Altered brainstem–cortex activation and interaction in migraine patients: somatosensory evoked EEG responses with machine learning
Altered brainstem-cortex activation and interaction are characteristic of the abnormal sensory processing in migraine. Combining evoked activity analysis with machine learning offers a reliable and generalisable tool for identifying patients with migraine and for assessing the severity of their condition. Thus, this approach is an effective and rapid diagnostic tool for clinicians.
Authors
- Gianluca Coppola (ORCID: https://orcid.org/0000-0002-8510-6925)
- Shuu‐Jiun Wang (ORCID: https://orcid.org/0000-0001-5179-5358)
- Kuan‐Lin Lai (ORCID: https://orcid.org/0000-0002-2436-6555)
- Li‐Ling Hope Pan (ORCID: https://orcid.org/0000-0002-0192-389X)
- Hung‐Yu Liu (ORCID: https://orcid.org/0000-0001-5567-9573)
- Fu‐Jung Hsiao (ORCID: https://orcid.org/0000-0001-7824-8864)
- Shih‐Pin Chen (ORCID: https://orcid.org/0000-0003-3492-9902)
- Yu‐Te Wu (ORCID: https://orcid.org/0000-0002-6942-0340)
- Wei‐Ta Chen (ORCID: https://orcid.org/0000-0003-2355-3540)
- Yen-Feng Wang
Institutions
- National Yang Ming Chiao Tung University (TW)
- Taipei Veterans General Hospital (TW)
- Ministry of Health and Welfare (TW)
- Sapienza University of Rome (IT)
Publication Details
- Journal
- The Journal of Headache and Pain
- Published
- 2024-10-28
- DOI
- https://doi.org/10.1186/s10194-024-01892-2
- Citations
- 9
- Primary Topic
- Migraine and Headache Studies
- Type
- article
- Field-Weighted Citation Impact
- 3.47
Funders
- Shanghai Educational Development Foundation
- Ministry of Science and Technology, Taiwan
- National Science and Technology Council