Machine learning for detecting mesial temporal lobe epilepsy by structural and functional neuroimaging-Reference-Cited by-同舟云学术

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Machine learning for detecting mesial temporal lobe epilepsy by structural and functional neuroimaging

Published:2020-01-07 Issue:5 Volume:14 Page:630-641
ISSN:2095-0217
Container-title:Frontiers of Medicine
language:en
Short-container-title:Front. Med.

Author:

Zhou Baiwan,An Dongmei,Xiao Fenglai,Niu Running,Li Wenbin,Li Wei,Tong Xin,Kemp Graham J.,Zhou Dong,Gong Qiyong,Lei Du

Publisher

Springer Science and Business Media LLC

Subject

General Medicine

Link

http://link.springer.com/content/pdf/10.1007/s11684-019-0718-4.pdf

Reference60 articles.

1. Engel J Jr. Mesial temporal lobe epilepsy: what have we learned? Neuroscientist 2001; 7(4): 340–352

2. Burianová H, Faizo NL, Gray M, Hocking J, Galloway G, Reutens D. Altered functional connectivity in mesial temporal lobe epilepsy. Epilepsy Res 2017; 137: 45–52

3. Chen S, Chen L, Huang H, Lin W. Relationship between resting state functional magnetic resonance imaging and memory function in mesial temporal lobe epilepsy. J Neurol Sci 2017; 372: 117–125

4. Memarian N, Thompson PM, Engel J Jr, Staba RJ. Quantitative analysis of structural neuroimaging of mesial temporal lobe epilepsy. Imaging Med 2013; 5(3): 10–14

5. Liu M, Chen Z, Beaulieu C, Gross DW. Disrupted anatomic white matter network in left mesial temporal lobe epilepsy. Epilepsia 2014; 55(5): 674–682

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