人群优化电极蒙太奇近似个性化优化经颅颞叶干扰刺激

IF 7 2区 医学 Q1 BIOLOGY
Kanata Yatsuda , Mariano Fernández-Corazza , Wenwei Yu , Jose Gomez-Tames
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引用次数: 0

摘要

背景:有效的经颅颞叶干扰刺激(tTIS)需要优化的电极配置来准确靶向脑深部结构。虽然使用高分辨率结构MRI进行个体化电场分析可以实现精确的电极放置,但其临床实用性受到与成像、专用软件和导航系统相关的重大成本的限制。另外,通过基于群体的电场分析优化的标准化电极蒙太奇可能会克服这些限制,尽管目前尚不清楚这种方法接近个性化优化的准确性。目的评价利用群电场分析优化tTIS蒙太奇的可行性。具体来说,它寻求使用人口代理方法最大化颅内电场,并将其功效与个体化电场优化进行比较。方法优化不同人群的蒙太奇,平衡脑深部目标的焦点和电场强度之间的权衡。并与传统的个体化电场优化方法进行了比较。分析了人口规模和年龄等因素对蒙太奇选择和效果的影响。结果基于人群的电场优化与个体化分析具有相当的聚焦性和靶向准确性,差异高达17%。与年龄匹配的人口代理相比,人口代理和目标个体之间的年龄不匹配降低了高达8.3%的焦点。此外,种群规模不足导致蒙太奇优化的不一致性,尽管这些对于大于40个个体的种群来说可以忽略不计。结论本研究表明,基于群体的电场分析在聚焦性和强度方面可以达到与个体化水平的电场分析相当的靶向效果。通过消除对患者特异性MRI扫描的需要,该方法显着提高了tTIS在各种研究和临床应用中的可及性和实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Population-optimized electrode montage approximates individualized optimization in transcranial temporal interference stimulation

Background

Effective transcranial temporal interference stimulation (tTIS) requires an optimized electrode configuration to target deep brain structures accurately. While individualized electric field analysis using high-resolution structural MRI enables precise electrode placement, its clinical practicality is limited by significant costs associated with imaging, specialized software, and navigation systems. Alternatively, standardized electrode montages optimized through population-based electric field analysis might overcome these limitations, although it remains unclear how accurately this approach approximates individualized optimization.

Aim

This study evaluates the feasibility of using group-level electric field analysis to optimize the tTIS montage. Specifically, it seeks to maximize the intracranial electric field using a population-proxy approach and compare its efficacy to individualized electric field optimization.

Method

We optimize the montage across various populations, balancing the trade-off between focality and electric field strength at deep brain targets. The method is compared to conventional individualized electric field-based optimization. Factors such as population size and age were analyzed for their impact on montage selection and effectiveness.

Results

Population-based electric field optimization demonstrated comparable focality and targeting accuracy to individualized analysis, with a difference of up to 17 %. Age mismatch between the population proxy and the target individual reduced the focality of up to 8.3 % compared to an age-matched population proxy. Also, insufficient population size led to inconsistencies in montage optimization, although these were negligible for populations larger than 40 individuals.

Conclusion

This study demonstrates the capability of population-based electric field analysis to achieve targeting effects comparable to individualized-level electric field analysis in terms of focality and intensity. By eliminating the need for patient-specific MRI scans, this approach significantly enhances the accessibility and practicality of tTIS in diverse research and clinical applications.
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来源期刊
Computers in biology and medicine
Computers in biology and medicine 工程技术-工程:生物医学
CiteScore
11.70
自引率
10.40%
发文量
1086
审稿时长
74 days
期刊介绍: Computers in Biology and Medicine is an international forum for sharing groundbreaking advancements in the use of computers in bioscience and medicine. This journal serves as a medium for communicating essential research, instruction, ideas, and information regarding the rapidly evolving field of computer applications in these domains. By encouraging the exchange of knowledge, we aim to facilitate progress and innovation in the utilization of computers in biology and medicine.
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