A High-Resolution Opto-Electrophysiology System with a Miniature Integrated Headstage

Adam E. Mendrela, Kanghwan Kim, Daniel English, Sam McKenzie, John P. Seymour, Gyorgy Buzsaki, Euisik Yoon

Research output: Contribution to journalArticlepeer-review

23 Citations (Scopus)


This work presents a fully integrated neural interface system in a small form factor (1.9 g), consisting of a μLED silicon optoelectrode (12 μLEDs and 32 recording sites in a 4-shank configuration), an Intan 32-channel recording chip, and a custom optical stimulation chip for controlling 12 μLEDs. High-resolution optical stimulation with approximately 68.5 nW radiant flux resolution is achieved by a custom LED driver ASIC, which enables individual control of up to 48 channels with a current precision of 1 μA, a maximum current of 1.024 mA, and an update rate of >10 kHz. Recording is performed by an off-The-shelf 32-channel digitizing front-end ASIC from Intan. Two compact custom interface printed circuit boards were designed to link the headstage with a PC. The prototype system demonstrates precise current generation, sufficient optical radiant flux generation (Φe} > 0.16, μW, and fast turn-on of μLEDs (trmrise < 10, μs). Single animal in vivo experiments validated the headstage's capability to precisely modulate single neuronal activity and independently modulate activities of separate neuronal populations near neighboring optoelectrode shanks.

Original languageEnglish
Article number8411136
Pages (from-to)1065-1075
Number of pages11
JournalIEEE Transactions on Biomedical Circuits and Systems
Issue number5
Publication statusPublished - 2018 Oct

Bibliographical note

Funding Information:
Manuscript received February 14, 2018; revised April 11, 2018 and May 23, 2018; accepted May 25, 2018. Date of publication July 16, 2018; date of current version October 19, 2018. This work was supported in part by NIH R21-EB019221 and in part by NSF 1545858 and NSF 1707316 (NeuroNex MINT). This paper was recommended by Associate Editor M. Martina. (A. E. Mendrela and K. Kim contributed equally to this work.) (Corresponding author: Adam E. Mendrela.) A. E. Mendrela, K. Kim, J. P. Seymour, and E. Yoon are with the Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48103 USA (e-mail:, mendrela@umich.edu; khankim@umich.edu; seymourj@umich.edu; esyoon@umich.edu).

Publisher Copyright:
© 2007-2012 IEEE.

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Electrical and Electronic Engineering


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