Department of Information Technology, WAVES research group, Ghent University, Ghent, Belgium.
J Neural Eng. 2019 Apr;16(2):026015. doi: 10.1088/1741-2552/aafa38. Epub 2018 Dec 20.
While transcranial focused ultrasound is a very promising neuromodulation technique for its non-invasiveness and high spatial resolution, its application to the human deep brain regions such as the subthalamic nucleus (STN) is relatively new. The objective of this study is to design a simple ultrasound transducer and study the transcranial wave propagation through a highly realistic human head model. The effects of skull morphology and skull and brain tissue properties on the focusing performance and energy deposition must therefore be known.
A full-wave finite-difference time-domain simulation platform was used to design and simulate ultrasound radiation from a single-element focused transducer (SEFT) to the STN. Simulations were performed using the state-of-the-art Multimodal Imaging-based and highly Detailed Anatomical (MIDA) head model. In addition, the impact of changes in sound speed, density, and tissue attenuation coefficients were assessed through a sensitivity analysis.
A SEFT model was designed to deliver an intensity of around 100 [Formula: see text] to the STN region; 20% of the STN volume was sonicated with at least half of the maximum of the peak intensity and it was predicted that 61.5% of the volume of the beam (above half of the peak intensity) falls inside the STN region. The sensitivity analysis showed that the skull's sound speed is the most influential acoustic parameter, which must be known with less than 1.2% error to obtain an acceptable accuracy in intracranial fields and focusing (for less than 5% error).
Ultrasound intensity delivery at the STN by a simple single element transducer is possible and could be a promising alternative to complex multi-element phased arrays, or more general, to invasive or less focused (non-acoustic) neuromodulation techniques. Accurate acoustic skull and brain parameters, including detailed skull geometry, are needed to ensure proper targeting in the deep brain region.
尽管经颅聚焦超声具有非侵入性和高空间分辨率等优点,是一种很有前途的神经调控技术,但将其应用于人类深部脑区,如丘脑底核(STN),则相对较新。本研究旨在设计一种简单的超声换能器,并研究经颅波在高度逼真的人体头部模型中的传播。因此,必须了解颅骨形态以及颅骨和脑组织特性对聚焦性能和能量沉积的影响。
采用全波有限差分时域模拟平台,对单阵元聚焦换能器(SEFT)向 STN 辐射的超声进行设计和模拟。使用最先进的基于多模态成像和高度详细解剖(MIDA)的头部模型进行模拟。此外,还通过灵敏度分析评估了声速、密度和组织衰减系数变化的影响。
设计了一个 SEFT 模型,以将约 100 [Formula: see text] 的强度传递到 STN 区域;20%的 STN 体积被超声处理,至少有一半的峰值强度达到最大值,预计波束的 61.5%(高于峰值强度的一半)落在 STN 区域内。灵敏度分析表明,颅骨的声速是最具影响力的声学参数,必须以小于 1.2%的误差来准确获知,才能在颅内场和聚焦中获得可接受的精度(误差小于 5%)。
通过简单的单阵元换能器在 STN 处传递超声强度是可行的,并且可能成为复杂多阵元相控阵或更一般的侵入性或非聚焦(非声)神经调控技术的有前途的替代方案。需要准确的颅骨和大脑声学参数,包括详细的颅骨几何形状,以确保在深部脑区的正确靶向。