Thin-film, high-density micro-electrocorticographic decoding of a human cortical gyrus
Open accessAbstract
High-density electrocorticography (ECoG) arrays are promising interfaces for high-resolution neural recording from the cortical surface. Commercial options for high-density arrays are limited, and historically tradeoffs must be made between spatial coverage and electrode density. However, thin-film technology is a promising alternative for generating electrode arrays capable of large area coverage and high channel count, with resolution on the order of cortical columns in the functional surface unit of a human gyrus. Here, we evaluate the sensing performance of a high-density thin-film 128-electrode array designed specifically for recording the distributed neural activity of a single human cortical gyrus. We found robust field potential responses throughout the superior temporal gyrus evoked by speech sounds, and clear phonetic feature selectivity at the resolution of 2 mm inter-electrode distance. Decoding accuracy improved with increasing density of electrodes over all three patients tested. Thin-film ECoG has significant potential for high-density neural interface applications at the scale of a human gyrus.
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Approaches to increase density and lower invasiveness of ECoG are currently being developed for humans and animal models.
“Different approaches to increase the density and lower the invasiveness of ECoG are currently being developed for use in humans and animal models176–182.”
From The speech neuroprosthesis (2024) · cites this paper as [176]
The Introduction and Discussion (page numbers unavailable) describe a high-density thin-film ECoG array tested in humans and note related arrays used in animal studies. The paper describes the arrays as safe and conformal, but does not establish that the human approach lowers ECoG invasiveness; that part of the claim is not supported by this source. (LLM, conf=0.83)
Experimental — accuracy not yet measuredHigher-density cortical sampling via increased surface or penetrating electrodes has been shown to increase decoding model performance.
“For example, higher-density cortical sampling — via an increased number of surface or penetrating electrodes — has been shown to increase the performance of decoding models14–16,175,176.”
From The speech neuroprosthesis (2024) · cites this paper as [176]
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Phonetic Feature Encoding in Human Superior Temporal Gyrus
Mesgarani, N., Cheung, C., Johnson, K., & Chang, E. F. (2014) · Science · doi:10.1126/science.1245994 · Cited by 993 · see citing works
Self-citationNeuroGrid: recording action potentials from the surface of the brain
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Categorical speech representation in human superior temporal gyrus
Chang, E. F., Rieger, J. W., Johnson, K. A., Berger, M. S., Barbaro, N. M., & Knight, R. T. (2010) · Nature Neuroscience · doi:10.1038/nn.2641 · Cited by 588 · see citing works
Self-citationInduced electrocorticographic gamma activity during auditory perception
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A MEMS-based flexible multichannel ECoG-electrode array
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A Micro-Electrocorticography Platform and Deployment Strategies for Chronic BCI Applications
Thongpang, S., Richner, T. J., Brodnick, S. K., Schendel, A. A., Kim, J., Wilson, J. A., Hippensteel, J. A., Krugner-Higby, L. A., Moran, D., Ahmed, A. S., et al. (2011) · Clinical EEG and Neuroscience · doi:10.1177/155005941104200412 · Cited by 76 · see citing works
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Fabrication and testing of a large area, high density, parylene MEMS
Ledochowitsch, P., Felus, R. J., Gibboni, R., Miyakawa, A., Bao, S., & Maharbiz, M. M. (2011) · IEEE International Conference on Micro Electro Mechanical Systems (MEMS) · doi:10.1109/memsys.2011.5734604 · Cited by 41 · see citing works
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Optimization of multi-layer metal neural probe design
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Self-citationSub-mm functional decoupling of electrocortical signals through closed-loop BMI learning
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Silva, A. B., Littlejohn, K. T., Liu, J. R., Moses, D. A., & Chang, E. F. (2024) · Nature Reviews Neuroscience · doi:10.1038/s41583-024-00819-9 · Cited by 103 · see citing works
“For example, higher-density cortical sampling — via an increased number of surface or penetrating electrodes — has been shown to increase the performance of decoding models 14–16, 175 , 176 .”
Self-citation
- Authors
- Muller, L., Felix, S., Shah, K. G., Lee, K., Pannu, S., & Chang, E. F.
- Affiliations
- University of California, San Francisco (US)
- Lawrence Livermore National Laboratory (US)
- Venue
- 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
- Publisher
- IEEE
- Published
- 2016-08
- Volume
- 2016
- Pages
- 1528-1531
- ISSN
- 2375-7477 (ISSN-L)
- PMC
- PMC5789448
- OpenAlex
- W2533606008
- Cited by
- 15
- References
- 13
- Citations by year
- 2024: 3 · 2023: 2 · 2022: 2 · 2021: 3 · 2020: 1 · 2019: 2 · 2018: 1 · 2017: 1
- FWCI
- 5.90
- Type
- conference paper
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Deafness and Other Communication Disorders (R01DC012379)
- National Institute of General Medical Sciences (T32GM007618)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- thin film electrodes, electrode arrays, superior temporal gyrus, neural decoding, electrode density, neural interfaces
- MeSH terms
- Electrocorticography, Cerebral Cortex, Electrodes, Implanted, Electroencephalography, Humans
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