
  • Computer Science, Medicine
  • Recent interest in human brain connectivity has led to the application of graph theoretical analysis to human brain structural networks, in particular white matter connectivity inferred from diffusion imaging and fiber tractography. While these methods have been used to study a variety of patient populations, there has been less examination of the reproducibility of these methods. A number of tractography algorithms exist and many of these are known to be sensitive to user-selected parameters… CONTINUE READING

    Create an AI-powered research feed to stay up to date with new papers like this posted to ArXiv

    Citations

    Publications citing this paper.
    SHOWING 1-10 OF 17 CITATIONS

    Probing the reproducibility of quantitative estimates of structural connectivity derived from global tractography

    VIEW 5 EXCERPTS
    CITES METHODS & BACKGROUND
    HIGHLY INFLUENCED

    Reproducibility and intercorrelation of graph theoretical measures in structural brain connectivity networks

    VIEW 1 EXCERPT
    CITES BACKGROUND

    Structural white matter networks in myotonic dystrophy type 1

    VIEW 2 EXCERPTS
    CITES BACKGROUND

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 61 REFERENCES

    Complex network measures of brain

    • O. Sporns
    • 2010
    VIEW 4 EXCERPTS
    HIGHLY INFLUENTIAL

    Reproducibility of Graph Metrics in fMRI Networks

    VIEW 2 EXCERPTS
    HIGHLY INFLUENTIAL

    Collective dynamics of ’small-world

    • D. J. Watts, S. H. Strogatz
    • 1998
    VIEW 5 EXCERPTS
    HIGHLY INFLUENTIAL