The Brain Functional Connectivity can Predict Response to Treatment with Transcutaneous Auricular Vagus Nerve Stimulation in Primary Insomnia
Wenting Luo1, Yue Zhang2, Xiaoyan Hou2, Menghan Feng1, Chengwei Fu1, Weicui Chen2, Xian Liu2, Zhaoxian Yan2, Kan Deng3, Biyun Xu4, and Bo Liu2
1The Second Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, China, 2Department of Radiology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China, 3Philips Healthcare, Guangzhou, China, 4Department of Sleep Disorder, Fangcun Branch, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
The individual response to treatment with the transcutaneous auricular vagus nerve stimulation ( taVNS ) in primary insomnia varies greatly, while there is lack of objective markers for patient’s treatment outcome. In this work, we demonstrated that the baseline functional connectivity combined with machine learning algorithms can predict response to treatment with taVNS in primary insomnia. The functional connectivity values within and between brain networks such as the default mode network, affective network, visual network, and cerebellar network maybe potential objective markers of patient’s treatment outcome.
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