- •Visual Prosthetics
- •Preface
- •Acknowledgments
- •Contents
- •Contributors
- •1.1 The Visual System as an Engineering Compromise
- •1.2 An Overview of Human Visual System Architecture
- •1.2.1 Architecture and Basic Function of the Eye
- •1.2.2 Layout of the Retino-Cortical Pathway
- •1.2.3 Layout of the Subcortical Pathways
- •1.3 An Overview of Human Visual Function
- •1.3.1 Roles of Central (Foveal) Vision
- •1.3.2 Roles of Peripheral Vision
- •1.3.3 Roles of Dark-Adapted Vision
- •1.3.4 A Few Remarks Regarding Visual Development
- •1.4 Prospects for Prosthetic Vision Restoration
- •References
- •2.1 Introduction
- •2.2 Retina
- •2.2.1 Anatomy
- •2.2.2 Physiology and Receptive Fields
- •2.4.1 Anatomy
- •2.4.2 Physiology and Receptive Fields
- •2.6 The Role of Spatiotemporal Edges in Early Vision
- •2.7 The Role of Corners in Early Vision
- •2.7.1 Overview
- •2.8 Effects of Fixational Eye Movements in Early Visual Physiology and Perception
- •2.8.1 Overview
- •2.8.2 Neural Adaptation and Visual Fading
- •2.8.3 Microsaccades in Visual Physiology and Perception
- •References
- •3.1 Introduction
- •3.2 Background
- •3.3 Retinal Disease and Its Diversity
- •3.4 Retinal Remodeling
- •3.5 Retinal Circuitry
- •3.6 Retinal Circuitry Revision
- •3.7 Implications for Bionic Rescue
- •3.8 Implications for Biological Rescue
- •3.9 Final Remarks
- •References
- •4.1 Introduction
- •4.4 What Are the Limits to This Cortical Plasticity?
- •4.5 Possible Mechanisms Behind Brain Plasticity
- •4.6 Modulation of Brain Plasticity: Recent Developments
- •4.7 Neuroplasticity and Other Neuroprostheses Efforts
- •4.8 A Look at What Is Ahead
- •References
- •5.1 Introduction
- •5.2 Vision Changes Experienced by RP Patients
- •5.2.1 Overview
- •5.2.2 Visual Field Loss in RP
- •5.2.3 Changes in Color Vision and Glare Sensitivity in RP
- •5.2.4 Vision Fluctuations in RP
- •5.3 Visual Changes in Patients with Advanced Macular Degeneration
- •5.3.1 Changes Due to Wet AMD or Choroidal Neovascularization
- •5.3.2 Changes Due to Dry AMD or Geographic Atrophy
- •5.4 Charles Bonnet Syndrome
- •5.4.1 Overview
- •5.4.2 Complexity of Visual Hallucinations in CBS
- •5.4.3 Predictors and Alleviating Factors for CBS
- •5.5 Filling-In Phenomena (Perceptual Completion)
- •5.6 Remapping of Primary Visual Cortex in Patients with Central Scotomas from Macular Disease
- •5.7 The Preferred Retinal Locus for Fixation
- •5.8 Photopsias
- •5.8.1 Photopsias in RP
- •5.8.2 Photopsias in AMD and Other Ocular Diseases
- •5.9 Concluding Remarks
- •References
- •6.1 Introduction
- •6.2 Electrode–Electrolyte Interface
- •6.3 Electrode Material
- •6.3.1 Electrode Characterization
- •6.4 Overview of Electrode Materials for Neural Stimulation
- •6.5 Overview of Extracellular Stimulation
- •6.6 Safe Stimulation of Tissue
- •6.6.1 Mechanisms of Neural Injury
- •6.6.2 Parameters for Safe Stimulation
- •6.6.3 Stimulation Induced Injury in the Retina
- •References
- •7.1 Introduction
- •7.2 Power and Data Transmission
- •7.2.1 Wireline Connection
- •7.2.2 Inductive Coils
- •7.2.3 Serial Optical Telemetry
- •7.2.4 Photodiode Array-Based Prostheses
- •7.2.5 Thermal Safety Considerations
- •7.2.6 Conclusions: Comparing the Different Approaches
- •7.3 Tissue Response to a Subretinal Implant
- •7.3.1 Flat Implants
- •7.3.2 Chamber Implants
- •7.3.3 Pillar Arrays
- •7.4 Damage to Retinal Tissue from Electrical Stimulation
- •7.4.1 Effect of Pulse Duration
- •7.4.2 Electrode Size
- •7.5 Concluding Remarks
- •References
- •8.1 Introduction
- •8.2 Quasistatic Numerical Methods: The Admittance Method
- •8.2.1 Layered Retinal Model
- •8.2.2 Equivalent Electric Circuit
- •8.3 Three-Dimensional Activation Function Calculation
- •8.4 Safety of Implant
- •8.5 Conclusion
- •References
- •9.1 Pathophysiology of Retinal Degeneration
- •9.2.1 Outer Plexiform Layer
- •9.2.2 Inner Plexiform Layer
- •9.2.2.1 Bipolar Cell Excitation of Retinal Ganglion Cells
- •9.2.2.2 Amacrine Cell Modulation of Signal Processing
- •9.2.2.3 Inhibitory Transmitters
- •9.2.2.4 Acetylcholine and Dopamine
- •9.2.2.5 Neuropeptides
- •9.2.2.6 Putative neurotransmitters for retinal prosthesis
- •9.3 Neurophysiological Changes in Retinal Degeneration
- •9.4 Rationale for a Neurotransmitter-Based Retinal Prosthesis
- •9.4.1 Limitations of Electrical Stimulation
- •9.5 Technical Considerations and Design Approaches
- •9.5.1 Operating Principles for a Neurotransmitter-Based Retinal Prosthesis
- •9.5.2 Establishing a Retinal Prosthesis/Synaptic Interface
- •9.5.2.1 The Proximity Requirement
- •9.5.2.2 Convective Delivery of Neurotransmitters Via Microfluidics
- •9.5.2.3 Functionalized Surfaces for Neurotransmitter Stimulation
- •9.5.2.4 Synaptic Requirements for l-Glutamate Mediated Neuronal Stimulation
- •9.6 Summary
- •References
- •10.1 Introduction
- •10.2 Pioneering Experiments
- •10.2.1 Stimulation with No Chromophores
- •10.2.2 Azo Chromophores
- •10.3 Current Research
- •10.3.1 Caged Neurotransmitters
- •10.3.2 Pore Blocker and Photoisomerization
- •10.3.3 The Channelrhodopsins
- •10.3.4 Melanopsin
- •10.4 Synthetic Chromophores and Artificial Sight
- •References
- •11.1 Background
- •11.2 Physical Structure of Intracortical Electrodes
- •11.3 Charge Injection Using Intracortical Electrodes
- •11.3.1 The Intracortical Electrode as a Transducer
- •11.3.2 Charge Injection Limits
- •11.4 Intracortical Electrode Coatings
- •11.5 Characterization of Intracortical Electrodes
- •11.5.1 Cyclic Voltammetry
- •11.5.2 Electrode Stimulation Voltage Waveforms
- •11.5.3 Non-ideal Access Resistance Behavior
- •11.5.4 Non-linear Electrode Polarization
- •11.5.5 Determining Electrode Safety
- •11.6 Contrasts of In Vitro and In Vivo Behavior
- •11.7 Alternative Coatings for Improving Intracortical Electrodes
- •11.7.1 SIROF
- •11.7.2 PEDOT
- •11.7.3 Carbon Nanotube Coatings
- •11.8 Conclusion
- •References
- •12.1 Introduction
- •12.2 Responses of RGCs to Electrical Stimulation in Normal Retina
- •12.2.1 Epiretinal Stimulation
- •12.2.1.1 Target of Stimulation
- •12.2.1.2 The Site of Spike Initiation in RGCs
- •12.2.1.3 Threshold vs. Stimulating Electrode Diameter
- •12.2.1.4 Spatial Extent of Activation
- •12.2.1.5 Selective Activation
- •12.2.1.6 Temporal Response Properties
- •12.2.2 Subretinal Stimulation
- •12.2.2.1 Target of Stimulation
- •12.2.2.2 Threshold vs. Polarity of Stimulation Pulse
- •12.2.2.3 Spatial Extent of Activation
- •12.2.2.4 Temporal Response Properties
- •12.2.2.5 Dynamics of the Retinal Response
- •12.4 Responses of RGCs to Electrical Stimulation in Degenerate Retina
- •12.4.1 Epiretinal Stimulation
- •12.4.2 Subretinal Stimulation
- •12.4.2.1 Response Properties of RGCs
- •12.4.2.2 Activation Thresholds of RGCs
- •12.5 Cortical Responses to Retinal Stimulation
- •12.5.1 Spatial Properties Revealed by Cortical Measurements
- •12.5.2 Local Field Potentials
- •12.5.3 Elicited Responses Are Focal
- •12.5.4 Cortical Measurements Reveal Electrode Interactions
- •12.5.5 Temporal Responsiveness in Cortex
- •12.6 Suggestions for Future Studies
- •References
- •13.1 Introduction
- •13.2 General Considerations for Acute Retinal Stimulation Experiments
- •13.3 Surgical Technique
- •13.4 Threshold Measurements
- •13.5 Spatial Resolution and Pattern Perception
- •13.6 Temporal Resolution
- •13.7 Subretinal Versus Epiretinal Stimulation
- •13.8 Less Invasive Stimulation Procedures
- •13.9 Conclusions and Outlook
- •References
- •14.1 Introduction
- •14.2 Overview of Chronic Retinal Implant Technologies
- •14.2.1 The Retinal Implant AG Microphotodiode Prosthesis
- •14.2.2 The Intelligent Retinal Implant System
- •14.2.3 Second Sight Medical Products, Inc. A16 System
- •14.3 Thresholds on Individual Electrodes
- •14.3.1 Single Pulse Thresholds Using the SSMP System
- •14.3.2 Pulse Train Integration and Temporal Sensitivity
- •14.4 Suprathreshold Brightness
- •14.4.1 Brightness Using the Retinal Implant AG System
- •14.4.2 Brightness Using the Intelligent Medical Implant System
- •14.4.3 Brightness Using the SSMP A16 System
- •14.5 Spatial Vision
- •14.5.1 Spatial Vision with the Retinal Implant AG System
- •14.5.2 Spatial Vision with the Intelligent Medical Implant System
- •14.5.3 Spatial Vision with the SSMP A16 System
- •14.6 Models to Guide Electrical Stimulation Protocols
- •14.7 Conclusions
- •References
- •15.1 Background
- •15.2 Cortical Surface Stimulation
- •15.3 Intracortical Microstimulation
- •15.4 Optic Nerve Stimulation
- •15.5 What Is Known and What Needs to Be Done
- •15.6 Current Research Efforts
- •15.6.1 Optic Nerve Stimulation
- •15.6.2 Cortical Surface Stimulation
- •15.6.3 Intracortical Stimulation of Visual Cortex
- •15.6.4 CORTIVIS Program
- •15.6.5 Lateral Geniculate Stimulation
- •15.7 Microelectrode Arrays and Stimulation Hardware
- •15.7.1 Miniature Cameras
- •15.7.2 Animal Models
- •15.7.3 Image Processing and Phosphene Mapping
- •15.8 Conclusion
- •References
- •16.1 Introduction
- •16.2 Simulation Techniques and Basic Parameters
- •16.2.1 Gaze Tracking and Image Stabilization
- •16.2.2 Filter Engine Parameters
- •16.2.2.1 Raster Spatial Properties
- •16.2.2.2 Dot Spatial Properties
- •16.2.2.3 Temporal Properties
- •16.2.2.4 Dynamic Background Noise
- •16.2.2.5 Input Filtering/Windowing, Image Enhancement
- •16.3 Optotype Resolution and Reading
- •16.3.1 Visual Acuity
- •16.3.2 Reading
- •16.4 Face and Object Recognition
- •16.5 Visually Guided Behavior
- •16.5.1 Hand–Eye Coordination
- •16.5.2 Wayfinding
- •16.6 Visual Tracking
- •16.7 Computational Simulations
- •16.8 Conclusion
- •References
- •17.1 Introduction
- •17.2 Situating Image Analysis
- •17.3 The Experimental Framework
- •17.4 Tracking a Low-Resolution Target
- •17.5 Discussion
- •17.6 Conclusion
- •References
- •18.1 Introduction
- •18.2 Representation of Visual Space on the Visual Cortex
- •18.3 Cortical Stimulation Studies
- •18.4 Variability in Occipital Cortex
- •18.5 Phosphene Map Estimation
- •18.6 Psychophysical Studies with the Estimated Maps
- •References
- •19.1 Importance of Mapping
- •19.3 The Computer Era: Refining the Pointing Method of Phosphene Mapping
- •19.4 Verbal Mapping
- •19.5 Mapping Studies Using Subject Drawings
- •19.6 Recent Simulation Studies Using Phosphene Mapping
- •19.6.1 Tactile Simulations at Shanghai Jiao Tong University
- •19.6.2 Simulations in Our Laboratory
- •19.7 Concluding Remarks on Phosphene Mapping Techniques
- •References
- •20.1 Introduction
- •20.2 Principles for Assessment of Prosthetic Vision
- •20.2.1 Experimental Design
- •20.2.2 The Importance of Pre-operative Testing
- •20.2.3 Post-operative Assessment
- •20.2.4.1 Potential Approaches
- •20.2.4.2 Avoidance of Bias
- •20.2.4.3 Criteria for Sound Testing
- •20.2.4.4 Forced Choice Procedures
- •20.2.4.5 Response Time
- •20.2.4.6 Task (Perceptual) Learning
- •20.2.4.7 Establishing Criteria for Meaningful Change
- •20.2.4.8 Light Level
- •20.3 Vision Assessment in Prosthesis Recipients: Overview
- •20.3.1 Visual Function Assessment: Overview
- •20.3.2 Visual Performance Assessment: Overview
- •20.3.2.1 Measured Visual Performance
- •20.3.2.2 Self-Reported Visual Performance
- •20.4 Visual Function Assessment
- •20.4.1 Candidate Measures
- •20.4.1.1 Contrast Sensitivity (Contrast Detection)
- •20.4.1.2 Contrast Discrimination
- •20.4.1.3 Motion Perception
- •20.4.1.4 Depth Perception
- •20.4.2 Tests Used in Prosthesis Trials
- •20.4.3 Tests that Have Been Designed for Use with Prostheses
- •20.4.4 Vision Tests for Very Low Vision
- •20.5 Visual Performance Assessment
- •20.5.1 Measured Performance
- •20.5.2 Self-Reported Performance (Questionnaires)
- •20.6 Summary
- •References
- •21.1 Concepts of Functional Vision and Rehabilitation
- •21.1.1 Application to Orientation and Mobility
- •21.1.2 Application for Activities of Daily Living
- •21.1.3 Patient Lifestyle and Expectations
- •21.1.4 Congenital and Adventitious Vision Loss
- •21.2 Evaluation and Intervention with Prosthetic Vision
- •21.2.1 Evaluation
- •21.2.2 Intervention
- •21.3 Measuring Functional Outcomes
- •21.4 The Future
- •References
- •Author Index
- •Subject Index
9 Neurotransmitter Stimulation for Retinal Prosthesis: The Artificial Synapse Chip |
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9.5.2 Establishing a Retinal Prosthesis/Synaptic Interface
9.5.2.1 The Proximity Requirement
Prior to the fabrication of microfluidic devices for retinal prosthesis, the general requirements for retinal stimulation via neurotransmitters must the considered. It should be noted that inter-neuronal communication occurs primarily at the synapse. Thus, neurotransmitter-based retinal prosthesis devices must localize their delivery to retinal layers that contain synapses for the target cells of interest. Proximity between target dendrites and sites of neurotransmitter delivery is critical for two primary reasons. First, diffusion is a relatively slow process that will increase the latency between stimulation and response, significantly reducing the effective stimulus update rate. Taking into account the tissue tortuosity factor, the coefficient for diffusion of L-glutamate, the primary excitatory retinal neurotransmitter, at 37°C is approximately 10 × 10−6 cm2 s−1 [37, 74]. This translates to a linear diffusion rate of approximately 33 mm/s. Thus, if the site of neurotransmitter release is 33 mm away from the target dendrites, the response latency will be 1 s. Limited to diffusional delivery, neurotransmitter-based retinal prostheses would be constrained to very low frame rates. Proximity is also critical for efficient delivery of neurotransmitter to target synapses. The concentrations required to elicit neuronal responses to the exogenous application of L-glutamate are relatively high (see discussion below). Thus, diffusional dilution over longer distances would necessitate higher total doses of L-glutamate. In addition, excitatory amino acid transmitter pumps actively remove L-glutamate from the extracellular space. This is desirable in that these pumps rapidly dampen neuronal responses to the exogenous application of L-glutamate, improving the dynamic range, spatial and temporal resolution of response. However, if there is poor proximity between stimulation sites and target dendrite populations, these pumps may increase the threshold quantity of L-glutamate release required to achieve neuronal stimulation.
The proximity requirement for neurotransmitter-based retinal prostheses may necessitate that these devices penetrate into dendritic retinal sublaminae of the inner or outer plexiform layers. The concept of chemically inducing neurons to extend synaptic contacts to a retinal prosthesis has been proposed [51, 52, 66]. Epiretinal or sub-retinal neurotransmitter-based retinal prostheses or versions of these devices that penetrate into the retina could, incorporate drug-delivery methods to release chemo-attractant molecules that induce the migration of dendrites toward stimulation sites. The loss of afferent input to bipolar cells due to photoreceptor cell loss in retinal degeneration does induce bipolar cells to re-direct their dendrites toward the inner retina where they have been reported to create self-stimulation loop circuits [60–62]. Thus, there may be a period of time during which these deafferented bipolar cells may be induced to synapse upon a sensory substitution implant. This may occur as a consequence of the sensory substitution, itself. Or, perhaps the controlled release of growth factors from a retinal prosthetic device could provide a signal to dendrites that would promote the extension and maintenance of synapses to the device. Retinal ganglion cells maintain their synaptic
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contacts with their afferent bipolar and amacrine cells and do not become de-afferented as a consequence of the retinal degeneration. Thus, it may be more difficult to induce these cells to alter their well established dendritic organization.
9.5.2.2 Convective Delivery of Neurotransmitters Via Microfluidics
To overcome the temporal constraints of neurotransmitter diffusion some retinal prosthesis designs employ microfluidic technology capable of convective delivery. Two groups have worked on the development of microfluidic devices, capable of the controlling the release of neurotransmitter in space and time. Iezzi and colleagues at Wayne State University first introduced the concept of a microfluidic neurotransmitter-based retinal prosthetic device [41]. Devoid of valves, the design employs the use of phototriggered neurotransmitters. These neurotransmitters do not activate ligand-gated ion channels prior to their flash photolysis. The “uncage and release” device employs microfluidic channels that incorporate an optical sub- system for the spatially and temporally controlled activation of phototriggered neurotransmitters. An electrical current is then used to iontophoretically and/or electro-osmotically eject the charged, uncaged neurotransmitter from a microfluidic aperture or microneedle into close proximity to the target dendrites. This design involves storing a reservoir of caged L-glutamate prodrug and involves optical and electrical means for controlled release. This potentially minimizes the possibility of a dose-related L-glutamate induced excitoxicity. Finlayson and Iezzi [80] have shown that the localized convective delivery of L-glutamate via pneumatic ejection results in linear RGC dose-response firing with response latencies of 200 ms. These preliminary results validate the utility of convective neurotransmitter delivery for retinal prosthesis.
Another group at Stanford University has also developed microfluidic circuits that employ electroosmotic flow for the controlled delivery of neurotransmitters in space and time. They have demonstrated that electric field-driven fluid ejection of bradykinin was effective in stimulating PC-12 cells cultured on the stimulation system [81–84].
9.5.2.3 Functionalized Surfaces for Neurotransmitter Stimulation
Pepperberg and associates have been developing functionalized surfaces coated with tethered neurotransmitters for neuronal stimulation [73, 89, 105, 108]. According to the design concept, an electrical or other control signal will modulate the capacity of tethered molecules to bind to synaptic or extra-synaptic neurotransmitter receptors. Neurotransmitter analogs such as the muscimol, bound to biotin for the future purpose of adsorption to surfaces, rendering them “functionalized” have been shown to activate GABA receptors in an oocyte model. Since the neurotransmitter–biotin conjugates will ultimately be adsorbed to the surface of the implant, solid posts could be used to assure that stimulation occurs within the desired retinal layers.
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9.5.2.4 Synaptic Requirements for L-Glutamate Mediated Neuronal Stimulation
Any system for delivering neurotransmitters to the retina for the purpose of retinal prosthesis will be required to match doses of L-glutamate required by target neurons. Consequently, an analysis of the anatomy and physiology of the synapse may be useful in establishing operating parameters for neurotransmitter-based retinal stimulators.
The requirements for neurotransmitter stimulation of the retina differ according to the target cells for stimulation. ON and OFF pathways are first established at the bipolar cell level. Thus, stimulation at this level may permit selective ON and OFF stimulation selectivity. Depending upon whether the retinal prosthesis is placed epiretinal or subretinal, microneedles may be necessary to deliver neurotransmitter to target neuronal cell dendrites. In degenerating retina, bipolar cells that have lost their photoreceptor input redirect their afferent dendrites toward the inner plexiform layer (IPL). Within the IPL RGC afferents synapse. Neurotransmitter stimulation directed toward ganglion cells must reach this region. Within the IPL, it may be possible to stimulate bipolar cell dendrites and/ or RGCs directly.
The rate of quantal excitation to RGCs in response to visual stimulation has been examined. Any neurotransmitter-based retinal prosthesis will need to mimic patterns of quantal excitation induced by visual stimulation. Freed determined that the just-maximal sustained RGC response to visual stimulation was induced by 3,700 quanta of L-glutamate per second, among all synapses [25, 26]. Studies of the number of L-glutamate molecules per synaptic vesicle report a range between 500 and 10,000 [87]. Thus, between 1.85 and 37 × 106 L-glutamate molecules per second would be required to induce a sustained RCG response. Freed and Sterling reported that there are approximately 550 bipolar synapses upon an ON alpha-RGC in the area centralis [27]. At 10° eccentricity, the larger membrane surface area of ON alpha-RGCs causes them to have approximately 2,200 bipolar cell synapses, since the density of bipolar cell synapses on the membrane is constant [25, 26]. Based upon a synapse diameter of 200 nm2 and a synaptic cleft of 20 nm, the volume of each synapse is approximately 2.5 al [103]. Thus, the total synaptic volume for a single ON alpha-RGC ranges between 1.38 fl near the area centralis and 5.5 fl at 10° eccentricity. Using the lowest molar quantity of L-glutamate needed for sustained RGC stimulation, combined with the largest total synaptic volume for an ON alpha RGC we arrive at a predicted minimum molar concentration of L-glutamate necessary for stimulation by a neurotransmitter-based retinal prosthesis of 0.55 mM L-glutamate. By taking the higher molar quantity of L-glutamate from the above computations, divided by the smallest total synaptic volume for an ON alpha-RGC, we predict that the upper concentration for L-glutamate required for sustained stimulation is 11.1 mM. This range is consistent with our unpublished experimental findings for RGC stimulation via exogenous application of L-glutamate in normal Sprague–Dawley, RCS and S334-ter-4 rats.
