Intraneural active probe for bidirectional peripheral nerve interface

Ballini, Marco; Bae, Joonsung; Marrocco, N.; Verplancke, Rik; Schaubroeck, David; Cuypers, Dieter; Cauwe, Maarten; O’Callaghan, John; Fahmy, Ahmed S.; Maghari, Nima; Bashirullah, Rizwan; Hoof, Chris Van; Helleputte, Nick Van; Beeck, Maaike Op de; Braeken, Dries; Mitra, Srinjoy

doi:10.23919/vlsic.2017.8008544

Cited by 12 publications

(5 citation statements)

References 3 publications

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“…The highest density implanted probe contains 64 neural recording electrodes and 16 fully reconfigurable neural stimulating electrodes. For more information about the fabrication, type, and functionality of the probe, read [44,45]. The stimulation modality of the hd-TIME will be used to encode sensory percepts via the evoked stimulation of the afferent nerve fibers within a fascicle.…”

Section: High-density Transverse Intrafascicular Multichannel Electro...mentioning

confidence: 99%

Using Compound Neural Action Potentials for Functional Validation of a High-Density Intraneural Interface: A Preliminary Study

Kundu,

Patrick,

Currlin

et al. 2024

Micromachines

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Compound nerve action potentials (CNAPs) were used as a metric to assess the stimulation performance of a novel high-density, transverse, intrafascicular electrode in rat models. We show characteristic CNAPs recorded from distally implanted cuff electrodes. Evaluation of the CNAPs as a function of stimulus current and calculation of recruitment plots were used to obtain a qualitative approximation of the neural interface’s placement and orientation inside the nerve. This method avoids elaborate surgeries required for the implantation of EMG electrodes and thus minimizes surgical complications and may accelerate the healing process of the implanted subject.

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Section: High-density Transverse Intrafascicular Multichannel Electro...mentioning

confidence: 99%

Using Compound Neural Action Potentials for Functional Validation of a High-Density Intraneural Interface: A Preliminary Study

Kundu,

Patrick,

Currlin

et al. 2024

Micromachines

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“…To achieve the targeted temporal and amplitude resolution in neural recording, conventional Nyquist ADCs are typically designed with a high dynamic range up to 10-bit resolution and sampled with high frequency up to 30 kSps [19]. A large amount of data needs to be transferred to an external device wirelessly, resulting in a high data rate of up to 300 kbps each channel in full diagnosis mode.…”

Section: B System Analysis and Design Trade-offsmentioning

confidence: 99%

An Implantable Neuromorphic Sensing System Featuring Near-Sensor Computation and Send-on-Delta Transmission for Wireless Neural Sensing of Peripheral Nerves

Corradi

Shi

et al. 2022

IEEE J. Solid-State Circuits

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“…In neuroscience and neuroprosthetic research, electrical recording is the basic and easily applicable modality. For monitoring APs and LFPs with low noise characteristics while consuming low power, the recording circuit structure consisting of the capacitively-coupled instrumentation amplifier (CCIA) and the successive-approximationregister analog-to-digital converter (SAR ADC) is widely used to implement the neural recording system [2]− [4], [6], [8], [12], [13], as shown in Fig. 2 (a).…”

Section: A Modality 1: Electrical Recordingmentioning

confidence: 99%

A Multimodal Neural Activity Readout Integrated Circuit for Recording Fluorescence and Electrical Signals

et al. 2021

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Monitoring the electrical neural signals is an important method for understanding the neuronal mechanism. In particular, in order to perform a cell-type-specific study, it is necessary to observe the concentration of calcium ions using fluorescent indicators in addition to measuring the electrical neural signal. This paper presents a multimodal multichannel neural activity readout integrated circuit that can perform not only electrical neural recording but also fluorescence recording of neural activity for the cell-typespecific study of heterogeneous neuronal cell populations. For monitoring the calcium ions, the photodiode generates the current according to the fluorescence expressed by the reaction between the genetically encoded calcium indicators and calcium ions. The time-based fluorescence recording circuit then records the photodiode current. The electrical neural signal captured by the microelectrode is recorded through the low-noise amplifier, variable gain amplifier, and analog-to-digital converter. The proposed integrated circuit is fabricated in a 1-poly 6-metal (1P6M) 0.18-m CMOS process. The fluorescence recording circuit achieves a recording range of 81 dB (75 pA to 860 nA) and consumes a power of 724 nW/channel. The electrical recording circuit achieves an input-referred noise of 2.7 Vrms over the bandwidth of 10 kHz, while consuming the power of 4.9 W/channel. The functionality of the proposed circuits is verified through the in vivo and in vitro experiments. Compared to the conventional neuroscience tools, which consist of bulky off-chip components, this neural interface is implemented in a compact size to perform multimodal neural recording while consuming low power.INDEX TERMS Brain-machine interface, heterogeneous cell population, fluorescence recording, calcium ion, genetically encoded calcium indicator, GECI, G-CaMP, R-CaMP, electrical neural recording.

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Intraneural active probe for bidirectional peripheral nerve interface

Cited by 12 publications

References 3 publications

Using Compound Neural Action Potentials for Functional Validation of a High-Density Intraneural Interface: A Preliminary Study

Using Compound Neural Action Potentials for Functional Validation of a High-Density Intraneural Interface: A Preliminary Study

An Implantable Neuromorphic Sensing System Featuring Near-Sensor Computation and Send-on-Delta Transmission for Wireless Neural Sensing of Peripheral Nerves

A Multimodal Neural Activity Readout Integrated Circuit for Recording Fluorescence and Electrical Signals

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