PMID- 33240209 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20201127 IS - 1664-2295 (Print) IS - 1664-2295 (Electronic) IS - 1664-2295 (Linking) VI - 11 DP - 2020 TI - The Spontaneous Activity Pattern of the Middle Occipital Gyrus Predicts the Clinical Efficacy of Acupuncture Treatment for Migraine Without Aura. PG - 588207 LID - 10.3389/fneur.2020.588207 [doi] LID - 588207 AB - The purpose of the present study was to explore whether and to what extent the neuroimaging markers could predict the relief of the symptoms of patients with migraine without aura (MWoA) following a 4-week acupuncture treatment period. In study 1, the advanced multivariate pattern analysis was applied to perform a classification analysis between 40 patients with MWoA and 40 healthy subjects (HS) based on the z-transformed amplitude of low-frequency fluctuation (zALFF) maps. In study 2, the meaningful classifying features were selected as predicting features and the support vector regression models were constructed to predict the clinical efficacy of acupuncture in reducing the frequency of migraine attacks and headache intensity in 40 patients with MWoA. In study 3, a region of interest-based comparison between the pre- and post-treatment zALFF maps was conducted in 33 patients with MwoA to assess the changes in predicting features after acupuncture intervention. The zALFF value of the foci in the bilateral middle occipital gyrus, right fusiform gyrus, left insula, and left superior cerebellum could discriminate patients with MWoA from HS with higher than 70% accuracy. The zALFF value of the clusters in the right and left middle occipital gyrus could effectively predict the relief of headache intensity (R (2) = 0.38 +/- 0.059, mean squared error = 2.626 +/- 0.325) and frequency of migraine attacks (R (2) = 0.284 +/- 0.072, mean squared error = 20.535 +/- 2.701) after the 4-week acupuncture treatment period. Moreover, the zALFF values of these two clusters were both significantly reduced after treatment. The present study demonstrated the feasibility and validity of applying machine learning technologies and individual cerebral spontaneous activity patterns to predict acupuncture treatment outcomes in patients with MWoA. The data provided a quantitative benchmark for selecting acupuncture for MWoA. CI - Copyright (c) 2020 Yin, Sun, Tian, Liu, Gao, Dong, Wu, Li, Liang, Zeng and Lan. FAU - Yin, Tao AU - Yin T AD - Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, China. AD - Acupuncture and Brain Science Research Center, Chengdu University of Traditional Chinese Medicine, Chengdu, China. FAU - Sun, Guojuan AU - Sun G AD - Department of Gynecology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China. FAU - Tian, Zilei AU - Tian Z AD - Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, China. AD - Acupuncture and Brain Science Research Center, Chengdu University of Traditional Chinese Medicine, Chengdu, China. FAU - Liu, Mailan AU - Liu M AD - College of Acupuncture and Moxibustion and Tui-na, Hunan University of Chinese Medicine, Changsha, China. FAU - Gao, Yujie AU - Gao Y AD - Traditional Chinese Medicine School, Ningxia Medical University, Yinchuan, China. FAU - Dong, Mingkai AU - Dong M AD - Department of Acupuncture and Moxibustion, Xinjin Hospital of Traditional Chinese Medicine, Chengdu, China. FAU - Wu, Feng AU - Wu F AD - Department of Acupuncture and Moxibustion, Changsha Hospital of Traditional Chinese Medicine, Changsha, China. FAU - Li, Zhengjie AU - Li Z AD - Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, China. AD - Acupuncture and Brain Science Research Center, Chengdu University of Traditional Chinese Medicine, Chengdu, China. FAU - Liang, Fanrong AU - Liang F AD - Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, China. AD - Key Laboratory of Sichuan Province for Acupuncture and Chronobiology, Chengdu, China. FAU - Zeng, Fang AU - Zeng F AD - Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, China. AD - Acupuncture and Brain Science Research Center, Chengdu University of Traditional Chinese Medicine, Chengdu, China. AD - Key Laboratory of Sichuan Province for Acupuncture and Chronobiology, Chengdu, China. FAU - Lan, Lei AU - Lan L AD - Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, China. AD - Acupuncture and Brain Science Research Center, Chengdu University of Traditional Chinese Medicine, Chengdu, China. LA - eng PT - Journal Article DEP - 20201109 PL - Switzerland TA - Front Neurol JT - Frontiers in neurology JID - 101546899 PMC - PMC7680874 OTO - NOTNLM OT - acupuncture OT - amplitude of low-frequency fluctuation OT - efficacy prediction OT - machine learning OT - migraine without aura OT - multivariate pattern analysis EDAT- 2020/11/27 06:00 MHDA- 2020/11/27 06:01 PMCR- 2020/11/09 CRDT- 2020/11/26 05:45 PHST- 2020/07/30 00:00 [received] PHST- 2020/09/30 00:00 [accepted] PHST- 2020/11/26 05:45 [entrez] PHST- 2020/11/27 06:00 [pubmed] PHST- 2020/11/27 06:01 [medline] PHST- 2020/11/09 00:00 [pmc-release] AID - 10.3389/fneur.2020.588207 [doi] PST - epublish SO - Front Neurol. 2020 Nov 9;11:588207. doi: 10.3389/fneur.2020.588207. eCollection 2020.