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Moreno Romero GN, Twyman AR, Bandres MF, McPherson JG. Unintentionally intentional: unintended effects of spinal stimulation as a platform for multi-modal neurorehabilitation after spinal cord injury. Bioelectron Med 2024; 10:12. [PMID: 38745334 PMCID: PMC11094943 DOI: 10.1186/s42234-024-00144-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Accepted: 04/19/2024] [Indexed: 05/16/2024] Open
Abstract
Electrical stimulation of spinal neurons has emerged as a valuable tool to enhance rehabilitation after spinal cord injury. In separate parameterizations, it has shown promise for improving voluntary movement, reducing symptoms of autonomic dysreflexia, improving functions mediated by muscles of the pelvic floor (e.g., bowel, bladder, and sexual function), reducing spasms and spasticity, and decreasing neuropathic pain, among others. This diverse set of actions is related both to the density of sensorimotor neural networks in the spinal cord and to the intrinsic ability of electrical stimulation to modulate neural transmission in multiple spinal networks simultaneously. It also suggests that certain spinal stimulation parameterizations may be capable of providing multi-modal therapeutic benefits, which would directly address the complex, multi-faceted rehabilitation goals of people living with spinal cord injury. This review is intended to identify and characterize reports of spinal stimulation-based therapies specifically designed to provide multi-modal benefits and those that report relevant unintended effects of spinal stimulation paradigms parameterized to enhance a single consequence of spinal cord injury.
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Affiliation(s)
- Gerson N Moreno Romero
- Program in Physical Therapy, Washington University School of Medicine, St. Louis, MO, USA
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA
| | - Avery R Twyman
- Program in Physical Therapy, Washington University School of Medicine, St. Louis, MO, USA
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA
| | - Maria F Bandres
- Program in Physical Therapy, Washington University School of Medicine, St. Louis, MO, USA
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA
| | - Jacob Graves McPherson
- Program in Physical Therapy, Washington University School of Medicine, St. Louis, MO, USA.
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA.
- Washington University Pain Center, Washington University School of Medicine, St. Louis, MO, USA.
- Program in Neurosciences, Washington University School of Medicine, St. Louis, MO, USA.
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA.
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2
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Falahatdoost S, Prawer YDJ, Peng D, Chambers A, Zhan H, Pope L, Stacey A, Ahnood A, Al Hashem HN, De León SE, Garrett DJ, Fox K, Clark MB, Ibbotson MR, Prawer S, Tong W. Control of Neuronal Survival and Development Using Conductive Diamond. ACS Appl Mater Interfaces 2024; 16:4361-4374. [PMID: 38232177 DOI: 10.1021/acsami.3c14680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
This study demonstrates the control of neuronal survival and development using nitrogen-doped ultrananocrystalline diamond (N-UNCD). We highlight the role of N-UNCD in regulating neuronal activity via near-infrared illumination, demonstrating the generation of stable photocurrents that enhance neuronal survival and neurite outgrowth and foster a more active, synchronized neuronal network. Whole transcriptome RNA sequencing reveals that diamond substrates improve cellular-substrate interaction by upregulating extracellular matrix and gap junction-related genes. Our findings underscore the potential of conductive diamond as a robust and biocompatible platform for noninvasive and effective neural tissue engineering.
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Affiliation(s)
- Samira Falahatdoost
- School of Physics, The University of Melbourne, Parkville, Victoria 3010, Australia
| | - Yair D J Prawer
- Department of Anatomy and Physiology, The University of Melbourne, Parkville, Victoria 3010, Australia
| | - Danli Peng
- School of Physics, The University of Melbourne, Parkville, Victoria 3010, Australia
| | - Andre Chambers
- School of Physics, The University of Melbourne, Parkville, Victoria 3010, Australia
- Department of Mechanical Engineering, The University of Melbourne, Parkville, Victoria 3010, Australia
| | - Hualin Zhan
- School of Physics, The University of Melbourne, Parkville, Victoria 3010, Australia
- School of Engineering, The Australian National University, Canberra, Australian Capital Territory 2601, Australia
| | - Leon Pope
- School of Engineering, STEM College, The RMIT University, Melbourne, Victoria 3000, Australia
| | - Alastair Stacey
- School of Science, STEM College, The RMIT University, Melbourne, Victoria 3000, Australia
| | - Arman Ahnood
- School of Engineering, The RMIT University, Melbourne, Victoria 3000, Australia
| | - Hassan N Al Hashem
- School of Engineering, The RMIT University, Melbourne, Victoria 3000, Australia
| | - Sorel E De León
- School of Engineering, The RMIT University, Melbourne, Victoria 3000, Australia
| | - David J Garrett
- School of Engineering, The RMIT University, Melbourne, Victoria 3000, Australia
| | - Kate Fox
- School of Engineering, The RMIT University, Melbourne, Victoria 3000, Australia
| | - Michael B Clark
- Department of Anatomy and Physiology, The University of Melbourne, Parkville, Victoria 3010, Australia
| | - Michael R Ibbotson
- Department of Biomedical Engineering, The University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Steven Prawer
- School of Physics, The University of Melbourne, Parkville, Victoria 3010, Australia
| | - Wei Tong
- School of Physics, The University of Melbourne, Parkville, Victoria 3010, Australia
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3
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Lee CH, Park YK, Lee K. Recent strategies for neural dynamics observation at a larger scale and wider scope. Biosens Bioelectron 2023; 240:115638. [PMID: 37647685 DOI: 10.1016/j.bios.2023.115638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 08/15/2023] [Accepted: 08/24/2023] [Indexed: 09/01/2023]
Abstract
The tremendous technical progress in neuroscience offers opportunities to observe a more minor or/and broader dynamic picture of the brain. Moreover, the large-scale neural activity of individual neurons enables the dissection of detailed mechanistic links between neural populations and behaviors. To measure neural activity in-vivo, multi-neuron recording, and neuroimaging techniques are employed and developed to acquire more neurons. The tools introduced concurrently recorded dozens to hundreds of neurons in the coordinated brain regions and elucidated the neuronal ensembles from a massive population perspective of diverse neurons at cellular resolution. In particular, the increasing spatiotemporal resolution of neuronal monitoring across the whole brain dramatically facilitates our understanding of additional nervous system functions in health and disease. Here, we will introduce state-of-the-art neuroscience tools involving large-scale neural population recording and the long-range connections spanning multiple brain regions. Their synergic effects provide to clarify the controversial circuitry underlying neuroscience. These challenging neural tools present a promising outlook for the fundamental dynamic interplay across levels of synaptic cellular, circuit organization, and brain-wide. Hence, more observations of neural dynamics will provide more clues to elucidate brain functions and push forward innovative technology at the intersection of neural engineering disciplines. We hope this review will provide insight into the use or development of recent neural techniques considering spatiotemporal scales of brain observation.
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Affiliation(s)
- Chang Hak Lee
- Department of Brain Sciences, Daegu Gyeongbuk Institute of Science & Technology (DGIST), Daegu, South Korea
| | - Young Kwon Park
- Department of Brain Sciences, Daegu Gyeongbuk Institute of Science & Technology (DGIST), Daegu, South Korea
| | - Kwang Lee
- Department of Brain Sciences, Daegu Gyeongbuk Institute of Science & Technology (DGIST), Daegu, South Korea.
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4
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Kim SD, Kim K, Shin M. Recent advances in 3D printable conductive hydrogel inks for neural engineering. Nano Converg 2023; 10:41. [PMID: 37679589 PMCID: PMC10484881 DOI: 10.1186/s40580-023-00389-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Accepted: 08/23/2023] [Indexed: 09/09/2023]
Abstract
Recently, the 3D printing of conductive hydrogels has undergone remarkable advances in the fabrication of complex and functional structures. In the field of neural engineering, an increasing number of reports have been published on tissue engineering and bioelectronic approaches over the last few years. The convergence of 3D printing methods and electrically conducting hydrogels may create new clinical and therapeutic possibilities for precision regenerative medicine and implants. In this review, we summarize (i) advancements in preparation strategies for conductive materials, (ii) various printing techniques enabling the fabrication of electroconductive hydrogels, (iii) the required physicochemical properties of the printed constructs, (iv) their applications in bioelectronics and tissue regeneration for neural engineering, and (v) unconventional approaches and outlooks for the 3D printing of conductive hydrogels. This review provides technical insights into 3D printable conductive hydrogels and encompasses recent developments, specifically over the last few years of research in the neural engineering field.
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Affiliation(s)
- Sung Dong Kim
- Department of Biomedical Engineering, Sungkyunkwan University, Suwon, 16419, Republic of Korea
- Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon, 16419, Republic of Korea
| | - Kyoungryong Kim
- Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon, 16419, Republic of Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, 16419, Republic of Korea
| | - Mikyung Shin
- Department of Biomedical Engineering, Sungkyunkwan University, Suwon, 16419, Republic of Korea.
- Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon, 16419, Republic of Korea.
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, 16419, Republic of Korea.
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5
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Neuman KE, Kenny A, Shi L, Koppes AN, Koppes RA. Complex Material Properties of Gel-Amin: A Transparent and Ionically Conductive Hydrogel for Neural Tissue Engineering. Cells Tissues Organs 2023; 212:45-63. [PMID: 35468604 DOI: 10.1159/000524692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 04/11/2022] [Indexed: 11/19/2022] Open
Abstract
The field of tissue engineering has benefited greatly from the broad development of natural and synthetic polymers. Extensive work in neural engineering has demonstrated the value of conductive materials to improve spontaneous neuron activity as well as lowering the necessary field parameters for exogenous electrical stimulation. Further, cell fate is directly coupled to the mechanical properties of the cell culture substrate. Increasing the conductivity of hydrogel materials often necessitates the addition of dopant materials that facilitate electron mobility. However, very little electron transfer is observed in native cell signaling and most of these materials are opaque, severely limiting microscopy applications commonly employed to assess cell culture morphology and function. To overcome these shortcomings, the inclusion of an ionic liquid, choline acrylate, into the backbone of a modified collagen polymer increases the bulk conductivity 5-fold at a 1:1 ratio while maintaining optical transmission of visible light. Here, we explore how the inclusion of choline acrylate influences bulk material properties including the mechanical, swelling, and optical properties of our hydrogels, referred to as Gel-Amin hydrogels, as a material for tissue culture. Despite an increase in swelling over traditional GelMA materials, the conductive hydrogels support whole dorsal root ganglia encapsulation and outgrowth. Our results indicate that our Gel-Amin system holds potential for neural engineering applications and lowering the required charge injection for the application of exogenous electrical stimulation. This is this first time an ionic liquid-hydrogel system has been used to culture and support primary neurons in vitro.
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Affiliation(s)
- Katelyn E Neuman
- Department of Chemical Engineering, Northeastern University, Boston, Massachusetts, USA
| | - Aidan Kenny
- Department of Mechanical Engineering, Northeastern University, Boston, Massachusetts, USA
| | - Lily Shi
- Department of Chemical Engineering, Northeastern University, Boston, Massachusetts, USA
| | - Abigail N Koppes
- Department of Chemical Engineering, Northeastern University, Boston, Massachusetts, USA.,Department of Biology, Northeastern University, Boston, Massachusetts, USA
| | - Ryan A Koppes
- Department of Chemical Engineering, Northeastern University, Boston, Massachusetts, USA
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6
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Shor E, Herrero-Vidal P, Dewan A, Uguz I, Curto VF, Malliaras GG, Savin C, Bozza T, Rinberg D. Sensitive and robust chemical detection using an olfactory brain-computer interface. Biosens Bioelectron 2022; 195:113664. [PMID: 34624799 DOI: 10.1016/j.bios.2021.113664] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 08/09/2021] [Accepted: 09/20/2021] [Indexed: 12/13/2022]
Abstract
When it comes to detecting volatile chemicals, biological olfactory systems far outperform all artificial chemical detection devices in their versatility, speed, and specificity. Consequently, the use of trained animals for chemical detection in security, defense, healthcare, agriculture, and other applications has grown astronomically. However, the use of animals in this capacity requires extensive training and behavior-based communication. Here we propose an alternative strategy, a bio-electronic nose, that capitalizes on the superior capability of the mammalian olfactory system, but bypasses behavioral output by reading olfactory information directly from the brain. We engineered a brain-computer interface that captures neuronal signals from an early stage of olfactory processing in awake mice combined with machine learning techniques to form a sensitive and selective chemical detector. We chronically implanted a grid electrode array on the surface of the mouse olfactory bulb and systematically recorded responses to a large battery of odorants and odorant mixtures across a wide range of concentrations. The bio-electronic nose has a comparable sensitivity to the trained animal and can detect odors on a variable background. We also introduce a novel genetic engineering approach that modifies the relative abundance of particular olfactory receptors in order to improve the sensitivity of our bio-electronic nose for specific chemical targets. Our recordings were stable over months, providing evidence for robust and stable decoding over time. The system also works in freely moving animals, allowing chemical detection to occur in real-world environments. Our bio-electronic nose outperforms current methods in terms of its stability, specificity, and versatility, setting a new standard for chemical detection.
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Affiliation(s)
- Erez Shor
- Neuroscience Institute, New York University Langone Health, New York, NY, 10016, USA
| | - Pedro Herrero-Vidal
- Neuroscience Institute, New York University Langone Health, New York, NY, 10016, USA; Center for Neural Science, New York University, New York, NY, 10003, USA
| | - Adam Dewan
- Department of Neurobiology, Northwestern University, Evanston, IL, 60208, USA; Department of Psychology, Florida State University, Tallahassee, FL, 32306, USA
| | - Ilke Uguz
- Electrical Engineering, Columbia University, 5798 New York, NY, 10027, USA
| | - Vincenzo F Curto
- Division of Electrical Engineering, Department of Engineering, Cambridge University, Cambridge, UK
| | - George G Malliaras
- Division of Electrical Engineering, Department of Engineering, Cambridge University, Cambridge, UK
| | - Cristina Savin
- Neuroscience Institute, New York University Langone Health, New York, NY, 10016, USA; Center for Neural Science, New York University, New York, NY, 10003, USA; Center for Data Science, New York University, New York, NY, 10003, USA
| | - Thomas Bozza
- Department of Neurobiology, Northwestern University, Evanston, IL, 60208, USA
| | - Dmitry Rinberg
- Neuroscience Institute, New York University Langone Health, New York, NY, 10016, USA; Center for Neural Science, New York University, New York, NY, 10003, USA; Department of Physics, New York University, New York, NY 10003, USA.
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7
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Soucy JR, Burchett G, Brady R, Nichols K, Breault DT, Koppes AN, Koppes RA. Innervated adrenomedullary microphysiological system to model nicotine and opioid exposure. Organs Chip 2021; 3:100009. [PMID: 38650595 PMCID: PMC11034938 DOI: 10.1016/j.ooc.2021.100009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/25/2024]
Abstract
Transition to extrauterine life results in a surge of catecholamines necessary for increased cardiovascular, respiratory, and metabolic activity. Mechanisms mediating adrenomedullary catecholamine release are poorly understood. Important mechanistic insight is provided by newborns delivered by cesarean section or subjected to prenatal nicotine or opioid exposure, demonstrating impaired release of adrenomedullary catecholamines. To investigate mechanisms regulating adrenomedullary innervation, we developed compartmentalized 3D microphysiological systems (MPS) by exploiting GelPins, capillary pressure barriers between cell-laden hydrogels. The MPS comprises discrete cultures of adrenal chromaffin cells and preganglionic sympathetic neurons within a contiguous bioengineered microtissue. Using this model, we demonstrate that adrenal chromaffin innervation plays a critical role in hypoxia-mediated catecholamine release. Opioids and nicotine were shown to affect adrenal chromaffin cell response to a reduced oxygen environment, but neurogenic control mechanisms remained intact. GelPin containing MPS represent an inexpensive and highly adaptable approach to study innervated organ systems and improve drug screening platforms.
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Affiliation(s)
| | | | - Ryan Brady
- Chemical Engineering, Northeastern University, Boston, MA, USA
| | - Kyla Nichols
- Chemical Engineering, Northeastern University, Boston, MA, USA
| | - David T. Breault
- Division of Endocrinology, Boston Children’s Hospital, Center for Life Sciences, Boston, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Abigail N. Koppes
- Chemical Engineering, Northeastern University, Boston, MA, USA
- Biology, Northeastern University, Boston, MA, USA
| | - Ryan A. Koppes
- Chemical Engineering, Northeastern University, Boston, MA, USA
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8
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Yang C, Park S. Nanomaterials-assisted thermally induced neuromodulation. Biomed Eng Lett 2021; 11:163-170. [PMID: 34350045 DOI: 10.1007/s13534-021-00193-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 05/22/2021] [Accepted: 06/02/2021] [Indexed: 11/29/2022] Open
Abstract
Neuromodulation, as a fast-growing technique in neuroscience, has been a great tool in investigation of the neural pathways and treatments for various neurological disorders. However, the limitations such as constricted penetration depth, low temporal resolution and low spatial resolution hindered the development and clinical application of this technique. Nanotechnology, which refers to the technology that deals with dimension under 100 nm, has greatly influenced the direction of scientific researches within recent years. With the recent advancements in nanotechnology, much attention is being given at applying nanomaterials to address the limitations of the current available techniques in the field of biomedical science including neuromodulation. This mini-review aims to introduce the current state-of-the-art stimuli-responsive nanomaterials used for assisting thermally induced neuromodulation.
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Affiliation(s)
- Congqi Yang
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141 Republic of Korea
| | - Seongjun Park
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141 Republic of Korea.,KAIST Institute for Health Science and Technology (KIHST), Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141 Republic of Korea
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9
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Bergsman KC, Chudler EH. Adapting a Neural Engineering Summer Camp for High School Students to a Fully Online Experience. Biomed Eng Educ 2020; 1:37-42. [PMID: 38624425 PMCID: PMC7430931 DOI: 10.1007/s43683-020-00011-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Accepted: 07/23/2020] [Indexed: 06/15/2023]
Abstract
The COVID-19 pandemic and its resulting health and safety concerns caused the cancellation of many engineering education opportunities for high school students. To expose high school students to the field of neural engineering and encourage them to pursue academic pathways in biomedical engineering, the Center for Neurotechnology (CNT) at the University of Washington converted an in-person summer camp to a fully online program (Virtual REACH Program, VRP) offering both synchronous and asynchronous resources. The VRP is a five-day online program that focuses on a different daily theme (neuroscience, brain-computer interfaces, electrical stimulation, neuroethics, career/academic pathways). Each day, the VRP starts with a live videoconference meeting (lecture and interactive discussion) with a CNT faculty member. The online lectures are supported by at-home learning resources (e.g., text, videos, activities, quizzes) embedded within a digital book created using the Pressbook platform. An online bulletin board (Padlet) is also used by students to share artifacts and build community. Program evaluation will be conducted by an external evaluator. A summative survey will collect information on participants' experiences in the VRP and will help inform future iterations of the program. Although significant time was required to create a digital book, the VRP will reach a larger audience than the prior in-person program and resulted in the creation of learning tools that can be used in the future.
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Affiliation(s)
| | - Eric H. Chudler
- Center for Neurotechnology, University of Washington, Seattle, WA USA
- Department of Bioengineering, University of Washington, Seattle, WA USA
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Garrudo FFF, Udangawa RN, Hoffman PR, Sordini L, Chapman CA, Mikael PE, Ferreira FA, Silva JC, Rodrigues CAV, Cabral JMS, Morgado JMF, Ferreira FC, Linhardt RJ. POLYBENZIMIDAZOLE NANOFIBERS FOR NEURAL STEM CELL CULTURE. Mater Today Chem 2019; 14:100185. [PMID: 32864530 PMCID: PMC7448546 DOI: 10.1016/j.mtchem.2019.08.004] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
Neurodegenerative diseases compromise the quality of life of increasing numbers of the world's aging population. While diagnosis is possible no effective treatments are available. Strong efforts are needed to develop new therapeutic approaches, namely in the areas of tissue engineering and deep brain stimulation (DBS). Conductive polymers are the ideal material for these applications due to the positive effect of conducting electricity on neural cell's differentiation profile. This novel study assessed the biocompatibility of polybenzimidazole (PBI), as electrospun fibers and after being doped with different acids. Firstly, doped films of PBI were used to characterize the materials' contact angle and electroconductivity. After this, fibers were electrospun and characterized by SEM, FTIR and TGA. Neural Stem Cell's (NSC) proliferation was assessed and their growth rate and morphology on different samples was determined. Differentiation of NSCs on PBI - CSA fibers was also investigated and gene expression (SOX2, NES, GFAP, Tuj1) was assessed through Immunochemistry and qPCR. All the samples tested were able to support neural stem cell (NSC) proliferation without significant changes on the cell's typical morphology. Successfully differentiation of NSCs towards neural cells on PBI - CSA fibers was also achieved. This promising PBI fibrous scaffold material is envisioned to be used in neural cell engineering applications, including scaffolds, in vitro models for drug screening and electrodes.
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Affiliation(s)
- Fábio F. F. Garrudo
- Center for Biotechnology and Interdisciplinary Studies, Department of Chemistry and Chemical Biology, Rensselaer Polytechnic Institute, Troy, New York, 12180-3590, United States
- Department of Bioengineering and iBB – Institute for Bioengineering and Biosciences, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, P-1049-001 Lisboa , Portugal
- The Discoveries Centre for Regenerative and Precision Medicine, Lisbon Campus, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, P-1049-001 Lisboa, Portugal
| | - Ranodhi N. Udangawa
- Center for Biotechnology and Interdisciplinary Studies, Department of Chemistry and Chemical Biology, Rensselaer Polytechnic Institute, Troy, New York, 12180-3590, United States
| | - Pauline R. Hoffman
- Center for Biotechnology and Interdisciplinary Studies, Department of Chemistry and Chemical Biology, Rensselaer Polytechnic Institute, Troy, New York, 12180-3590, United States
| | - Laura Sordini
- Department of Bioengineering and iBB – Institute for Bioengineering and Biosciences, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, P-1049-001 Lisboa , Portugal
- The Discoveries Centre for Regenerative and Precision Medicine, Lisbon Campus, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, P-1049-001 Lisboa, Portugal
- Department of Bioengineering and Instituto de Telecomunicações, Instituto Superior Técnico, Universidade de Lisboa, P-1049-001 Lisboa, Portugal
| | - Caitlyn A. Chapman
- Center for Biotechnology and Interdisciplinary Studies, Department of Chemistry and Chemical Biology, Rensselaer Polytechnic Institute, Troy, New York, 12180-3590, United States
| | - Paiyz E. Mikael
- Center for Biotechnology and Interdisciplinary Studies, Department of Chemistry and Chemical Biology, Rensselaer Polytechnic Institute, Troy, New York, 12180-3590, United States
| | - Flávio A. Ferreira
- Department of Bioengineering and iBB – Institute for Bioengineering and Biosciences, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, P-1049-001 Lisboa , Portugal
- The Discoveries Centre for Regenerative and Precision Medicine, Lisbon Campus, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, P-1049-001 Lisboa, Portugal
| | - João C. Silva
- Center for Biotechnology and Interdisciplinary Studies, Department of Chemistry and Chemical Biology, Rensselaer Polytechnic Institute, Troy, New York, 12180-3590, United States
- Department of Bioengineering and iBB – Institute for Bioengineering and Biosciences, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, P-1049-001 Lisboa , Portugal
- The Discoveries Centre for Regenerative and Precision Medicine, Lisbon Campus, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, P-1049-001 Lisboa, Portugal
| | - Carlos A. V. Rodrigues
- Department of Bioengineering and iBB – Institute for Bioengineering and Biosciences, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, P-1049-001 Lisboa , Portugal
- The Discoveries Centre for Regenerative and Precision Medicine, Lisbon Campus, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, P-1049-001 Lisboa, Portugal
| | - Joaquim M. S. Cabral
- Department of Bioengineering and iBB – Institute for Bioengineering and Biosciences, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, P-1049-001 Lisboa , Portugal
- The Discoveries Centre for Regenerative and Precision Medicine, Lisbon Campus, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, P-1049-001 Lisboa, Portugal
| | - Jorge M. F. Morgado
- Department of Bioengineering and Instituto de Telecomunicações, Instituto Superior Técnico, Universidade de Lisboa, P-1049-001 Lisboa, Portugal
| | - Frederico C. Ferreira
- Department of Bioengineering and iBB – Institute for Bioengineering and Biosciences, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, P-1049-001 Lisboa , Portugal
- The Discoveries Centre for Regenerative and Precision Medicine, Lisbon Campus, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, P-1049-001 Lisboa, Portugal
| | - Robert J. Linhardt
- Center for Biotechnology and Interdisciplinary Studies, Department of Chemistry and Chemical Biology, Rensselaer Polytechnic Institute, Troy, New York, 12180-3590, United States
- Corresponding Author:
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11
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Collins KL, Sarma D, Hakimian S, Tsai JJ, Ojemann JG. Preserved evoked conscious perception of phosphenes with direct stimulation of deafferented primary visual cortex. Epilepsy Behav Case Rep 2019; 11:84-86. [PMID: 30788215 PMCID: PMC6369119 DOI: 10.1016/j.ebcr.2018.12.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Revised: 12/03/2018] [Accepted: 12/18/2018] [Indexed: 11/26/2022]
Abstract
The premise of neuro-rehabilitation after injury is to access the residual capacity of the nervous system to improve function. We describe a patient who developed a quadrantopsia and drug-resistant focal epilepsy after an arteriovenous malformation hemorrhage. Thirty years later, he underwent placement of subdural electrodes for seizure mapping. Phosphenes were elicited in the blind right visual field with stimulation of occipital cortex. This case demonstrates that visual cortex may retain functional organization after a partial subcortical visual pathway injury. This persistent conscious mapping suggests that disconnected visual cortex could serve as a region for interfacing with neural prosthetic devices for acquired blindness. Stimulation of occipital cortex elicited phosphenes in a blind visual field. Conscious visual perception can be preserved after visual pathway injury. Disconnected visual cortex could serve to interface with neural prosthetic devices.
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Affiliation(s)
- Kelly L Collins
- Department of Neurological Surgery, University of Washington, Seattle, WA 98195, USA
| | - Devapratim Sarma
- Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA 15260, USA
| | - Shahin Hakimian
- Department of Neurology, University of Washington, Seattle, WA 98195, USA.,Harborview Regional Epilepsy Center, University of Washington, Seattle, WA 98195, USA
| | - Jeff J Tsai
- Department of Neurology, University of Washington, Seattle, WA 98195, USA.,Harborview Regional Epilepsy Center, University of Washington, Seattle, WA 98195, USA
| | - Jeffrey G Ojemann
- Department of Neurological Surgery, University of Washington, Seattle, WA 98195, USA.,Department of Radiology, University of Washington, Seattle, WA 98195, USA.,Harborview Regional Epilepsy Center, University of Washington, Seattle, WA 98195, USA.,Center for Sensorimotor Neural Engineering, University of Washington, Seattle, WA 98195, USA
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12
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Robinson JT, Pohlmeyer E, Gather MC, Kemere C, Kitching JE, Malliaras GG, Marblestone A, Shepard KL, Stieglitz T, Xie C. Developing Next-generation Brain Sensing Technologies - A Review. IEEE Sens J 2019; 19:10.1109/jsen.2019.2931159. [PMID: 32116472 PMCID: PMC7047830 DOI: 10.1109/jsen.2019.2931159] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Advances in sensing technology raise the possibility of creating neural interfaces that can more effectively restore or repair neural function and reveal fundamental properties of neural information processing. To realize the potential of these bioelectronic devices, it is necessary to understand the capabilities of emerging technologies and identify the best strategies to translate these technologies into products and therapies that will improve the lives of patients with neurological and other disorders. Here we discuss emerging technologies for sensing brain activity, anticipated challenges for translation, and perspectives for how to best transition these technologies from academic research labs to useful products for neuroscience researchers and human patients.
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Affiliation(s)
- Jacob T. Robinson
- Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA
- Department of Bioengineering, Rice University, Houston, TX 77005, USA
- Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA
| | - Eric Pohlmeyer
- John Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
| | - Malte C. Gather
- SUPA, School of Physics & Astronomy, University of St Andrews, St Andrews KY16 9SS Scotland, UK
| | - Caleb Kemere
- Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA
- Department of Bioengineering, Rice University, Houston, TX 77005, USA
| | - John E. Kitching
- Time and Frequency Division, NIST, 325 Broadway, Boulder, Colorado 80305, USA
| | - George G. Malliaras
- Electrical Engineering Division, Department of Engineering, University of Cambridge, Cambridge CB3 0FA, UK
| | - Adam Marblestone
- MIT Media Lab, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA
| | - Kenneth L. Shepard
- Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| | - Thomas Stieglitz
- Institute of Microsystem Technology, Laboratory for Biomedical Microtechnology, D-79110 Freiburg, Germany
- Cluster of Excellence BrainLinks-BrainTools, University of Freiburg, 79110 Freiburg, Germany
- Bernstein Center Freiburg, University of Freiburg, 79104 Freiburg, Germany
| | - Chong Xie
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA
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13
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Kim GB, Chen Y, Kang W, Guo J, Payne R, Li H, Wei Q, Baker J, Dong C, Zhang S, Wong PK, Rizk EB, Yan J, Yang J. The critical chemical and mechanical regulation of folic acid on neural engineering. Biomaterials 2018; 178:504-516. [PMID: 29657092 PMCID: PMC6328061 DOI: 10.1016/j.biomaterials.2018.03.059] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2018] [Revised: 03/24/2018] [Accepted: 03/31/2018] [Indexed: 12/29/2022]
Abstract
The mandate of folic acid supplementation in grained products has reduced the occurrence of neural tube defects by one third in the U.S since its introduction by the Food and Drug Administration in 1998. However, the advantages and possible mechanisms of action of using folic acid for peripheral nerve engineering and neurological diseases still remain largely elusive. Herein, folic acid is described as an inexpensive and multifunctional niche component that modulates behaviors in different cells in the nervous system. The multiple benefits of modulation include: 1) generating chemotactic responses on glial cells, 2) inducing neurotrophin release, and 3) stimulating neuronal differentiation of a PC-12 cell system. For the first time, folic acid is also shown to enhance cellular force generation and global methylation in the PC-12 cells, thereby enabling both biomechanical and biochemical pathways to regulate neuron differentiation. These findings are evaluated in vivo for clinical translation. Our results suggest that folic acid-nerve guidance conduits may offer significant benefits as a low-cost, off-the-shelf product for reaching the functional recovery seen with autografts in large sciatic nerve defects. Consequently, folic acid holds great potential as a critical and convenient therapeutic intervention for neural engineering, regenerative medicine, medical prosthetics, and drug delivery.
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Affiliation(s)
- Gloria B Kim
- Department of Biomedical Engineering, Materials Research Institute, The Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA 16802, USA
| | - Yongjie Chen
- Department of Orthopedic Surgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, PR China
| | - Weibo Kang
- Department of Orthopedic Surgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, PR China
| | - Jinshan Guo
- Department of Biomedical Engineering, Materials Research Institute, The Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA 16802, USA
| | - Russell Payne
- Department of Neurosurgery, Penn State Milton S. Hershey Medical Center, Hershey, PA 17033, USA
| | - Hui Li
- Department of Biomedical Engineering, Materials Research Institute, The Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA 16802, USA
| | - Qiong Wei
- Department of Engineering Science and Mechanics, Materials Research Institute, The Pennsylvania State University, University Park, PA 16802, USA
| | - Julianne Baker
- Department of Biomedical Engineering, Materials Research Institute, The Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA 16802, USA
| | - Cheng Dong
- Department of Biomedical Engineering, Materials Research Institute, The Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA 16802, USA
| | - Sulin Zhang
- Department of Neurosurgery, Penn State Milton S. Hershey Medical Center, Hershey, PA 17033, USA
| | - Pak Kin Wong
- Department of Biomedical Engineering, Materials Research Institute, The Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA 16802, USA
| | - Elias B Rizk
- Department of Neurosurgery, Penn State Milton S. Hershey Medical Center, Hershey, PA 17033, USA
| | - Jiazhi Yan
- Department of Orthopedic Surgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, PR China.
| | - Jian Yang
- Department of Biomedical Engineering, Materials Research Institute, The Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA 16802, USA.
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14
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Abstract
Implanted vagus nerve stimulation (VNS) for obesity was recently approved by the FDA. However, its efficacy and mechanisms of action remain unclear. Herein, we synthesize clinical and preclinical effects of VNS on feeding behavior and energy balance and discuss engineering considerations for understanding and improving the therapy. Clinical cervical VNS (≤30 Hz) to treat epilepsy or depression has produced mixed effects on weight loss as a side effect, albeit in uncontrolled, retrospective studies. Conversely, preclinical studies (cervical and subdiaphragmatic VNS) mostly report decreased food intake and either decreased weight gain or weight loss. More recent clinical studies report weight loss in response to kilohertz frequency VNS applied to the subdiaphragmatic vagi, albeit with a large placebo effect. Rather than eliciting neural activity, this therapy putatively blocks conduction in the vagus nerves. Overall, stimulation parameters lack systematic exploration, optimization, and justification based on target nerve fibers and therapeutic outcomes. The vagus nerve transduces, transmits, and integrates important neural (efferent and afferent), humoral, energetic, and inflammatory information between the gut and brain. Thus, improved understanding of the biophysics, electrophysiology, and (patho)physiology has the potential to advance VNS as an effective therapy for a wide range of diseases.
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Affiliation(s)
- Nicole A Pelot
- Department of Biomedical Engineering, Duke University, Room 1427, Fitzpatrick CIEMAS, 101 Science Drive, Campus Box 90281, Durham, NC, USA
| | - Warren M Grill
- Department of Biomedical Engineering, Duke University, Room 1427, Fitzpatrick CIEMAS, 101 Science Drive, Campus Box 90281, Durham, NC, USA; Department of Electrical and Computer Engineering, Duke University, Room 130, Hudson Hall, Campus Box 90291, Durham, NC, USA; Department of Neurobiology, Duke University, Room 101B, Bryan Research Building, 311 Research Drive, Campus Box 3209, Durham, NC, USA; Department of Neurosurgery, Duke University School of Medicine, Durham, NC, USA.
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15
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Forssell M, Ong XC, Khilwani R, Burak Ozdoganlar O, Fedder GK. Insulation of thin-film parylene-C/platinum probes in saline solution through encapsulation in multilayer ALD ceramic films. Biomed Microdevices 2018; 20:61. [PMID: 30051149 DOI: 10.1007/s10544-018-0307-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The long-term electrical leakage performance of parylene-C/platinum/parylene-C (Px/Pt/Px) interconnect in saline is evaluated using electrochemical impedance spectroscopy (EIS). Three kinds of additional ceramic encapsulation layers between the metal and Px are characterized: 50 nm-thick alumina (Al2O3), 50 nm-thick titania (TiO2), and 80 nm-thick Al2O3-TiO2 nanolaminate (NL). The Al2O3 and TiO2 encapsulation layers worsen the overall insulation properties. The NL encapsulation layer improves the insulation when combined with a TiO2 outer layer to promote adhesion to the Px. Experiments are performed with various insulation promotion treatments: A-174 silane (A174) treatment before Px deposition (to promote adhesion); SF6 plasma treatment (F) after Px deposition (to increase hydrophobicity); and ion-milling descum (IM) after Px deposition (to prevent parylene oxidation). A174 and F treatments do not have a significant impact, while IM leads to worse insulation performance. A circuit model elucidates the insulation characteristics of Px-ceramic-Pt-ceramic-Px interconnect. These studies provide a foundation for processing ultra-compliant neural probes with long-term chronic utility.
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Affiliation(s)
- Mats Forssell
- Department of Electrical and Computer Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA, 15213, USA.
| | - Xiao Chuan Ong
- Department of Electrical and Computer Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA, 15213, USA
| | - Rakesh Khilwani
- Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA
| | - O Burak Ozdoganlar
- Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Gary K Fedder
- Department of Electrical and Computer Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA, 15213, USA.,The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA
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16
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Thompson RE, Pardieck J, Smith L, Kenny P, Crawford L, Shoichet M, Sakiyama-Elbert S. Effect of hyaluronic acid hydrogels containing astrocyte-derived extracellular matrix and/or V2a interneurons on histologic outcomes following spinal cord injury. Biomaterials 2018; 162:208-223. [PMID: 29459311 PMCID: PMC5851469 DOI: 10.1016/j.biomaterials.2018.02.013] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2017] [Revised: 01/09/2018] [Accepted: 02/04/2018] [Indexed: 12/14/2022]
Abstract
One reason for the lack of regeneration, and poor clinical outcomes, following central nervous system (CNS) injury is the formation of a glial scar that inhibits new axon growth. In addition to forming the glial scar, astrocytes have been shown to be important for spontaneous SCI recovery in rodents, suggesting some astrocyte populations are pro-regenerative, while others are inhibitory following injury. In this work, the effect of implanting hyaluronic acid (HA) hydrogels containing extracellular matrix (ECM) harvested from mouse embryonic stem cell (mESC)-derived astrocytes on histologic outcomes following SCI in rats was explored. In addition, the ability of HA hydrogels with and without ECM to support the transplantation of mESC-derived V2a interneurons was tested. The incorporation of ECM harvested from protoplasmic (grey matter) astrocytes, but not ECM harvested from fibrous (white matter) astrocytes, into hydrogels was found to reduce the size of the glial scar, increase axon penetration into the lesion, and reduce macrophage/microglia staining two weeks after implantation. HA hydrogels were also found to support transplantation of V2a interneurons and the presence of these cells caused an increase in neuronal processes both within the lesion and in the 500 μm surrounding the lesion. Overall, protoplasmic mESC-derived astrocyte ECM showed potential to treat CNS injury. In addition, ECM:HA hydrogels represent a novel scaffold with beneficial effects on histologic outcomes after SCI both with and without cells.
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Affiliation(s)
- Russell E Thompson
- Department of Biomedical Engineering, University of Texas at Austin, 107 W Dean Keeton, Austin, TX 78712, USA; Department of Biomedical Engineering, Washington University in St Louis, 1 Brookings Drive, St Louis, MO 63130, USA
| | - Jennifer Pardieck
- Department of Biomedical Engineering, University of Texas at Austin, 107 W Dean Keeton, Austin, TX 78712, USA; Department of Biomedical Engineering, Washington University in St Louis, 1 Brookings Drive, St Louis, MO 63130, USA
| | - Laura Smith
- Department of Chemical Engineering & Applied Chemistry, University of Toronto, 200 College Street, Toronto, ON M5S 3E5, Canada
| | - Peter Kenny
- Department of Biomedical Engineering, University of Texas at Austin, 107 W Dean Keeton, Austin, TX 78712, USA
| | - Lindsay Crawford
- Department of Biomedical Engineering, Washington University in St Louis, 1 Brookings Drive, St Louis, MO 63130, USA
| | - Molly Shoichet
- Department of Chemical Engineering & Applied Chemistry, University of Toronto, 200 College Street, Toronto, ON M5S 3E5, Canada
| | - Shelly Sakiyama-Elbert
- Department of Biomedical Engineering, University of Texas at Austin, 107 W Dean Keeton, Austin, TX 78712, USA.
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17
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Lewis PM, Rosenfeld JV. Electrical stimulation of the brain and the development of cortical visual prostheses: An historical perspective. Brain Res 2015; 1630:208-24. [PMID: 26348986 DOI: 10.1016/j.brainres.2015.08.038] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2015] [Accepted: 08/14/2015] [Indexed: 10/23/2022]
Abstract
Rapid advances are occurring in neural engineering, bionics and the brain-computer interface. These milestones have been underpinned by staggering advances in micro-electronics, computing, and wireless technology in the last three decades. Several cortically-based visual prosthetic devices are currently being developed, but pioneering advances with early implants were achieved by Brindley followed by Dobelle in the 1960s and 1970s. We have reviewed these discoveries within the historical context of the medical uses of electricity including attempts to cure blindness, the discovery of the visual cortex, and opportunities for cortex stimulation experiments during neurosurgery. Further advances were made possible with improvements in electrode design, greater understanding of cortical electrophysiology and miniaturisation of electronic components. Human trials of a new generation of prototype cortical visual prostheses for the blind are imminent. This article is part of a Special Issue entitled Hold Item.
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Affiliation(s)
- Philip M Lewis
- Monash Vision Group, Department of Electrical and Computer Systems Engineering, Monash University, Wellington Road, Clayton, VIC 3800, Australia; Department of Neurosurgery, Level 1 Old Baker Building, Alfred Hospital, 55 Commercial Road, Melbourne, VIC 3004, Australia; Department of Surgery, Monash University Central Clinical School, Level 6 Alfred Centre, 99 Commercial Road, Melbourne, VIC 3004, Australia; Monash Institute of Medical Engineering, Monash University, Wellington Road, Clayton, VIC 3800, Australia.
| | - Jeffrey V Rosenfeld
- Monash Vision Group, Department of Electrical and Computer Systems Engineering, Monash University, Wellington Road, Clayton, VIC 3800, Australia; Department of Neurosurgery, Level 1 Old Baker Building, Alfred Hospital, 55 Commercial Road, Melbourne, VIC 3004, Australia; Department of Surgery, Monash University Central Clinical School, Level 6 Alfred Centre, 99 Commercial Road, Melbourne, VIC 3004, Australia; Monash Institute of Medical Engineering, Monash University, Wellington Road, Clayton, VIC 3800, Australia; F. Edward Hébert School of Medicine, Uniformed Services University of the Health Sciences, 4301 Jones Bridge Rd., Bethesda, MD 20814, United States.
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18
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Tapson J, van Schaik A. Learning the pseudoinverse solution to network weights. Neural Netw 2013; 45:94-100. [PMID: 23541926 DOI: 10.1016/j.neunet.2013.02.008] [Citation(s) in RCA: 66] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2012] [Revised: 12/13/2012] [Accepted: 02/25/2013] [Indexed: 11/26/2022]
Abstract
The last decade has seen the parallel emergence in computational neuroscience and machine learning of neural network structures which spread the input signal randomly to a higher dimensional space; perform a nonlinear activation; and then solve for a regression or classification output by means of a mathematical pseudoinverse operation. In the field of neuromorphic engineering, these methods are increasingly popular for synthesizing biologically plausible neural networks, but the "learning method"-computation of the pseudoinverse by singular value decomposition-is problematic both for biological plausibility and because it is not an online or an adaptive method. We present an online or incremental method of computing the pseudoinverse precisely, which we argue is biologically plausible as a learning method, and which can be made adaptable for non-stationary data streams. The method is significantly more memory-efficient than the conventional computation of pseudoinverses by singular value decomposition.
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