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 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 to provide references for future research.

中文翻译：

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神经影像学中的机器学习：了解针灸神经可塑性的新方法。

针灸促进神经可塑性治疗疾病的效果已通过临床和实验研究得到证实。近二十年来，神经影像技术在针灸研究中的应用为针灸促进神经可塑性提供了可视化的证据。最近，机器学习 (ML) 和神经影像技术的整合成为神经科学的一个焦点，并带来了一种新的、有前途的方法来了解针灸对个体水平的神经可塑性的促进作用。本综述旨在通过简要介绍神经影像学研究中常用的ML算法，并分析基于ML和神经影像学的针灸研究特点，对这一快速发展的领域进行概述，为未来的研究提供参考。