The network analysis method based on brain connectomics is an important entry point to explore the working mechanism of brain and is also the current trend of researches on acupuncture stimulation-induced changes of neuroimages. We

in the present review

summarized the common network analysis methods for exploring the underlying mechanisms of brain network-mediated regulatory effects of acupuncture interventions. Moreover

combining the current research development and our team's previous research findings

we extracted the characteristics of targeting

conditionity and dynamic of regulatory effects of acupuncture-activated brain network

and put forward our prospects about the future research from the aspects of new scanning modes(for instance

multimodal data acquisition of magnetic resonance

electroencephalogram

near infrared spectrum

etc.)

network analysis(such as Granger causality analysis

complex network measures

whole-brain connectivity dynamics tracking

high-order resting-state functional connectivity analysis

etc.) and experimental research paradigms(for example

introduce of transcranial magnetic stimulation induced transient changes of brain functional activity

machine learning approach

etc.).