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Differential spatial activity patterns of acupuncture by a machinelearning based analysis

机译:基于机械学的分析分析针灸差异空间活动模式

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Acupoint specificity, lying at the core of the Traditional Chinese Medicine, underlies the theoretical basis of acupuncture application. However, recent studies have reported that acupuncture stimulation at nonacupoint and acupoint can both evoke similar signal intensity decreases in multiple regions. And these regions were spatially overlapped. We used a machine learning based Support Vector Machine (SVM) approach to elucidate the specific neural response pattern induced by acupuncture stimulation. Group analysis demonstrated that stimulation at two different acupoints (belong to the same nerve segment but different meridians) could elicit distinct neural response patterns. Our findings may provide evidence for acupoint specificity.
机译:穴位特异性,躺在中医的核心下,是针灸应用的理论基础。然而,最近的研究报告说,非涂层和穴位的针灸刺激都可以唤起多个区域的类似信号强度降低。并且这些地区在空间上重叠。我们使用基于机器学习的支持向量机(SVM)方法来阐明针灸刺激诱导的特定神经应答模式。组分析表明,两个不同的穴位(属于同一神经段但不同的经络)刺激可以引起不同的神经反应模式。我们的研究结果可以为穴位特异性提供证据。

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