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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“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]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
EPILEPSY AND THE FUNCTIONAL ANATOMY OF THE HUMAN BRAIN
Penfield, W., & Jasper, H. (1954) · Southern Medical Journal · doi:10.1097/00007611-195407000-00024 · Cited by 4,092
Neuronal ensemble control of prosthetic devices by a human with tetraplegia
Hochberg, L. R., Serruya, M. D., Friehs, G. M., Mukand, J. A., Saleh, M., Caplan, A. H., Branner, A., Chen, D., Penn, R. D., & Donoghue, J. P. (2006) · Nature · doi:10.1038/nature04970 · Cited by 3,295
Reach and grasp by people with tetraplegia using a neurally controlled robotic arm
Hochberg, L. R., Bacher, D., Jarosiewicz, B., Masse, N. Y., Simeral, J. D., Vogel, J., Haddadin, S., Liu, J., Cash, S. S., van der Smagt, P., et al. (2012) · Nature · doi:10.1038/nature11076 · Cited by 2,719
Meta-analyzing left hemisphere language areas: phonology, semantics, and sentence processing.
Vigneau, M., Beaucousin, V., Hervé, P. Y., Duffau, H., Crivello, F., Houdé, O., Mazoyer, B., & Tzourio-Mazoyer, N. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.11.002 · Cited by 1,851
An Integrated Brain-Machine Interface Platform With Thousands of Channels
Musk, E., & Neuralink (2019) · Journal of Medical Internet Research · doi:10.2196/16194 · Cited by 1,206
What is the Bereitschaftspotential?
Shibasaki, H., & Hallett, M. (2006) · Clinical Neurophysiology · doi:10.1016/j.clinph.2006.04.025 · Cited by 1,169
Viventi, J., Kim, D.-H., Vigeland, L., Frechette, E. S., Blanco, J. A., Kim, Y.-S., Avrin, A. E., Tiruvadi, V. R., Hwang, S.-W., Vanleer, A. C., et al. (2011) · Nature Neuroscience · doi:10.1038/nn.2973 · Cited by 1,136
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
NeuroGrid: recording action potentials from the surface of the brain
Khodagholy, D., Gelinas, J. N., Thesen, T., Doyle, W., Devinsky, O., Malliaras, G. G., & Buzsáki, G. (2015) · Nature Neuroscience · doi:10.1038/nn.3905 · Cited by 938
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
Research works printed but not linked: 1
- K. Iwamoto in Novel Patterning Technologies for Semiconductors MEMS/NEMS and MOEMS 2020 (International Society for Optics and Photonics 2020) vol. 11324 p. 1132405.
Cited by
Sorted by citations
Technology Roadmap for Flexible Sensors
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
High-density soft bioelectronic fibres for multimodal sensing and stimulation
Khatib, M., Zhao, E. T., Wei, S., Park, J., Abramson, A., Bishop, E. S., Thomas, A.-L. A., Chen, C.-H., Emengo, P. O., Xu, C., et al. (2025) · Nature · doi:10.1038/s41586-025-09481-2 · Cited by 91
Paulk, A. C., Zelmann, R., Crocker, B., Widge, A. S., Dougherty, D. D., Eskandar, E. N., Weisholtz, D. S., Richardson, R. M., Cosgrove, G. R., Williams, Z. M., et al. (2022) · Brain stimulation · doi:10.1016/j.brs.2022.02.017 · Cited by 68
Self-citationEthical considerations for the use of brain–computer interfaces for cognitive enhancement
Gordon, E. C., & Seth, A. K. (2024) · PLOS Biology · doi:10.1371/journal.pbio.3002899 · Cited by 64
Flexible, scalable, high channel count stereo-electrode for recording in the human brain
Lee, K., Paulk, A. C., Ro, Y. G., Cleary, D. R., Tonsfeldt, K. J., Kfir, Y., Pezaris, J. S., Tchoe, Y., Lee, J., Bourhis, A. M., et al. (2024) · Nature Communications · doi:10.1038/s41467-023-43727-9 · Cited by 67
Self-citationWei, S., Jiang, A., Sun, H., Zhu, J., Jia, S., Liu, X., Xu, Z. J., Zhang, J., Shang, Y., Fu, X., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-44805-2 · Cited by 66
Electrocorticogram (ECoG): Engineering Approaches and Clinical Challenges for Translational Medicine
Moon, H., Kwon, J., Eun, J., Chung, C. K., Kim, J. S., Chou, N., & Kim, S. (2024) · Advanced Materials Technologies · doi:10.1002/admt.202301692 · Cited by 54
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 44
Flexible Microinterventional Sensors for Advanced Biosignal Monitoring
Liu, Y., Fan, P., Pan, Y., & Ping, J. F. (2025) · Chemical Reviews · doi:10.1021/acs.chemrev.5c00115 · Cited by 41
Uguz, I., & Shepard, K. L. (2022) · Science Advances · doi:10.1126/sciadv.abq6354 · Cited by 42
Modified Neuropixels probes for recording human neurophysiology in the operating room
Coughlin, B. F., Muñoz, W., Kfir, Y., Young, M. J., Meszéna, D., Jamali, M., Caprara, I., Hardstone, R., Khanna, A. R., Mustroph, M. L., et al. (2023) · Nature Protocols · doi:10.1038/s41596-023-00871-2 · Cited by 47
Self-citationA CMOS-based highly scalable flexible neural electrode interface
Zhao, E. T., Hull, J. M., Hemed, N. M., Uluşan, H., Bartram, J., Zhang, A., Wang, P., Pham, A., Ronchi, S., Huguenard, J. R., et al. (2023) · Science Advances · doi:10.1126/sciadv.adf9524 · Cited by 36
Large-scale neurophysiology and single-cell profiling in human neuroscience
Lee, A. T., Chang, E. F., Paredes, M. F., & Nowakowski, T. J. (2024) · Nature · doi:10.1038/s41586-024-07405-0 · Cited by 35
Neural electrodes for brain‐computer interface system: From rigid to soft
Yang, D., Tian, G., Chen, J., Liu, Y., Fatima, E., Qiu, J., Malek, N. A. N. N., & Qi, D. (2025) · BMEMat · doi:10.1002/bmm2.12130 · Cited by 37
A wireless subdural-contained brain–computer interface with 65,536 electrodes and 1,024 channels
Jung, T., Zeng, N., Fabbri, J. D., Eichler, G., Li, Z., Zabeh, E., Das, A., Willeke, K. F., Wingel, K., Dubey, A., et al. (2025) · Nature Electronics · doi:10.1038/s41928-025-01509-9 · Cited by 40
High‐density implantable neural electrodes and chips for massive neural recordings
Wang, L., Suo, Y., Wang, J., Wang, X., Xue, K., An, J., Sun, X., Chen, Q., Tang, X., Zhao, Y., et al. (2024) · Brain‐X · doi:10.1002/brx2.65 · Cited by 31
Actively Multiplexed μECoG Brain Implant System With Incremental-ΔΣ ADCs Employing Bulk-DACs
Huang, X., Londoño‐Ramírez, H., Ballini, M., Hoof, C. A. V., Genoe, J., Haesler, S., Gielen, G. E., Helleputte, N. V., & López, C. M. (2022) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2022.3201704 · Cited by 31
The Layer 7 Cortical Interface: A Scalable and Minimally Invasive Brain–Computer Interface Platform
Hettick, M., Ho, E., Poole, A. J., Monge, M., Papageorgiou, D., Takahashi, K., LaMarca, M., Trietsch, D., Reed, K., Murphy, M., et al. (2022) · doi:10.1101/2022.01.02.474656 · Cited by 31
Designs and Applications for the Multimodal Flexible Hybrid Epidermal Electronic Systems
Li, D., Cui, T., Xu, Z., Xu, S., Dong, Z., Tao, L., Liu, H., Yang, Y., & Ren, T. (2024) · Research · doi:10.34133/research.0424 · Cited by 32
Bioactive polymer-enabled conformal neural interface and its application strategies
Hu, Z., Niu, Q., Hsiao, B. S., Yao, X., & Zhang, Y. (2022) · Materials Horizons · doi:10.1039/d2mh01125e · Cited by 30
Spatiotemporal organisation of human sensorimotor beta burst activity
Zich, C., Quinn, A. J., Bonaiuto, J. J., O’Neill, G. C., Mardell, L. C., Ward, N., & Bestmann, S. (2023) · eLife · doi:10.7554/elife.80160 · Cited by 30
Translational Organic Neural Interface Devices at Single Neuron Resolution
Hassan, A. R., Zhao, Z., Ferrero, J. J., Cea, C., Jastrzebska‐Perfect, P., Myers, J. C., Asman, P., Ince, N. F., McKhann, G. M., Viswanathan, A., et al. (2022) · Advanced Science · doi:10.1002/advs.202202306 · Cited by 27
A universal model of electrochemical safety limits in vivo for electrophysiological stimulation
Vatsyayan, R., & Dayeh, S. A. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.972252 · Cited by 28
Self-citationMultifunctional Nanomaterials for Advancing Neural Interfaces: Recording, Stimulation, and Beyond
Ranke, D., Lee, I., Gershanok, S. A., Jo, S., Trotto, E., Wang, Y., Balakrishnan, G., & Cohen‐Karni, T. (2024) · Accounts of Chemical Research · doi:10.1021/acs.accounts.4c00138 · Cited by 28
Columnar Localization and Laminar Origin of Cortical Surface Electrical Potentials
Baratham, V. L., Dougherty, M. E., Hermiz, J., Ledochowitsch, P., Maharbiz, M. M., & Bouchard, K. E. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.1787-21.2022 · Cited by 25
Hettick, M., Ho, E., Poole, A. J., Monge, M., Papageorgiou, D., Takahashi, K., LaMarca, M., Trietsch, D., Reed, K., Murphy, M. E., et al. (2025) · Nature Biomedical Engineering · doi:10.1038/s41551-025-01501-w · Cited by 43
Lee, S., Park, K., Kum, J., An, S., Yu, K. J., Kim, H., Shin, M., & Son, D. (2022) · Polymers · doi:10.3390/polym15010084 · Cited by 25
Materials and devices for high‐density, high‐throughput micro‐electrocorticography arrays
Xie, Y., Peng, Y., Guo, J., Liu, M., Zhang, B., Yin, L., Ding, H., & Sheng, X. (2024) · Fundamental Research · doi:10.1016/j.fmre.2024.01.016 · Cited by 23
Vatsyayan, R., Lee, J., Bourhis, A. M., Tchoe, Y., Cleary, D. R., Tonsfeldt, K. J., Lee, K., Montgomery‐Walsh, R., Paulk, A. C., Hoi Sang, U., et al. (2023) · MRS Bulletin · doi:10.1557/s43577-023-00537-0 · Cited by 27
Self-citationStability of Ti3C2Tx MXene Films and Devices under Clinical Sterilization Processes
Averbeck, S. R., Xu, D., Murphy, B. B., Shevchuk, K., Shankar, S., Anayee, M., Torres, M. D. T., Beauchamp, M. S., de la Fuente‐Núñez, C., Gogotsi, Y. G., et al. (2023) · ACS Nano · doi:10.1021/acsnano.3c01525 · Cited by 24
A High-Performance Electrode Based on van der Waals Heterostructure for Neural Recording
Liu, S., Liu, L., Zhao, Y., Wang, Y., Wu, Y., Zhang, X., & Ming, D. (2022) · Nano Letters · doi:10.1021/acs.nanolett.2c00848 · Cited by 21
A comparison of neuroelectrophysiology databases
Subash, P., Gray, A., Boswell, M., Cohen, S. L., Garner, R., Salehi, S., Fisher, C., Hobel, S. M., Ghosh, S., Halchenko, Y. O., et al. (2023) · Scientific Data · doi:10.1038/s41597-023-02614-0 · Cited by 21
Emerging Penetrating Neural Electrodes: In Pursuit of Large Scale and Longevity
Luan, L., Yin, R., Zhu, H., & Xie, C. (2023) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-090622-050507 · Cited by 23
Flexible, ultrathin bioelectronic materials and devices for chronically stable neural interfaces
Zhou, L., Wu, Z., Sun, M., Park, J., Han, M., Wang, M., Yu, J., Di, Z., Mei, Y., Bai, W., et al. (2023) · Brain‐X · doi:10.1002/brx2.47 · Cited by 22
From Wearables to Implantables: Harnessing Sensor Technologies for Continuous Health Monitoring
Koruprolu, A., Hack, T., Ghadami, O., Jain, A., & Hall, D. A. (2025) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2025.3568754 · Cited by 20
Ionic–Bionic Interfaces: Advancing Iontronic Strategies for Bioelectronic Sensing and Therapy
Ro, Y. G., Chang, Y., Kim, J., Lee, S.-B., Na, S., Park, C., & Ko, H. (2025) · Advanced Science · doi:10.1002/advs.202513985 · Cited by 21
Self-citationWisniewski, D. J., Ma, L., Rauhala, O. J., Cea, C., Zhao, Z., Ranschaert, A., Gelinas, J. N., & Khodagholy, D. (2025) · Nature Communications · doi:10.1038/s41467-024-55284-w · Cited by 22
Soft Bioelectronics for Neuroengineering: New Horizons in the Treatment of Brain Tumor and Epilepsy
Yoo, S., Kim, M.-J., Choi, C., Kim, D., & Cha, G. D. (2023) · Advanced Healthcare Materials · doi:10.1002/adhm.202303563 · Cited by 19
Herron, J. A., Kullmann, F. A., Denison, T., Goodman, W. K., Gunduz, A., Neumann, W., Provenza, N. R., Shanechi, M. M., Sheth, S. A., Starr, P. A., et al. (2024) · Nature Biomedical Engineering · doi:10.1038/s41551-024-01314-3 · Cited by 22
Londoño‐Ramírez, H., Huang, X., Cools, J., Chrzanowska, A., Brunner, C., Ballini, M., Hoffman, L., Steudel, S., Rolin, C., López, C. M., et al. (2023) · Advanced Science · doi:10.1002/advs.202308507 · Cited by 20
Flexible neural probes: a review of the current advantages, drawbacks, and future demands
Pimenta, S., Freitas, J. R., & Correia, J. H. (2024) · Journal of Zhejiang University SCIENCE B · doi:10.1631/jzus.b2300337 · Cited by 17
Wang, T., Chen, Y., Wang, Y., Lee, S., Lee, Y., & Dong, J. (2024) · Advanced Sensor Research · doi:10.1002/adsr.202400142 · Cited by 17
Electrode Development for Epilepsy Diagnosis and Treatment
Paulk, A. C., Salami, P., Zelmann, R., & Cash, S. S. (2023) · Neurosurgery Clinics of North America · doi:10.1016/j.nec.2023.09.003 · Cited by 17
Self-citationA subdural CMOS optical device for bidirectional neural interfacing
Pollmann, E. H., Yin, H., Uguz, I., Dubey, A., Wingel, K., Choi, J. S., Moazeni, S., Gilhotra, Y., Andino-Pavlovsky, V., Banees, A., et al. (2024) · Nature Electronics · doi:10.1038/s41928-024-01209-w · Cited by 24
Konrad, P. E., Gelman, K., Lawrence, J. D., Bhatia, S., Dister, J., Sharma, R., Ho, E., Byun, Y. W., Mermel, C. H., & Rapoport, B. I. (2025) · Journal of Neural Engineering · doi:10.1088/1741-2552/adaeed · Cited by 18
Liu, Y., Wang, Z., Jiao, Y., Chen, Y., Xu, G., Ma, Y., & Feng, X. (2024) · Bio-Design and Manufacturing · doi:10.1007/s42242-024-00278-2 · Cited by 13
Russman, S. M., Cleary, D. R., Tchoe, Y., Bourhis, A. M., Stedelin, B., Martin, J. R., Brown, E. C., Zhang, X., Kawamoto, A., Ryu, W. H. A., et al. (2022) · Science Translational Medicine · doi:10.1126/scitranslmed.abq4744 · Cited by 13
Self-citationFlexible and smart electronics for single-cell resolved brain–machine interfaces
Lee, A. J., Wang, W., & Jia Liu, B. (2023) · Applied Physics Reviews · doi:10.1063/5.0115879 · Cited by 11
Wang, J., Yu, J., Wei, H., Wang, A., Hou, Z., Kumi, M., Wang, X., Wang, T., Li, P., & Huang, W. (2024) · Advanced Functional Materials · doi:10.1002/adfm.202407394 · Cited by 12
Lee, J., Kim, S., Chung, W. G., Kim, E., Song, H., Oh, M., Kim, E.-M., Jia Liu, B., Jang, K., Lee, T., et al. (2024) · Advanced Engineering Materials · doi:10.1002/adem.202400499 · Cited by 11
Self-citationTouch-evoked traveling waves establish a translaminar spacetime code
Gonzales, D. L., Khan, H., Keri, H. V. S., Yadav, S., Steward, C. S., Muller, L., Pluta, S. R., & Jayant, K. (2025) · Science Advances · doi:10.1126/sciadv.adr4038 · Cited by 16
Adhesive bioelectronics for closed-loop therapy
Jung, H., Lee, H., Shin, M., & Son, D. (2025) · Med-X · doi:10.1007/s44258-025-00055-5 · Cited by 13
Fathy, N. S. K., Vatsyayan, R., Bourhis, A. M., Dayeh, S. A., & Mercier, P. P. (2024) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2024.3366649 · Cited by 11
Self-citationAn electroencephalogram microdisplay to visualize neuronal activity on the brain surface
Tchoe, Y., Wu, T., Hoi Sang, U., Roth, D. M., Kim, D.-W., Lee, J., Cleary, D. R., Pizarro, P., Tonsfeldt, K. J., Lee, K., et al. (2024) · Science Translational Medicine · doi:10.1126/scitranslmed.adj7257 · Cited by 12
Self-citationA 2.5-20kSps in-Pixel Direct Digitization Front-End for ECoG with In-Stimulation Recording
Jain, A., Fogleman, E., Botros, P., Vatsyayan, R., Pochet, C., Bourhis, A. M., Liu, Z., Chethan, S., Le, H., Galton, I., et al. (2024) · Custom Integrated Circuits Conference · doi:10.1109/cicc60959.2024.10529096 · Cited by 10
Self-citationJeong, J., Heo, G., Kwon, Y. W., Chae, S. Y., Kim, M. J., Yu, K. J., Shin, H. K., & Hong, S. W. (2025) · Advanced Functional Materials · doi:10.1002/adfm.202417727 · Cited by 10
Li, Z., Xu, E., Zhang, Y., Ji, X., Du, C., Geng, Y., Zhu, H., Zhang, R., Ma, C., & Zhang, D. (2025) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2025.117360 · Cited by 10
Malformations-related neocortical circuits in focal seizures
Luhmann, H. J. (2023) · Neurobiology of Disease · doi:10.1016/j.nbd.2023.106018 · Cited by 10
Xu, D., Hong, J., Zhao, H., Pak, S., Kim, J., Hoàng, A. T., Park, K., Kim, B. J., Ji, S., Choi, J., et al. (2025) · Nature Materials · doi:10.1038/s41563-025-02430-4 · Cited by 9
Tan, H., Paulk, A. C., Stedelin, B., Cleary, D. R., Nerison, C. S., Tchoe, Y., Brown, E. C., Bourhis, A. M., Russman, S. M., Lee, J., et al. (2023) · Journal of neurosurgery · doi:10.3171/2023.7.jns23885 · Cited by 9
Self-citationJain, A., Fogleman, E., Botros, P., Vatsyayan, R., Koruprolu, A., Pochet, C., Bourhis, A. M., Liu, Z., Chethan, S., Le, H., et al. (2024) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2024.3508544 · Cited by 8
Self-citationLong‐Term Stable Subdural Recordings Enabled by Fibrosis‐Resistant Hydrogel‐Integrated µECoG Arrays
Chen, L., Zhong, H., Wang, L., Xu, L., Fan, W., Zhao, Y., Zhang, H., Shen, Y., Wu, K., Fu, X., et al. (2025) · Advanced Science · doi:10.1002/advs.202515453 · Cited by 10
Pokala, S. D., Bernert, M., Nanami, T., Kohno, T., Levi, T., & Yvert, B. (2025) · Nature Communications · doi:10.1038/s41467-025-64231-2 · Cited by 7
Structural and Functional Designs of Advanced Neural Electrodes
Cheng, J., Xiao, M., & Li, Z. (2025) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.5c15407 · Cited by 6
Díaz-Pérez, A., de Eulate, N. A., Masvidal‐Codina, E., Illa, X., Navarro, X., Guimerà‐Brunet, A., Jiménez‐Altayó, F., & Penas, C. (2025) · GeroScience · doi:10.1007/s11357-025-01988-w · Cited by 7
Yousuf, M., Rochet, J., Singh, P., & Hussain, M. M. (2025) · Advanced Materials Technologies · doi:10.1002/admt.202401585 · Cited by 9
Syllable processing is organized in discrete subregions of the human superior temporal gyrus
Cleary, D. R., Tchoe, Y., Bourhis, A. M., Dickey, C. W., Stedelin, B., Ganji, M., Lee, S., Lee, J., Siler, D. A., Brown, E. C., et al. (2024) · PLoS Biology · doi:10.1371/journal.pbio.3002774 · Cited by 6
Self-citationLi, W., Zou, H., Yang, B., Xiao, L., Liu, S., Chen, Z., Xie, L., Zhu, W., Zhao, X. Q., Wang, L., et al. (2025) · Small Methods · doi:10.1002/smtd.202501471 · Cited by 5
Yang, G., Pang, B., Gong, H., Qiu, Y., Gong, C., Zhou, S., Zheng, Q., Wang, Z., Bu, T., Xu, S., et al. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2533145123 · Cited by 5
Russman, S. M., Montgomery‐Walsh, R., Vatsyayan, R., Hoi Sang, U., Diaz-Aguilar, L. D., Chang, E., Tang, Q., Lee, K., Yaksh, T. L., Ben‐Haim, S., et al. (2025) · Advanced Functional Materials · doi:10.1002/adfm.202420488 · Cited by 5
Self-citationSilk-enabled conformal intraventricular interfaces for minimally invasive neural recordings
Liang, J., Wang, X., Chen, Z., Wei, X., Sun, L., Liu, K., Shi, Z., Tao, T. H., & Zhou, Z. (2025) · Nature Communications · doi:10.1038/s41467-025-64397-9 · Cited by 5
What Do ECoG Recordings Tell Us About Intracortical Action Potentials?
Bockhorst, T., Engel, A. K., & Galindo-Leon, E. E. (2023) · Studies in neuroscience, psychology and behavioral economics · doi:10.1007/978-3-031-20910-9_18 · Cited by 3
Testing circuit-level theories of consciousness in humans
Dykstra, A. R., Zhu, Y., Fernandez Pujol, C., Zhou, D. W., Jones, S. R., Marvan, T., & Bonaiuto, J. J. (2026) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2025.08.012 · Cited by 3
Xu, D., Hong, J., Park, K., & Ahn, J. (2026) · Small · doi:10.1002/smll.202514286 · Cited by 4
Averbeck, S. R., Garg, R., Dong, R., Hurwitz, D., Apollo, N. V., Beauchamp, M. S., & Vitale, F. (2026) · Small · doi:10.1002/smll.202514955 · Cited by 4
An overview of noninvasive imaging strategies in neural engineering
Modo, M., Didwischus, N., & Kisel, A. A. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-95730-4.00001-9 · Cited by 4
Sheng, T., Li, J., Zheng, L., Du, N., Xie, M., Wang, X., Gao, X., Huang, M., Wen, S., Liu, W., et al. (2025) · Advanced Healthcare Materials · doi:10.1002/adhm.202404947 · Cited by 3
A Scalable Fishbone Nanowire Array (FINE) for 3D Quasi‐Intracellular Recording in Intact Brains
Tchoe, Y., Lee, J., Tonsfeldt, K. J., Wu, T., Cleary, D. R., Hoi Sang, U., Liu, R., Bouvier, G., Vatsyayan, R., Bourhis, A. M., et al. (2025) · Advanced Materials · doi:10.1002/adma.202504171 · Cited by 3
Self-citationEnabling Model-Based Design for Real-Time Spike Detection
Florio, M. D., Bornat, Y., Carè, M., Cota, V. R., Buccelli, S., & Chiappalone, M. (2025) · IEEE Open Journal of Engineering in Medicine and Biology · doi:10.1109/ojemb.2025.3537768 · Cited by 3
Flexible, Scalable, High Channel Count Stereo-Electrode for Recording in the Human BrainPreprint
Lee, K., Paulk, A. C., Ro, Y. G., Cleary, D. R., Tonsfeldt, K. J., Kfir, Y., Pezaris, J. S., Tchoe, Y., Lee, J., Bourhis, A. M., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.11.08.515705 · Cited by 3
Self-citationFan, G., Yin, M., Wang, Y., Yu, S., & Wang, X. (2025) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2024.107448 · Cited by 2
Electrophysiology of gliomas: current science, implications, and opportunities
Minns, H. E., Useinovic, N., Smith, J. L., Puri, S., Raslan, A. M., Paulk, A. C., & Cleary, D. R. (2026) · Frontiers in Oncology · doi:10.3389/fonc.2025.1611840 · Cited by 2
Self-citationConformal bumped electrode web for chronic ECoG recordings in swine
Wang, M., Jiang, H., Ni, C., Zhou, X., Xu, Y., Shang, S., You, X., Wang, W., Zhou, C., Zhang, W., et al. (2026) · Microsystems & Nanoengineering · doi:10.1038/s41378-026-01180-w · Cited by 2
Full‐Stack Architectures for Intelligent Brain‐Computer Interfaces
Lee, H. K., Kim, H. B., Park, S. U., Joo, J., Min, J., Lee, G., Kang, J. Y., Jeong, H., Yoo, J., & Won, S. M. (2026) · Advanced Science · doi:10.1002/advs.75838 · Cited by 2
Pang, B., Yang, G., Wen, J., Gong, H., Gong, C., Qiu, Y., Wang, Z., Zheng, Q., Zhou, S., Bu, T., et al. (2026) · Advanced Science · doi:10.1002/advs.76396 · Cited by 2
Tan, H., Nugent, J. G., Nerison, C. S., Ward, E., Bowden, S. G., & Raslan, A. M. T. (2023) · World Neurosurgery · doi:10.1016/j.wneu.2022.12.123 · Cited by 2
Self-citationDesign and application of a multimodality-compatible 1Tx/6Rx RF coil for monkey brain MRI at 7T
Qu, S., Shi, S., Quan, Z., Gao, Y., Wang, M., Wang, Y., Pan, G., Lai, H., Roe, A. W., & Zhang, X. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120185 · Cited by 2
Neurostimulation in Neuro-Ophthalmology: Mechanisms and Therapeutic Potential
Shaheen, N., Khaled, M. B., Seo, S., Bezchlibnyk, Y. B., Flouty, O. E., & Bharmauria, V. (2024) · IntechOpen eBooks · doi:10.5772/intechopen.115105 · Cited by 4
Zhou, W., Shi, X., Xu, Q., Liu, X., Li, J., Qiao, H., Yang, L., Li, B., Chen, L., Zhang, Y., et al. (2025) · SmartMat · doi:10.1002/smm2.70007 · Cited by 2
Hébert, C., Carlier, S., Leão, J. M., Wilfinger, C., Lissorgues, G., Yvert, B., & Rousseau, L. (2025) · physica status solidi (a) · doi:10.1002/pssa.202400540 · Cited by 1
An Implantable, 1024-Channel Multiplexed Electrode Array for High-Density Brain Activity Mapping
Xie, Y., & Sheng, X. (2024) · Technical digest - International Electron Devices Meeting/Technical digest · doi:10.1109/iedm50854.2024.10873531 · Cited by 1
Fathy, N. S. K., Vatsyayan, R., Bourhis, A. M., Dayeh, S. A., & Mercier, P. P. (2025) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2025.3560316 · Cited by 3
Self-citationZhang, R., Duan, R., Yang, D., Wu, H., Wang, B., Chang, Z., Chen, J., Dai, J., Liu, Y., Liu, Y., et al. (2025) · Chemical Engineering Journal · doi:10.1016/j.cej.2025.163222 · Cited by 1
Huang, X., & Muratore, D. G. (2025) · Custom Integrated Circuits Conference · doi:10.1109/cicc63670.2025.10983696 · Cited by 2
Shirazi, S. Y., Onton, J., & Makeig, S. (2025) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/ner61569.2025.11588934 · Cited by 1
A 128‐channel Flexible Probe for Stable Neural Recording in the Visual Cortex
Tu, K., Chen, Q., Zheng, H. R., Xu, Q., Jiang, C., Cao, J., Wen, D., Li, Z., Wei, N., Chen, H., et al. (2025) · Advanced Materials Technologies · doi:10.1002/admt.202501171 · Cited by 1
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review