Implantable, Wireless Biosensors and Biodevices for Neuroscience Research

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

Deadline for manuscript submissions: 31 May 2024 | Viewed by 5999

Special Issue Editors


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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

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Guest Editor
1. Associate Professor of Engineering, School of Engineering, Brown University, Providence, RI, USA
2. Biomedical Engineer, Center for Neurotechnology and Neurorestoration, Department of Veterans Affairs, Washington, DC, USA
Interests: neuroengineering; neuromotor disease; neuroprosthetics; responsive neuromodulation; spinal cord injury

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Guest Editor
Institutes of Brain Science, Fudan University, Shanghai, China
Interests: visual function; brain computer interface; neuroscience

Special Issue Information

Dear Colleagues,

With the rapidly increasing promise of cutting-edge neuroscience research to reach 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 resolution of signals with a quality that cannot be matched by other modalities. Additionally, cellular-level optical functional imaging can further help in dissecting neural circuits by recordings from genetically targeted neuronal types. However, these systems present significant technological challenges (e.g., miniaturization, biocompatibility, high-speed yet low-power data communication, wireless power transfer, and hermeticity)—challenges which continue to inspire biosensor researchers to exploit multi-disciplinary knowledge to push the limits of the field.  

This Special Issue will gather advances highlighting novel device development and original work on 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; as well as cutting-edge applications of the aforementioned techniques.

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

Manuscript Submission Information

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Keywords

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

Published Papers (3 papers)

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Research

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16 pages, 17525 KiB  
Article
Power-to-Noise Optimization in the Design of Neural Recording Amplifier Based on Current Scaling, Source Degeneration Resistor, and Current Reuse
by Zhen Wang, Xiao Wang, Guijun Shu, Meng Yin, Shoushuang Huang and Ming Yin
Biosensors 2024, 14(2), 111; https://doi.org/10.3390/bios14020111 - 19 Feb 2024
Viewed by 1175
Abstract
This article presents the design of a low-power, low-noise neural signal amplifier for neural recording. The structure reduces the current consumption of the amplifier through current scaling technology and lowers the input-referred noise of the amplifier by combining a source degeneration resistor and [...] Read more.
This article presents the design of a low-power, low-noise neural signal amplifier for neural recording. The structure reduces the current consumption of the amplifier through current scaling technology and lowers the input-referred noise of the amplifier by combining a source degeneration resistor and current reuse technologies. The amplifier was fabricated using a 0.18 μm CMOS MS RF G process. The results show the front-end amplifier exhibits a measured mid-band gain of 40 dB/46 dB and a bandwidth ranging from 0.54 Hz to 6.1 kHz; the amplifier’s input-referred noise was measured to be 3.1 μVrms, consuming a current of 3.8 μA at a supply voltage of 1.8 V, with a Noise Efficiency Factor (NEF) of 2.97. The single amplifier’s active silicon area is 0.082 mm2. Full article
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11 pages, 17149 KiB  
Article
An Ultra-Low-Noise, Low Power and Miniaturized Dual-Channel Wireless Neural Recording Microsystem
by Haochuan Wang, Qian Ma, Keming Chen, Hanqing Zhang, Yinyan Yang, Nenggan Zheng and Hui Hong
Biosensors 2022, 12(8), 613; https://doi.org/10.3390/bios12080613 - 08 Aug 2022
Cited by 4 | Viewed by 1838
Abstract
As the basic tools for neuroscience research, invasive neural recording devices can obtain high-resolution neuronal activity signals through electrodes connected to the subject’s brain. Existing wireless neural recording devices are large in size or need external large-scale equipment for wireless power supply, which [...] Read more.
As the basic tools for neuroscience research, invasive neural recording devices can obtain high-resolution neuronal activity signals through electrodes connected to the subject’s brain. Existing wireless neural recording devices are large in size or need external large-scale equipment for wireless power supply, which limits their application. Here, we developed an ultra-low-noise, low power and miniaturized dual-channel wireless neural recording microsystem. With the full-differential front-end structure of the dual operational amplifiers (op-amps), the noise level and power consumption are notably reduced. The hierarchical microassembly technology, which integrates wafer-level packaged op-amps and the miniaturized Bluetooth module, dramatically reduces the size of the wireless neural recording microsystem. The microsystem shows a less than 100 nV/Hz ultra-low noise level, about 10 mW low power consumption, and 9 × 7 × 5 mm3 small size. The neural recording ability was then demonstrated in saline and a chronic rat model. Because of its miniaturization, it can be applied to freely behaving small animals, such as rats. Its features of ultra-low noise and high bandwidth are conducive to low-amplitude neural signal recording, which may help advance neuroscientific discovery. Full article
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Review

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25 pages, 1968 KiB  
Review
Current Practice in Using Voltage Imaging to Record Fast Neuronal Activity: Successful Examples from Invertebrate to Mammalian Studies
by Nikolay Aseyev, Violetta Ivanova, Pavel Balaban and Evgeny Nikitin
Biosensors 2023, 13(6), 648; https://doi.org/10.3390/bios13060648 - 13 Jun 2023
Cited by 1 | Viewed by 1988
Abstract
The optical imaging of neuronal activity with potentiometric probes has been credited with being able to address key questions in neuroscience via the simultaneous recording of many neurons. This technique, which was pioneered 50 years ago, has allowed researchers to study the dynamics [...] Read more.
The optical imaging of neuronal activity with potentiometric probes has been credited with being able to address key questions in neuroscience via the simultaneous recording of many neurons. This technique, which was pioneered 50 years ago, has allowed researchers to study the dynamics of neural activity, from tiny subthreshold synaptic events in the axon and dendrites at the subcellular level to the fluctuation of field potentials and how they spread across large areas of the brain. Initially, synthetic voltage-sensitive dyes (VSDs) were applied directly to brain tissue via staining, but recent advances in transgenic methods now allow the expression of genetically encoded voltage indicators (GEVIs), specifically in selected neuron types. However, voltage imaging is technically difficult and limited by several methodological constraints that determine its applicability in a given type of experiment. The prevalence of this method is far from being comparable to patch clamp voltage recording or similar routine methods in neuroscience research. There are more than twice as many studies on VSDs as there are on GEVIs. As can be seen from the majority of the papers, most of them are either methodological ones or reviews. However, potentiometric imaging is able to address key questions in neuroscience by recording most or many neurons simultaneously, thus providing unique information that cannot be obtained via other methods. Different types of optical voltage indicators have their advantages and limitations, which we focus on in detail. Here, we summarize the experience of the scientific community in the application of voltage imaging and try to evaluate the contribution of this method to neuroscience research. Full article
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