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Reproducibility of graph measures at the subject level using resting-state fMRI.

Qian RanTarik JamoulleJolien SchaeverbekeKaren MeersmansRik VandenberghePatrick Dupont
Published in: Brain and behavior (2020)
Our results demonstrated that normalized global graph measures based on a weighted network using the absolute (partial) correlation as weight were reproducible. The denoising pipeline and the granularity of the whole-brain parcellation used to define the nodes were not critical for the reproducibility of normalized graph measures.
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