高时空分辨率无创颅内源信号定位与解码。

IF 10.5 Q1 ENGINEERING, BIOMEDICAL
Cyborg and bionic systems (Washington, D.C.) Pub Date : 2025-04-09 eCollection Date: 2025-01-01 DOI:10.34133/cbsystems.0206
Hao Zhang, Xue Wang, Guowei Chen, Yanqiu Zhang, Xiqi Jian, Feng He, Minpeng Xu, Dong Ming
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引用次数: 0

摘要

无创脑电图(EEG)信号的高时空分辨率是精细脑机操作的重要前提。然而,传统的头皮EEG受体积导体效应的影响,空间分辨率较低,难以准确识别脑机操作的意图。近年来,经颅聚焦超声调制脑电图技术日益成为研究热点,该技术有望获得高时空分辨率、无创的声电耦合信号。鉴于此,本研究建立了基于真实脑模型和128阵相控阵的经颅聚焦超声数值模拟模型和实验平台,进一步构建了基于声场平台的三维经颅多源偶极子定位解码数值模拟模型和实验平台,并开发了高精度定位解码算法。结果表明,仿真引导相控阵声场实验平台在纯水和经颅条件下均能在安全阈值内实现精确聚焦,调制范围为10 mm,与换能器自聚焦相比,焦点声压提高200%以上。在偶极子定位解码结果方面,本文算法的定位信噪比为24.18 dB,比传统算法提高了50.59%,源信号解码精度大于0.85。本研究为高时空分辨率无创脑电信号采集和精确脑机操作提供了可靠的实验基础和技术支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Noninvasive Intracranial Source Signal Localization and Decoding with High Spatiotemporal Resolution.

High spatiotemporal resolution of noninvasive electroencephalography (EEG) signals is an important prerequisite for fine brain-computer manipulation. However, conventional scalp EEG has a low spatial resolution due to the volume conductor effect, making it difficult to accurately identify the intent of brain-computer manipulation. In recent years, transcranial focused ultrasound modulated EEG technology has increasingly become a research hotspot, which is expected to acquire noninvasive acoustoelectric coupling signals with a high spatial and temporal resolution. In view of this, this study established a transcranial focused ultrasound numerical simulation model and experimental platform based on a real brain model and a 128-array phased array, further constructed a 3-dimensional transcranial multisource dipole localization and decoding numerical simulation model and experimental platform based on the acoustic field platform, and developed a high-precision localization and decoding algorithm. The results show that the simulation-guided phased-array acoustic field experimental platform can achieve accurate focusing in both pure water and transcranial conditions within a safe threshold, with a modulation range of 10 mm, and the focal acoustic pressure can be enhanced by more than 200% compared with that of transducer self-focusing. In terms of dipole localization decoding results, the proposed algorithm in this study has a localization signal-to-noise ratio of 24.18 dB, which is 50.59% higher than that of the traditional algorithm, and the source signal decoding accuracy is greater than 0.85. This study provides a reliable experimental basis and technical support for high-spatiotemporal-resolution noninvasive EEG signal acquisition and precise brain-computer manipulation.

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CiteScore
7.70
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审稿时长
21 weeks
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