Optimization of multiple coils immersed in a conducting liquid for half-hemisphere or whole-brain deep transcranial magnetic stimulation: A simulation study

脑刺激 磁刺激 电磁线圈 不连续性分类 计算机科学 材料科学 刺激 磁场 核磁共振 生物医学工程 医学 磁共振成像 物理 神经科学 电气工程 工程类 数学 心理学 数学分析
作者
Sonia C. P. Sousa,Jorge Almeida,Pedro C. Miranda,Ricardo Salvador,Joao Silvestre,Hugo Simoes,Paulo Crespo
出处
期刊:International Conference of the IEEE Engineering in Medicine and Biology Society 被引量:2
标识
DOI:10.1109/embc.2014.6943647
摘要

Transcranial magnetic stimulation (TMS) was proposed in 1985. Nevertheless, its wider use in the treatment of several neurologic diseases has been hindered by its inability to stimulate deep-brain regions. This is mainly due to the physical limiting effect arising from the presence of surface discontinuities, particularly between the scalp and air. Here, we present the optimization of a system of large multiple coils for whole-brain and half-hemisphere deep TMS, termed orthogonal configuration. COMSOL(®)-based simulations show that the system is capable of reaching the very center of a spherical brain phantom with 58% induction relative to surface maximum. Such penetration capability surpasses to the best of our knowledge that of existing state of the art TMS systems. This induction capability strongly relies on the immersion of the stimulating coils and part of the head of the patient in a conducting liquid (e.g. simple saline solution). We show the impact of the presence of this surrounding conducting liquid by comparing the performance of our system with and without such liquid. In addition, we also compare the performance of the proposed coil with that of a circular coil, a figure-eight coil, and the H-coil. Finally, in addition to its whole-brain stimulation capability (e.g. potentially useful for prophylaxis of epileptic patients) the system is also able to stimulate mainly one brain hemisphere, which may be useful in stroke rehabilitation, among other applications.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
2秒前
科研通AI2S应助yyjiang采纳,获得10
6秒前
钟意发布了新的文献求助10
6秒前
8秒前
14秒前
Autor完成签到,获得积分10
15秒前
15秒前
16秒前
hxy007完成签到,获得积分10
16秒前
17秒前
19秒前
19秒前
李健应助明亮的丹翠采纳,获得10
20秒前
cliche发布了新的文献求助10
20秒前
二十二点36完成签到,获得积分10
21秒前
XHY发布了新的文献求助10
21秒前
施行天发布了新的文献求助10
21秒前
在水一方应助jackten采纳,获得10
23秒前
23秒前
SongWhizz发布了新的文献求助10
24秒前
度帕明发布了新的文献求助10
25秒前
25秒前
崔布林完成签到 ,获得积分10
26秒前
科目三应助XHY采纳,获得30
26秒前
hbkyt完成签到,获得积分10
26秒前
28秒前
太阳出来暖洋洋完成签到 ,获得积分10
28秒前
30秒前
稚久发布了新的文献求助10
30秒前
30秒前
30秒前
学习快乐应助动人的悒采纳,获得10
31秒前
是咸鱼呀完成签到,获得积分10
31秒前
31秒前
32秒前
33秒前
34秒前
34秒前
王金金发布了新的文献求助10
35秒前
高分求助中
Sustainable Land Management: Strategies to Cope with the Marginalisation of Agriculture 1000
Corrosion and Oxygen Control 600
Python Programming for Linguistics and Digital Humanities: Applications for Text-Focused Fields 500
Love and Friendship in the Western Tradition: From Plato to Postmodernity 500
Heterocyclic Stilbene and Bibenzyl Derivatives in Liverworts: Distribution, Structures, Total Synthesis and Biological Activity 500
重庆市新能源汽车产业大数据招商指南(两链两图两池两库两平台两清单两报告) 400
Division and square root. Digit-recurrence algorithms and implementations 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2548870
求助须知:如何正确求助?哪些是违规求助? 2176702
关于积分的说明 5605883
捐赠科研通 1897471
什么是DOI,文献DOI怎么找? 947013
版权声明 565447
科研通“疑难数据库(出版商)”最低求助积分说明 503985