- •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
12 The Response of Retinal Neurons to Electrical Stimulation |
243 |
at 10 Hz. These findings suggest that temporal frequencies may be limited to <5 Hz if bipolar cells are activated (from either subor epiretinal stimulation).
Since activation of bipolar cells leads to activation of amacrine cells [28], the reduction in bipolar cell activity may arise from amacrine cell mediated feedback inhibition. Therefore, methods that reduce or eliminate the secondary activation of amacrine cells are likely to enhance the temporal response to stimulation. Such methods have yet to be developed.
12.2.2 Subretinal Stimulation
12.2.2.1 Target of Stimulation
Similar to epiretinal stimulation, subretinal stimulation activates many different classes of retinal neurons. Stett et al. [53] used pharmacological blockade of synaptic pathways to explore which classes of (chicken) retinal neurons were activated by subretinal stimulation. Under control conditions, 0.5 ms monophasic voltage pulses elicited RGC spiking responses whose durations lasted up to several hundred milliseconds (Fig. 12.10). Addition of magnesium (Mg2+), a general blocker of neurotransmitter release, significantly reduced the RGC responses. The Mg2+ sensitive spiking activity in RGCs presumably results from activation of one or more presynaptic excitatory neurons; the likely candidates are photoreceptors, bipolar cells and/or starburst amacrine cells. To identify the specific neurons that were activated, synaptic blockers of the excitatory neurotransmitter glutamate were administered. Application of kynurenic acid, an AMPA/kainate receptor antagonist, greatly reduced the RGC responses to electrical stimulation. Kynurenic acid targets receptors at multiple locations [14, 57] but notably it blocks the output of bipolar cells. A more specific glutamate receptor blocker, 2-amino-4-phosphonobutyric acid (AP4), blocks the synapse between photoreceptors and ON bipolar cells [51]. Application of AP4 abolished the electrically evoked responses. Although Stett et al. [53] did not identify the physiological type of RGC shown in Fig. 12.10, the fact that AP4 abolished the evoked response suggests that this RGC cell was an ON cell. Jensen et al. [24] reported in a later study (using epiretinal stimulation) that electrically evoked responses of ON RGCs but not OFF RGCs in rabbit retina were abolished with AP4.
The AP4 results suggest that photoreceptors are the principal target of electrical stimulation in normal retina. Understanding whether photoreceptors or bipolar cells are the target of subretinal stimulation has important implications for clinical use since patients that have been blind for many years will have few or no viable photoreceptors remaining (Chap. 3). Therefore methods that target photoreceptors are not likely to be useful in clinical applications. More research is needed to determine the relative excitability between photoreceptors and bipolar cells.
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Fig. 12.10 Synaptic blockers reduce the response to subretinal stimulation. Response histograms (5 ms bin width) elicited by 20 repetitions of a single voltage pulses (2 V, 0.5 ms). Application of high [Mg2+], kynurenic acid or AP4 reduced the spiking activity. The number at each histogram indicates the time interval (minutes) after switching to the perfusate with the agents given at the right and to the standard perfusate for washing out the agents. Scale bars 100 ms, 100 spikes/s. Reprinted from [53], Fig. 6, with permission
12.2.2.2 Threshold vs. Polarity of Stimulation Pulse
It is well known that axons (including those of RGCs) are more sensitive to a cathodal current pulse than to an anodal current pulse [56]. When RGCs are activated through electrical stimulation of presynaptic cells, the situation is not so straightforward.
Jensen and Rizzo [19] reported that when the rabbit retina is stimulated with a subretinal electrode the threshold current needed to activate OFF RGCs was much lower for an anodal current pulse than for a cathodal current pulse. On the other hand, cathodal and anodal current pulses were on average equally effective for activating ON RGC cells. This is illustrated in Fig. 12.11, in which threshold measurements were made for RGC responses to stimulation of the neural network.
12 The Response of Retinal Neurons to Electrical Stimulation |
245 |
Fig. 12.11 Threshold charge as a function of stimulus pulse duration for OFF ganglion cells (left graph) and ON ganglion cells (right graph) for both cathodal and anodal stimulus pulses. For OFF ganglion cells (left), anodal stimulation produces a substantially lower activation threshold for all pulse durations, while as a whole ON ganglion cells (right) are insensitive to the polarity of stimulation. Reprinted from [19], Figs. 4 and 5, with permission
In the chicken retina, Stett et al. [54] reported that when the neural network is stimulated with a subretinal electrode, anodal voltage pulses were overall more effective than cathodal voltage pulses. They found that on average a 3.2-fold difference in thresholds. They did not distinguish between ON and OFF RGCs. Nevertheless, both studies suggest that for indirect activation of RGCs (with a subretinal electrode) an anodal stimulus is in general more effective than a cathodal stimulus. The findings of Jensen and Rizzo [19] further suggest that a cathodal current pulse may bias activation of ON cells over OFF cells. Results such as these may one day underlie methods to selectively activate ON vs. OFF pathways which would allow more physiological patterns of activity to be elicited.
In contrast to the ON-OFF selectivity found in rabbit (described above), a recent study conducted in the mouse retina [22] found that the median threshold current for cathodal stimulation of ON RGCs was only 32% lower than for OFF RGCs and this difference was not statistically significant. Thus, it would seem from the mouse experiments that a cathodal current pulse may not bias activation of ON cells over OFF cells as the findings in the rabbit would suggest. It will be of interest to examine the thresholds of ON and OFF RGCs to anodal and cathodal current pulses in the primate retina.
12.2.2.3 Spatial Extent of Activation
Stett et al. [54] examined the spatial extent of activation of RGCs in the chicken retina. They used an ultra-fine (1-mm diameter) tip electrode for stimulating the retina and a dense multielectrode array to record simultaneously from many RGCs in the retina.
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They reported a half width of an “electrical point spread function” of ~100 mm. This distance on the retina corresponds to a visual angle of 21¢ in the human eye. A minimum angle of resolution of 21¢ corresponds to a visual acuity of ~20/400. It will be of interest to examine the electrical point spread function of RGCs in the primate fovea where the convergence of photoreceptors and bipolar cells onto RGCs is very low. The findings may indicate that a higher visual acuity is possible.
12.2.2.4 Temporal Response Properties
Fried et al. [8] showed that when rabbit RGCs are indirectly activated with an epiretinal stimulating electrode, bipolar cell output is drastically reduced by a 10 Hz stimulation frequency. The situation is not much different with a subretinal stimulating electrode. Jensen and Rizzo [20] showed that the responses of rabbit RGCs to stimulation of the neural network began to diminish in size when the retina was stimulated within ~400 ms of a preceding current pulse (Fig. 12.12). The shorter the interpulse interval, the smaller was the response to the second stimulation pulse. They also studied the responses of RGCs to trains of pulses applied at different frequencies . As expected, the responses were greatly reduced for stimulation frequencies >25 Hz. These data indicate that rapid electrical stimulation of the retina in patients with a retinal prosthesis may be counterproductive, assuming that RGCs are being activated through the neural network.
Fig. 12.12 Mean pairedpulse depression of RGC cell response amplitudes in rabbit retina. Data were collected using biphasic current pulses of 1 ms per phase. Amp1 amplitude of first response; Amp2 amplitude of second response. Reprinted from [20], Fig. 2, with permission
