Summarizes the evolution of neural implant materials for addressing mechanical mismatch and biocompatibility. Elaborates on key biointerface strategies (such as structural imitation) for long-term stability. Highlights deep learning-driven noise reduction and hardware-integrated signal amplification for neural recording. Covers multimodal integration (bioelectronics/optoelectronics/drug delivery) and miniaturization of neural implants. Outlines future directions: intelligent closed-loop systems and wireless power supply for clinical translation.

In the world of brain-computer interfaces, it can seem as if one company sucks up all the oxygen in the room. Last month, Neuralink posted a video to X showing the first human subject to receive its brain implant, which will be named Telepathy. The recipient, a 29-year-old man who is paralyzed from the shoulders down, played computer chess, moving the cursor around with his mind. Learning to control it was “like using the force,” he says in the video.

Despite significant advancements over the years, conventional neural electrode interfaces remain insufficient for fully achieving these objectives, particularly in the context of long-term implantation. The primary limitation stems from the poor biocompatibility and mechanical mismatch between the interfacing electrodes and neural tissues, which induce a local immune response and scar tissue formation, thus decreasing the performance and useful lifespan. Therefore, neural interfaces should ideally exhibit appropriate stiffness and minimal foreign body reactions to mitigate neuroinflammation and enhance recording quality. This review provides an exhaustive analysis of the current understanding of the critical failure modes that may impact the performance of implantable neural electrodes. Additionally, this study provides a comprehensive overview of the current research on coating materials and design strategies for implanted neural interfaces and discusses the primary challenges currently facing long-term implantation of neural electrodes. Finally, we present our perspective and propose possible future research directions to improve implantable neural interfaces for BCIs.

Precision brain interfaces are transforming neurostimulation by combining brain-computer interfaces, neural biomarkers, artificial intelligence, and closed-loop feedback systems to deliver personalized treatment for treatment-resistant neurological and psychiatric disorders.

Bioadaptive brain–computer interface (BCI) surfaces can enhance the biocompatibility, electrochemical performance, and electrical signal transmission of neural electrodes. Given the heterogeneous and delicate structure of the electrodes, it is crucial that the surface modification features mild reaction conditions and a convenient fabrication process. In this study, we designed and synthesized a series of basic amino acid alternating copolymers bearing catechol groups and amino side chains via the Ugi four-component reaction, and utilized them to construct biocompatible surface coatings. These catechol-functionalized basic amino acid alternating copolymers formed robust and uniform coatings on silicon substrates, exhibiting low cytotoxicity (cell viability >80%) and minimal hemolytic activity (<2%). Furthermore, the coated silicon wafer surfaces displayed enhanced electrochemical properties. Notably, this bioadaptive coating simultaneously improves both the biocompatibility and the electrical signal transmission performance of neural electrode surfaces, demonstrating that catechol-based basic amino acid alternating copolymers are promising candidate materials for constructing bioadaptive coatings on neural electrodes.

Implanted brain–computer interfaces (iBCIs) translate brain activity recorded intracranially into commands for virtual or physical machines to restore or rehabilitate motor, sensory or speech functions. Currently, no iBCIs have been approved by regulatory agencies for the medical device market despite being in clinical trials since 1998, with little information available about their progress and outcomes. To address this gap, we conducted a review of all identified clinical trials of iBCIs for communication, motor control or restoration of tactile perception conducted between 1998 and 2023. We summarize findings from 21 research groups worldwide and their 67 participants who received implants to understand the challenges and opportunities in the iBCI field. This analysis highlights the importance of improving participant diversity, creating a participant registry to inform future research, regulatory and payer approvals, investor funding and new applications, adopting governed data sharing and standards, and boosting collaborative research.

This paper presented a systematic electromagnetic comparison between litz-wire and planar coil technologies for inductive wireless power transfer. The results demonstrate that planar coils can achieve mutual inductance and coupling coefficients comparable to litz-wire coils under controlled geometric conditions. However, coil miniaturization consistently reduces coupling robustness across all configurations. A key outcome of this study is that coupling-related metrics alone are insufficient to assess WPT coil performance. Although planar coils can provide competitive coupling, particularly when implemented on the receiver side, their efficiency related performance is strongly influenced by conduction losses. Under footprint-matched conditions, planar implementations exhibit a significant AC-loss penalty, primarily driven by increased conductor resistance rather than inductance mismatch. A basic planar-specific mitigation strategy consisting of increased copper thickness was shown to reduce losses and improve quality factor without altering the footprint. Nevertheless, under the investigated conditions, litz-wire coils remain advantageous in efficiency-critical applications. Planar coils, on the other hand, offer integration and manufacturing benefits and their performance can improve when appropriate loss-mitigation strategies are applied.

Nano-enabled living materials and living electronics represent the next frontier in integrating biology with advanced nanotechnology, offering unprecedented opportunities to design systems with programmable, adaptive, and multifunctional capabilities. By combining living cells or tissues with engineered nanostructures, living materials and electronics create platforms for bi-directional communication, sensing, and actuation. These advancements hold immense potential for applications in healthcare, energy systems, and environmental sustainability. This roadmap provides a comprehensive vision for advancing this transformative field, addressing scientific challenges, technological pathways, and long-term goals for deploying these hybrid systems at scale.

Chinese researchers have developed a revolutionary brain implant electrode array that matches the softness of neural tissue while maintaining superior electrical conductivity. The flexible implant, thinner than a human hair, successfully recorded neural activity with exceptional clarity for 18 months in animal trials, addressing a critical limitation in brain-computer interfaces. The breakthrough employs conductive hydrogel with interfacial percolation material, achieving unprecedented conductivity levels while eliminating the inflammation and scar tissue formation caused by traditional rigid platinum electrodes. Led by scientists from Tsinghua University, the University of Tokyo, and the Chinese Academy of Sciences, this innovation represents a significant advancement in long-term invasive neural interface technology.

Neuromodulation has emerged as a critical field in neuroscience, offering therapeutic strategies for diverse neurological disorders through precise control of neural activity. While conventional approaches employ electrode-based electrical stimulation and remote physical stimuli such as optical, magnetic, and ultrasound methods, recent advances leverage microsystem engineering, nanotechnology, and optogenetics to achieve unprecedented spatial and temporal resolution. Active devices prove particularly advantageous for closed-loop neuromodulation due to their integrated sensing, signal amplification, and adaptive regulation capabilities. This review examines recent advances in active neuromodulation devices, emphasizing their functional roles in neural regulation and their implementation in system-level applications. By analyzing various material platforms and device architectures, the review provides essential insights for designing next-generation neural interface systems capable of addressing the intricate signal transmission challenges inherent in both the central and peripheral nervous systems.

Neurointerventional techniques are facilitating a new class of neural interfaces that record and stimulate brain activity from within the cerebral vasculature. Conventional scalp electroencephalography (EEG) is safe and widely scalable but is limited by skull attenuation and volume conduction, whereas electrocorticography and stereoelectroencephalography provide higher-amplitude signals at the cost of craniotomy or stereotactic depth implantation and procedure-related morbidity. Endovascular approaches offer a distinct access paradigm by leveraging familiar catheter-based workflows to reach cortical veins and dural sinuses. They occupy a practical middle ground that enhances signal quality relative to scalp EEG while mitigating some of the procedural risks associated with open or multi-trajectory intracranial implants.

Neurosoft's SOFT ECoG Subdural Electrode. Neurosoft partners with Science Corp. to advance BCI system. Feb. 23, 2026. By Shani Alexander · No Comments.

Spinal cord injury remains a leading cause of permanent disability due to limited regenerative capacity and secondary injury cascades including neuroinflammation, oxidative stress, and cell death. Metal ions have emerged as promising modulators of the post-injury microenvironment, offering multi-pathway regulation of immune responses and neuroprotection. However, free-ion administration poses challenges including rapid diffusion and systemic toxicity. This review synthesizes advances in metal-ion strategies for spinal cord injury repair, emphasizing biomaterial-enabled delivery platforms such as hydrogels, scaffolds, nanoparticles, and metal-organic frameworks. It examines multiple metal modalities including zinc, magnesium, lithium, calcium, and iron, detailing their mechanisms in immune modulation, antioxidation, and regeneration. The review also explores multi-ion combination approaches tailored to acute, subacute, and chronic injury phases, while addressing critical translational challenges including release precision and long-term biosafety.

Researchers have developed a sensory-guided joint learning framework that significantly enhances non-invasive brain-computer interface (BCI) performance for naive users. By integrating human motor learning with adaptive machine learning, the framework achieved impressive accuracy rates of 86.0% for one-dimensional and 77.5% for two-dimensional motor imagery tasks. Tactile guidance proved instrumental in reducing user exploration and accelerating neural adaptation, while sample reweighting algorithms aligned decoder updates with individual learning patterns. This innovative approach transforms BCI training from passive calibration into active human-machine collaboration, leveraging reinforcement-driven neural plasticity alongside algorithmic optimization. The results demonstrate a practical pathway toward scalable neural interfaces applicable to communication and rehabilitation, addressing longstanding limitations of electroencephalography-based systems.

Endovascular neural interfaces represent a promising minimally invasive alternative to open brain surgery for neural stimulation and recording. Current designs rely on transvascular wires extending to the chest, which increase infection risk, thrombosis potential, and mechanical complications. This research addresses the critical challenge of eliminating these wires through wireless power transfer across tissue while adhering to safety absorption limits. The study evaluated optimized receiver and transmitter coils within endovascular constraints using computational modeling and in-vivo sheep testing. Results demonstrated feasible inductive power transfer efficiency of eleven percent at fifteen millimeters and two percent at thirty millimeters, delivering clinically relevant power of up to seventy-two milliwatts under safety standards. Ferrite-core designs proved superior for deeper implants with greater misalignment tolerance. This advancement toward fully wireless endovascular neural interfaces could substantially enhance patient safety and device reliability.

In 2026, brain-computer interface research crossed a threshold that scientists and clinicians have been working toward for decades. What was once a laboratory curiosity - translating thought into action through a digital intermediary - has emerged as a verified medical technology with measurable outcomes, expanding clinical trial data, and a regulatory framework that is, for the first time, beginning to match the pace of the science itself.

On March 13, 2026, China’s National Medical Products Administration approved the NEO-ONE SCI, a brain-computer interface made by Neuracle Technology (博睿康), a Shanghai-based company founded in 2011 by two Tsinghua University biomedical engineering PhDs. The device reads neural signals through electrodes placed outside the dura mater without penetrating brain tissue, helping quadriplegic patients regain hand grasp function via a pneumatic glove. It is the first invasive brain-computer interface to receive regulatory clearance for commercial medical use anywhere in the world.

Scientists are also investigating neuromodulation combined with brain-computer interface (BCI) technology to maximize neuroplasticity and improve motor recovery ...

The IpsiHand BCI for stroke rehabilitation is a perfect example: FDA-cleared in 2021, it only got its first Medicare billing code in 2024, and major private ...

The Stentrode is an endovascular electrode array — a stent-like mesh threaded through a blood vessel on a catheter and lodged in a vein next to the motor cortex ...