Literature DB >> 31964692

Are machine learning approaches the future to study patients with migraine?

Maria A Rocca1, Judith U Harrer2, Massimo Filippi2.   

Abstract

Entities:  

Year:  2020        PMID: 31964692     DOI: 10.1212/WNL.0000000000008956

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


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  4 in total

1.  Headache Medicine Grand Challenge: Headache: A New Frontier, A New Challenge.

Authors:  Frederick G Freitag
Journal:  Front Pain Res (Lausanne)       Date:  2021-08-09

2.  Predicting response to tVNS in patients with migraine using functional MRI: A voxels-based machine learning analysis.

Authors:  Chengwei Fu; Yue Zhang; Yongsong Ye; Xiaoyan Hou; Zeying Wen; Zhaoxian Yan; Wenting Luo; Menghan Feng; Bo Liu
Journal:  Front Neurosci       Date:  2022-08-05       Impact factor: 5.152

3.  Cerebral blood flow alterations in migraine patients with and without aura: An arterial spin labeling study.

Authors:  Tong Fu; Lindong Liu; Xiaobin Huang; Di Zhang; Yujia Gao; Xindao Yin; Hai Lin; Yongming Dai; Xinying Wu
Journal:  J Headache Pain       Date:  2022-10-04       Impact factor: 8.588

4.  Resting-state magnetoencephalographic oscillatory connectivity to identify patients with chronic migraine using machine learning.

Authors:  Fu-Jung Hsiao; Wei-Ta Chen; Li-Ling Hope Pan; Hung-Yu Liu; Yen-Feng Wang; Shih-Pin Chen; Kuan-Lin Lai; Gianluca Coppola; Shuu-Jiun Wang
Journal:  J Headache Pain       Date:  2022-10-03       Impact factor: 8.588

  4 in total

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