Unknown

Dataset Information

Baseline Brain Gray Matter Volume as a Predictor of Acupuncture Outcome in Treating Migraine.


ABSTRACT: Background: The present study aimed to investigate the use of imaging biomarkers to predict the outcome of acupuncture in patients with migraine without aura (MwoA). Methods: Forty-one patients with MwoA received 4 weeks of acupuncture treatment and two brain imaging sessions at the Beijing Traditional Chinese Medicine Hospital affiliated with Capital Medical University. Patients kept a headache diary for 4 weeks before treatment and during acupuncture treatment. Responders were defined as those with at least a 50% reduction in the number of migraine days. The machine learning method was used to distinguish responders from non-responders based on pre-treatment brain gray matter (GM) volume. Longitudinal changes in GM predictive regions were also analyzed. Results: After 4 weeks of acupunct

SUBMITTER: Yang XJ 

PROVIDER: S-EPMC7066302 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature