Research on migraine classification model based on hypergraph neural network
Author:
Funder
National Natural Science Foundation of China
Science and Technology Support Projects of the Shanghai Science and Technology Committee
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11227-024-06387-0.pdf
Reference32 articles.
1. Khan J, Al Asoom LI, Al Sunni A et al (2021) Genetics, pathophysiology, diagnosis, treatment, management, and prevention of migraine. Biomed Pharmacother 139:111557. https://doi.org/10.1016/j.biopha.2021.111557
2. Stovner LJ, Nichols E, Steiner TJ et al (2018) Global, regional, and national burden of migraine and tension-type headache, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol 17:954–976. https://doi.org/10.1016/S1474-4422(18)30322-3
3. Begasse de Dhaem O, Robbins MS (2022) Cognitive impairment in primary and secondaryheadache disorders. Curr Pain Headache Rep 26(5):391–404. https://doi.org/10.1007/s11916-022-01039-5
4. Canario E, Chen D, Biswal B (2021) A review of resting-state fMRI and its use to examine psychiatric disorders. Psychoradiology 1(1):42–53. https://doi.org/10.1093/psyrad/kkab003
5. Zhang Q, Wu Q, Zhang J et al (2016) Discriminative Analysis of migraine without aura: using functional and structural MRI with a multi-feature classification approach. PLoS ONE 11:e0163875. https://doi.org/10.1371/journal.pone.0163875
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