Implantable electrode array with platinum black coating for brain stimulation in fish

Zhang, Chuan; Liu, Jingquan; Tian, Hong-Chang; Kang, Xiaoyang; Du, Jingcheng; Rui, Yue-Feng; Yang, Bin; Yang, Chunsheng

doi:10.1007/s00542-013-2017-3

Cited by 19 publications

(17 citation statements)

References 19 publications

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“…Custom-designed jigs and spacers are used to maintain desired clearances and overall shape of an array before leads are secured to connectors, which are then attached to signal processing units with flexible cables (Figure 4A ). In the layered approach the spatial arrangement of wires within an array is determined by the layout of specially designed PCB, silicon or polymer preforms, within which microwires are placed and bonded (Figure 4B ) (Jellema and Weijnen, 1991 ; Williams et al, 1999 ; Zhang et al, 2015 ). Variation of layered assembly technique involves threading microwires through pre-patterned acrylic mould, bonding loose ends to the PCB and then filling preform with epoxy glue forming a planar shank array (Figure 4F ) (Merlo et al, 2012 ).…”

Section: Wire-based Arraysmentioning

confidence: 99%

“…Out of several CPs PEDOT and its modifications along with polypyrrole are the most widespread (Green et al, 2008 ). Widely deposited to decrease impedance and increase surface area of electrodes is platinum black, which requires special electrodeposition methods, such as pulsed plating or sonic plating to increase its durability (Desai et al, 2010 ; Zhang et al, 2015 ). Carbon nanotubes application causes significant increase in surface area and hence improves charge storage capacity and injection limit.…”

Section: Micromachined Microelectrodesmentioning

confidence: 99%

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Neural Interfaces for Intracortical Recording: Requirements, Fabrication Methods, and Characteristics

2017

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Implantable neural interfaces for central nervous system research have been designed with wire, polymer, or micromachining technologies over the past 70 years. Research on biocompatible materials, ideal probe shapes, and insertion methods has resulted in building more and more capable neural interfaces. Although the trend is promising, the long-term reliability of such devices has not yet met the required criteria for chronic human application. The performance of neural interfaces in chronic settings often degrades due to foreign body response to the implant that is initiated by the surgical procedure, and related to the probe structure, and material properties used in fabricating the neural interface. In this review, we identify the key requirements for neural interfaces for intracortical recording, describe the three different types of probes—microwire, micromachined, and polymer-based probes; their materials, fabrication methods, and discuss their characteristics and related challenges.

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Section: Wire-based Arraysmentioning

confidence: 99%

Section: Micromachined Microelectrodesmentioning

confidence: 99%

Neural Interfaces for Intracortical Recording: Requirements, Fabrication Methods, and Characteristics

2017

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“…As we mentioned earlier, cerebellum cortex is more suitable for fish locomotion control, because of its close connection to motor outputs and specific functional operation. However, the midbrain stimulation for locomotion control of fish has been used in [16][17][18][19][20][21]. Fish has two hearing senses.…”

Section:  Fish Locomotion Controlmentioning

confidence: 99%

“…During 2009 to 2013, Similar work was done via stimulation of the midbrain locomotors nucleus. These researches were done on the controlling of the locomotion of redfish and crap [18,19,21] by focusing on the design of an effective implanted electrode.…”

Section: Introductionmentioning

confidence: 99%

Theory of cyborg: a new approach to fish locomotion control

Jamali

Golshani

2019

Preprint

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Cyborg in the brain-machine interface field has attracted more attention in recent years. To control a creature via a machine called cyborg method, three stages are considerable: stimulation of neurons, neural response, and the behavioral reaction of the subject. Our main concern was to know how electrical stimulation induces neural activity and leads to a behavioral response. Additionally, we were interested to explore which type of electrical stimulation is optimal from different aspects such as maximum response with minimum induction stimulus field, minimum damage of the tissue and the electrode, reduction of the noxiousness of stimuli or pain in the living creature. In this article, we proposed a new model for the induction of neural activity led to locomotion responses through an electrical stimulation. Furthermore, based on this model, we developed a new approach of electrical neural stimulation to provide a better locomotion control of living beings. This approach was verified through the empirical data of fish cyborg. We stimulated the fish brain by use of an ultra-high frequency signal which careered by a random low frequency. According to our model, we could control the locomotion of fish in a novel and innovative way. In this study, we categorized the different cyborg methods based on the nervous system areas and the stimulation signal properties to reach the better and optimal behavioral control of creature. According to this, we proposed a new stimulation method theoretically and confirmed it experimentally.

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“…Thus, recent research has pursued new materials and fabrication techniques aimed at increasing as much as possible the active surface area. Two particularly appealing approaches to increasing the active surface area of electrodes are: (1) platinum black coating electroplated on metallic electrodes (Pt) ( Desai et al, 2010 ; Zhang et al, 2013 ); and (2) polypyrrole/carbon nanotubes composite electrodeposited on metal electrodes (CNTs) ( Keefer et al, 2008 ; Baranauskas et al, 2011 ). Whereas the quantitative characterization of the working performance of electrodes is usually achieved by using electrochemical impedance spectroscopy (EIS), this measure is useful to predict some electrode properties but does not assess the entire electrode performance while measuring biological signals ( Ludwig et al, 2006 ; Ferguson et al, 2009 ; Baranauskas et al, 2011 ).…”

Section: Introductionmentioning

confidence: 99%

Quantification of Signal-to-Noise Ratio in Cerebral Cortex Recordings Using Flexible MEAs With Co-localized Platinum Black, Carbon Nanotubes, and Gold Electrodes

et al. 2018

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Developing new standardized tools to characterize brain recording devices is critical to evaluate neural probes and for translation to clinical use. The signal-to-noise ratio (SNR) measurement is the gold standard for quantifying the performance of brain recording devices. Given the drawbacks with the SNR measure, our first objective was to devise a new method to calculate the SNR of neural signals to distinguish signal from noise. Our second objective was to apply this new SNR method to evaluate electrodes of three different materials (platinum black, Pt; carbon nanotubes, CNTs; and gold, Au) co-localized in tritrodes to record from the same cortical area using specifically designed multielectrode arrays. Hence, we devised an approach to calculate SNR at different frequencies based on the features of cortical slow oscillations (SO). Since SO consist in the alternation of silent periods (Down states) and active periods (Up states) of neuronal activity, we used these as noise and signal, respectively. The spectral SNR was computed as the power spectral density (PSD) of Up states (signal) divided by the PSD of Down states (noise). We found that Pt and CNTs electrodes have better recording performance than Au electrodes for the explored frequency range (5–1500 Hz). Together with two proposed SNR estimators for the lower and upper frequency limits, these results substantiate our SNR calculation at different frequency bands. Our results provide a new validated SNR measure that provides rich information of the performance of recording devices at different brain activity frequency bands (<1500 Hz).

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Implantable electrode array with platinum black coating for brain stimulation in fish

Cited by 19 publications

References 19 publications

Neural Interfaces for Intracortical Recording: Requirements, Fabrication Methods, and Characteristics

Neural Interfaces for Intracortical Recording: Requirements, Fabrication Methods, and Characteristics

Theory of cyborg: a new approach to fish locomotion control

Quantification of Signal-to-Noise Ratio in Cerebral Cortex Recordings Using Flexible MEAs With Co-localized Platinum Black, Carbon Nanotubes, and Gold Electrodes

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