Subnetwork mining on functional connectivity network for classification of minimal hepatic encephalopathy-Reference-Cited by-同舟云学术

Subnetwork mining on functional connectivity network for classification of minimal hepatic encephalopathy

Published:2017-07-17 Issue:3 Volume:12 Page:901-911
ISSN:1931-7557
Container-title:Brain Imaging and Behavior
language:en
Short-container-title:Brain Imaging and Behavior

Author:

Zhang Daoqiang^ORCID,Tu Liyang,Zhang Long-Jiang,Jie Biao,Lu Guang-Ming

Funder

National Natural Science Foundation of China

National Natural Science Foundation of China (CN)

NUAA Fundamental Research Funds

Publisher

Springer Science and Business Media LLC

Subject

Behavioral Neuroscience,Psychiatry and Mental health,Cellular and Molecular Neuroscience,Clinical Neurology,Cognitive Neuroscience,Neurology,Radiology Nuclear Medicine and imaging

Link

http://link.springer.com/article/10.1007/s11682-017-9753-4/fulltext.html

Reference60 articles.

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3. Amodio, P., Marchetti, P., del Piccolo, F., de Tourtchaninoff, M., Varghese, P., Zuliani, C., et al. (1999). Spectral versus visual EEG analysis in mild hepatic encephalopathy. Clinical Neurophysiology, 110(8), 1334–1344.

4. Arbabshirani, M. R., Kiehl, K. A., Pearlson, G. D., & Calhoun, V. D. (2013). Classification of schizophrenia patients based on resting-state functional network connectivity. Frontiers in Neuroscience, 7(133), 10.3389.

5. Bajaj, J. S., Saeian, K., Verber, M. D., Hischke, D., Hoffmann, R. G., Franco, J., et al. (2007). Inhibitory control test is a simple method to diagnose minimal hepatic encephalopathy and predict development of overt hepatic encephalopathy. The American Journal of Gastroenterology, 102(4), 754–760.

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