Title: Dual color optogenetic control of neural populations using low-noise, multishank optoelectrodes

Abstract

Optogenetics allows for optical manipulation of neuronal activity and has been increasingly combined with intracellular and extracellular electrophysiological recordings. Genetically-identified classes of neurons are optically manipulated, though the versatility of optogenetics would be increased if independent control of distinct neural populations could be achieved on a sufficient spatial and temporal resolution. We report a scalable multisite optoelectrode design that allows simultaneous optogenetic control of two spatially intermingled neuronal populations in vivo. We describe the design, fabrication, and assembly of low-noise, multisite/multicolor optoelectrodes. Each shank of the four-shank assembly is monolithically integrated with 8 recording sites and a dual-color waveguide mixer with a 7 × 30 μm cross-section, coupled to 405 nm and 635 nm injection laser diodes (ILDs) via gradient-index (GRIN) lenses to meet optical and thermal design requirements. To better understand noise on the recording channels generated during diode-based activation, we developed a lumped-circuit modeling approach for EMI coupling mechanisms and used it to limit artifacts to amplitudes under 100 μV upto an optical output power of 450 μW. We implanted the packaged devices into the CA1 pyramidal layer of awake mice, expressing Channelrhodopsin-2 in pyramidal cells and ChrimsonR in paravalbumin-expressing interneurons, and achieved optical excitation of each cellmore » type using sub-mW illumination. We highlight the potential use of this technology for functional dissection of neural circuits.« less

Authors:

Kampasi, Komal ^[1]; English, Daniel F. ^[2]; Seymour, John ^[3]; Stark, Eran ^[4]; McKenzie, Sam ^[2]; Vöröslakos, Mihály ^[3]; Buzsáki, György ^[2]; Wise, Kensall D. ^[5]; Yoon, Euisik ^[5]

---

+ Show Author Affiliations

1. Univ. of Michigan, Ann Arbor, MI (United States). Dept. of Biomedical Engineering; Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). Center for Micro and Nanotechnology
2. New York Univ. (NYU), NY (United States). NYU Neuroscience Inst. School of Medicine
3. Univ. of Michigan, Ann Arbor, MI (United States). Dept. of Electrical Engineering and Computer Science
4. Tel Aviv Univ. (Israel). Dept. of Physiology and Pharmacology. Sackler Faculty of Medicine. Sagol School of Neuroscience
5. Univ. of Michigan, Ann Arbor, MI (United States). Dept. of Biomedical Engineering. Dept. of Electrical Engineering and Computer Science

Publication Date:

Mon Jun 04 00:00:00 EDT 2018

Research Org.:

Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); Univ. of Michigan, Ann Arbor, MI (United States); New York Univ. (NYU), NY (United States); Tel Aviv Univ. (Israel)

Sponsoring Org.:

USDOE; National Inst. of Health (NIH) (United States); European Research Council (ERC)

OSTI Identifier:

1465313

Report Number(s):

LLNL-JRNL-747557
Journal ID: ISSN 2055-7434; 932565

Grant/Contract Number:  

AC52-07NA27344; 1-U01-NS090526-01; ERC-2015-StG 679253

Resource Type:

Accepted Manuscript

Journal Name:

Microsystems & Nanoengineering (Online)

Additional Journal Information:

Journal Name: Microsystems & Nanoengineering (Online); Journal Volume: 4; Journal ID: ISSN 2055-7434

Publisher:

Springer Nature

Country of Publication:

United States

Language:

English

Subject:

42 ENGINEERING; biosensors; electrical and electronic engineering; micro-optics; optical sensors