Assessing the Repeatability of Multi-Frequency Multi-Layer Brain Network Topologies Across Alternative Researcher’s Choice Paths
Author:
Publisher
Springer Science and Business Media LLC
Subject
Information Systems,General Neuroscience,Software
Link
https://link.springer.com/content/pdf/10.1007/s12021-022-09610-6.pdf
Reference90 articles.
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2. Andellini, M., Cannatà, V., Gazzellini, S., et al. (2015). Test-retest reliability of graph metrics of resting state MRI functional brain networks: A review. Journal of Neuroscience Methods, 253, 183–192. https://doi.org/10.1016/j.jneumeth.2015.05.020
3. Arslan, S., Ktena, S. I., Makropoulos, A., et al. (2018). Human brain mapping: A systematic comparison of parcellation methods for the human cerebral cortex. NeuroImage, 170, 5–30. https://doi.org/10.1016/j.neuroimage.2017.04.014
4. Bagrow, J. P., & Bollt, E. M. (2019). An information-theoretic, all-scales approach to comparing networks. Applied Network Science, 4, 45. https://doi.org/10.1007/s41109-019-0156-x
5. Bassett, D. S., & Sporns, O. (2017). Network neuroscience. Nature Neuroscience, 20, 353–364. https://doi.org/10.1038/nn.4502
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