{"title":"Maximizing Charge Injection Limits of Iridium Oxide Electrodes with a Programmable Anodic Bias Circuit.","authors":"Alpaslan Ersöz, Insoo Kim, Martin Han","doi":"10.1109/ner49283.2021.9441282","DOIUrl":"https://doi.org/10.1109/ner49283.2021.9441282","url":null,"abstract":"<p><p>Efficacious stimulation of neural tissues requires high charge injection capacity while minimizing electrode polarization. Applying anodic bias on certain electrode materials is a way to enhance charge injection both <i>in vitro</i> and <i>in vivo</i>. We developed an embedded neurostimulator system that enabled a digital control of user-defined bias levels, without requiring a potentiometer or external voltage source. Comparison of charge injection with and without anodic-bias, as well as at different bias potentials were conducted in phosphate-buffered saline with Blackrock iridium oxide microelectrodes. Results showed that a nine-fold increase in current intensity and charge injection capacity, was achieved with a 0.7 V anodic bias and within electrochemically safe limits.</p>","PeriodicalId":73414,"journal":{"name":"International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering","volume":" ","pages":"540-543"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/ner49283.2021.9441282","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39739968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kathleen E Kish, Robert D Graham, Kwoon Y Wong, James D Weiland
{"title":"The effect of axon trajectory on retinal ganglion cell activation with epiretinal stimulation.","authors":"Kathleen E Kish, Robert D Graham, Kwoon Y Wong, James D Weiland","doi":"10.1109/ner49283.2021.9441073","DOIUrl":"10.1109/ner49283.2021.9441073","url":null,"abstract":"<p><p>For epiretinal prostheses, disc electrodes stimulate retinal ganglion cells (RGCs) with electric current to create visual percepts. Prior studies have determined that the sodium channel band (SOCB), located on the RGC axon (30-50 μm from the soma) is the most sensitive site to extracellular stimulation because of its high sodium channel density. Biophysical cable models used to study RGC activation <i>in silico</i> often rely on simplified axon trajectories, disregarding the non-uniform paths that axons follow to the optic disc. However, since axonal activation is a critical mechanism in epiretinal stimulation, it is important to investigate variable RGC axon trajectories. In this study, we use a computational model to perform a sensitivity analysis examining how the morphology of an RGC axon affects predictions of retinal activation. We determine that RGC cable models are sensitive to changes in the ascending axon trajectory between the soma and nerve fiber layer. On the other hand, RGC cable models are relatively robust to trajectory deviations in the plane parallel to the disc electrode's surface. Overall, our results suggest that incorporating natural variations of soma depth and nerve fiber layer entry angle could result in a more realistic model of the retina's response to epiretinal stimulation and a better understanding of elicited visual percepts.</p>","PeriodicalId":73414,"journal":{"name":"International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering","volume":" ","pages":"263-266"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/ner49283.2021.9441073","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39515677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Simple Table-Top Technique for Multi-Signal Pseudo-Extracellular Recording.","authors":"Martin J Niemiec, Martin Han","doi":"10.1109/ner49283.2021.9441208","DOIUrl":"https://doi.org/10.1109/ner49283.2021.9441208","url":null,"abstract":"<p><p>Validation of neural probe performance often includes implantation in live animals, to assess ability to detect and distinguish signals generated by individual neurons. While this method is informative, an effective <i>in vitro</i> alternative would streamline device development and improve ethical considerations by reducing the use of animals in the validation of neural recording devices. Here, we describe a simple system using ball electrodes to apply multiple neural waveforms to phosphate buffered saline, which are simultaneously recorded by a microelectrode probe. Using this technique, our neural probe was able to detect and distinguish spikes from multiple units of roughly physiological amplitudes (~100 microvolts peak to peak), indicating promise as an <i>in vitro</i> alternative to animal testing for initial validation of neural recording devices.</p>","PeriodicalId":73414,"journal":{"name":"International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering","volume":" ","pages":"742-745"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/ner49283.2021.9441208","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39733850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Matthew N Petrucci, Kevin B Wilkins, Gerrit C Orthlieb, Yasmine M Kehnemouyi, Johanna J O'Day, Jeffrey A Herron, Helen M Bronte-Stewart
{"title":"Ramp Rate Evaluation and Configuration for Safe and Tolerable Closed-Loop Deep Brain Stimulation.","authors":"Matthew N Petrucci, Kevin B Wilkins, Gerrit C Orthlieb, Yasmine M Kehnemouyi, Johanna J O'Day, Jeffrey A Herron, Helen M Bronte-Stewart","doi":"10.1109/ner49283.2021.9441336","DOIUrl":"https://doi.org/10.1109/ner49283.2021.9441336","url":null,"abstract":"<p><p>Closed-loop deep brain stimulation is a novel form of therapy that has shown benefit in preliminary studies and may be clinically available in the near future. Initial closed-loop studies have primarily focused on responding to sensed biomarkers with adjustments to stimulation amplitude, which is often perceptible to study participants depending on the slew or \"ramp\" rate of the amplitude changes. These subjective responses to stimulation ramping can result in transient side effects, illustrating that ramp rate is a unique safety parameter for closed-loop neural systems. This presents a challenge to the future of closed-loop neuromodulation systems: depending on the goal of the control policy, clinicians will need to balance ramp rates to avoid side effects and keep the stimulation therapeutic by responding in time to affect neural dynamics. In this paper, we demonstrate the results of an initial investigation into methodology for finding safe and tolerable ramp rates in four people with Parkinson's disease (PD). Results suggest that optimal ramp rates were found more accurately during varying stimulation when compared to simply toggling between maximal and minimal intensity levels. Additionally, switching frequency instantaneously was tolerable at therapeutic levels of stimulation. Future work should focus on including optimization techniques to find ramp rates.</p>","PeriodicalId":73414,"journal":{"name":"International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering","volume":"2021 ","pages":"959-962"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/ner49283.2021.9441336","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10252387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Luis Vargas, He Helen Huang, Yong Zhu, Xiaogang Hu
{"title":"Perception of Static Position and Kinesthesia of the Finger using Vibratory Stimulation.","authors":"Luis Vargas, He Helen Huang, Yong Zhu, Xiaogang Hu","doi":"10.1109/ner49283.2021.9441255","DOIUrl":"https://doi.org/10.1109/ner49283.2021.9441255","url":null,"abstract":"<p><p>Proprioception provides information regarding the state of an individual's limb in terms of static position and kinesthesia (dynamic movement). When such feedback is lost or impaired, the performance of dexterous control of our biological limbs or assistive devices tends to deteriorate. In this study, we determined if external vibratory stimulation patterns could allow for the perception of a finger's static position and kinesthesia. Using four tactors and two stimulus levels, eight vibratory settings corresponded to eight discrete finger positions. The transition patterns between these eight settings corresponded to kinesthesia. Three experimental blocks assessed the perception of a finger's static position, speed, and movement (amplitude and direction). Our results demonstrated that both position and kinesthesia could be recognized with over 93% accuracy. The outcomes suggest that vibratory stimulus can inform subjects of static and dynamic aspects of finger proprioception. This sensory stimulation approach can be implemented to improve outcomes in clinical populations with sensory deficits, and to enhance user experience when users interact with assistive devices.</p>","PeriodicalId":73414,"journal":{"name":"International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering","volume":" ","pages":"1087-1090"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/ner49283.2021.9441255","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39773648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ashley N Dalrymple, Jordyn E Ting, Rohit Bose, Stephan Nieuwoudt, Manfred Franke, Kip A Ludwig, Andrew J Shoffstall, Lee E Fisher, Douglas J Weber
{"title":"Recruitment of Primary Afferents by Dorsal Root Ganglion Stimulation using the Injectrode.","authors":"Ashley N Dalrymple, Jordyn E Ting, Rohit Bose, Stephan Nieuwoudt, Manfred Franke, Kip A Ludwig, Andrew J Shoffstall, Lee E Fisher, Douglas J Weber","doi":"10.1109/ner49283.2021.9441420","DOIUrl":"https://doi.org/10.1109/ner49283.2021.9441420","url":null,"abstract":"<p><p>Chronic pain affects millions of people in the United States and pharmacological treatments have been ineffective. Dorsal root ganglion (DRG) stimulation is a neuromodulation method that delivers electrical stimulation to the DRG to relieve pain. DRG electrodes are rigid and cylindrical. The implantation of DRG electrodes requires a technically-challenging surgery that involves steering electrodes laterally towards the DRG. The Injectrode is an injectable conductive polymer that cures in place and is capable of delivering electrical current to stimulate neural tissue. We used the Injectrode to stimulate the L6 and L7 DRG in cats, measuring neural responses evoked in the sciatic, tibial, and common peroneal nerves to measure the thresholds for activating fibers. A cylindrical stainless-steel electrode was used for comparison. Thresholds were 38% higher with the Injectrode versus stainless-steel, likely owing to its larger contact surface area with the DRG. Both Aα and Aβ sensory fibers were activated using DRG stimulation. The Injectrode has the potential to offer a new and simple method for DRG stimulation that can potentially offer more complete coverage of the DRG.</p>","PeriodicalId":73414,"journal":{"name":"International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering","volume":" ","pages":"609-612"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/ner49283.2021.9441420","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39503003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Po-Min Wang, Stanislav Culaclii, William Yang, Yan Long, Jonathan Massachi, Yi-Kai Lo, Wentai Liu
{"title":"A Novel Biomimetic Stimulator System for Neural Implant.","authors":"Po-Min Wang, Stanislav Culaclii, William Yang, Yan Long, Jonathan Massachi, Yi-Kai Lo, Wentai Liu","doi":"10.1109/NER.2019.8716942","DOIUrl":"https://doi.org/10.1109/NER.2019.8716942","url":null,"abstract":"<p><p>Electrical stimulation using non-periodic biomimetic stimulation pattern has been shown to be effective in various critical biomedical applications. However, the existing programmable stimulators that support this protocol are non-portable and have architectures that are not translatable to wearable or implantable applications. In this work, we present a 32-channel neural stimulator system based on an implantable System-On-Chip (SoC) that addresses these technological challenges. The system is designed to be portable, powered by a single battery, wirelessly controlled, and versatile to perform concurrent multi-channel stimulation with independent arbitrary waveforms. The experimental results demonstrate multi-channel stimulation mimicking electromyography (EMG) waveforms and randomly-spaced stimulation pulses mimicking neuronal firing patterns. This compact and highly flexible prototype can support various neuromodulation researches and animal studies and serves as a precursor for the development of the next generation implantable biomimetic stimulator.</p>","PeriodicalId":73414,"journal":{"name":"International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering","volume":" ","pages":"843-846"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/NER.2019.8716942","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37318442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dongxiao Yan, Ahmad Jiman, David Ratze, Shuo Huang, Saman Parizi, Elissa Welle, Zhonghua Ouyang, Paras Patel, Mark J Kushner, Cynthia Chestek, Tim M Bruns, Euisik Yoon, John Seymour
{"title":"Microneedle Penetrating Array with Axon-Sized Dimensions for Cuff-less Peripheral Nerve Interfacing.","authors":"Dongxiao Yan, Ahmad Jiman, David Ratze, Shuo Huang, Saman Parizi, Elissa Welle, Zhonghua Ouyang, Paras Patel, Mark J Kushner, Cynthia Chestek, Tim M Bruns, Euisik Yoon, John Seymour","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Autonomic nerves are typically only hundreds of microns in diameter near their organ targets and these carry all of the sympathetic and parasympathetic control signals. We present a cuff-less microneedle array specifically designed to potentially map small autonomic nerves. The focus of this paper is the design and fabrication of an ultra-miniaturized silicon needle array on a silicone substrate. We demonstrate arrays having 25 to 100 microneedles. Each needle has a 1-micron tip and dual-taper shaft. We demonstrate an ability to control the tip shape, angle, and shaft angle which is important for balancing sharpness and stiffness. These high-density arrays also include a special backside anchor embedded in silicone for stability in the elastic substrate, yet the array freely wraps over a 300-μm nerve. Another critical method presented here is a surgical technique for inserting and securing an array without a cuff (as small as 0.3 mm wide and 1.2 mm long) by photochemical bonding of collagen/Rose Bengal adhesive agents to epineurium. Future work will focus on device functionalization and histological characterization in a rat vagus model.</p>","PeriodicalId":73414,"journal":{"name":"International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering","volume":"2019 ","pages":"827-830"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12821335/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146031972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mark Hays, Luke Osborn, Rohan Ghosh, Mark Iskarous, Christopher Hunt, Nitish V Thakor
{"title":"Neuromorphic vision and tactile fusion for upper limb prosthesis control.","authors":"Mark Hays, Luke Osborn, Rohan Ghosh, Mark Iskarous, Christopher Hunt, Nitish V Thakor","doi":"10.1109/ner.2019.8716890","DOIUrl":"10.1109/ner.2019.8716890","url":null,"abstract":"<p><p>A major issue with upper limb prostheses is the disconnect between sensory information perceived by the user and the information perceived by the prosthesis. Advances in prosthetic technology introduced tactile information for monitoring grasping activity, but visual information, a vital component in the human sensory system, is still not fully utilized as a form of feedback to the prosthesis. For able-bodied individuals, many of the decisions for grasping or manipulating an object, such as hand orientation and aperture, are made based on visual information before contact with the object. We show that inclusion of neuromorphic visual information, combined with tactile feedback, improves the ability and efficiency of both able-bodied and amputee subjects to pick up and manipulate everyday objects. We discovered that combining both visual and tactile information in a real-time closed loop feedback strategy generally decreased the completion time of a task involving picking up and manipulating objects compared to using a single modality for feedback. While the full benefit of the combined feedback was partially obscured by experimental inaccuracies of the visual classification system, we demonstrate that this fusion of neuromorphic signals from visual and tactile sensors can provide valuable feedback to a prosthetic arm for enhancing real-time function and usability.</p>","PeriodicalId":73414,"journal":{"name":"International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering","volume":"2019 ","pages":"981-984"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8053366/pdf/nihms-1690724.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10497074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Feng Liu, Emily P Stephen, Michael J Prerau, Patrick L Purdon
{"title":"Sparse Multi-task Inverse Covariance Estimation for Connectivity Analysis in EEG Source Space.","authors":"Feng Liu, Emily P Stephen, Michael J Prerau, Patrick L Purdon","doi":"10.1109/NER.2019.8717043","DOIUrl":"https://doi.org/10.1109/NER.2019.8717043","url":null,"abstract":"<p><p>Understanding how different brain areas interact to generate complex behavior is a primary goal of neuroscience research. One approach, functional connectivity analysis, aims to characterize the connectivity patterns within brain networks. In this paper, we address the problem of <i>discriminative</i> connectivity, i.e. determining the differences in network structure under different experimental conditions. We introduce a novel model called Sparse Multi-task Inverse Covariance Estimation (SMICE) which is capable of estimating a common connectivity network as well as discriminative networks across different tasks. We apply the method to EEG signals after solving the inverse problem of source localization, yielding networks defined on the cortical surface. We propose an efficient algorithm based on the Alternating Direction Method of Multipliers (ADMM) to solve SMICE. We apply our newly developed framework to find common and discriminative connectivity patterns for <i>α</i>-oscillations during the Sleep Onset Process (SOP) and during Rapid Eye Movement (REM) sleep. Even though both stages exhibit a similar <i>α</i>-oscillations, we show that the underlying networks are distinct.</p>","PeriodicalId":73414,"journal":{"name":"International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering","volume":" ","pages":"299-302"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/NER.2019.8717043","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37296378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}