Network analysis in detection of early-stage mild cognitive impairment
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DOI: 10.1016/j.physa.2017.02.044
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- Sun, Wenguang & Cai, T. Tony, 2007. "Oracle and Adaptive Compound Decision Rules for False Discovery Rate Control," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 901-912, September.
- YaPeng Li & Yuanyuan Qin & Xi Chen & Wei Li, 2013. "Exploring the Functional Brain Network of Alzheimer’s Disease: Based on the Computational Experiment," PLOS ONE, Public Library of Science, vol. 8(9), pages 1-7, September.
- Efron B. & Tibshirani R. & Storey J.D. & Tusher V., 2001. "Empirical Bayes Analysis of a Microarray Experiment," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 1151-1160, December.
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Cited by:
- Lahmiri, Salim, 2018. "Causal influences between spontaneous fluctuations in resting state fMRI of central and peripheral eccentricity representations in the human visual cortex," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 756-762.
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Keywords
Network analysis; Mild cognitive impairment; Resting-state functional magnetic resonance imaging; Entropy of the degree distribution;All these keywords.
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