Kunal Sahasrabuddhe, Aamir A Khan, Aditya P Singh, Tyler M Stern, Yeena Ng, Aleksandar Tadić, Peter Orel, Chris LaReau, Daniel Pouzzner, Kurtis Nishimura, Kevin M Boergens, Sashank Shivakumar, Matthew S Hopper, Bryan Kerr, Mina-Elraheb S Hanna, Robert J Edgington, Ingrid McNamara, Devin Fell, Peng Gao, Amir Babaie-Fishani, Sampsa Veijalainen, Alexander V Klekachev, Alison M Stuckey, Bert Luyssaert, Takashi D Y Kozai, Chong Xie, Vikash Gilja, Bart Dierickx, Yifan Kong, Malgorzata Straka, Harbaljit S Sohal, Matthew R Angle
{"title":"The Argo: a high channel count recording system for neural recording in vivo.","authors":"Kunal Sahasrabuddhe, Aamir A Khan, Aditya P Singh, Tyler M Stern, Yeena Ng, Aleksandar Tadić, Peter Orel, Chris LaReau, Daniel Pouzzner, Kurtis Nishimura, Kevin M Boergens, Sashank Shivakumar, Matthew S Hopper, Bryan Kerr, Mina-Elraheb S Hanna, Robert J Edgington, Ingrid McNamara, Devin Fell, Peng Gao, Amir Babaie-Fishani, Sampsa Veijalainen, Alexander V Klekachev, Alison M Stuckey, Bert Luyssaert, Takashi D Y Kozai, Chong Xie, Vikash Gilja, Bart Dierickx, Yifan Kong, Malgorzata Straka, Harbaljit S Sohal, Matthew R Angle","doi":"10.1088/1741-2552/abd0ce","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Decoding neural activity has been limited by the lack of tools available to record from large numbers of neurons across multiple cortical regions simultaneously with high temporal fidelity. To this end, we developed the Argo system to record cortical neural activity at high data rates.</p><p><strong>Approach: </strong>Here we demonstrate a massively parallel neural recording system based on platinum-iridium microwire electrode arrays bonded to a CMOS voltage amplifier array. The Argo system is the highest channel count in vivo neural recording system, supporting simultaneous recording from 65 536 channels, sampled at 32 kHz and 12-bit resolution. This system was designed for cortical recordings, compatible with both penetrating and surface microelectrodes.</p><p><strong>Main results: </strong>We validated this system through initial bench testing to determine specific gain and noise characteristics of bonded microwires, followed by in-vivo experiments in both rat and sheep cortex. We recorded spiking activity from 791 neurons in rats and surface local field potential activity from over 30 000 channels in sheep.</p><p><strong>Significance: </strong>These are the largest channel count microwire-based recordings in both rat and sheep. While currently adapted for head-fixed recording, the microwire-CMOS architecture is well suited for clinical translation. Thus, this demonstration helps pave the way for a future high data rate intracortical implant.</p>","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":" ","pages":"015002"},"PeriodicalIF":4.3000,"publicationDate":"2021-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8607496/pdf/nihms-1754631.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Electronic Materials","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1088/1741-2552/abd0ce","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: Decoding neural activity has been limited by the lack of tools available to record from large numbers of neurons across multiple cortical regions simultaneously with high temporal fidelity. To this end, we developed the Argo system to record cortical neural activity at high data rates.
Approach: Here we demonstrate a massively parallel neural recording system based on platinum-iridium microwire electrode arrays bonded to a CMOS voltage amplifier array. The Argo system is the highest channel count in vivo neural recording system, supporting simultaneous recording from 65 536 channels, sampled at 32 kHz and 12-bit resolution. This system was designed for cortical recordings, compatible with both penetrating and surface microelectrodes.
Main results: We validated this system through initial bench testing to determine specific gain and noise characteristics of bonded microwires, followed by in-vivo experiments in both rat and sheep cortex. We recorded spiking activity from 791 neurons in rats and surface local field potential activity from over 30 000 channels in sheep.
Significance: These are the largest channel count microwire-based recordings in both rat and sheep. While currently adapted for head-fixed recording, the microwire-CMOS architecture is well suited for clinical translation. Thus, this demonstration helps pave the way for a future high data rate intracortical implant.
期刊介绍:
ACS Applied Electronic Materials is an interdisciplinary journal publishing original research covering all aspects of electronic materials. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials science, engineering, optics, physics, and chemistry into important applications of electronic materials. Sample research topics that span the journal's scope are inorganic, organic, ionic and polymeric materials with properties that include conducting, semiconducting, superconducting, insulating, dielectric, magnetic, optoelectronic, piezoelectric, ferroelectric and thermoelectric.
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Web of Science SCIE
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Portico