Implantable, Wireless Biosensors and Biodevices for Neuroscience Research, 2nd Edition

A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Biosensor and Bioelectronic Devices".

Deadline for manuscript submissions: 31 August 2026 | Viewed by 7708

Special Issue Editors


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Guest Editor
Institutes of Brain Science, Fudan University, Shanghai, China
Interests: neurobiology
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Center for Biomedical Engineering, Brown University, Providence, RI, USA
Interests: neuroengineering, neuromotor disease, neuroprosthetics, responsive neuromodulation, spinal cord injury
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Biomedical Engineering, Hainan University, Haikou, China
Interests: wireless implantable biomedical sensors; neural recording; stimulation systems; implantable neural interfaces; brain-computer interfaces

Special Issue Information

Dear Colleagues,

With the rapidly increasing promise of cutting-edge neuroscience research to achieve translational success, biosensing and neuromodulation technologies have seen rapid and significant innovation. Among the key innovations driving new research and future therapies is the development of implantable, wireless tools to interact with the nervous system. Implantable systems enable proximal access to biological signal sources and offer high spatial and temporal signal resolution with unmatchable quality compared with other modalities. Additionally, cellular-level optical functional imaging can further help dissect neural circuits using recordings from genetically targeted neuronal types. These systems, however, present significant technological challenges, such as miniaturization, biocompatibility, high-speed yet low-power data communication, wireless power transfer, and hermeticity—challenges that continue to inspire biosensor researchers to use multi-disciplinary knowledge to push the limits of the field.

This Special Issue will gather advances highlighting novel device development and original work in the area of implantable biosensors and biodevices for neuroscience research. Topics of interest include, but are not limited to, implantable microsystems for biosensing; multichannel electrical, optical, or chemical electrodes and sensors; bio-interrogation devices; wireless power and data transfer for implantable neurosensors and modulators; low-power and miniaturized electronics for neural data processing; and cutting-edge applications of the aforementioned techniques.

Prof. Dr. Jiayi Zhang
Dr. David A. Borton
Prof. Dr. Ming Yin
Guest Editors

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Keywords

  • implantable
  • wireless
  • neurosensing
  • neuromodulation
  • biodevices
  • low power
  • biocompatibility
  • bidirectional interfaces

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Published Papers (2 papers)

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20 pages, 6524 KB  
Article
Foreign Body Reaction to Neural Implants: A Comparative Study of Polymer Toxicity and Tissue Response
by Ciara Makievskaya, Anna Brezgunova, Nadezda Andrianova, Evgeny Kelm, Maria Solovyova, Gelena Naumova, Alina Zeinalova, Olga Gancharova, Tatiana Bushkova, Daniil Kozlov, Valery Putlayev, Pavel Evdokimov, Alexander Petrov, Mikhail Lebedev, Egor Plotnikov and Vasily Popkov
Biosensors 2025, 15(9), 599; https://doi.org/10.3390/bios15090599 - 11 Sep 2025
Viewed by 2032
Abstract
This study investigated the toxicity of ten polymer materials intended for the development of invasive neural interfaces improving the treatment of neurological diseases. Most of the materials for neural implants can cause traumatization of the surrounding tissue, inflammation, and foreign body reaction. In [...] Read more.
This study investigated the toxicity of ten polymer materials intended for the development of invasive neural interfaces improving the treatment of neurological diseases. Most of the materials for neural implants can cause traumatization of the surrounding tissue, inflammation, and foreign body reaction. In this study, in vitro and in vivo toxicity assessment was performed for nylon 618 (NY), polycaprolactone (PCL), polyethylene glycol diacrylate (PEGDA), polydimethylsiloxane (PDMS), polyethylene terephthalate (PET), polylactide (PLA), thermoplastic polyurethane (TPU), polypropylene (PP), polyethylene terephthalate glycol (PET-G), and polyimide (PI). The biocompatibility of these ten materials was assessed based on cell adhesion, growth and cytotoxicity on neural (PC-12) and fibroblast (NRK-49F) cultures. Furthermore, brain tissue responses to the implanted phantom scaffolds were analyzed in rats. According to these measurements, PI showed the highest compatibility for both cell types. PEGDA exhibited cytotoxic effects, low cell adhesion and the strongest foreign body reaction, including fibrosis and multinucleated cell formation. The other polymers showed lower pathological responses which makes them potentially usable for neural interfacing. We conclude that PEGDA appears to be unsuitable for long-term use due to adverse tissue and cellular reactions, whereas PI, PLA, PDMS and TPU hold promise as materials for safe and effective neural interface applications. Full article
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15 pages, 3266 KB  
Article
Distinct Neural Activities in Hippocampal Subregions Revealed Using a High-Performance Wireless Microsystem with PtNPs/PEDOT:PSS-Enhanced Microelectrode Arrays
by Peiyao Jiao, Qianli Jia, Shuqi Li, Jin Shan, Wei Xu, Yu Wang, Yu Liu, Mingchuan Wang, Yilin Song, Yulian Zhang, Yanbing Yu, Mixia Wang and Xinxia Cai
Biosensors 2025, 15(4), 262; https://doi.org/10.3390/bios15040262 - 18 Apr 2025
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Abstract
Wireless microsystems for neural signal recording have emerged as a solution to overcome the limitations of tethered systems, which restrict the mobility of subjects and introduce noise interference. However, existing microsystems often face data throughput, signal processing, and long-distance wireless transmission challenges. This [...] Read more.
Wireless microsystems for neural signal recording have emerged as a solution to overcome the limitations of tethered systems, which restrict the mobility of subjects and introduce noise interference. However, existing microsystems often face data throughput, signal processing, and long-distance wireless transmission challenges. This study presents a high-performance wireless microsystem capable of 32-channel, 30 kHz real-time recording, featuring Field Programmable Gate Array (FPGA)-based signal processing to reduce transmission load. The microsystem is integrated with platinum nanoparticles/poly (3,4-ethylenedioxythiophene) polystyrene sulfonate-enhanced microelectrode arrays for improved signal quality. A custom NeuroWireless platform was developed for seamless data reception and storage. Experimental validation in rats demonstrated the microsystem’s ability to detect spikes and local field potentials from the hippocampal CA1 and CA2 subregions. Comparative analysis of the neural signals revealed distinct activity patterns between these subregions. The wireless microsystem achieves high accuracy and throughput over distances up to 30 m, demonstrating its resilience and potential for neuroscience research. This work provides a compact, adaptable solution for multi-channel neural signal detection and offers a foundation for future applications in brain–computer interfaces. Full article
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