超声成像与调控融合路径的突破与启示——评超声脑机接口闭环体系构建的相关研究(特邀)
收稿日期: 2026-03-09
修回日期: 2026-03-28
录用日期: 2026-04-02
网络出版日期: 2026-04-29
基金资助
“脑科学与类脑计划”国家科技重大专项(青年科学家B类项目);“脑科学与类脑计划”国家科技重大专项(2025ZD0218600)
Breakthroughs and Implications in the Integration Pathways of Ultrasound Imaging and Modulation: A Review of Studies on the Construction of a Closed-Loop Ultrasound Brain-Computer Interface System (Invited)
Received date: 2026-03-09
Revised date: 2026-03-28
Accepted date: 2026-04-02
Online published: 2026-04-29
超声技术正在突破传统影像技术的功能边界,逐步形成兼具脑状态读取、精准调控与系统集成的新体系.本文聚焦郑元义教授团队在超声断层成像(ultrasound tomography, UT)、超声定位显微成像(ultrasound localization microscopy, ULM)、低强度脉冲超声(low-intensity pulsed ultrasound, LIPUS)调控及可穿戴超声系统等方面的代表性进展,梳理其由单一成像诊断向“感知—调控—反馈”闭环架构演进的技术逻辑.其关键贡献在于提出以统一声学载体为基础的超声脑机接口(ultrasound brain-computer interface, U-BCI)思路,推动超声由辅助诊疗工具转向脑机交互介质.这一路径为无创深部神经调控、连续生理监测及院内外一体化干预提供了新框架,也为脑机接口临床转化与神经干预技术发展提供了新方向.
徐天乐 , 高郑润 , 季诚昕 . 超声成像与调控融合路径的突破与启示——评超声脑机接口闭环体系构建的相关研究(特邀)[J]. 上海交通大学学报, 2026 , 60(4) : 523 -530 . DOI: 10.16183/j.cnki.jsjtu.2026.105
Ultrasound technology is moving beyond the functional limits of traditional imaging and modalities, gradually developing into a new paradigm that integrates brain-state sensing, precise modulation, and system integration. This paper focuses on the representative advances made by Professor Zheng Yuanyi’s team in ultrasound tomography (UT), ultrasound localization microscopy (ULM), low-intensity pulsed ultrasound (LIPUS) neuromodulation, and wearable ultrasound systems. It systematically analyzes the technological evolution from single-modality imaging diagnostics to a closed-loop framework of “sensing—modulation—feedback”. A key contribution of this paper lies in the proposal of an ultrasound brain-computer interface (U-BCI) framework based on a unified acoustic carrier, promoting ultrasound from an auxiliary diagnostic and therapeutic tool to a medium for brain-computer interaction. This pathway provides a new framework for noninvasive deep neuromodulation, continuous physiological monitoring, and integrated in-hospital and out-of-hospital interventions, and offers a new direction for the clinical translation of brain-computer interfaces and the advancement of neurointerventional technologies.
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