• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

用于进行电场优化、fMRI 引导的经颅磁刺激的通用工作流程。

A generalized workflow for conducting electric field-optimized, fMRI-guided, transcranial magnetic stimulation.

机构信息

Section on Neurobiology of Fear and Anxiety, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.

Center for Neuromodulation in Depression and Stress, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.

出版信息

Nat Protoc. 2020 Nov;15(11):3595-3614. doi: 10.1038/s41596-020-0387-4. Epub 2020 Sep 30.

DOI:10.1038/s41596-020-0387-4
PMID:33005039
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8123368/
Abstract

Transcranial magnetic stimulation (TMS) is a noninvasive method to stimulate the cerebral cortex that has applications in psychiatry, such as in the treatment of depression and anxiety. Although many TMS targeting methods that use figure-8 coils exist, many do not account for individual differences in anatomy or are not generalizable across target sites. This protocol combines functional magnetic resonance imaging (fMRI) and iterative electric-field (E-field) modeling in a generalized approach to subject-specific TMS targeting that is capable of optimizing the stimulation site and TMS coil orientation. To apply this protocol, the user should (i) operationally define a region of interest (ROI), (ii) generate the head model from the structural MRI data, (iii) preprocess the functional MRI data, (iv) identify the single-subject stimulation site within the ROI, and (iv) conduct E-field modeling to identify the optimal coil orientation. In comparison with standard targeting methods, this approach demonstrates (i) reduced variability in the stimulation site across subjects, (ii) reduced scalp-to-cortical-target distance, and (iii) reduced variability in optimal coil orientation. Execution of this protocol requires intermediate-level skills in structural and functional MRI processing. This protocol takes ~24 h to complete and demonstrates how constrained fMRI targeting combined with iterative E-field modeling can be used as a general method to optimize both the TMS coil site and its orientation.

摘要

经颅磁刺激(TMS)是一种非侵入性刺激大脑皮层的方法,在精神病学中有应用,例如治疗抑郁症和焦虑症。虽然有许多使用 8 字形线圈的 TMS 靶向方法,但许多方法都没有考虑到解剖结构的个体差异,或者不能在不同的目标部位之间推广。本方案将功能磁共振成像(fMRI)和迭代电场(E-field)建模相结合,提出了一种针对个体的 TMS 靶向的通用方法,能够优化刺激部位和 TMS 线圈方向。要应用此方案,用户应(i)操作定义感兴趣区域(ROI),(ii)从结构 MRI 数据生成头部模型,(iii)预处理功能 MRI 数据,(iv)在 ROI 内识别单个个体的刺激部位,以及(iv)进行 E-field 建模以确定最佳线圈方向。与标准靶向方法相比,该方法表现出(i)刺激部位在个体间的变异性降低,(ii)头皮到皮质目标的距离缩短,以及(iii)最佳线圈方向的变异性降低。执行此方案需要具备中级水平的结构和功能 MRI 处理技能。此方案大约需要 24 小时完成,展示了如何将受限的 fMRI 靶向与迭代 E-field 建模相结合,作为优化 TMS 线圈位置及其方向的通用方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b98c/8123368/7d7d53917540/nihms-1696933-f0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b98c/8123368/7aaa1f7c5670/nihms-1696933-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b98c/8123368/fc6719034e1c/nihms-1696933-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b98c/8123368/55f642c8ae68/nihms-1696933-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b98c/8123368/81b1717595da/nihms-1696933-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b98c/8123368/04d241f6bb80/nihms-1696933-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b98c/8123368/a48ca9381c65/nihms-1696933-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b98c/8123368/7d7d53917540/nihms-1696933-f0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b98c/8123368/7aaa1f7c5670/nihms-1696933-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b98c/8123368/fc6719034e1c/nihms-1696933-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b98c/8123368/55f642c8ae68/nihms-1696933-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b98c/8123368/81b1717595da/nihms-1696933-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b98c/8123368/04d241f6bb80/nihms-1696933-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b98c/8123368/a48ca9381c65/nihms-1696933-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b98c/8123368/7d7d53917540/nihms-1696933-f0008.jpg

相似文献

1
A generalized workflow for conducting electric field-optimized, fMRI-guided, transcranial magnetic stimulation.用于进行电场优化、fMRI 引导的经颅磁刺激的通用工作流程。
Nat Protoc. 2020 Nov;15(11):3595-3614. doi: 10.1038/s41596-020-0387-4. Epub 2020 Sep 30.
2
Stimulation Effects Mapping for Optimizing Coil Placement for Transcranial Magnetic Stimulation.用于优化经颅磁刺激线圈放置的刺激效果映射
Neuroinformatics. 2025 Jan 7;23(1):1. doi: 10.1007/s12021-024-09714-1.
3
Mapping the after-effects of theta burst stimulation on the human auditory cortex with functional imaging.利用功能成像技术绘制theta波爆发刺激对人类听觉皮层的后效应图。
J Vis Exp. 2012 Sep 12(67):e3985. doi: 10.3791/3985.
4
TAP: targeting and analysis pipeline for optimization and verification of coil placement in transcranial magnetic stimulation.TAP:用于优化和验证经颅磁刺激中线圈放置的目标和分析管道。
J Neural Eng. 2022 Apr 21;19(2). doi: 10.1088/1741-2552/ac63a4.
5
Atlas of optimal coil orientation and position for TMS: A computational study.经颅磁刺激线圈优化取向与位置图谱:一项计算研究。
Brain Stimul. 2018 Jul-Aug;11(4):839-848. doi: 10.1016/j.brs.2018.04.011. Epub 2018 Apr 17.
6
Targeting brain functions from the scalp: Transcranial brain atlas based on large-scale fMRI data synthesis.从头皮上靶向大脑功能:基于大规模 fMRI 数据综合的经颅脑图谱。
Neuroimage. 2020 Apr 15;210:116550. doi: 10.1016/j.neuroimage.2020.116550. Epub 2020 Jan 22.
7
Neuronavigation maximizes accuracy and precision in TMS positioning: Evidence from 11,230 distance, angle, and electric field modeling measurements.神经导航可最大限度提高 TMS 定位的准确性和精密度:来自 11230 次距离、角度和电场建模测量的证据。
Brain Stimul. 2022 Sep-Oct;15(5):1192-1205. doi: 10.1016/j.brs.2022.08.013. Epub 2022 Aug 27.
8
Fast computational E-field dosimetry for transcranial magnetic stimulation using adaptive cross approximation and auxiliary dipole method (ACA-ADM).基于自适应交叉逼近和辅助偶极子方法(ACA-ADM)的经颅磁刺激快速计算电场剂量学。
Neuroimage. 2023 Feb 15;267:119850. doi: 10.1016/j.neuroimage.2022.119850. Epub 2023 Jan 2.
9
Proof of concept study to develop a novel connectivity-based electric-field modelling approach for individualized targeting of transcranial magnetic stimulation treatment.概念验证研究,旨在开发一种新的基于连通性的电场建模方法,用于经颅磁刺激治疗的个体化靶向。
Neuropsychopharmacology. 2022 Jan;47(2):588-598. doi: 10.1038/s41386-021-01110-6. Epub 2021 Jul 28.
10
Combined noninvasive language mapping by navigated transcranial magnetic stimulation and functional MRI and its comparison with direct cortical stimulation.经颅磁刺激导航联合功能磁共振成像的无创性语言图谱绘制及其与直接皮质刺激的比较
J Neurosurg. 2015 Jul;123(1):212-25. doi: 10.3171/2014.9.JNS14929. Epub 2015 Mar 6.

引用本文的文献

1
Electric field variations across DLPFC targeting methods in TMS therapy for Alzheimer's disease.经颅磁刺激疗法治疗阿尔茨海默病时针对背外侧前额叶皮质的靶向方法中的电场变化。
Neuroimage Clin. 2025 Jul 17;48:103847. doi: 10.1016/j.nicl.2025.103847.
2
Resting-state connectivity enhancement in Aphasia patients post-speech therapy: a localization model.失语症患者言语治疗后静息态连接增强:一种定位模型。
Brain Imaging Behav. 2025 Apr;19(2):365-378. doi: 10.1007/s11682-025-00968-0. Epub 2025 Feb 3.
3
Stimulation Effects Mapping for Optimizing Coil Placement for Transcranial Magnetic Stimulation.

本文引用的文献

1
Low-frequency parietal repetitive transcranial magnetic stimulation reduces fear and anxiety.低频顶叶重复经颅磁刺激可减少恐惧和焦虑。
Transl Psychiatry. 2020 Feb 17;10(1):68. doi: 10.1038/s41398-020-0751-8.
2
A novel approach to localize cortical TMS effects.一种定位皮质 TMS 效应的新方法。
Neuroimage. 2020 Apr 1;209:116486. doi: 10.1016/j.neuroimage.2019.116486. Epub 2019 Dec 23.
3
Mechanistic link between right prefrontal cortical activity and anxious arousal revealed using transcranial magnetic stimulation in healthy subjects.
用于优化经颅磁刺激线圈放置的刺激效果映射
Neuroinformatics. 2025 Jan 7;23(1):1. doi: 10.1007/s12021-024-09714-1.
4
TMS-induced modulation of brain networks and its associations to rTMS treatment for depression: a concurrent fMRI-EEG-TMS study.经颅磁刺激诱导的脑网络调制及其与重复经颅磁刺激治疗抑郁症的关联:一项功能磁共振成像-脑电图-经颅磁刺激同步研究
medRxiv. 2024 Dec 27:2024.12.24.24319609. doi: 10.1101/2024.12.24.24319609.
5
Effects of high-definition tDCS targeting individual motor hotspot with EMG-driven robotic hand training on upper extremity motor function: a pilot randomized controlled trial.肌电触发机器人手训练结合靶向个体运动热点的高清经颅直流电刺激对上肢运动功能的影响:一项初步随机对照试验。
J Neuroeng Rehabil. 2024 Sep 20;21(1):169. doi: 10.1186/s12984-024-01468-w.
6
Neuromodulatory transcranial magnetic stimulation (TMS) changes functional connectivity proportional to the electric-field induced by the TMS pulse.神经调节性经颅磁刺激(TMS)改变功能连接,其改变程度与TMS脉冲诱发的电场成正比。
Clin Neurophysiol. 2024 Sep;165:16-25. doi: 10.1016/j.clinph.2024.06.007. Epub 2024 Jun 19.
7
Intermittent theta-burst stimulation to the right dorsolateral prefrontal cortex may increase potentiated startle in healthy individuals.右背外侧前额叶皮质的间歇性 theta 爆发刺激可能会增加健康个体的增强性惊跳反应。
Neuropsychopharmacology. 2024 Sep;49(10):1619-1629. doi: 10.1038/s41386-024-01871-w. Epub 2024 May 13.
8
A New Angle on Transcranial Magnetic Stimulation Coil Orientation: A Targeted Narrative Review.经颅磁刺激线圈方位的新视角:有针对性的叙述性综述。
Biol Psychiatry Cogn Neurosci Neuroimaging. 2024 Aug;9(8):744-753. doi: 10.1016/j.bpsc.2024.04.018. Epub 2024 May 8.
9
Personalized strategies of neurostimulation: from static biomarkers to dynamic closed-loop assessment of neural function.神经刺激的个性化策略:从静态生物标志物到神经功能的动态闭环评估。
Front Neurosci. 2024 Mar 7;18:1363128. doi: 10.3389/fnins.2024.1363128. eCollection 2024.
10
Personalized connectivity-based network targeting model of transcranial magnetic stimulation for treatment of psychiatric disorders: computational feasibility and reproducibility.基于个性化连接性的经颅磁刺激网络靶向模型治疗精神疾病:计算可行性与可重复性
Front Psychiatry. 2024 Feb 14;15:1341908. doi: 10.3389/fpsyt.2024.1341908. eCollection 2024.
采用经颅磁刺激技术在健康受试者中揭示右前额皮质活动与焦虑唤醒之间的机制联系。
Neuropsychopharmacology. 2020 Mar;45(4):694-702. doi: 10.1038/s41386-019-0583-5. Epub 2019 Dec 2.
4
Simulation of transcranial magnetic stimulation in head model with morphologically-realistic cortical neurons.基于形态逼真的皮质神经元的头模型中的经颅磁刺激模拟。
Brain Stimul. 2020 Jan-Feb;13(1):175-189. doi: 10.1016/j.brs.2019.10.002. Epub 2019 Oct 7.
5
Multi-Scale Computational Models for Electrical Brain Stimulation.用于脑电刺激的多尺度计算模型
Front Hum Neurosci. 2017 Oct 26;11:515. doi: 10.3389/fnhum.2017.00515. eCollection 2017.
6
Where and what TMS activates: Experiments and modeling.TMS 的激活部位和激活区域:实验与建模。
Brain Stimul. 2018 Jan-Feb;11(1):166-174. doi: 10.1016/j.brs.2017.09.011. Epub 2017 Sep 27.
7
Frequency-specific neuromodulation of local and distant connectivity in aging and episodic memory function.频率特异性神经调节与衰老和情景记忆功能中的局部和远距离连接。
Hum Brain Mapp. 2017 Dec;38(12):5987-6004. doi: 10.1002/hbm.23803. Epub 2017 Sep 8.
8
Reducing State Anxiety Using Working Memory Maintenance.利用工作记忆维持来减轻状态焦虑。
J Vis Exp. 2017 Jul 19(125):55727. doi: 10.3791/55727.
9
Threat of shock increases excitability and connectivity of the intraparietal sulcus.休克威胁会增加顶内沟的兴奋性和连通性。
Elife. 2017 May 30;6:e23608. doi: 10.7554/eLife.23608.
10
Reprint of ''Using neuroimaging to individualize TMS treatment for depression: Toward a new paradigm for imaging-guided intervention''.《利用神经影像学实现抑郁症经颅磁刺激治疗个体化:迈向影像引导干预的新范式》重印版
Neuroimage. 2017 May 1;151:65-71. doi: 10.1016/j.neuroimage.2017.03.049.