Identify potential neuroimaging-based scalp acupuncture and neuromodulation targets for anxiety

Jin Cao, Yiting Huang, Sierra Hodges, Nathaniel Meshberg, Jian Kong
{"title":"Identify potential neuroimaging-based scalp acupuncture and neuromodulation targets for anxiety","authors":"Jin Cao, Yiting Huang, Sierra Hodges, Nathaniel Meshberg, Jian Kong","doi":"10.26599/BSA.2021.9050011","DOIUrl":null,"url":null,"abstract":"Anxiety is a common psychiatric symptom with unsatisfactory treatment. Scalp acupuncture is a new type of acupuncture based on the functions of different brain regions. However, recent brain neuroimaging findings have not been well-integrated into scalp acupuncture practice and research since it was developed. In parallel, recently developed brain stimulation methods have also been applied to treat anxiety. In this study, we integrated meta-analysis (using Neurosynth), resting-state functional connectivity, and diffusion tensor imaging (using the amygdala as the region of interest) to identify potential locations of scalp acupuncture/neuromodulation for anxiety. We found that the superior/middle frontal gyrus, middle/superior temporal gyrus, precentral gyrus, supplementary motor area, supramarginal gyrus, angular gyrus, and superior/inferior occipital gyrus are involved in the pathophysiology of anxiety, and, thus, may be used as the target areas of scalp stimulation for alleviating anxiety. Integrating multidisciplinary brain methods to identify key surface cortical areas associated with a certain disorder may shed light on the development of scalp acupuncture/neuromodulation, particularly in the domain of identifying stimulation locations.","PeriodicalId":67062,"journal":{"name":"Brain Science Advances","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brain Science Advances","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.26599/BSA.2021.9050011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Anxiety is a common psychiatric symptom with unsatisfactory treatment. Scalp acupuncture is a new type of acupuncture based on the functions of different brain regions. However, recent brain neuroimaging findings have not been well-integrated into scalp acupuncture practice and research since it was developed. In parallel, recently developed brain stimulation methods have also been applied to treat anxiety. In this study, we integrated meta-analysis (using Neurosynth), resting-state functional connectivity, and diffusion tensor imaging (using the amygdala as the region of interest) to identify potential locations of scalp acupuncture/neuromodulation for anxiety. We found that the superior/middle frontal gyrus, middle/superior temporal gyrus, precentral gyrus, supplementary motor area, supramarginal gyrus, angular gyrus, and superior/inferior occipital gyrus are involved in the pathophysiology of anxiety, and, thus, may be used as the target areas of scalp stimulation for alleviating anxiety. Integrating multidisciplinary brain methods to identify key surface cortical areas associated with a certain disorder may shed light on the development of scalp acupuncture/neuromodulation, particularly in the domain of identifying stimulation locations.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
确定潜在的基于神经成像的头针和神经调控焦虑靶点
焦虑是一种常见的精神症状,治疗不理想。头皮针刺是一种基于不同脑区功能的新型针刺方法。然而,最近的脑神经影像学发现并没有很好地整合到头皮针灸的实践和研究中。与此同时,最近开发的脑刺激方法也被应用于治疗焦虑。在这项研究中,我们整合了meta分析(使用Neurosynth)、静息状态功能连通性和弥散张量成像(使用杏仁核作为感兴趣区域)来确定头皮针刺/神经调节治疗焦虑的潜在位置。我们发现额上/中回、颞中/上回、中央前回、辅助运动区、边缘上回、角回和枕上/下回参与了焦虑的病理生理,因此可以作为头皮刺激缓解焦虑的靶区。整合多学科的脑方法来识别与某种疾病相关的关键表面皮层区域,可能会为头皮针刺/神经调节的发展提供启示,特别是在识别刺激位置的领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
27
审稿时长
10 weeks
期刊最新文献
A review of deep learning methods for cross-subject rapid serial visual presentation detection in World Robot Contest 2022 Overview of recognition methods for SSVEP-based BCIs in World Robot Contest 2022: MATLAB undergraduate group Algorithm contest of motor imagery BCI in the World Robot Contest 2022: A survey Winning algorithms in BCI Controlled Robot Contest in World Robot Contest 2022: BCI Turing Test Overview of the winning approaches in 2022 World Robot Contest Championship–Asynchronous SSVEP
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1