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基于电场的经颅磁刺激剂量控制

Electric-field-based dosing for TMS.

作者信息

Numssen Ole, Kuhnke Philipp, Weise Konstantin, Hartwigsen Gesa

机构信息

Lise Meitner Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.

Methods and Development Group Brain Networks, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.

出版信息

Imaging Neurosci (Camb). 2024 Mar 11;2. doi: 10.1162/imag_a_00106. eCollection 2024.

DOI:10.1162/imag_a_00106
PMID:40800463
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12247572/
Abstract

Transcranial magnetic stimulation (TMS) is an invaluable non-invasive brain stimulation (NIBS) technique to modulate cortical activity and behavior, but high within- and between-participant variability limits its efficacy and reliability. Here, we explore the potential of electric field (e-field) based TMS dosing to reduce its variability and discuss current challenges as well as future pathways. In contrast to previous dosing approaches, e-field dosing better matches the stimulation strength across cortical areas, both within and across individuals. Challenges include methodological uncertainties of the e-field simulation, target definitions, and comparability of different stimulation thresholds across cortical areas and NIBS protocols. Despite these challenges, e-field dosing promises to substantially improve NIBS applications in neuroscientific research and personalized medicine.

摘要

经颅磁刺激(TMS)是一种用于调节皮层活动和行为的宝贵的非侵入性脑刺激(NIBS)技术,但参与者内部和之间的高度变异性限制了其有效性和可靠性。在此,我们探讨基于电场(e-field)的TMS剂量设定以降低其变异性的潜力,并讨论当前的挑战以及未来的途径。与先前的剂量设定方法相比,电场剂量设定能更好地匹配个体内部和个体之间跨皮层区域刺激强度。挑战包括电场模拟的方法学不确定性、靶点定义以及跨皮层区域和NIBS方案的不同刺激阈值的可比性。尽管存在这些挑战,电场剂量设定有望大幅改善NIBS在神经科学研究和个性化医疗中的应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48f2/12247572/a2ff05842db9/imag_a_00106_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48f2/12247572/de99d31743e9/imag_a_00106_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48f2/12247572/7d65a5a318bc/imag_a_00106_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48f2/12247572/255b5261c838/imag_a_00106_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48f2/12247572/a2ff05842db9/imag_a_00106_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48f2/12247572/de99d31743e9/imag_a_00106_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48f2/12247572/7d65a5a318bc/imag_a_00106_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48f2/12247572/255b5261c838/imag_a_00106_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48f2/12247572/a2ff05842db9/imag_a_00106_fig4.jpg

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本文引用的文献

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Brain Stimul. 2024 Jan-Feb;17(1):1-3. doi: 10.1016/j.brs.2023.11.017. Epub 2023 Dec 4.
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Modeling the effects of transcranial magnetic stimulation on spatial attention.经颅磁刺激对空间注意力的影响建模。
Phys Med Biol. 2023 Oct 23;68(21). doi: 10.1088/1361-6560/acff34.
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Outcome measures for electric field modeling in tES and TMS: A systematic review and large-scale modeling study.经颅电刺激和磁刺激中电场建模的效标测量:系统评价和大规模建模研究。
bioRxiv. 2025 Feb 5:2024.10.25.619982. doi: 10.1101/2024.10.25.619982.
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Precision Network Modeling of Transcranial Magnetic Stimulation Across Individuals Suggests Therapeutic Targets and Potential for Improvement.跨个体经颅磁刺激的精准网络建模揭示治疗靶点及改善潜力。
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The effect of pulse shape in theta-burst stimulation: Monophasic vs biphasic TMS.双相磁刺激与单相磁刺激中脉冲形状的影响。
Brain Stimul. 2023 Jul-Aug;16(4):1178-1185. doi: 10.1016/j.brs.2023.08.001. Epub 2023 Aug 4.
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Rapid estimation of cortical neuron activation thresholds by transcranial magnetic stimulation using convolutional neural networks.使用卷积神经网络通过经颅磁刺激快速估计皮质神经元的激活阈值。
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