A Synchronous Neural Recording Platform for Multiple High-Resolution CMOS Probes and Passive Electrode Arrays

High-resolution (HR) mapping has been used to study gastric slow-wave activation; however, the specific characteristics of antral electrophysiology remain poorly defined. This study applied HR mapping and computational modeling to define functional human antral physiology. HR mapping was performed in 10 subjects using flexible electrode arrays (128–192 electrodes; 16–24 cm2) arranged from the pylorus to mid-corpus. Anatomical registration was by photographs and anatomical landmarks. Slow-wave parameters were computed, and resultant data were incorporated into a computational fluid dynamics (CFD) model of gastric flow to calculate impact on gastric mixing. In all subjects, extracellular mapping demonstrated normal aboral slow-wave propagation and a region of increased amplitude and velocity in the prepyloric antrum. On average, the high-velocity region commenced 28 mm proximal to the pylorus, and activation ceased 6 mm from the pylorus. Within this region, velocity increased 0.2 mm/s per mm of tissue, from the mean 3.3 ± 0.1 mm/s to 7.5 ± 0.6 mm/s ( P < 0.001), and extracellular amplitude increased from 1.5 ± 0.1 mV to 2.5 ± 0.1 mV ( P < 0.001). CFD modeling using representative parameters quantified a marked increase in antral recirculation, resulting in an enhanced gastric mixing, due to the accelerating terminal antral contraction. The extent of gastric mixing increased almost linearly with the maximal velocity of the contraction. In conclusion, the human terminal antral contraction is controlled by a short region of rapid high-amplitude slow-wave activity. Distal antral wave acceleration plays a major role in antral flow and mixing, increasing particle strain and trituration.

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Design techniques and analysis of high-resolution neural recording systems targeting epilepsy focus localization

2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society ◽

10.1109/embc.2012.6347153 ◽

2012 ◽

Cited By ~ 7

Author(s):

M. Shoaran ◽

C. Pollo ◽

Y. Leblebici ◽

A. Schmid

Keyword(s):

High Resolution ◽

Neural Recording ◽

Focus Localization ◽

Design Techniques

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Data acquisition system for high resolution, multiplexed electrode arrays

2013 6th International IEEE/EMBS Conference on Neural Engineering (NER) ◽

10.1109/ner.2013.6696105 ◽

2013 ◽

Cited By ~ 3

Author(s):

Hank Bink ◽

Joost B. Wagenaar ◽

Jonathan Viventi

Keyword(s):

High Resolution ◽

Data Acquisition ◽

Data Acquisition System ◽

Acquisition System ◽

Electrode Arrays

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Low-Power High-Resolution 32-channel Neural Recording System

2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society ◽

10.1109/iembs.2007.4352804 ◽

2007 ◽

Cited By ~ 6

Author(s):

Xiao Yun ◽

Donghwi Kim ◽

Milutin Stanacevic ◽

Zachary Mainen

Keyword(s):

High Resolution ◽

Low Power ◽

Neural Recording ◽

Recording System ◽

Neural Recording System

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High-resolution spatio-temporal mapping of visual pathways using multi-electrode arrays

Vision Research ◽

10.1016/s0042-6989(00)00273-x ◽

2001 ◽

Vol 41 (10-11) ◽

pp. 1261-1275 ◽

Cited By ~ 60

Author(s):

Richard A Normann ◽

David J Warren ◽

Josef Ammermuller ◽

Eduardo Fernandez ◽

Shane Guillory

Keyword(s):

High Resolution ◽

Visual Pathways ◽

Electrode Arrays ◽

Spatio Temporal

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Electrical Stimulus Artifact Cancellation and Neural Spike Detection on Large Multi-Electrode Arrays

10.1101/089912 ◽

2016 ◽

Author(s):

Gonzalo E. Mena ◽

Lauren E. Grosberg ◽

Sasidhar Madugula ◽

Paweł Hottowy ◽

Alan Litke ◽

...

Keyword(s):

Electrical Stimulation ◽

High Resolution ◽

Action Potentials ◽

Process Model ◽

Error Rates ◽

Neural Interfaces ◽

Spike Sorting ◽

Electrode Arrays ◽

Retinal Prostheses ◽

Sorting Process

AbstractSimultaneous electrical stimulation and recording using multi-electrode arrays can provide a valuable technique for studying circuit connectivity and engineering neural interfaces. However, interpreting these measurements is challenging because the spike sorting process (identifying and segregating action potentials arising from different neurons) is greatly complicated by electrical stimulation artifacts across the array, which can exhibit complex and nonlinear waveforms, and overlap temporarily with evoked spikes. Here we develop a scalable algorithm based on a structured Gaussian Process model to estimate the artifact and identify evoked spikes. The effectiveness of our methods is demonstrated in both real and simulated 512-electrode recordings in the peripheral primate retina with single-electrode and several types of multi-electrode stimulation. We establish small error rates in the identification of evoked spikes, with a computational complexity that is compatible with real-time data analysis. This technology may be helpful in the design of future high-resolution sensory prostheses based on tailored stimulation (e.g., retinal prostheses), and for closed-loop neural stimulation at a much larger scale than currently possible.Author SummarySimultaneous electrical stimulation and recording using multi-electrode arrays can provide a valuable technique for studying circuit connectivity and engineering neural interfaces. However, interpreting these recordings is challenging because the spike sorting process (identifying and segregating action potentials arising from different neurons) is largely stymied by electrical stimulation artifacts across the array, which are typically larger than the signals of interest. We develop a novel computational framework to estimate and subtract away this contaminating artifact, enabling the large-scale analysis of responses of possibly hundreds of cells to tailored stimulation. Importantly, we suggest that this technology may also be helpful for the development of future high-resolution neural prosthetic devices (e.g., retinal prostheses).

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A modular high-density 294-channel μECoG system on macaque vlPFC for auditory cognitive decoding

10.1101/768127 ◽

2019 ◽

Author(s):

Chia-Han Chiang ◽

Jaejin Lee ◽

Charles Wang ◽

Ashley J. Williams ◽

Timothy H. Lucas ◽

...

Keyword(s):

High Resolution ◽

Auditory Perception ◽

Large Scale ◽

Electrode Array ◽

Auditory Pathway ◽

Sound Level ◽

High Density ◽

Electrode Arrays ◽

Spatiotemporal Resolution

AbstractOBJECTIVEA fundamental goal of the auditory system is to parse the auditory environment into distinct perceptual representations. Auditory perception is mediated by the ventral auditory pathway, which includes the ventrolateral prefrontal cortex (vlPFC) late. Because large-scale recordings of auditory signals are quite rare, the spatiotemporal resolution of the neuronal code that underlies vlPFC’s contribution to auditory perception has not been fully elucidated. Therefore, we developed a modular, chronic, high-resolution, multi-electrode array system with long-term viability.APPROACHWe molded three separate μECoG arrays into one and implanted this system in a non-human primate. A custom 3D-printed titanium chamber was mounted on left hemisphere. The molded 294-contact μECoG array was implanted subdurally over vlPFC. μECoG activity was recorded while the monkey participated in a “hearing-in-noise” task in which they reported hearing a “target” vocalization from a background “chorus” of vocalizations. We titrated task difficulty by varying the sound level of the target vocalization, relative to the chorus (target-to-chorus ratio, TCr).MAIN RESULTSWe decoded the TCr and the monkey’s behavioral choices from the μECoG signal. We analyzed decoding capacity as a function of neuronal frequency band, spatial resolution, and time from implantation. Over a one-year period, we were successfully able to record μECoG signals. Although we found significant decoding with as few as two electrodes, we found near-perfect decoding with ∼16 electrodes. Decoding further improved when we included more electrodes. Finally, because the decoding capacity of individual electrodes varied on a day-by-day basis, high-density electrode arrays ensure robust decoding in the long term.SIGNIFICANCEOur results demonstrate the utility and robustness of high-resolution chronic µECoG recording. We developed a new high-resolution surface electrode array that can be scaled to cover larger cortical areas without increasing the chamber footprint.

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