ArticleScientific reports2022
Migraine classification by machine learning with functional near-infrared spectroscopy during the mental arithmetic task.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.
- 'Man vs. Machine: can ML algorithms diagnose headaches as accurately as clinicians? A systematic review.'Journal of neurology · 2026Pooled it
- Acupuncture at Zuqiaoyin (GB44) Modulates Regional Brain Activity in Migraine Without Aura: A Resting-State Functional Magnetic Resonance Imaging Study.Pain research & management · 2026Trial
- Machine Learning Classification of Migraine Using fNIRS During a Postural Task.Brain sciences · 2026Article
- Extracranial Hemodynamic Responses to a Noxious Cold Pressor Task Differ Between Persistent Post-Traumatic Headache and Healthy Controls.Journal of personalized medicine · 2025Article
- Novel Feature Generation for Classification of Motor Activity from Functional Near-Infrared Spectroscopy Signals Using Machine Learning.Diagnostics (Basel, Switzerland) · 2024Article
- Migraine headache (MH) classification using machine learning methods with data augmentation.Scientific reports · 2024Article
- The Clinical Relevance of Artificial Intelligence in Migraine.Brain sciences · 2024Review
- Driving risk cognition of passengers in highly automated driving based on the prefrontal cortex activity via fNIRS.Scientific reports · 2023Article
- Behavioral modeling and neuroimaging of impaired risky decision making in patients with chronic musculoskeletal pain.Neurophotonics · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.