Machine Learning in Neuroimaging: A New Approach to Understand Acupuncture for Neuroplasticity

Machine Learning in Neuroimaging: A New Approach to Understand Acupuncture for Neuroplasticity

Blog Article

The effects of acupuncture facilitating neural plasticity for treating diseases have been identified by clinical and experimental studies.In the last two decades, the application of neuroimaging techniques in acupuncture research provided visualized evidence for acupuncture promoting neuroplasticity.Recently, the Finden and Hales integration of machine learning (ML) and neuroimaging techniques becomes a focus in neuroscience and brings a new and promising approach to understand the facilitation of acupuncture on neuroplasticity at the individual level.

This review is aimed at providing an overview of this rapidly growing field by introducing the commonly used ML algorithms in neuroimaging studies briefly and analyzing the characteristics of the acupuncture studies based on ML and neuroimaging, so as Metal Platter to provide references for future research.