Properties and application of a multichannel integrated circuit for low-artifact, patterned electrical stimulation of neural tissue
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OBJECTIVE: Modern multielectrode array (MEA) systems can record the neuronal activity from thousands of electrodes, but their ability to provide spatio-temporal patterns of electrical stimulation is very limited. Furthermore, the stimulus-related artifacts significantly limit the ability to record the neuronal responses to the stimulation. To address these issues, we designed a multichannel integrated circuit for a patterned MEA-based electrical stimulation and evaluated its performance in experiments with isolated mouse and rat retina. APPROACH: The Stimchip includes 64 independent stimulation channels. Each channel comprises an internal digital-to-analogue converter that can be configured as a current or voltage source. The shape of the stimulation waveform is defined independently for each channel by the real-time data stream. In addition, each channel is equipped with circuitry for reduction of the stimulus artifact. MAIN RESULTS: Using a high-density MEA stimulation/recording system, we effectively stimulated individual retinal ganglion cells (RGCs) and recorded the neuronal responses with minimal distortion, even on the stimulating electrodes. We independently stimulated a population of RGCs in rat retina, and using a complex spatio-temporal pattern of electrical stimulation pulses, we replicated visually evoked spiking activity of a subset of these cells with high fidelity. Significance. Compared with current state-of-the-art MEA systems, the Stimchip is able to stimulate neuronal cells with much more complex sequences of electrical pulses and with significantly reduced artifacts. This opens up new possibilities for studies of neuronal responses to electrical stimulation, both in the context of neuroscience research and in the development of neuroprosthetic devices.
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Custom circuitry disconnected the recording amplifiers during stimulation, reducing stimulation artifacts and making it possible to identify elicited spikes on the stimulating electrode as well as nearby electrodes.
“Custom circuitry disconnected the recording amplifiers during stimulation, reducing stimulation artifacts and making it possible to identify elicited spikes on the stimulating electrode as well as nearby electrodes (Hottowy et al., 2012; Jepson et al., 2013).”
From Precise control of neural activity using dynamically optimized electrical stimulation (2024) · cites this paper as Hottowy et al., 2012
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Research works printed but not linked: 2
- Gryboś P Dąbrowski W Hottowy P Fiutowski T Bielewicz B 2006 Neuroplat64 – low noise CMOS integrated circuit for neural recording applications Proc. 5th Int. Meeting on Substrate-Integrated Micro Electrode Arrays (Reutlingen) 208 9
- Hottowy P Dąbrowski W Kachiguine S Skoczen A Fiutowski T Sher A Rydygier P Grillo AA Litke AM 2008b An MEA-based system for multichannel, low artifact stimulation and recording of neural activity Proc. 6th Int. Meet. on Substrate-Integrated Micro Electrode Arrays (Reutlingen) 259 62
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- Authors
- Hottowy, P., Skoczeń, A., Gunning, D. E., Kachiguine, S., Mathieson, K., Sher, A., Wiącek, P., Litke, A. M., & Dąbrowski, W.
- Affiliations
- University of California, Santa Cruz (US)
- AGH University of Krakow (PL)
- University of Glasgow (GB)
- Corresponding author
- Hottowy, Paweł
- ORCID
- Venue
- Journal of Neural Engineering
- Publisher
- IOP Publishing
- Published
- 2012-11-16
- Volume
- 9
- Issue
- 6
- Pages
- 066005
- ISSN
- 1741-2552 (ISSN-L)
- 1741-2560
- PMC
- PMC3551622
- OpenAlex
- W2050303910
- Cited by
- 67
- References
- 54
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 7 · 2023: 7 · 2022: 4 · 2021: 8 · 2020: 3 · 2019: 4 · 2018: 7 · 2017: 3 · 2016: 7 · 2015: 3 · 2014: 5 · 2013: 2 · 2012: 2
- FWCI
- 1.58
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Neural Engineering (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Science Foundation (0750525, 2009‐2012)
- Burroughs Wellcome Fund
- McKnight Foundation
- Royal Academy of Engineering
- Royal Society of Edinburgh
- Research Councils UK
- National Institutes of Health (5r21eb004410-02)
- Engineering and Physical Sciences Research Council (EP/G042446/1)
- National Institute of Biomedical Imaging and Bioengineering (R21-EB-004410, 5R21EB004410)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Physical Sciences › Engineering › Biomedical Engineering › Analog and Mixed-Signal Circuit Design
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- microelectrode arrays, retinal ganglion cells, retinal stimulation, digital-to-analog converter, neuroprosthetics
- MeSH terms
- Amplifiers, Electronic, Analog-Digital Conversion, Animals, Computer Systems, Electric Stimulation, Electronics, Microelectrodes, Nerve Tissue, Neurons, Retinal Ganglion Cells, Artifacts, Mice, Rats
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