Implantable Thin Film Devices As Brain-Computer Interfaces: Recent Advances in Design and Fabrication Approaches
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Neural Lace" Company
5 Neuroscience Experts Weigh in on Elon Musk's Mysterious "Neural Lace" Company By Eliza Strickland (/author/strickland-eliza) Posted 12 Apr 2017 | 21:15 GMT Elon Musk has a reputation as the world’s greatest doer. He can propose crazy ambitious technological projects—like reusable rockets for Mars exploration and hyperloop tunnels for transcontinental rapid transit—and people just assume he’ll pull it off. So his latest venture, a new company called Neuralink that will reportedly build brain implants both for medical use and to give healthy people superpowers, has gotten the public excited about a coming era of consumerfriendly neurotech. Even neuroscientists who work in the field, who know full well how difficult it is to build working brain gear that passes muster with medical regulators, feel a sense of potential. “Elon Musk is a person who’s going to take risks and inject a lot of money, so it will be exciting to see what he gets up to,” says Thomas Oxley, a neural engineer who has been developing a medical brain implant since 2010 (he hopes to start its first clinical trial in 2018). Neuralink is still mysterious. An article in The Wall Street Journal (https://www.wsj.com/articles/elonmusklaunches neuralinktoconnectbrainswithcomputers1490642652) announced the company’s formation and first hires, while also spouting vague verbiage about “cranial computers” that would Image: iStockphoto serve as “a layer of artificial intelligence inside the brain.” So IEEE Spectrum asked the experts about what’s feasible in this field, and what Musk might be planning. -
Electrophysiological Phenotype Characterization of Human Ipsc-Derived Neuronal Cell Lines by Means of High-Density Microelectrode Arrays
bioRxiv preprint doi: https://doi.org/10.1101/2020.09.02.271403; this version posted September 2, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Electrophysiological Phenotype Characterization of Human iPSC-Derived Neuronal Cell Lines by Means of High-Density Microelectrode Arrays Silvia Ronchi1*, Alessio Paolo Buccino1, Gustavo Prack1, Sreedhar Saseendran Kumar1, Manuel Schröter1, Michele Fiscella1,2*† and Andreas Hierlemann1† 1Department of Biosystems Science and Engineering, ETH Zürich, Mattenstrasse 26, 4058 Basel, Switzerland 2MaxWell Biosystems AG, Albisriederstrasse 253, 8047 Zürich, Switzerland *Corresponding authors ([email protected], [email protected]) †Authors share senior authorship Keywords: induced pluripotent stem cells, high-density microelectrode arrays, electrophysiology Abstract Recent advances in the field of cellular reprogramming have opened a route to study the fundamental mechanisms underlying common neurological disorders. High-density microelectrode-arrays (HD-MEAs) provide unprecedented means to study neuronal physiology at different scales, ranging from network through single-neuron to subcellular features. In this work, we used HD-MEAs in vitro to characterize and compare human induced-pluripotent-stem-cell (iPSC)-derived dopaminergic and motor neurons, including isogenic neuronal lines modeling Parkinson’s disease and amyotrophic lateral sclerosis. We established reproducible electrophysiological network, single-cell and subcellular metrics, which were used for phenotype characterization and drug testing. Metrics such as burst shapes and axonal velocity enabled the distinction of healthy and diseased neurons. The HD-MEA metrics could also be used to detect the effects of dosing the drug retigabine to human motor neurons. -
Neural Dust: Ultrasonic Biological Interface
Neural Dust: Ultrasonic Biological Interface Dongjin (DJ) Seo Electrical Engineering and Computer Sciences University of California at Berkeley Technical Report No. UCB/EECS-2018-146 http://www2.eecs.berkeley.edu/Pubs/TechRpts/2018/EECS-2018-146.html December 1, 2018 Copyright © 2018, by the author(s). All rights reserved. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission. Neural Dust: Ultrasonic Biological Interface by Dongjin Seo A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Engineering - Electrical Engineering and Computer Sciences in the Graduate Division of the University of California, Berkeley Committee in charge: Professor Michel M. Maharbiz, Chair Professor Elad Alon Professor John Ngai Fall 2016 Neural Dust: Ultrasonic Biological Interface Copyright 2016 by Dongjin Seo 1 Abstract Neural Dust: Ultrasonic Biological Interface by Dongjin Seo Doctor of Philosophy in Engineering - Electrical Engineering and Computer Sciences University of California, Berkeley Professor Michel M. Maharbiz, Chair A seamless, high density, chronic interface to the nervous system is essential to enable clinically relevant applications such as electroceuticals or brain-machine interfaces (BMI). Currently, a major hurdle in neurotechnology is the lack of an implantable neural interface system that remains viable for a patient's lifetime due to the development of biological response near the implant. -
Perceiving Invisible Light Through a Somatosensory Cortical Prosthesis
ARTICLE Received 24 Aug 2012 | Accepted 15 Jan 2013 | Published 12 Feb 2013 DOI: 10.1038/ncomms2497 Perceiving invisible light through a somatosensory cortical prosthesis Eric E. Thomson1,2, Rafael Carra1,w & Miguel A.L. Nicolelis1,2,3,4,5 Sensory neuroprostheses show great potential for alleviating major sensory deficits. It is not known, however, whether such devices can augment the subject’s normal perceptual range. Here we show that adult rats can learn to perceive otherwise invisible infrared light through a neuroprosthesis that couples the output of a head-mounted infrared sensor to their soma- tosensory cortex (S1) via intracortical microstimulation. Rats readily learn to use this new information source, and generate active exploratory strategies to discriminate among infrared signals in their environment. S1 neurons in these infrared-perceiving rats respond to both whisker deflection and intracortical microstimulation, suggesting that the infrared repre- sentation does not displace the original tactile representation. Hence, sensory cortical prostheses, in addition to restoring normal neurological functions, may serve to expand natural perceptual capabilities in mammals. 1 Department of Neurobiology, Duke University, Box 3209, 311 Research Drive, Bryan Research, Durham, North Carolina 27710, USA. 2 Edmond and Lily Safra International Institute for Neuroscience of Natal (ELS-IINN), Natal 01257050, Brazil. 3 Department of Biomedical Engineering, Duke University, Durham, North Carolina 27710, USA. 4 Department of Psychology and Neuroscience, Duke University, Durham, North Carolina 27710, USA. 5 Center for Neuroengineering, Duke University, Durham, North Carolina 27710, USA. w Present address: University of Sao Paulo School of Medicine, Sao Paulo 01246-000, Brazil. Correspondence and requests for materials should be addressed to M.A.L.N. -
Optogenetics Controlling Neurons with Photons
Valerie C. Coffey Optogenetics Controlling Neurons with Photons An advancing field of neuroscience uses light to understand how the brain works and to create new tools to treat disease. Wireless optogenetics tools like these tiny implants in live mice are enabling scientists to map the stimulation of certain neurons of the brain to specific responses. J. Rogers/Northwestern Univ. 24 OPTICS & PHOTONICS NEWS APRIL 2018 APRIL 2018 OPTICS & PHOTONICS NEWS 25 In just over a decade, the discovery of numerous opsins with different specializations has allowed scientists and engineers to make rapid progress in mapping brain activity. wo thousand years ago, ancient Egyptians halorhodopsin can silence the neurons in the hypo- knew that the electrical shocks of torpedo thalamus, inducing sleep in living mice. fish, applied to the body, could offer pain In just over a decade, the discovery of numerous relief. Two hundred years ago, physicians opsins with different specializations has allowed scien- understood that electrical stimulation of a tists and engineers to make rapid progress in mapping Tfrog’s spine could control muscle contraction. Today, brain activity, motivated by the hope of solving intrac- electrical therapy underlies many treatments, from table neurological conditions. And it doesn’t hurt that pacemakers to pain control. investment in neuroscience research has grown at the But neuroscience has long awaited a more precise same time. tool for controlling specific types of neurons. Electrical In 2013, the Obama administration announced a stimulation (e-stim) approaches stimulate a large area collaborative public-private effort, the Brain Research without precise spatial control, and can’t distinguish through Advancing Innovative Neurotechnologies between different cell types. -
Computational Neuroscience Meets Optogenetics: Unlocking the Brain’S Secrets
Health & Medicine ︱ Prof Simon Schultz and Dr Konstantin Nikolic Computational neuroscience meets optogenetics: Unlocking the brain’s secrets Working at the interface omposed of billions of specialised responsible for perception, action Simplified models allow researchers to study how the geometry of a neuron’s “dendritic tree” affects its ability to process information. between engineering and nerve cells (called neurons) wired and memory. But this is changing. neuroscience, Professor Simon C together in complex, intricate Schultz and Dr Konstantin webs, the brain is inherently challenging LET THERE BE LIGHT Nikolic at Imperial College to study. Neurons communicate with A powerful new tool (invented by Boyden of Neurotechnology and Director of SHEDDING LIGHT ON THE BRAIN AN INSIGHT INTO NEURONAL GAIN London are developing tools each other by transmitting electrical and and Deisseroth just a little over a decade the Imperial Centre of Excellence in Their innovative approach uses Using two biophysical models of to help us understand the chemical signals along neural circuits: ago) allows researchers to map the brain’s Neurotechnology, Dr Konstantin Nikolic, sophisticated two-photon microscopy, neurons, genetically-modified to include intricate workings of the brain. signals that vary both in space and time. connections, giving unprecedented Associate Professor in the Department optogenetics and electrophysiology two distinct light-sensitive proteins Combining a revolutionary Until now, technical limitations in the access to the workings of the brain. Its of Electrical and Electronic Engineering, to measure (and disturb) patterns of (called opsins): channelrhodopsin-2 technology – optogenetics available research methods to study the impressive resolution enables precise and Dr Sarah Jarvis are taking a unique neuronal activity in vivo (in living tissue). -
Multiwell Microelectrode Array Technology for the Evaluation of Human Ipsc- Derived Neuron and Cardiomyocyte Development and Maturation
. Multiwell Microelectrode Array Technology for the Evaluation of Human iPSC- Derived Neuron and Cardiomyocyte Development and Maturation Clements, M.; Hayes, H.B.; Nicolini, A.M.; Arrowood, C.A; Clements, I.P.; Millard, D.C. Axion BioSystems, Atlanta, GA Multiwell MEA Technology MEA Assay with Neurons MEA Assay with Cardiomyocytes Why use microelectrode arrays? Neural Electrophysiology Phenotypes Cardiac Electrophysiology Phenotypes (a) (c) The flexibility and accessibility of induced pluripotent AxISTM control and analysis software provides The need for simple, reliable, and predictive pre-clinical assays for cardiac safety has motivated initiatives world-wide, stem cell (iPSC) technology has allowed complex human straightforward reporting of multiple measures on the including the Comprehensive in vitro Proarrhythmia Assay (CiPA) and Japan iPS Cardiac Safety Assessment (JiCSA). biology to be reproduced in vitro at previously maturity of the cell culture: The Maestro MEA platform enables assessment of functional in vitro cardiomyocyte activity with an easy-to-use benchtop unimaginable scales. Accurate characterization of stem system. The Maestro detects and records electrical signals from cells cultured directly onto an array of planar electrodes in each well of the MEA plate. Multiple electrodes in each well provide mechanistic electrophysiological data reflecting the cell-derived neurons and cardiomyocytes requires an • Functionality – Neurons within the population following important variables: assay to provide a functional phenotype. For these produce spontaneous action potentials. The mean electro-active cells, measurements of electrophysiological firing rate (MFR) counts action potentials over time to • Depolarization – Cardiomyocyte depolarization is detected by the amplitude of the field potential spike (AMP). activity across a networked population of cells provides a (b) quantify individual neuron functionality. -
Intraoperative Microelectrode Recordings in Substantia Nigra Pars Reticulata in Anesthetized Rats
fnins-14-00367 April 27, 2020 Time: 19:44 # 1 BRIEF RESEARCH REPORT published: 29 April 2020 doi: 10.3389/fnins.2020.00367 Intraoperative Microelectrode Recordings in Substantia Nigra Pars Reticulata in Anesthetized Rats Hanyan Li and George C. McConnell* Department of Biomedical Engineering, Stevens Institute of Technology, Hoboken, NJ, United States The Substantia Nigra pars reticulata (SNr) is a promising target for deep brain stimulation (DBS) to treat the gait and postural disturbances in Parkinson’s disease (PD). Positioning the DBS electrode within the SNr is critical for the development of preclinical models of SNr DBS to investigate underlying mechanisms. However, a complete characterization of intraoperative microelectrode recordings in the SNr to guide DBS electrode placement is lacking. In this study, we recorded extracellular single-unit activity in anesthetized rats at multiple locations in the medial SNr (mSNr), lateral SNr (lSNr), and the Ventral Tegmental Area (VTA). Immunohistochemistry and fluorescently dyed electrodes were used to map neural recordings to neuroanatomy. Neural recordings were analyzed in the time domain (i.e., firing rate, interspike interval (ISI) correlation, ISI variance, regularity, spike amplitude, signal-to-noise ratio, half-width, asymmetry, and latency) and the frequency domain (i.e., spectral power in frequency bands of interest). Spike amplitude Edited by: decreased and ISI correlation increased in the mSNr versus the lSNr. Spike amplitude, Reinhold Scherer, signal-to-noise ratio, and ISI correlation increased in the VTA versus the mSNr. ISI University of Essex, United Kingdom correlation increased in the VTA versus the lSNr. Spectral power in the VTA increased Reviewed by: versus: (1) the mSNr in the 20–30 Hz band and (2) the lSNr in the 20–40 Hz band. -
Neural Circuit and Clinical Insights from Intraoperative Recordings During Deep Brain Stimulation Surgery
brain sciences Perspective Neural Circuit and Clinical Insights from Intraoperative Recordings During Deep Brain Stimulation Surgery Anand Tekriwal 1,2,3 , Neema Moin Afshar 2, Juan Santiago-Moreno 3, Fiene Marie Kuijper 4, Drew S. Kern 1,5, Casey H. Halpern 4, Gidon Felsen 2 and John A. Thompson 1,5,* 1 Department of Neurosurgery, University of Colorado School of Medicine, Aurora, CO 80203, USA 2 Department of Physiology and Biophysics, University of Colorado School of Medicine, Aurora, CO 80203, USA 3 Medical Scientist Training Program, University of Colorado School of Medicine, Aurora, CO 80203, USA 4 Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94305, USA 5 Department of Neurology, University of Colorado School of Medicine, Aurora, CO 80203, USA * Correspondence: [email protected] Received: 28 June 2019; Accepted: 18 July 2019; Published: 20 July 2019 Abstract: Observations using invasive neural recordings from patient populations undergoing neurosurgical interventions have led to critical breakthroughs in our understanding of human neural circuit function and malfunction. The opportunity to interact with patients during neurophysiological mapping allowed for early insights in functional localization to improve surgical outcomes, but has since expanded into exploring fundamental aspects of human cognition including reward processing, language, the storage and retrieval of memory, decision-making, as well as sensory and motor processing. The increasing use of chronic neuromodulation, via deep brain stimulation, for a spectrum of neurological and psychiatric conditions has in tandem led to increased opportunity for linking theories of cognitive processing and neural circuit function. Our purpose here is to motivate the neuroscience and neurosurgical community to capitalize on the opportunities that this next decade will bring. -
Brain-Machine Interface: from Neurophysiology to Clinical
Neurophysiology of Brain-Machine Interface Rehabilitation Matija Milosevic, Osaka University - Graduate School of Engineering Science - Japan. Abstract— Long-lasting cortical re-organization or II. METHODS neuroplasticity depends on the ability to synchronize the descending (voluntary) commands and the successful execution Stimulation of muscles with FES was delivered using a of the task using a neuroprosthetic. This talk will discuss the constant current biphasic waveform with a 300μs pulse width neurophysiological mechanisms of brain-machine interface at 50 Hz frequency via surface electrodes. First, repetitive (BMI) controlled neuroprosthetics with the aim to provide transcranial magnetic stimulation (rTMS) intermittent theta implications for development of technologies for rehabilitation. burst protocol (iTBS) was used to induce cortical facilitation. iTBS protocol consists of pulses delivered intermittently at a I. INTRODUCTION frequency of 50 Hz and 5 Hz for a total of 200 seconds. Functional electrical stimulation (FES) neuroprosthetics Moreover, motor imagery protocol was used to display a can be used to applying short electric impulses over the virtual reality hand opening and closing sequence of muscles or the nerves to generate hand muscle contractions movements (hand flexion/extension) while subject’s hands and functional movements such as reaching and grasping. remained at rest and out of the visual field. Our work has shown that recruitment of muscles using FES goes beyond simple contractions, with evidence suggesting III. RESULTS re-organization of the spinal reflex networks and cortical- Our first results showed that motor imagery can affect level changes after the stimulating period [1,2]. However, a major challenge remains in achieving precise temporal corticospinal facilitation in a phase-dependent manner, i.e., synchronization of voluntary commands and activation of the hand flexor muscles during hand closing and extensor muscles [3]. -
A Microelectrode Array (MEA) Integrated with Clustering Structures for Investigating in Vitro Neurodynamics in Confined Interconnected Sub-Populations of Neurons
Published in Sensors and Actuators B 114, issue 1, 530-541, 2006 1 which should be used for any reference to this work A microelectrode array (MEA) integrated with clustering structures for investigating in vitro neurodynamics in confined interconnected sub-populations of neurons L. Berdondini a,∗, M. Chiappalone b, P.D. van der Wal a, K. Imfeld a, N.F. de Rooij a, M. Koudelka-Hep a, M. Tedesco b, S. Martinoia b, J. van Pelt d, G. Le Masson c, A. Garenne c a Sensors, Actuators and Microsystems Laboratory, Institute of Microtechnology, University of Neuchatel,ˆ Jaquet-Droz 1, 2007 Neuchatel,ˆ Switzerland b Department of Biophysical and Electronic Engineering (DIBE), University of Genova, Via Opera Pia 11a, 16145 Genova, Italy c INSERM E358, University Bordeaux 2, 146 rue Leo´ Saignat, 33077 Bordeaux Cedex, France d Netherlands Institute for Brain Research (NIBR), Meibergdreef 33, 1105 AZ Amsterdam, The Netherlands Abstract Understanding how the information is coded in large neuronal networks is one of the major challenges for neuroscience. A possible approach to investigate the information processing capabilities of the neuronal ensembles is given by the use of dissociated neuronal cultures coupled to microelectrode arrays (MEAs). Here, we describe a new strategy, based on MEAs, for studying in vitro neuronal network dynamics in interconnected sub-populations of cortical neurons. The rationale is to sub-divide the neuronal network into communicating clusters while preserving a high degree of functional connectivity within each confined sub-population, i.e. to achieve a compromise between a completely random large neuronal population and a patterned network, such as currently used with conventional MEAs. -
Deep Brain Stimulation Macroelectrodes Compared To
Deep brain stimulation macroelectrodes compared to multiple microelectrodes in rat hippocampus Sharanya Arcot Desai, Georgia Institute of Technology Claire-Anne Gutekunst, Emory University Steve Potter, Emory University Robert Gross, Emory University Journal Title: Frontiers in Neuroengineering Volume: Volume 7, Number JUN Publisher: Frontiers Media | 2014-06-12, Pages 16-16 Type of Work: Article | Final Publisher PDF Publisher DOI: 10.3389/fneng.2014.00016 Permanent URL: https://pid.emory.edu/ark:/25593/rsb7b Final published version: http://dx.doi.org/10.3389/fneng.2014.00016 Copyright information: © 2014 Arcot Desai, Gutekunst, Potter and Gross. This is an Open Access work distributed under the terms of the Creative Commons Attribution 3.0 Unported License (http://creativecommons.org/licenses/by/3.0/). Accessed September 25, 2021 7:22 PM EDT ORIGINAL RESEARCH ARTICLE published: 12 June 2014 doi: 10.3389/fneng.2014.00016 Deep brain stimulation macroelectrodes compared to multiple microelectrodes in rat hippocampus Sharanya Arcot Desai 1,2 , Claire-Anne Gutekunst 3 , Steve M. Potter 1,2 *† and Robert E. Gross 2,3 *† 1 Laboratory for Neuroengineering, Georgia Institute of Technology, Atlanta, GA, USA 2 The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA 3 Department of Neurosurgery, Emory University School of Medicine, Atlanta, GA, USA Edited by: Microelectrode arrays (wire diameter <50 μm) were compared to traditional macroelec- Laura Ballerini, University of Trieste, trodes for deep brain stimulation (DBS). Understanding the neuronal activation volume may Italy help solve some of the mysteries associated with DBS, e.g., its mechanisms of action. We Reviewed by: used c-fos immunohistochemistry to investigate neuronal activation in the rat hippocampus Luca Berdondini, Italian Institute of Technology, Italy caused by multi-micro- and macroelectrode stimulation.