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Agreement in Reproducibility of Whole-brain Structural Connectivity Networks with Alternative Pipelines
November 10th, 2020
  • Filed
    November 10th, 2020

Background Mapping whole-brain structural connectivity using diffusion-weighted imaging has recently become a popular research topic in neuroscience. Here, the brain is considered as a network of white matter tracts linking grey matter regions. Connectivity between all regions is quantified using tractography techniques and network properties, describing the local and global topology of anatomical connections, can be derived using graph theoretical analysis [1]. Previous studies have shown that network properties such as global clustering coefficient and pathlength, are altered in neurological disease, meaning such network metrics may be useful biomarkers [2]. However, a variety of different methods may be used to reconstruct the structural network and there is no agreement on which method gives metrics of the highest anatomical relevance or is most sensitive to disease [3,4]. To address this issue, the reproducibility of network metrics obtained from two different reconstruction pipel

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