A diagnostic circuit for crosstalk detection in microelectrode arrays
Open accessAbstract
Current leakage between channels in microelectrode arrays is a sign of device failure and can lead to shorting of neural signals. The purpose of this project is to detect crosstalk between 32 channels of electrodes. We designed an embedded crosstalk detection system that can stimulate each electrode individually with a constant-current pulse and record voltage transients of the stimulated and adjacent electrodes to generate a matrix of crosstalk values. Charge injection in a phosphate buffered saline solution was used to check the condition of each electrode. A semi-wet condition was then used to determine the percent crosstalk between the channels. The analysis showed that there was minimal crosstalk between the electrodes, except for a known physical defect on the probe. The measurement technique enabled by the electronics circuit has the potential to be used in functional testing and screening of implantable devices.
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Cross-talk can be particularly problematic in the compact environments of neural implants, potentially distorting the signal and leading to data loss or errors.
“This internal interference can be particularly problematic in the compact environments of neural implants potentially distorting the signal and leading to data loss or errors (McNamara et al., 2021).”
From Comparative analysis of energy transfer mechanisms for neural implants (2024) · cites this paper as McNamara et al., 2021
The Abstract says current leakage between channels can short neural signals, and the Introduction describes crosstalk as undesired coupling in microelectrode arrays used for neuroprosthetics. The paper does not attribute heightened risk to the compact environment of neural implants or specifically describe data loss or errors; its reference to a compact design concerns the diagnostic circuit. (LLM, conf=0.86)
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Pandarinath, C., Nuyujukian, P., Blabe, C. H., Sorice, B. L., Saab, J., Willett, F. R., Hochberg, L. R., Shenoy, K. V., & Henderson, J. M. (2017) · eLife · doi:10.7554/elife.18554 · Cited by 566 · cited 1× · see citing works
“The brainmachine interface has also been demonstrated in clinics [3].”
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Corrosion of silicon integrated circuits and lifetime predictions in implantable electronic devices
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Bidirectional Telemetry Controller for Neuroprosthetic Devices
Sharma, V., McCreery, D. B., Han, M., & Pikov, V. (2009) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2009.2036849 · Cited by 26 · see citing works
Self-citationAn automated system for rapid evaluation of high-density electrode arrays in neural prostheses
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Self-citationMcCreery, D. B., Han, M., Pikov, V., Yadav, K., & Pannu, S. S. (2013) · Journal of Neural Engineering · doi:10.1088/1741-2560/10/5/056010 · Cited by 16 · see citing works
Self-citationMcCreery, D. B., Yadev, K., & Han, M. (2018) · Hearing Research · doi:10.1016/j.heares.2018.03.009 · Cited by 16 · see citing works
Self-citationA new chronic neural probe with electroplated iridium oxide microelectrodes
Han, M., & McCreery, D. B. (2008) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2008.4650140 · Cited by 14 · see citing works
Self-citationMladinić, M., & Nistri, A. (2013) · Frontiers in Neuroengineering · doi:10.3389/fneng.2013.00002 · Cited by 9 · see citing works
Can Crosstalk Compromise the Recording of High-Frequency Neural Signals?
Cruz, M. F. P., Vomero, M., Zucchini, E., Delfino, E., Asplund, M., Stieglit, T., & Fadiga, L. (2019) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/ner.2019.8717009 · Cited by 9 · see citing works
Unprotected sidewalls of implantable silicon-based neural probes and conformal coating as a solution
Ghelich, P., Nolta, N. F., & Han, M. (2021) · npj Materials Degradation · doi:10.1038/s41529-021-00154-9 · Cited by 9 · see citing works
Self-citationFabrication and modeling of recessed traces for silicon-based neural microelectrodes
Nolta, N. F., Ghelich, P., Ersöz, A., & Han, M. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/abb9bd · Cited by 7 · see citing works
Self-citationRecessed Traces for Planarized Passivation of Chronic Neural Microelectrodes
Nolta, N. F., Ghelich, P., & Han, M. (2019) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2019.8857171 · Cited by 5 · see citing works
Self-citationA Wireless Neurostimulator System with an Embedded ARM™ Microprocessor
Ersöz, A., Phu, H., Kim, I.-S., & Han, M. (2019) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2019.8856311 · Cited by 5 · see citing works
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Flexible high-density microelectrode arrays for closed-loop brain–machine interfaces: a review
Liu, X., Gong, Y., Jiang, Z., Stevens, T., & Li, W. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1348434 · Cited by 42 · see citing works
In Vivo Penetrating Microelectrodes for Brain Electrophysiology
Erofeev, A., Antifeev, I., Bolshakova, A. V., Борисович, Б. И., & Власова, О. Л. (2022) · Sensors · doi:10.3390/s22239085 · Cited by 24 · see citing works
Comparative analysis of energy transfer mechanisms for neural implants
Miziev, S., Pawlak, W. A., & Howard, N. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1320441 · Cited by 21 · see citing works
Lifetime engineering of bioelectronic implants with mechanically reliable thin film encapsulations
Niemiec, M., & Kim, K. (2023) · Progress in Biomedical Engineering · doi:10.1088/2516-1091/ad0b19 · Cited by 21 · see citing works
Osanai, H., Yamamoto, J., & 北村, 貴. (2023) · Cell Reports Methods · doi:10.1016/j.crmeth.2023.100482 · Cited by 8 · see citing works
- Authors
- McNamara, M., Ersoz, A., & Han, M.
- Affiliations
- University of Connecticut (US)
- ORCID
- Han, Martin
- Venue
- 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER)
- Publisher
- IEEE
- Published
- 2021-05-04
- Volume
- 2021
- Pages
- 544-547
- ISSN
- 1948-3554 (ISSN-L)
- PMC
- PMC8674810
- OpenAlex
- W3167778830
- Cited by
- 5
- References
- 17
- Citations by year
- 2024: 2 · 2023: 2 · 2022: 1
- FWCI
- 5.03
- Type
- conference paper
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- International IEEE/EMBS Conference on Neural Engineering (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- NIH (R01DC014044,R24NS086603)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Physical Sciences › Engineering › Biomedical Engineering › Analog and Mixed-Signal Circuit Design
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrical and Bioimpedance Tomography
- Keywords
- microelectrode arrays, leakage current, voltage transients, charge injection, phosphate buffered saline, functional testing
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