Publications

Barth, Katrina, Cecilia Schmitz, Thomas Jochum, and Jonathan Viventi. “Intan Technologies integrated circuits can produce analog-to-digital conversion artifacts that affect neural signal acquisition.” Journal of Neural Engineering 21, no. 4 (July 2024). https://doi.org/10.1088/1741-2552/ad5762.

Palopoli-Trojani, Kay, Michael Trumpis, Chia-Han Chiang, Charles Wang, Ashley J. Williams, Cody L. Evans, Dennis A. Turner, Jonathan Viventi, and Ulrike Hoffmann. “High-density cortical µECoG arrays concurrently track spreading depolarizations and long-term evolution of stroke in awake rats.” Commun Biol 7, no. 1 (March 4, 2024): 263. https://doi.org/10.1038/s42003-024-05932-0.

Duraivel, Suseendrakumar, Shervin Rahimpour, Chia-Han Chiang, Michael Trumpis, Charles Wang, Katrina Barth, Stephen C. Harward, et al. “High-resolution neural recordings improve the accuracy of speech decoding.” Nat Commun 14, no. 1 (November 6, 2023): 6938. https://doi.org/10.1038/s41467-023-42555-1.

Barth, Katrina J., James Sun, Chia-Han Chiang, Shaoyu Qiao, Charles Wang, Shervin Rahimpour, Michael Trumpis, et al. “Flexible, high-resolution cortical arrays with large coverage capture microscale high-frequency oscillations in patients with epilepsy.” Epilepsia 64, no. 7 (July 2023): 1910–24. https://doi.org/10.1111/epi.17642.

Seo, Kyung Jin, Mackenna Hill, Jaehyeon Ryu, Chia-Han Chiang, Iakov Rachinskiy, Yi Qiang, Dongyeol Jang, et al. “A Soft, High-Density Neuroelectronic Array.” Npj Flexible Electronics 7, no. 1 (January 2023): 40. https://doi.org/10.1038/s41528-023-00271-2.

Shull, Gabriella, Yieljae Shin, Jonathan Viventi, Thomas Jochum, James Morizio, Kyung Jin Seo, and Hui Fang. “Design and Simulation of a Low Power 384-channel Actively Multiplexed Neural Interface.” In IEEE Biomedical Circuits and Systems Conference : Healthcare Technology : [Proceedings]. IEEE Biomedical Circuits and Systems Conference, 2022:477–81, 2022. https://doi.org/10.1109/biocas54905.2022.9948553.

Witham, Nicholas S., Christopher F. Reiche, Thomas Odell, Katrina Barth, Chia-Han Chiang, Charles Wang, Agrita Dubey, et al. “Flexural bending to approximate cortical forces exerted by electrocorticography (ECoG) arrays.” Journal of Neural Engineering 19, no. 4 (August 2022). https://doi.org/10.1088/1741-2552/ac8452.

Aras, Kedar, Anna Gams, Ndeye Rokhaya Faye, Jaclyn Brennan, Katherine Goldrick, Jinghua Li, Yishan Zhong, et al. “Electrophysiology and Arrhythmogenesis in the Human Right Ventricular Outflow Tract.” Circulation. Arrhythmia and Electrophysiology 15, no. 3 (March 2022): e010630. https://doi.org/10.1161/circep.121.010630.

Rachinskiy, Iakov, Liane Wong, Chia-Han Chiang, Charles Wang, Michael Trumpis, John I. Ogren, Zhe Hu, Bryan McLaughlin, and Jonathan Viventi. “High-Density, Actively Multiplexed μECoG Array on Reinforced Silicone Substrate.” Frontiers in Nanotechnology 4 (January 2022): 837328. https://doi.org/10.3389/fnano.2022.837328.

Sun, James, Katrina Barth, Shaoyu Qiao, Chia-Han Chiang, Charles Wang, Shervin Rahimpour, Michael Trumpis, et al. “Intraoperative microseizure detection using a high-density micro-electrocorticography electrode array.” Brain Commun 4, no. 3 (2022): fcac122. https://doi.org/10.1093/braincomms/fcac122.

Chiang, Chia-Han, Charles Wang, Katrina Barth, Shervin Rahimpour, Michael Trumpis, Suseendrakumar Duraivel, Iakov Rachinskiy, et al. “Flexible, high-resolution thin-film electrodes for human and animal neural research.” J Neural Eng 18, no. 4 (June 17, 2021). https://doi.org/10.1088/1741-2552/ac02dc.

Trumpis, Michael, Chia-Han Chiang, Amy L. Orsborn, Brinnae Bent, Jinghua Li, John A. Rogers, Bijan Pesaran, Gregory Cogan, and Jonathan Viventi. “Sufficient sampling for kriging prediction of cortical potential in rat, monkey, and human µECoG.” J Neural Eng 18, no. 3 (March 8, 2021). https://doi.org/10.1088/1741-2552/abd460.

Chiang, Chia-Han, Jaejin Lee, Charles Wang, Ashley J. Williams, Timothy H. Lucas, Yale E. Cohen, and Jonathan Viventi. “A modular high-density μECoG system on macaque vlPFC for auditory cognitive decoding.” Journal of Neural Engineering 17, no. 4 (July 2020): 046008. https://doi.org/10.1088/1741-2552/ab9986.

Chiang, Chia-Han, Sang Min Won, Amy L. Orsborn, Ki Jun Yu, Michael Trumpis, Brinnae Bent, Charles Wang, et al. “Development of a neural interface for high-definition, long-term recording in rodents and nonhuman primates.” Science Translational Medicine 12, no. 538 (April 2020): eaay4682. https://doi.org/10.1126/scitranslmed.aay4682.

Li, J., R. Li, C. H. Chiang, Y. Zhong, H. Shen, E. Song, M. Hill, et al. “Ultrathin, High Capacitance Capping Layers for Silicon Electronics with Conductive Interconnects in Flexible, Long-Lived Bioimplants.” Advanced Materials Technologies 5, no. 1 (January 1, 2020). https://doi.org/10.1002/admt.201900800.

Song, Enming, Chia-Han Chiang, Rui Li, Xin Jin, Jianing Zhao, Mackenna Hill, Yu Xia, et al. “Flexible electronic/optoelectronic microsystems with scalable designs for chronic biointegration.” Proceedings of the National Academy of Sciences of the United States of America 116, no. 31 (July 2019): 15398–406. https://doi.org/10.1073/pnas.1907697116.

Bent, B., C. H. Chiang, C. Wang, N. Lad, A. Kent, and J. Viventi. “Simultaneous Recording and Stimulation Instrumentation for Closed Loop Spinal Cord Stimulation.” In International IEEE/EMBS Conference on Neural Engineering, NER, 2019-March:694–97, 2019. https://doi.org/10.1109/NER.2019.8717053.

Chiang, Chia-Han, and Jonathan Viventi. “Artefact-free wireless closed-loop device.” Nature Biomedical Engineering 3, no. 1 (January 2019): 3–4. https://doi.org/10.1038/s41551-018-0340-9.

Woods, Virginia, Michael Trumpis, Brinnae Bent, Kay Palopoli-Trojani, Chia-Han Chiang, Charles Wang, Chunxiu Yu, Michele N. Insanally, Robert C. Froemke, and Jonathan Viventi. “Long-term recording reliability of liquid crystal polymer µECoG arrays.” Journal of Neural Engineering 15, no. 6 (December 2018): 066024. https://doi.org/10.1088/1741-2552/aae39d.

Li, Jinghua, Enming Song, Chia-Han Chiang, Ki Jun Yu, Jahyun Koo, Haina Du, Yishan Zhong, et al. “Conductively coupled flexible silicon electronic systems for chronic neural electrophysiology.” Proceedings of the National Academy of Sciences of the United States of America 115, no. 41 (October 2018): E9542–49. https://doi.org/10.1073/pnas.1813187115.

Bent, Brinnae, Ashley J. Williams, Ryan Bolick, Chia-Han Chiang, Michael Trumpis, and Jonathan Viventi. “3D Printed Cranial Window System for Chronic μECoG Recording.” Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2018 (July 2018): 4591–94. https://doi.org/10.1109/embc.2018.8513117.

Kleinbart, Jessica E., Amy L. Orsborn, John S. Choi, Charles Wang, Shaoyu Qiao, Jonathan Viventi, and Bijan Pesaran. “A Modular Implant System for Multimodal Recording and Manipulation of the Primate Brain.” Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2018 (July 2018): 3362–65. https://doi.org/10.1109/embc.2018.8512993.

Williams, Ashley J., Michael Trumpis, Brinnae Bent, Chia-Han Chiang, and Jonathan Viventi. “A Novel µECoG Electrode Interface for Comparison of Local and Common Averaged Referenced Signals.” Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2018 (July 2018): 5057–60. https://doi.org/10.1109/embc.2018.8513432.

Wang, R., Y. Song, Y. Wang, and J. Viventi. “Long-term prediction of μeCOG signals with a spatio-temporal pyramid of adversarial convolutional networks.” In Proceedings - International Symposium on Biomedical Imaging, 2018-April:1313–17, 2018. https://doi.org/10.1109/ISBI.2018.8363813.

Song, Yilin, Yao Wang, and Jonathan Viventi. “Unsupervised Learning of Spike Patterns for Seizure Detection and Wavefront Estimation of High Resolution Micro Electrocorticographic ( $\mu $ ECoG) Data.” IEEE Transactions on Nanobioscience 16, no. 6 (September 2017): 418–27. https://doi.org/10.1109/tnb.2017.2714460.