Graphene-based implantable neural electrodes for insect flight control

Xiong, Jian; Zhang, Bin; Balilonda, Andrew; Yang, Shengrong; Li, Kerui; Zhang, Qinghong; Li, Yaogang; Wang, Hongzhi; Hou, Chengyi

doi:10.1039/d2tb00906d

Cited by 8 publications

(8 citation statements)

References 46 publications

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“…In previous research, − the researchers conducted a preliminary study of electrode implantation locations and the electrical signals used to control the insects and came to the following conclusion: the flight muscles of insects can be controlled by applying different electrical signals to the left and right optic lobes. Besides, we have also explored a set of methods for insect flight control . However, these research contributions were limited to the application of machine-to-brain interaction.…”

Section: Resultsmentioning

confidence: 99%

“…Besides, we have also explored a set of methods for insect flight control. 54 However, these research contributions were limited to the application of machine-to-brain interaction. On the basis of the potentially promising EEG test results demonstrated above, we further try to demonstrate a brain-to-brain interaction by using PAAS-MXene as the brain−brain interface.…”

Section: Methods Of Active Eeg Interactions Based On Paas-mxene By Ex...mentioning

confidence: 99%

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MXene-Enabled Self-Adaptive Hydrogel Interface for Active Electroencephalogram Interactions

et al. 2022

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Human–machine interaction plays a significant role in promoting convenience, production efficiency, and usage experience. Because of the universality and characteristics of electroencephalogram (EEG) signals, active EEG interaction is a promising and cutting-edge method for human–machine interaction. The seamless, skin-compliant, and motion-robust human–machine interface (HMI) for active EEG interaction has been in focus. Herein, we report a self-adaptive HMI (PAAS-MXene hydrogel) that can activate rapid gelation (5 s) using MXene cross-linking and conformably self-adapt to the scalp to help improve signal transduction. In addition to exhibiting satisfactory skin compliance, appropriate adhesion, and good biocompatibility, PAAS-MXene has demonstrated electrical performance reliability, such as low impedance (<50 Ω) at physiologically relevant frequencies, stable polarization potential (the rate of change is less than 6.5 × 10–4 V/min), negligible ion conductivity, and impedance change after 1000 stretch cycles, thereby realizing acquisition of EEG signals. In addition, a cap-free EEG signal acquisition method based on PAAS-MXene has been proposed. These findings confirm the high-precision detection ability of PAAS-MXene for electrocardiogram signals and EEG signals. Therefore, PAAS-MXene offers an option to actively control intention, motion, and vision through active EEG signals.

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Section: Resultsmentioning

confidence: 99%

Section: Methods Of Active Eeg Interactions Based On Paas-mxene By Ex...mentioning

confidence: 99%

MXene-Enabled Self-Adaptive Hydrogel Interface for Active Electroencephalogram Interactions

et al. 2022

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“…It could be inserted directly into peripheral nerves to record the intraneural single units with a high SNR of 9.6, showing good sensitivity. [182] Xiong et al [183] dopped PEDOT:PSS on GF to produce composite fiber electrode (Figure 8F). A large number of folds on GF surface promoted the adhesion and increased the contact area between the electrode and tissue.…”

Section: Fibrous Carbon Materialsmentioning

confidence: 99%

“…[ 182 ] Xiong et al. [ 183 ] dopped PEDOT:PSS on GF to produce composite fiber electrode (Figure 8F). A large number of folds on GF surface promoted the adhesion and increased the contact area between the electrode and tissue.…”

Section: Materials Modification Strategies For Enhanced Neural Electr...mentioning

confidence: 99%

Challenges and Opportunities of Implantable Neural Interfaces: From Material, Electrochemical and Biological Perspectives

Zeng

Huang

2023

Adv Funct Materials

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The desirable implantable neural interfaces can accurately record bioelectrical signals from neurons and regulate neural activities with high spatial/time resolution, facilitating the understanding of neuronal functions and dynamics. However, the electrochemical performance (impedance, charge storage/injection capacity) is limited with the miniaturization and integration of neural electrodes. The “crosstalk” caused by the uneven distribution of elctric field leads to lower electrical stimulation/recording efficiency. The mismatch between stiff electrodes and soft tissues exacerbates the inflammatory responses, thus weakening the transmission of signals. Though remarkable breakthroughs have been made through the incorporation of optimizing electrode design and functionalized nanomaterials, the chronic stability, and long‐term activity in vivo of the neural electrodes still need further development. In this review, the neural interface challenges mainly on electrochemistry and biology are discussed, followed by summarizing typical electrode optimization technologies and exploring recent advances in the application of nanomaterials, based on traditional metallic materials, emerging 2D materials, conducting polymer hydrogels, etc., for enhancing neural interfaces. The strategies for improving the durability including enhanced adhesion and minimized inflammatory response, are also summarized. The promising directions are finally presented to provide enlightenment for high‐performance neural interfaces in future, which will promote profound progress in neuroscience research.

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“…With excellent electrical properties and high charge storage capacity, this flexible fibrous nerve electrode has been widely used due to its advantages in size and preparation. 146…”

Section: Fiber Electrodesmentioning

confidence: 99%

Implantable neural electrodes: from preparation optimization to application

et al. 2023

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Graphene-based implantable neural electrodes for insect flight control

Abstract: Implantable neural electrode was widely used to investigate the function of the brain and treat neurological disorders. Due to their advantages of size and preparation, fibrous neural electrodes were widely...

Cited by 8 publications

References 46 publications

MXene-Enabled Self-Adaptive Hydrogel Interface for Active Electroencephalogram Interactions

MXene-Enabled Self-Adaptive Hydrogel Interface for Active Electroencephalogram Interactions

Challenges and Opportunities of Implantable Neural Interfaces: From Material, Electrochemical and Biological Perspectives

Implantable neural electrodes: from preparation optimization to application

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