The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.
Human brain mapping with multithousand-channel PtNRGrids resolves spatiotemporal dynamics
Open accessAbstract
Electrophysiological devices are critical for mapping eloquent and diseased brain regions and for therapeutic neuromodulation in clinical settings and are extensively used for research in brain-machine interfaces. However, the existing clinical and experimental devices are often limited in either spatial resolution or cortical coverage. Here, we developed scalable manufacturing processes with a dense electrical connection scheme to achieve reconfigurable thin-film, multithousand-channel neurophysiological recording grids using platinum nanorods (PtNRGrids). With PtNRGrids, we have achieved a multithousand-channel array of small (30 μm) contacts with low impedance, providing high spatial and temporal resolution over a large cortical area. We demonstrated that PtNRGrids can resolve submillimeter functional organization of the barrel cortex in anesthetized rats that captured the tissue structure. In the clinical setting, PtNRGrids resolved fine, complex temporal dynamics from the cortical surface in an awake human patient performing grasping tasks. In addition, the PtNRGrids identified the spatial spread and dynamics of epileptic discharges in a patient undergoing epilepsy surgery at 1-mm spatial resolution, including activity induced by direct electrical stimulation. Collectively, these findings demonstrated the power of the PtNRGrids to transform clinical mapping and research with brain-machine interfaces.
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“Advances in engineering and materials science are promising major improvements in electrode number and density, potentially reaching many thousands for both depth electrode and ECoG approaches [20].”
From Ethical considerations for the use of brain–computer interfaces for cognitive enhancement (2024) · cites this paper as [20]
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“Again, new approaches may alleviate some of these difficulties, for instance through the development of highly flexible probes and conformal ECoG grids [20].”
From Ethical considerations for the use of brain–computer interfaces for cognitive enhancement (2024) · cites this paper as [20]
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An Integrated Brain-Machine Interface Platform With Thousands of Channels
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What is the Bereitschaftspotential?
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NeuroGrid: recording action potentials from the surface of the brain
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Speech synthesis from neural decoding of spoken sentences
Anumanchipalli, G. K., Chartier, J., & Chang, E. F. (2019) · Nature · doi:10.1038/s41586-019-1119-1 · Cited by 883
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Luo, Y., Abidian, M. R., Ahn, J., Akinwande, D., Andrews, A. M., Antonietti, M., Bao, Z., Magnus Berggren, A., Berkey, C. A., Bettinger, C. J., et al. (2023) · ACS Nano · doi:10.1021/acsnano.2c12606 · Cited by 1,453
Flexible Electrodes for Brain–Computer Interface System
Wang, J., Wang, T., Liu, H., Wang, K., Kumi, M., Feng, Z., Li, P., & Huang, W. (2023) · Advanced Materials · doi:10.1002/adma.202211012 · Cited by 142
Zeng, Q., & Huang, Z. (2023) · Advanced Functional Materials · doi:10.1002/adfm.202301223 · Cited by 104
Wu, M., Yao, K., Huang, N., Li, H., Zhou, J., Shi, R., Li, J., Huang, X., Li, J., Jia, H., et al. (2023) · Advanced Science · doi:10.1002/advs.202300504 · Cited by 99
A shape-morphing cortex-adhesive sensor for closed-loop transcranial ultrasound neurostimulation
Lee, S., Kum, J., Kim, S., Jung, H., An, S., Choi, S. J., Choi, J. H., Kim, J., Yu, K. J., Lee, W., et al. (2024) · Nature Electronics · doi:10.1038/s41928-024-01240-x · Cited by 96
Metadata
- Authors
- Tchoe, Y., Bourhis, A. M., Cleary, D. R., Stedelin, B., Lee, J., Tonsfeldt, K. J., Brown, E. C., Siler, D. A., Paulk, A. C., Yang, J. C., Oh, H., Ro, Y. G., Lee, K., Russman, S. M., Ganji, M., Galton, I., Ben-Haim, S., Raslan, A. M., & Dayeh, S. A.
- Affiliations
- University of California San Diego (US)
- Oregon Health & Science University (US)
- Massachusetts General Hospital (US)
- Integrated Electronics and Biointerfaces Laboratory, Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA 92093, USA.
- Corresponding author
- Tchoe, Youngbin
- Bourhis, Andrew M.
- Cleary, Daniel R.
- Dayeh, Shadi A.
- ORCID
- Venue
- Science Translational Medicine
- Published
- 2022-01-19
- Volume
- 14
- Issue
- 628
- Pages
- eabj1441-eabj1441
- ISSN
- 1946-6234 (ISSN-L)
- 1946-6242
- PMC
- PMC9650779
- OpenAlex
- W4206535166
- Cited by
- 135
- References
- 62
- Citations by year
- 2026: 19 · 2025: 45 · 2024: 32 · 2023: 25 · 2022: 14
- FWCI
- 12.82
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Science Translational Medicine (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Scholarworks@UNIST (Ulsan National Institute of Science and Technology) (submittedVersion)
- Funders
- National Institutes of Health (1dp2eb029757-01)
- National Institute of Mental Health (R01MH111359, F32MH120886)
- National Institute on Drug Abuse (R01DA050159)
- National Institute of Neurological Disorders and Stroke (R01NS123655, UG3NS123723)
- National Institute of Biomedical Imaging and Bioengineering (DP2-EB029757)
- 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
- platinum nanorods, high-density neural recording, grasping tasks, epileptic discharges, epilepsy surgery, electrical stimulation, brain-computer interface, neuromodulation
- MeSH terms
- Animals, Brain, Brain Mapping, Electric Stimulation, Epilepsy, Humans, Wakefulness, Rats
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