
NSF Org: |
CBET Division of Chemical, Bioengineering, Environmental, and Transport Systems |
Recipient: |
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Initial Amendment Date: | May 31, 2018 |
Latest Amendment Date: | May 31, 2018 |
Award Number: | 1833288 |
Award Instrument: | Standard Grant |
Program Manager: |
Steve Zehnder
szehnder@nsf.gov (703)292-7014 CBET Division of Chemical, Bioengineering, Environmental, and Transport Systems ENG Directorate for Engineering |
Start Date: | July 1, 2018 |
End Date: | June 30, 2021 (Estimated) |
Total Intended Award Amount: | $300,000.00 |
Total Awarded Amount to Date: | $300,000.00 |
Funds Obligated to Date: |
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History of Investigator: |
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Recipient Sponsored Research Office: |
3720 S FLOWER ST FL 3 LOS ANGELES CA US 90033 (213)740-7762 |
Sponsor Congressional District: |
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Primary Place of Performance: |
CA US 90089-0001 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): |
BioP-Biophotonics, EFRI Research Projects |
Primary Program Source: |
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Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.041 |
ABSTRACT
Retinal prostheses have made a huge difference in the life of totally blind patients affected by retinal degenerative diseases. Denser electrode arrays to provide higher vision resolution to patients implanted with artificial retinas are underway, however there is a significant loss of spatial visual information with respect to normal vision. The addition of color vision would represent an immense improvement in the limited visual acuity achievable with current devices. Recent tests performed by one of the principal investigators with an artificial retina revealed that electrical stimulation can result in color perception. These findings indicate that it may be possible to encode color in a retinal prosthetic device. This observation will be explored to devise improved treatment options for patients affected by retinal degenerating conditions.
Multiscale computational method will be used to further our understanding of the color coding sensitivity in the electrically stimulated degenerated retina. Experiments to characterize color perception in patients with an artificial retina implant as a function of key stimulation parameters will be performed. This work can lead to a generalized modeling framework capable of informing therapeutic interventions with unprecedented insights into degenerated retina function and their interface with biomimetic devices.
In addition to the potential benefits to the 50 million people worldwide affected by retinal degeneration, the proposed work will train engineering students in a highly interdisciplinary research activity.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
In patients blinded by retinal degeneration, epiretinal prostheses aim at electrically stimulating the surviving retinal cells to restore partial sight. Recent tests in patients with epiretinal implants have revealed that electrical stimulation of the retina may result in the percept of color, depending on the frequency of stimulation. This award supported our investigation on the mechanisms of color encoding in response to electrical stimulation of the retina, which could prove pivotal for the design of advanced retinal prosthetics that elicit both percept and color. In patients with retinal prostheses, significant degradation of spatial visual information with respect to normal vision is inevitable; the addition of color vision would represent a tremendous improvement to the efficacy of current devices, providing additional visual cues to the patient.
Intellectual Merit: In this award, we have identified, for the first time, a directly applicable “amplitude-frequency” electrical stimulation strategy to “encode color” in future retinal prosthetics. Through a predictive computational platform developed in our laboratories, we have been able to identify stimulation parameters to selectively target small bistratified retinal ganglion cells (RGCs), which have been shown to contribute to “blue-yellow” color opponency in the retinal circuitry. To accomplish this, we developed biophysically and morphologically detailed models of retinal RGCs and utilized our multiscale computational platform to determine their response as a function of the stimulation frequency, up to 200 Hz. We have found that the firing rate of D1-bistratified RGCs is greater compared to A2-monostratified RGCs at high frequency, and the spiking rate observed in the A2-monostratified cell cannot follow the stimulus pulses with a similar rate. This suggested that it is possible to exploit the differential RGCs response in retinal prosthetic systems by varying stimulation frequency and controllably induce different percepts, such as color. These findings were validated in clinical testing, where studies in blind subjects affected by Retinitis Pigmentosa (RP) and fitted with an artificial retina demonstrated that color sensation could be elicited and that the colors perceived may be shifted by the stimulation frequency.
Broader Impacts: This award allowed us to assemble a highly interdisciplinary and complementary team of electrical engineers, biomedical engineers, clinicians, and neurobiologists to advance the field of retinal prostheses, which can help the 50 million patients worldwide affected by incurable retinal degeneration. This project has contributed to advance the state of predictive multiscale computational models of the retina and verified these through clinical testing. Further, this project has offered the opportunity to train students and expose them to cross-disciplinary, cross-institutional, activities that fostered the convergence of computational and experimental approaches to advance the field of retinal prosthetic systems.
Last Modified: 08/30/2021
Modified by: Gianluca Lazzi
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