Efficacy prediction of acupuncture treatment for migraine without aura based on multimodal MRI: A study protocol.
Efficacy prediction of acupuncture treatment for migraine without aura based on multimodal MRI: A study protocol.
复制标题
DOI：
10.3389/fneur.2022.953921
复制
发表时间：
2022
影响因子：
3.4
通讯作者：
中科院分区：
文献类型：
--
作者：
针灸是治疗无先兆偏头痛（MwoA）的有效和安全的疗法，但只有41-59%的患者在这种治疗下表现出改善。筛选针灸治疗MwoA的阳性反应者可以确保医疗资源可以适当地针对最受益的特定患者。本研究的目的是确定是否在某些脑区的结构和功能活动，可以预测接受针刺治疗的MwoA患者的镇痛反应。本研究共入组72例MwoA患者和72例健康对照（HC）。将在基线时收集每例受试者的静息状态结构和功能磁共振成像（MRI）数据。MwoA患者将接受12次针灸治疗，持续8周，前4周每周两次，后4周每周一次。随访时间为12周。将在第0、4、8、12和16周以及随访结束时（第20周）详细记录偏头痛天数、偏头痛发作频率和平均视觉模拟量表评分。阳性应答率将计算为与基线相比，随访期间偏头痛天数减少≥50%的患者比例。机器学习方法将用于对MwoA和HC患者进行分类，并根据多模态MRI参数（如灰质体积、区域均匀性、低频波动幅度、分数各向异性和平均扩散率）预测患者对针灸治疗有反应或无反应。本研究旨在建立脑结构和功能特征，可以识别MwoA患者，他们将从针灸治疗中获得镇痛益处。http://www.chictr.org.cn/showproj.aspx? proj=65443，标识符：ChiCTR 2100042915。
Acupuncture is an effective and safe therapy for patients with migraine without aura (MwoA), but only 41–59% of patients show improvement with this treatment. Screening positive responders to acupuncture treatment for MwoA can ensure that healthcare resources can be appropriately targeted to specific patients who would most benefit. The objective of this study is to determine whether the structure and functional activity in certain brain regions can predict analgesia response in patients with MwoA who receive acupuncture treatment. A total of 72 patients with MwoA and 72 healthy controls (HCs) will be enrolled in this study. Resting-state structural and functional magnetic resonance imaging (MRI) data will be collected from each participant at baseline. Patients with MwoA will undergo 12 sessions of acupuncture treatment for 8 weeks, twice per week in the first 4 weeks and once per week for the last 4 weeks. The follow-up will be 12 weeks. The number of days with migraine, frequency of migraine attacks, and average visual analog scale scores will be recorded in detail at weeks 0, 4, 8, 12, and 16 and at the end of follow-up (week 20). The positive response rate will be calculated as the proportion of patients with ≥50% reduction in the number of migraine days during follow-up compared with baseline. Machine learning methods will be applied to classify patients with MwoA and HCs and predict patients with response or non-response to acupuncture treatment based on multimodal MRI parameters, such as gray matter volume, regional homogeneity, amplitude of low-frequency fluctuation, fractional anisotropy, and mean diffusivity. This study aims to establish brain structural and functional characteristics that can identify patients with MwoA who will derive analgesia benefits from acupuncture treatment. http://www.chictr.org.cn/showproj.aspx?proj=65443, identifier: ChiCTR2100042915.
登录
查看更多内容
影响因子：
4.6
作者：
Li Z;Liu M;Lan L;Zeng F;Makris N;Liang Y;Guo T;Wu F;Gao Y;Dong M;Yang J;Li Y;Gong Q;Liang F;Kong J
通讯作者：
Kong J
针灸调节无先兆偏头痛患者的异常脑干活动
DOI：
10.1016/j.nicl.2017.05.013
发表时间：
2017
期刊：
NeuroImage. Clinical
影响因子：
--
作者：
Li Z;Zeng F;Yin T;Lan L;Makris N;Jorgenson K;Guo T;Wu F;Gao Y;Dong M;Liu M;Yang J;Li Y;Gong Q;Liang F;Kong J
通讯作者：
Kong J
影响因子：
4.9
作者：
Tfelt-Hansen, Peer;Pascual, Julio;Schwedt, Todd
通讯作者：
Schwedt, Todd
影响因子：
4.8
作者：
Niu, Xin;Zhang, Fengqing;Liang, Hualou
通讯作者：
Liang, Hualou
影响因子：
4
作者：
Fillingim, Roger B.;Loeser, John D.;Baron, Ralf;Edwards, Robert R.
通讯作者：
Edwards, Robert R.