Migraine classification by machine learning with functional near-infrared spectroscopy during the mental arithmetic task

Wei-Ta Chen; Cing-Yan Hsieh; Yao-Hong Liu; Pou-Leng Cheong; Yi-Min Wang; Chia-Wei Sun

doi:10.1038/s41598-022-17619-9

Migraine classification by machine learning with functional near-infrared spectroscopy during the mental arithmetic task

Sci Rep. 2022 Aug 26;12(1):14590. doi: 10.1038/s41598-022-17619-9.

Authors

Wei-Ta Chen^{1

2}, Cing-Yan Hsieh³, Yao-Hong Liu³, Pou-Leng Cheong^{3

4

5}, Yi-Min Wang³, Chia-Wei Sun^{6

7

8}

Affiliations

¹ Department of Neurology, Keelung Hospital,Ministry of Health and Welfare, No. 268, Xin 2nd Rd., Xinyi Dist, Keelung, 20148, Taiwan, ROC.
² Neurological Institute, Taipei Veterans General Hospital, No. 201, Sec.2, Shipai Rd., Beitou Dist, Taipei, 112201, Taiwan, ROC.
³ Department of Photonics, College of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, No. 1001, University Road, East District, Hsinchu, 300093, Taiwan, ROC.
⁴ Department of Pediatrics, National Taiwan University Hospital, Hisnchu Branch, No. 25, Ln. 442, Sec.1, Jingguo Rd., North Dist, Hsinchu, 30059, Taiwan, ROC.
⁵ Department of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.
⁶ Department of Photonics, College of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, No. 1001, University Road, East District, Hsinchu, 300093, Taiwan, ROC. chiaweisun@nycu.edu.tw.
⁷ Institute of Biomedical Engineering, College of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, No. 1001, University Road, East District, Hsinchu, 300093, Taiwan, ROC. chiaweisun@nycu.edu.tw.
⁸ Medical Device Innovation and Translation Center, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Linong St., Beitou Dist., Taipei, 112304, Taiwan, ROC. chiaweisun@nycu.edu.tw.

Abstract

Migraine is a common and complex neurovascular disorder. Clinically, the diagnosis of migraine mainly relies on scales, but the degree of pain is too subjective to be a reliable indicator. It is even more difficult to diagnose the medication-overuse headache, which can only be evaluated by whether the symptom is improved after the medication adjustment. Therefore, an objective migraine classification system to assist doctors in making a more accurate diagnosis is needed. In this research, 13 healthy subjects (HC), 9 chronic migraine subjects (CM), and 12 medication-overuse headache subjects (MOH) were measured by functional near-infrared spectroscopy (fNIRS) to observe the change of the hemoglobin in the prefrontal cortex (PFC) during the mental arithmetic task (MAT). Our model shows the sensitivity and specificity of CM are 100% and 75%, and that of MOH is 75% and 100%.The results of the classification of the three groups prove that fNIRS combines with machine learning is feasible for the migraine classification.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Headache
Headache Disorders, Secondary*
Humans
Machine Learning
Migraine Disorders*
Spectroscopy, Near-Infrared