Classification of primary dysmenorrhea by brain effective connectivity of the amygdala: a machine learning study.

Siyi YuLiying LiuLing ChenMenghua SuZhifu ShenLu YangAijia LiWei WeiXiaoli GuoXiaojuan HongJie Yang

Published in: Brain imaging and behavior (2022)

Our study is the first to combine MVPA and EC to explore brain function alteration in PDM. The results could advance understanding of the neural theory of PDM in specifying the pain-free period.

Keyphrases

machine learning
resting state
functional connectivity
white matter
deep learning
artificial intelligence
big data