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The Spontaneous Activity Pattern of the Middle Occipital Gyrus Predicts the Clinical Efficacy of Acupuncture Treatment for Migraine Without Aura

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成果类型:
期刊论文
作者:
Yin, Tao;Sun, Guojuan;Tian, Zilei;Liu, Mailan;Gao, Yujie;...
通讯作者:
Liang, Fanrong;Zeng, Fang;Lan, Lei
作者机构:
[Zeng, Fang; Liang, Fanrong; Lan, Lei; Li, Zhengjie; Tian, Zilei; Zeng, F; Lan, L; Yin, Tao] Chengdu Univ Tradit Chinese Med, Teaching Hosp 3, Acupuncture & Tuina Sch, Chengdu, Peoples R China.
[Zeng, F; Lan, L; Zeng, Fang; Lan, Lei; Li, Zhengjie; Tian, Zilei; Yin, Tao] Chengdu Univ Tradit Chinese Med, Acupuncture & Brain Sci Res Ctr, Chengdu, Peoples R China.
[Sun, Guojuan] Hosp Chengdu Univ Tradit Chinese Med, Dept Gynecol, Chengdu, Peoples R China.
[Liu, Mailan] Hunan Univ Chinese Med, Coll Acupuncture & Moxibust & Tui Na, Changsha, Peoples R China.
[Gao, Yujie] Ningxia Med Univ, Tradit Chinese Med Sch, Yinchuan, Ningxia, Peoples R China.
通讯机构:
[Liang, FR; Zeng, F; Lan, L] C
[Liang, FR; Zeng, F] K
Chengdu Univ Tradit Chinese Med, Teaching Hosp 3, Acupuncture & Tuina Sch, Chengdu, Peoples R China.
Chengdu Univ Tradit Chinese Med, Acupuncture & Brain Sci Res Ctr, Chengdu, Peoples R China.
Key Lab Sichuan Prov Acupuncture & Chronobiol, Chengdu, Peoples R China.
语种:
英文
关键词:
Migraine without Aura;Acupuncture;multivariate pattern analysis;machine learning;Amplitude of low-frequency fluctuation;efficacy prediction
期刊:
Frontiers in Neurology
ISSN:
1664-2295
年:
2020
卷:
11
页码:
588207
基金类别:
This study was financially supported by National Natural Science Foundation of China (Nos. 81503664, 81590951), National Key R&D Program of China (Nos. 2018YFC1704600, 2018YFC1704605), Sichuan Science and Technology Program (No. 2020JDRC0105), and Xinglin Scholars Program supported by Chengdu University of Traditional Chinese Medicine (No. 030/030041055).
机构署名:
本校为其他机构
院系归属:
针灸推拿与康复学院
摘要:
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 predic...

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