Home Siemens Healthineers Unveils Full-Workflow Brain-Computer Interface Solution, Proven in Neuralink Clinical Trials

Siemens Healthineers Unveils Full-Workflow Brain-Computer Interface Solution, Proven in Neuralink Clinical Trials

Nov 05, 2025 21:57 CST Updated 21:57
Siemens Healthineers

Integrated Healthcare Service Provider

Neuralink

Brain-Computer Interface System Developer

(Source: Shangguan News)

Brain-computer interface (BCI) technology offers revolutionary therapeutic hope for individuals with paralysis, Parkinson’s disease, and blindness. Its core lies in the precise implantation of thousands of electrodes into fragile functional areas of the brain, demanding exceptionally high accuracy in image-guided localization and surgical planning. At the 8th China International Import Expo (CIIE), Siemens Healthineers unveiled a comprehensive end-to-end BCI solution covering preoperative planning, intraoperative navigation, and postoperative assessment. By integrating multiple cutting-edge imaging devices, this solution aims to advance BCI technology from research laboratories into clinical practice.

Preoperative Planning: Micron-Level Imaging Lays the Foundation for Precision

The aforementioned two devices were successfully applied in Neuralink’s clinical trials for “vision restoration” and “thought-controlled control,” facilitating the transition of invasive brain-computer interface (BCI) surgery from “blind insertion” to a “visible, plannable, and controllable” procedure, earning high praise from Neuralink’s research team. Furthermore, the ARTIS icono ceiling Xpand further enhances the precision and safety of electrode implantation for interventional brain-computer interfaces.

The key to successful brain-computer interface (BCI) surgery lies in the precise localization of implantation targets, avoidance of critical anatomical structures, and clear identification of target regions for connection. To this end, physicians must conduct comprehensive and accurate preoperative assessments of brain anatomy, vascular distribution, hemodynamic status, and functional brain areas. However, traditional imaging-based target localization suffers from numerous drawbacks, such as insufficient accuracy, low image resolution, and slow scanning speeds. These issues result in inadequate electrode implantation precision, hinder the establishment of personalized functional brain maps, and may even cause microvascular injury and hemorrhage in the surgical field.

As the critical interface connecting the central and peripheral nervous systems, clear imaging of spinal nerve roots is a fundamental prerequisite for precise surgical intervention. High-resolution spinal nerve root imaging serves as a precision navigation map, enabling physicians to ensure accurate targeting of surgical sites, avoid ineffective stimulation, and prevent permanent nerve damage. The MAGNETOM Cima.X, an ultra-high gradient field MRI system from Siemens Healthineers, achieves a spinal nerve root display resolution of up to 0.4 mm—five times higher than that of conventional MRI systems. It clearly visualizes the microanatomical structures of the spinal cord and nerve roots, providing robust technical support for physicians in performing precise brain-spine interface therapies.Furthermore, given the individual variability in the size and location of cortical functional areas, their clear visualization allows physicians to precisely locate small neural clusters responsible for specific functions. This is a prerequisite for achieving "thought" control, maximizing the preservation of normal function, and mitigating surgical risks. Leveraging ultra-high-resolution imaging at 100 micrometers, the MAGNETOM Cima.X can clearly localize and display cortical functional areas, offering a twofold improvement over conventional MRI and laying the foundation for the precise implantation of electrode targets.In addition, brain functional network activity exhibits continuous dynamic evolution, whereas traditional MRI-based functional imaging techniques can only present static network structures. The MAGNETOM Cima.X breaks through this limitation by enabling the mapping of personalized "brain connectomes." Equipped with a 64-channel neural data coil and Simultaneous Multi-Slice (SMS) acquisition technology, the MAGNETOM Cima.X enhances temporal resolution to up to 300 microseconds. This capability allows physicians to observe the dynamic changes in brain functional networks in real time, accurately decode brain intentions, and thereby improve the decoding accuracy and human-machine interaction efficiency of brain-computer interfaces.

The NAEOTOM Alpha photon-counting CT achieves ultra-high spatial resolution of 110 micrometers, enabling precise three-dimensional reconstruction of the skull and cerebral vasculature. It provides holographic digital imaging of cerebral arteriovenous structures and blood flow assessment, helping surgeons comprehensively map critical vessels and functional areas along the implantation pathway preoperatively, thereby effectively mitigating the risk of intraoperative hemorrhage. Together, these two cutting-edge devices establish a one-stop imaging闭环 for “micron-level skull–vasculature–brain function.”

Intraoperative Navigation: Multimodal Image Fusion for Guided Precision Implantation

The brain is a delicate and highly restricted domain where nerves and blood vessels are intricately interwoven, featuring complex structures that are extremely fragile. Implanting electrodes for brain-computer interfaces is akin to navigating through a minefield; even a minuscule deviation can damage critical blood vessels, causing hemorrhage, or inadvertently injure neural pathways in functional areas, resulting in irreversible damage. Intraoperative image navigation provides an indispensable "high-definition map," guiding electrodes in real time to safely reach the target with sub-millimeter precision.

Siemens Healthineers’ Multimodal Image Fusion Solution integrates the MAGNETOM Cima.X MRI, the NAEOTOM Alpha dual-source photon-counting CT, and the ARTIS icono ceiling Xpand high-speed spectral angiography system to construct personalized 3D anatomical maps encompassing functional brain areas, vascular pathways, and bony structures. Compared to electroencephalography (EEG), which provides only functional signals, this solution offers comprehensive imaging support for precise surgical navigation and real-time outcome assessment, transforming electrode implantation from an experience-dependent “blind procedure” into targeted, precise placement within functional brain regions. Leveraging innovative spectral imaging technology, the ARTIS icono ceiling Xpand delivers specific imaging tailored to brain-computer interface electrode materials, significantly enhancing localization accuracy while reducing radiation dose by 70%. Its seamless integration with photon-counting CT provides critical path navigation for precise implantation, ensuring surgical success.

Postoperative Assessment: Long-Term Monitoring to Ensure Safe Use

Post-operative Care for Brain-Computer Interfaces: Establishing a Systematic Long-term Assessment and Monitoring System to Ensure the Stable Operation of Implanted Electrodes and Patient Safety. Doctors need to continuously monitor the stability of brain electrode positioning, changes in cerebral hemodynamics, and neural cell remodeling.

Compared to conventional CT, which can only monitor postoperative intracranial hemorrhage, NAEOTOM Alpha represents a qualitative leap. With its ultra-high spatial resolution of 110 micrometers, it effectively eliminates artifact interference. This capability not only allows for clear visualization of the relative positions between electrodes and functional brain areas, as well as sensitive detection of millimeter-level displacements, but also enables precise identification of immune responses in tissues surrounding the implants. Consequently, it helps prevent signal attenuation, ensuring long-term safe usage for patients.

Original Title: "Successfully Applied in Musk's Brain-Computer Interface Clinical Trials! Siemens Healthineers Showcases Full-Process Solution for Brain-Computer Interfaces"

Column Editor: Gao Yang

Source: Author: Xinmin Evening News, Zuo Yan