Probing visual computations and electrical stimulation in the central macaque retina for high fidelity vision restoration
Probing visual computations and electrical stimulation in the central macaque retina for high fidelity vision restoration
批准号:
10578664
负责人:
Alex Richard Gogliettino
金额:
$4.05万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-01-20 至 2025-01-19
关键词:
AffectAxonBlindnessBrainCellsCodeCommunicationCustomDataData SetDevelopmentDevicesElectric StimulationElectrodesExcisionExhibitsEye MovementsFrequenciesFutureGoalsGrainImageImplantIndividualInner Limiting MembraneLaboratoriesLightMacacaMethodsModelingModernizationMonkeysPatternPerformancePeripheralPhotic StimulationPrimatesPropertyProsthesisProsthesis DesignReaction TimeResearchResolutionRetinaRetinal Ganglion CellsSignal TransductionStructureTechnologyTestingTrainingVisionVisualVisual AcuityVisually Impaired PersonsWorkcell typedensitydisabilityelectric fieldexperimental studyimage reconstructionimprovedinterestmulti-electrode arraysneuralperformance testsphotoreceptor degenerationprototypereceptive fieldreconstructionresponseretina implantationretinal prosthesisretinal stimulationsight restorationsimulationspatiotemporalvisual coding
中文摘要
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英文摘要
Project Summary/Abstract
Blindness resulting from photoreceptor degeneration is a leading cause of disability. A primary treatment option
is the use of epiretinal prostheses, which directly activate retinal ganglion cells (RGCs), sending artificial visual
signals to the brain. However, vision restoration with current-day epiretinal prostheses is limited, due to the
coarse-grained stimulation that fails to replicate natural, light-evoked RGC activation patterns. In natural vision,
~20 functionally-distinct RGC types communicate unique representations of the visual world to the brain
through coordinated and precise cell type-specific patterns of activity. Modern implants don’t produce
high-acuity vision in part because they fail to elicit naturalistic RGC responses, due to coarse and nonspecific
stimulation. The goal of my research is to determine how well vision can be restored in the central retina by
analyzing the responses of primate RGCs to visual and electrical stimulation.
To accomplish this goal, I will first conduct ex vivo experiments in the central retina of the macaque monkey
with visual and electrical stimulation while recording with a high-density multi-electrode array. After identifying
the major functionally-distinct cell types, we will then characterize their spatiotemporal light response properties
and determine how they differ from cells of the same types in the peripheral retina. I will also compare how well
features from natural images are represented by central and peripheral RGCs of the major types. Next, to
determine how well central RGCs can be electrically activated, I will determine the electrical receptive fields for
each cell as well as quantify the extent to which RGCs of each type can be stimulated selectively. We will then
test the degree to which RGCs of major types in the central retina can be activated without activating axon
bundles. To achieve better electrical access to RGCs in the central retina, I will test whether removing the inner
limiting membrane decreases stimulation thresholds and enhances selective activation. In cases in which
selective activation of RGCs is unattainable with single-electrode stimulation, I will test whether tri-electrode
stimulation can better focus the electric field on a cell of interest through current steering to enhance selective
activation. Finally, to estimate how well high-resolution vision can be restored with a future implant targeting the
central retina, we will develop a simulation by aggregating the visual and electrical response properties across
many data sets and perform image reconstruction analyses to quantify the structural details of images that can
be perceived.
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Probing visual computations and electrical stimulation in the central macaque retina for high fidelity vision restoration
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批准号:10386407
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项目类别:
-
资助金额:$3.93万
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财政年份:2022
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负责人:Alex Richard Gogliettino
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依托单位:
海外基金