Acupuncture for migraine: a literature review of neuroimaging studies
Abstract
BACKGROUND: Acupuncture is effective for migraine treatment with minimal side effects. Neuroimaging techniques have been extensively used to explore the central mechanisms of acupuncture for migraine. This review aims to summarize neuroimaging study of acupuncture for migraine, providing a valuable reference and foundation for future clinical and mechanistic research.
METHODS: From database inception to November 19, 2024, we conducted a comprehensive search of four English-language and four Chinese-language databases. All published clinical controlled trials utilizing neuroimaging methods were included after rigorous screening. This review summarizes the immediate and preventive effects of acupuncture in migraine treatment, as well as the possible neural mechanisms underlying its efficacy in alleviating pain and non-pain symptoms.
RESULTS: A total of 833 papers were identified, and 40 met the inclusion criteria after screening. Among them, 8 studies focused on the immediate effects of acupuncture, while 32 investigated its preventive effects. General, methodological, and neuroimaging data were extracted and summarized. These studies utilized various neuroimaging techniques, including functional magnetic resonance imaging (fMRI), diffusion tensor imaging (DTI), fluorodeoxyglucose positron emission tomography/computed tomography (FDG-PET/CT), transcranial Doppler sonography (TCD), and magnetic resonance spectroscopy (MRS). The immediate effects of acupuncture treatment for…
How strong is the evidence?
Evidence Hub reads this as a systematic review. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.
Read the paper
Related studies
- Calcium Ions in the Physiology and Pathology of the Central Nervous System
- AI-powered in silico twins: redefining precision medicine through simulation, personalization, and predictive healthcare
- In silico functional, structural and pathogenicity analysis of missense single nucleotide polymorphisms in human MCM6 gene
- In Silico drug repurposing pipeline using deep learning and structure based approaches in epilepsy
- Targeting serotonin receptors with phytochemicals – an in-silico study
- In silico exploration of anti-prostate cancer compounds from differential expressed genes
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.