Temporal structure in spiking patterns of ganglion cells defines perceptual thresholds in rodents with subretinal prosthesis.

Subretinal prostheses are designed to restore sight in patients blinded by retinal degeneration using electrical stimulation of the inner retinal neurons. To relate retinal output to perception, we studied behavioral thresholds in blind rats with photovoltaic subretinal prostheses stimulated by full-field pulsed illumination at 20 Hz, and measured retinal ganglion cell (RGC) responses to similar stimuli ex-vivo. Behaviorally, rats exhibited startling response to changes in brightness, with an average contrast threshold of 12%, which could not be explained by changes in the average RGC spiking rate. However, RGCs exhibited millisecond-scale variations in spike timing, even when the average rate did not change significantly. At 12% temporal contrast, changes in firing patterns of prosthetic response were as significant as with 2.3% contrast steps in visible light stimulation of healthy retinas. This suggests that millisecond-scale changes in spiking patterns define perceptual thresholds of prosthetic vision. Response to the last pulse in the stimulation burst lasted longer than the steady-state response during the burst. This may be interpreted as an excitatory OFF response to prosthetic stimulation, and can explain behavioral response to decrease in illumination. Contrast enhancement of images prior to delivery to subretinal prosthesis can partially compensate for reduced contrast sensitivity of prosthetic vision

Simulating and optimizing electrical current flow and neuronal activation in retinal implants

© 2018 Dr Timothy Bede Esler[Abstract Withheld

Zapping the Retina - Understanding electrical responsiveness and electrical desensitization in mouse retinal ganglion cells

The field of science and technology has come a long way since the famous 70’s science fiction series “The Six Million Dollar Man,” where a disabled pilot was transformed into a bionic superhero after receiving artificial implants. What was indeed once a science fiction has now turned into a science fact with the development of various electronic devices interfacing the human neurons in the brain, retina, and limbs. One such advancement was the development of retinal implants. Over the past two decades, the field of retinal prosthetics has made significant advancement in restoring functional vision in patients blinded by diseases such as Retinitis pigmentosa (RP) and Age-related macular degeneration (AMD). RP and AMD are the two leading cause of degenerative blindness. While there is still no definitive cure for either of these diseases, various treatment strategies are currently being explored. Of the various options, the most successful one has been the retinal implants. Retinal implants are small microelectrode or photodiode arrays, which are implanted in the eye of a patient, to stimulate the degenerating retina electrically. They are broadly classified into three types depending on the placement ̶ epiretinal (close proximity to retinal ganglion cells, RGCs) , subretinal (close proximity to bipolar cells, BP) and suprachoroidal (close proximity to choroid). While the ongoing human trials have shown promising results, there remains a considerable variability among patients concerning the quality of visual percepts which limits the working potential of these implants. One such limitation often reported by the implanted patients is “ fading” of visual percepts. Fading refers to the limited ability to elicit temporally stable visual percepts. While, this is not a primary concern for epiretinal implants , it is often observed in subretinal and suprachoroidal implants which use the remaining retinal network to control the temporal spiking pattern of the ganglion cells. The neural correlate of fading is often referred to as “electrical desensitization”, which is the reduction of ganglion cell responses to repetitive electrical stimulation . While much is known about the temporal component of desensitization ( time constant, τ), the spatial aspects (space constant, λ) has not been well characterized. Further, how both these aspects interact to generate spiking responses, remains poorly understood. These crucial questions formed the critical components of my thesis. To address these questions, we stimulated the retinal network electrically, with voltage and current pulses and recorded the corresponding spiking activity using the microelectrode arrays (MEAs). While addressing the primary question of my thesis, we were able to address few idiosyncrasies which has currently stymied the field of retinal prosthetics. At a conceptual level, we have developed an experimental and analysis framework by which one can identify the single stimulus that will activate the most ganglion cells (Chapter 2, Part 1). This stimulus is optimal for ‘blind’ experiments where the specific response properties of each cell are unknown. Furthermore, we attempted to understand the correspondence between the electrical response patterns and visual response types (Chapter 2, Part2). In Chapter 3, we sought to understand better how the visual responses parameters change during ongoing electrical stimulation. We demonstrated that apart from the adaptation occurring due to visual stimulation and invitro experimental conditions, the electrical stimulation alters the RGC visual responses, suggesting the requirement for stimulation-induced changes to be incorporated in the designing of stimulation paradigms for the implant. Finally addressing the primary question (Chapter 4) of my thesis with which we started, we were able to demonstrate, that the electrical desensitization requires the interaction of both time and distance and is not a global phenomenon of the retina. In the final chapter (Chapter 5) we summarize the results of the thesis, discuss the key outcomes and its relevance to the prosthetic field and other vision restoration strategies and the potential future directions of this research. Therefore, in future, to improve the efficacy of retinal prostheses and patient outcomes, it is crucial to have an in-depth understanding of the responsiveness of the retinal circuitry to electrical stimulation

Doctor of Philosophy

dissertationThe goal of this work is to construct a simulation toolset for studying and improving neuroprosthetic devices for restoring neural functionality to patients with neural disorders or diseases. This involves the construction and validation of coupled electromagnetic-neural computational models of retina and hippocampus, compiling knowledge from a broad multidisciplinary background into a single computational platform, with features specific to implant electronics, bulk tissue, cellular and neural network behavior, and diseased tissue. The application of a retina prosthetic device for restoring partial vision to patients blinded by degenerative diseases was first considered. This began with the conceptualization of the retina model, translating features of a connectome, implant electronics, and medical images into a computational model that was "degenerated." It was then applied to the design of novel electrode geometries towards increasing the resolution of induced visual percept, and of stimulation waveform shapes for increasing control of induced neural activity in diseased retina. Throughout this process, features of the simulation toolset itself were modified to increase the precision of the results, leading to a novel method for computing effective bulk resistivity for use in such multiscale modeling. This simulation strategy was then extended to the application of a hippocampus prosthetic device, which has been proposed to restore and/or enhance memory in patients with memory disorders such as Alzheimer's disease or dementia. Using this multiscale modeling approach, we are able to provide recommendations for electrode geometry, placement, and stimulation magnitude for increased safety and efficacy in future experimental trials. In attempt to model neural activity in dense hippocampal tissue, a simulation platform for considering the effects the electrical activity of neural networks have on the extracellular electric field, and therefore have on their neighboring cells, was constructed, further increasing the predictive ability of the proposed methodology for modeling electrical stimulation of neural tissue

The potential of microelectrode arrays and microelectronics for biomedical research and diagnostics

Planar microelectrode arrays (MEAs) are devices that can be used in biomedical and basic in vitro research to provide extracellular electrophysiological information about biological systems at high spatial and temporal resolution. Complementary metal oxide semiconductor (CMOS) is a technology with which MEAs can be produced on a microscale featuring high spatial resolution and excellent signal-to-noise characteristics. CMOS MEAs are specialized for the analysis of complete electrogenic cellular networks at the cellular or subcellular level in dissociated cultures, organotypic cultures, and acute tissue slices; they can also function as biosensors to detect biochemical events. Models of disease or the response of cellular networks to pharmacological compounds can be studied in vitro, allowing one to investigate pathologies, such as cardiac arrhythmias, memory impairment due to Alzheimer's disease, or vision impairment caused by ganglion cell degeneration in the retin

Organic electrode coatings for next-generation neural interfaces

Traditional neuronal interfaces utilize metallic electrodes which in recent years have reached a plateau in terms of the ability to provide safe stimulation at high resolution or rather with high densities of microelectrodes with improved spatial selectivity. To achieve higher resolution it has become clear that reducing the size of electrodes is required to enable higher electrode counts from the implant device. The limitations of interfacing electrodes including low charge injection limits, mechanical mismatch and foreign body response can be addressed through the use of organic electrode coatings which typically provide a softer, more roughened surface to enable both improved charge transfer and lower mechanical mismatch with neural tissue. Coating electrodes with conductive polymers or carbon nanotubes offers a substantial increase in charge transfer area compared to conventional platinum electrodes. These organic conductors provide safe electrical stimulation of tissue while avoiding undesirable chemical reactions and cell damage. However, the mechanical properties of conductive polymers are not ideal, as they are quite brittle. Hydrogel polymers present a versatile coating option for electrodes as they can be chemically modified to provide a soft and conductive scaffold. However, the in vivo chronic inflammatory response of these conductive hydrogels remains unknown. A more recent approach proposes tissue engineering the electrode interface through the use of encapsulated neurons within hydrogel coatings. This approach may provide a method for activating tissue at the cellular scale, however, several technological challenges must be addressed to demonstrate feasibility of this innovative idea. The review focuses on the various organic coatings which have been investigated to improve neural interface electrodes

A combined experimental and computational approach to investigate emergent network dynamics based on large-scale neuronal recordings

Sviluppo di un approccio integrato computazionale-sperimentale per lo studio di reti neuronali mediante registrazioni elettrofisiologich