In this proposal, we will develop next-generation flexible micro-electrocortigraphic (ECoG) and penetrating electrode arrays using active electronics in complementary metal-oxide-semiconductor (CMOS) technology. Active electronics enable amplification and multiplexing directly at each electrode, eliminating the need for implanted electrodes to be individually wired to remote electronics and greatly increasing the number and density of electrodes that can be recorded and stimulated. The flexibility of our arrays allows them to conform to the irregular geometry of the brain, yielding higher fidelity signals and reduces damage to the brain when used in penetrating configurations. Integrated wireless data and power enables completely tether-free implants. Together, these innovations enable us to take high resolution measurements over large areas of the brain while being less invasive, a substantial improvement over the current state-of-the-art. In surface recording structures, we will demonstrate electrode arrays of up to 65,536 electrodes and amplifiers, spaced just 25.4m apart, where each electrode can be simultaneously sampled at 20 ksps, enabling a cellular-resolution brain interface across a 64 mm brain area. Each electrode can also be independently stimulated, or stimulated with patterns of activation, mimicking more natural excitation patterns. In penetrating arrays, we will demonstrate fully integrated, flexible penetrating neural probes with up to 512 electrodes per shank. The probe ?head? containing active electronics will fold over the outer surface of the cortex, at the point of the probe?s insertion, positioning its inductor for a near-field link through the skull. This link will be powered wirelessly with near-field radio-frequency data telemetry, eliminating the need to run wired interconnections through the skull. Integration with wireless interfaces will permit sealing chronically- implantable probes subcutaneously and in a manner in which the entire probe floats on the brain. The developed technologies will be rigorously tested in vitro and in vivo. This project will make high density electrode arrays based on manufacturable flexible CMOS technology available for the broader neuroscience community, enabling studies of large-scale recording and modulation in the nervous system. The innovations generated through this work have the potential to revolutionize our ability to understand the brain, and will improve epilepsy surgery outcomes as well as advance the performance of motor and auditory prosthetics. This project leverages a successful, long-term collaboration between clinicians, engineers, material scientists and neuroscientists at Duke University, Columbia University, New York University and the University of Illinois at Urbana-Champaign, to translate active, flexible electronics technology into next generation implantable neurological devices.

Public Health Relevance

In order to understand how the brain works in both health and disease, neuroscientists and clinicians need devices which can measure brain activity. This project will develop the next generation of flexible, high-resolution implantable electrode arrays, which can measure neural signals on a small scale but also over large areas of the brain. These devices have the potential to help treat epilepsy, as well as improve the performance of motor, auditory and visual prosthetics.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project--Cooperative Agreements (U01)
Project #
3U01NS099697-02S1
Application #
9549213
Study Section
Special Emphasis Panel (ZNS1)
Program Officer
Langhals, Nick B
Project Start
2016-09-30
Project End
2019-08-31
Budget Start
2017-09-01
Budget End
2018-08-31
Support Year
2
Fiscal Year
2017
Total Cost
Indirect Cost
Name
Duke University
Department
Biomedical Engineering
Type
Biomed Engr/Col Engr/Engr Sta
DUNS #
044387793
City
Durham
State
NC
Country
United States
Zip Code
27705
Tsai, David; Yuste, Rafael; Shepard, Kenneth L (2018) Statistically Reconstructed Multiplexing for Very Dense, High-Channel-Count Acquisition Systems. IEEE Trans Biomed Circuits Syst 12:13-23
Woods, Virginia; Trumpis, Michael; Bent, Brinnae et al. (2018) Long-term recording reliability of liquid crystal polymer µECoG arrays. J Neural Eng 15:066024
Fang, Hui; Yu, Ki Jun; Gloschat, Christopher et al. (2017) Capacitively Coupled Arrays of Multiplexed Flexible Silicon Transistors for Long-Term Cardiac Electrophysiology. Nat Biomed Eng 1:
Tsai, David; Sawyer, Daniel; Bradd, Adrian et al. (2017) A very large-scale microelectrode array for cellular-resolution electrophysiology. Nat Commun 8:1802
Trumpis, Michael; Insanally, Michele; Zou, Jialin et al. (2017) A low-cost, scalable, current-sensing digital headstage for high channel count ?ECoG. J Neural Eng 14:026009
Fang, Hui; Zhao, Jianing; Yu, Ki Jun et al. (2016) Ultrathin, transferred layers of thermally grown silicon dioxide as biofluid barriers for biointegrated flexible electronic systems. Proc Natl Acad Sci U S A 113:11682-11687