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The use of neural prosthetics to replace motor, sensory, or cognitive functions lost by disease or injury holds great therapeutic promise. However, neural prosthetics have not yet been widely used in humans. This meeting will highlight the most cutting-edge developments in the field of neural prosthetics and a will include a careful review of the current obstacles to using neural prosthetics therapeutically, as well as the related ethical and regulatory issues. The conference agenda will address the following issues; 1) presentation of the most recent advances in basic neurobiological research to inform development of neural prosthetics, 2) an overview of cutting-edge discoveries in bioengineering and materials that will allow for the development of neural prosthetic devices that function effectively within the human body, 3) discussion of how to improve upon the clinical trial results on neural prosthetics, 4) the unique regulatory and ethical problems that are associated with using neural prosthetics in people, and 5) how to use neural prosthetics to treat disorders including not only neurodegenerative diseases and paralysis, but also depression and epilepsy.
Presented by
Agenda
* Presentation times are subject to change.
Thursday, September 23, 2010
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5:30 pm
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Registration and Welcome Reception
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6:30 pm
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Welcome Remarks Sonya Dougal, PhD The New York Academy of Sciences Andrew Schwartz, PhD University of Pittsburgh
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6:45 pm
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Keynote Address Neuroprosthetics and Neuromarkers: Two Sides of The Same Coin Apostolos Georgopoulos, MD, PhD, University of Minnesota Medical School
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Friday, September 24, 2010
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8:15 am
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Registration & Breakfast
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SESSION I: Basic Research with Strong Potential for Translation (Moderated by Krishna V. Shenoy, PhD Stanford University)
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9:15 am
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Cognitive Neural Prosthetics Richard Andersen, PhD, California Institute of Technology
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9:30 am
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A Neural Interface for Dexterity Andrew Schwartz, PhD, University of Pittsburgh
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9:45 am
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Applications of Recurrent Brain–Computer Interfaces Eberhard E. Fetz, PhD, University of Washington
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10:00 am
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Factors Affecting Cursor Control by Small Ensembles of Motor Cortex Neurons Marc H. Schieber, MD, PhD, University of Rochester School of Medicine and Dentistry
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10:15 am
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Brain Flexibility in Neuroprosthetics Dawn Taylor, PhD, Cleveland Clinic
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10:30 am
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Coffee Break
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11:15 am
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Panel Discussion: Translating Basic Research into Effective BCI (Moderated by Robert J. Greenberg, MD, PhD Second Sight Medical Products, Inc.)
Niels Birbaumer, PhD, University of Tübingen Joseph J. Fins, MD, Weill Cornell Medical College Eric C. Leuthardt, MD, Washington University School of Medicine Col. Geoffrey Ling, MD, PhD, DARPA
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12:15 pm
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Lunch
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SESSION II: New Developments in Bioengineering and Materials (Moderated by Richard Andersen, PhD California Institute of Technology)
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1:30 pm
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Toward High-Performance Cortically-Controlled Prostheses Krishna V. Shenoy, PhD, Stanford University
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1:45 pm
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An Anatomical Prosthetic Hand for Understanding Neural Control Yoky Matsuoka, PhD, University of Washington
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2:00 pm
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Controlling Brain Circuits with Light Edward S. Boyden III, PhD, Massachusetts Institute of Technology
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2:15 pm
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Advanced Implantable Microelectrode Technologies for High-Fidelity, Multi-Modal Neural Interfaces Daryl Kipke, PhD, University of Michigan
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2:30 pm
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Lessons from Chronic Histological Studies Patrick Tresco, PhD, University of Utah
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2:45 pm
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Coffee Break
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SESSION III: EcoG, EEG, and Less Invasive Approaches (Moderated by Niels Birbaumer, PhD University of Tübingen)
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3:30 pm
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Brain Computer Interfaces: Theory vs. Reality Jonathan R. Wolpaw, PhD, Wadsworth Center, NY State Department of Health
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3:45 pm
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Electrocorticographic Brain Computer Interfaces Daniel Moran, PhD, Washington University
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4:00 pm
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Panel Discussion: How to Engineer an Effective Neural Interface? Pros and Cons of Current Devices and Materials (Moderated by Daryl Kipke, University of Michigan) Edward Boyden III, PhD, Massachusetts Institute of Technology Timothy J. Denison, PhD, Medtronic Neuromodulation Dan Moran, PhD, Washington University Patrick Tresco, PhD, University of Utah
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Saturday, September 25, 2010
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8:15 am
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Registration & Breakfast
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SESSION IV: Clinical Trials of Neural Prosthetics (Moderated by Col. Geoffrey Ling, MD, PhD, DARPA)
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9:00 am
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Research in Human Electrocorticography and Neuroprosthetic Implications Eric C. Leuthardt, MD, Washington University School of Medicind
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9:15 am
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Clinical Trials of Intracortically-Based Neural Interfaces Leigh R. Hochberg, MD, PhD, Harvard Medical School, Massachusetts General Hospital, Brown University, and Providence VA Medical Center
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9:30 am
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Interfacing Brain to Machine for Restoration and Enhancement of Human Functionality Philip Kennedy, MD, PhD, Neural Signals, Inc.
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9:45 am
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Clinical Translation of a Motor System Neuroprosthesis P. Hunter Peckham, PhD, Case Western Reserve University
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10:00 am
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Brain–Computer Interfaces in Paralysis: Applications in Locked-In Syndrome, Chronic Stroke and Emotional Disorders Niels Birbaumer, PhD, University of Tübingen
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10:15 am
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Coffee Break
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SESSION V: Translating Neural Prosthetic Devices to the Clinic (Moderated by P. Hunter Peckham PhD, Case Western Reserve University)
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11:00 am
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A Better Way to Read From the Brain Philip Low, PhD, Neurovigil
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11:15 am
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Targets for Neural Prosthetic Interventions in Spinal Cord Injury Jacqueline C. Bresnahan, PhD, University of California, San Francisco
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The Argus II — A 60 Electrode Neural Interface Robert J. Greenberg, MD, PhD, Second Sight Medical Products, Inc.
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11:45 am
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Revolutionizing Prosthetics COL Geoffrey Ling, MD, PhD, DARPA
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12:00 pm
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Reflections on Architecting Practical Interfaces to the Nervous System Timothy J. Denison, PhD, Medtronic Neuromodulation
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12:15 am
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Can Neural Prosthetics Be Used to Treat Neurodegenerative Disease? Howard Fillit, MD, Alzheimer's Drug Discovery Foundation
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12:30 pm
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Lunch
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2:45 pm
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Presentation of the Aspen Brain Forum Prize in Neurotechnology Glenda Greenwald Aspen Brain Forum Foundation P. Hunter Peckham, PhD Case Western Reserve University
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SESSION VI: Promising New Applications of Neural Prosthetics (Moderated by Eric C. Leuthardt, MD, Washington University School of Medicine)
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3:30 pm
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The Development of Deep Brain Stimulation for Treatment Resistant Depression Helen Mayberg, MD, Emory University
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3:45 pm
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Brain Stimulation for Epilepsy Robert Fisher, MD, PhD, Stanford University EMedical Center
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SESSION VII: Ethical and Regulatory Issues (Moderated by Helen Mayberg, MD, Emory University)
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4:00 pm
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Overview of FDA Medical Device Regulation Kristen A. Bowsher, PhD, US Food & Drug Administration
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4:15 pm
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Cyborgs, Superminds and Silliness: What Are the Real Ethical Challenges in Neural Prosthesis Research? Martha J. Farah, PhD, University of Pennsylvania
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4:30 pm
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When Ethics Become Prosthetic: Bringing Context to the Neural Interface Joseph J. Fins, MD, Weill Cornell Medical College
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4:45 pm
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Closing Remarks Ellis Rubinstein The New York Academy of Sciences Richard Andersen, PhD California Institute of Technology
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5:15 pm
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Meeting Adjourns
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Speakers
Organizers
California Institute of Technology
P. Hunter Peckham, PhD
Case Western Reserve University
Andrew Schwartz, PhD
University of Pittsburgh
Keynote Speaker
Apostolos Georgopoulos MD, PhD
University of Minnesota
Speakers
University of Tübingen
Kristen A. Bowsher, PhD
US Food & Drug Administration
Massachusetts Institute of Technology
Jacqueline C. Bresnahan, PhD
University of California, San Francisco
Timothy J. Denison, PhD
Medtronic Neuromodulation
University of Pennsylvania
University of Washington
Alzheimer's Drug Discovery Foundation
Weill Cornell Medical Center
Stanford University Medical Center
Second Sight Medical Products, Inc.
Harvard Medical School, Massachusetts General Hospital, Brown University, Providence VA Medical Center
Neural Signals, Inc.
University of Michigan
Washington University School of Medicine
DARPA
NeuroVigil, Inc.
University of Washington
Emory University School of Medicine
Washington University
University of Rochester School of Medicine and Dentistry
Stanford University
Dawn M. Taylor, PhD
Cleveland Clinic
Patrick Tresco, PhD
University of Utah
Wadsworth Center, New York State Department of Health
Day 2: Friday, September 24, 2010
Session I: Basic Research with Strong Potential for Translation
Cognitive Neural Prosthetics
Richard Andersen, PhD California Institute of Technology, Pasadena, CA
We are developing a neural prosthetic to assist paralyzed patients and patients with lost limbs by using their neural activity to control assistive devices such as computers, robotic limbs, and vehicles. Most efforts in this field have focused on recording neural activity close to the motor output. Our lab has taken a different approach which is to record from higher cognitive areas that form the initial intentions of the subjects. Using this approach in healthy animals we can decode the goals and trajectories of desired movements in space, the subjective evaluations and expectations that form the basis of decision making, and arbitrary visual-motor mapping. Current efforts include transitioning to clinical trials in humans.
A Neural Interface for Dexterity
Andrew B. Schwartz, PhD University of Pittsburgh, Pittsburgh, PA
The emphasis on neural populations as the substrate for information processing is the most important recent advance in systems neuroscience. The change in emphasis from the single neuron to the neural ensemble has made it possible to extract high-fidelity information about movements that will occur in the near future. This ability is due to the distributed nature of information processing in the brain. Neurons encode many parameters simultaneously, but the fidelity of encoding at the level of individual neurons is weak. Because encoding is redundant— parameter representation in individual neurons is weak but consistent across the population-- extraction methods based on multiple neurons are capable of generating a faithful representation of intended movement. The realization that useful information is embedded in the population has spawned the current success of brain-controlled interfaces. Since multiple movement parameters are encoded simultaneously in the same population of neurons, we have been gradually increasing the degrees of freedom (DOF) that a subject can control through the interface. Our early work showed that 3-dimensions could be controlled in a virtual reality task. We then demonstrated control of an anthropomorphic physical device with 4 DOF in a self-feeding task. Currently, monkeys in our laboratory are using this interface to control a 7-DOF arm, wrist and hand to grasp objects in different locations and orientations. Our recent data show that we can extract 11-DOF to add hand shape and dexterity to our control set.
Applications of Recurrent Brain-Computer Interfaces
Eberhard Fetz, PhD1, Andrew Jackson, PhD2, Chet Moritz, PhD1, Yukio Nishimura, PhD1,3 Timothy Lucas, MD, PhD1, and Steve Perlmutter, PhD1
1 University of Washington, Seattle, WA 2 Newcastle University, Newcastle-upon-Tyne, United Kingdom 3 PRESTO, Japan Science and Technology Agency, Tokyo, Japan
We are investigating the consequences of bidirectional connections produced by an autonomous recurrent brain-computer interface [R-BCI] that operates continuously during free behavior and generates activity-dependent stimulation of the brain or muscles. This so-called “Neurochip” consists of battery-powered electronics connected to electrodes that record the activity of motor cortex cells and/or muscles. The neural activity is processed by a programmable computer chip and can be converted in real-time to activity-contingent electrical stimuli delivered to nervous system sites or muscles (Mavoori et al, J. Neurosci. Meth. 148: 71, 2005). A promising application is to bridge impaired biological connections, as demonstrated for cortically controlled electrical stimulation of paralyzed forearm muscles. A recent study (Moritz et al, Nature 456: 639 – 642, 2008) showed that learning volitional control of neural activity that directly activates muscles is a promising alternative to the traditional decoding of neural populations for BCI control. A second application of the R-BCI is to produce Hebbian synaptic plasticity through spike-triggered stimulation, which can strengthen physiological connections (Jackson et al, Nature, 444: 56-60, 2006). Recent work has shown that similar plastic changes can be produced by EMG-triggered cortical stimulation and in the strength of corticospinal connections by cortically triggered intraspinal stimulation. The novel R-BCI paradigm has numerous potential applications, depending on the input signals, the computed transform and the output targets.
Support: NIH, Christopher and Dana Reeve Foundation, LSDF, ITHS, AHA, JST.
Factors Affecting Cursor Control by Small Ensembles of Motor Cortex Neurons
Marc H. Schieber, MD, PhD2,3 and Andrew Law1,2 1Department of Biomedical Engineering, University of Rochester, Rochester, NY 2Department of Neurobiology and Anatomy, University of Rochester, Rochester, NY 3Department of Neurology, University of Rochester, Rochester, NY
Recent studies of closed-loop control have shown that many primary motor cortex (M1) neurons rapidly alter their movement-related tuning as a normal subject learns to control a brain-computer interface (BCI). While many M1 neurons are known to be dissociable from muscle activity in experimental paradigms that dissociate a) visual targets from movement, b) kinematics from kinetics, or even c) neuron from muscle activity, little is known about which M1 neurons are most adaptable for control of a closed-loop BCI. We therefore are extending earlier studies of direct operant conditioning of single-neuron activity to identify factors that affect the ability of small ensembles of M1 neurons to control a closed-loop BCI. In a single session, the firing rates of 1 to 4 arbitrarily selected M1 neurons are combined in a linear transfer function that determines the one-dimensional motion of a cursor, and the non-human primate subject then uses the cursor to acquire targets of gradually diminishing size. Factors under study include: i) the physical distance between neurons, ii) the similarity of the neurons’ preferred directions during a center-out paradigm performed with the native limb, iii) the neurons’ discharge correlation during center-out performance, iv) the phasic versus tonic nature of the neurons’ discharge, and v) whether the neurons are fast- or regular-spiking.
Brain Flexibility In Neuroprosthetics
Dawn Taylor, PhD1,2,3, Amar Marathe, MS1,2,3, Stephen Foldes, MS2,3 and Harrison Kalodimos1,2,3 1The Cleveland Clinic Dept. of Neurosciences, Cleveland, OH 2Cleveland FES Center of Excellence, Cleveland VA Medical Center, OH 3Case Western Reserve University Dept. of Biomedical Engineering, Cleveland, OH
People commonly use one movement of the body to generate a different movement in a device or tool. For example, we adjust the position of a joystick to control the velocity of an object in a video game. We control the speed of our cars by adjusting the position of our foot over the range of the gas pedal. Our natural ability to make transformations during tool use suggests we may be able to take advantage of analogous transformations in brain-controlled devices. A wide range of movement-related signals can be decoded from the brain (e.g. velocity, position, reach goal, joint angles, muscle-activation levels). How do we make use of the best motor-related signals to control the device actions we want to control? Our lab is exploring the range of brain-to-device transformations people can learn to make, and how inaccuracies in decoding the intended movements can impact device control under different kinds of transformations. In many cases, neuroprosthetic control can be significantly improved by decoding one aspect of movement and applying it to the control of a different motor action. Visual feedback from the device enables individuals to learn new transformations through practice. Once a person learns to control a device, visual feedback continues to be used to correct for trajectory deviations in real time. However, while we easily learn many new motor transformations, we appear less able to learn certain error correction strategies necessary for adapting to the types of errors generated by
SESSION II: New Developments in Bioengineering and Materials
Toward High-Performance Cortically-Controlled Continuous Prostheses
Krishna V. Shenoy, PhD1, Vikash Gilja, PhD1, Paul Nuyujukian1, Cindy A. Chestek, PhD1, John P. Cunningham, PhD1,2, Byron M. Yu, PhD1,3,4, Joline Fan1 and Stephen I. Ryu, MD1,5 1Stanford University, Stanford, CA 2Cambridge University, Cambridge, UK 3University College London, London, UK 4Carnegie Mellon University, Pittsburgh, PA 5Palo Alto Medical Foundation, Palo Alto, CA
In recent years, cortically-controlled prostheses – which translate action potentials from neurons in the motor cortices into control signals for guiding computer cursors and robotic arms – have demonstrated considerable potential through a series of proof-of-concept laboratory animal experiments as well as an initial human clinical trial. While encouraging, several potential barriers remain which, if left unaddressed, may hamper the translation of these systems into widespread clinical use. First, an array of electrodes implanted in cortex (of rhesus monkeys, or humans) typically provides action potentials from highly-distinguishable single neurons for just a year or two, and even while working well the recorded signals grow and shrink on both slow (e.g., diurnal cycle) and fast (e.g., head movement) timescales. Second, the speed and accuracy of cortically-controlled computer cursor and robotic arm movements is much slower and less accurate than that of the natural arm. Third, the performance of cortically-controlled prosthetic devices has yet to achieve a level of robustness – the capability of running for hours straight, working seamlessly across days, and working across multiple behavioral contexts without human technical intervention – necessary for widespread clinical use. To address these three potential barriers, we conducted experiments with two rhesus monkeys with a 96-electrode array implanted in PMd/M1 and found that (1) threshold crossing detection provides high signal quality for many years, and with low fluctuation, (2) a continuous-decode algorithm redesigned (using a feedback control perspective) can provide cortical-cursor control on par with typical computer-mouse control, and (3) multi-hour, multi-day, and multi-context operation is readily possible.
An Anatomical Prosthetic Hand for Understanding Neural Control
Yoky Matsuoka, PhD University of Washington
The Anatomically Correct Testbed (ACT) Robotic Hand was built as a tool to simulate dexterous physical world interaction based on direct or simulated neural signals. In return, the behavior expressed by the ACT hand uncovers mechanisms and neural control salient features in human hands that allow robust, versatile, and dexterous movements as well as rich object/world exploration. This talk describes this unique tool as well as things we learned so far, things we are learning now, and ways other researchers can contribute to future discoveries with the ACT hand.
Controlling Brain Circuits with Light
Ed Boyden, PhD MIT Media Lab, Brain and Cog. Sci., Biological Engineering, and McGovern Institute, MIT, Cambridge, MA
The ability to enter information precisely into specific cell types and pathways within the brain would support the creation of neural prosthetics of potentially great power and flexibility. Over the last several years our group has developed a suite of genetically-encoded reagents that, when expressed in specific neurons in the brain, enable them to be activated or silenced in response to differently-colored pulses of light. These ‘optogenetic’ reagents are in use by hundreds of groups around the world, and we have demonstrated the safe and effective use of these reagents in the mammalian brain for controlling neural circuit dynamics downstream of given cell types. In order to enable these tools to be used for the systematic engineering of neural computations, behaviors, and candidate treatments for brain disorders, we have developed hardware to enable neural circuits to be perturbed in a three-dimensional fashion, and for measuring the brainwide neural dynamics impact of perturbing a specific cell class embedded within a neural circuit. We explore how these tools can be used to precisely alter the dynamics of neural circuits that mediate emotion, sensation, and movement, thus revealing principles that could be useful in the treatment of neurological and psychiatric disorders, and potentially in human augmentation.
Advanced Implantable Microelectrode Technologies for High-Fidelity, Multi-Modal Neural Interfaces
Daryl Kipke, PhD University of Michigan
Technological advances in implantable neural interfaces are providing increasingly more powerful ‘toolkits’ of designs, materials, components, and integrated devices for establishing high-fidelity chronic neural interfaces for recording, stimulation, neurochemical sensing, and targeted drug delivery. Beyond progressive improvements in MEMS-based neural probe technologies, our group is developing new types of implantable microelectrodes using advanced nanostructured materials to obtain high-quality chronic neural recordings using structures that have a significantly reduced footprint compared to conventional microelectrode arrays. We are also developing site-selective, thin-film electrode coatings to make multi-modal microelectrode arrays for concurrent neural recording and neurochemical sensing at the microscale with high temporal resolution. These advanced technologies are extending the capabilities for precise, reliable, and high-fidelity neural interfacing in the brain. This research is supported by the U.S. National Institutes for Health and DARPA.
Session III: EcoG, EEG, and Less Invasive Approaches
Brain-Computer Interfaces: Theory vs. Reality
Jonathan R. Wolpaw, MD Wadsworth Center, New York State Department of Health, Albany, NY
Brain-computer interfaces (BCIs) may provide valuable new communication and control options for people with severe motor disabilities. Much BCI research has been based on four assumptions: (1) that intended actions are fully represented in the cerebral cortex; (2) that neuronal action potentials provide the best picture of them; (3) that, therefore, the best BCI is one that records action potentials and decodes them; and (4) that continuing mutual adaptation by the BCI user and the BCI system is not important. It is increasingly clear that none of these assumptions is defensible. Intended actions are the products of many areas, from the cortex to the spinal cord, and the contributions of the different areas change continually as the CNS adapts to improve performance. BCIs need to track and guide these adaptations if they are to achieve and maintain good performance. Furthermore, it is not yet clear which categories of brain signals will prove most effective for which BCI applications. In human studies to date, low-resolution EEGbased BCIs and high-resolution cortical neuron-based BCIs perform similarly. In sum, BCIs allow their users to develop new skills in which the users achieve their intentions through brain signals rather than muscles. Thus, the primary task in BCI development is to determine which brain signals users can best control, to maximize that control, and to translate it accurately and reliably into actions that accomplish the users’ intentions. The most difficult aspect of this task is probably not the realization of many degrees of freedom, but rather the achievement of highly reliable performance. Much better reliability is essential if BCIs are to advance from laboratory demonstrations to systems of significant practical value in daily life.
Electrocorticographic Brain Computer Interfaces
Daniel Moran, PhD Washington University, St. Louis, MO
Brain computer interface (BCI) technology has classically focused on two signal acquisition modalities for control: multi, single-unit activity (MSU) and electroencephalography (EEG). While MSU activity provides arguably the best multi-dimensional signal for BCI control, obtaining long-term stability of single unit recordings has proven difficult due to glial encapsulation issues. EEG, on the other hand, is a non-invasive technique where relatively large electrodes are placed on the surface of the scalp to record ensemble activity emanating from the underlying cortex. Given the large separation between the cortical surface and the recording electrodes as well as the inhomogeneous conductivity of the dura, skull, and skin; a rather large area of cortex needs to be synchronously active to be “electrically visible” on the scalp (~6 cm^2). Training such large cortical networks for BCI control of a few degrees-of-freedom can take month(s) to learn. On the other hand, electrocorticography taken from the surface of the brain (ECoG) are typically generated from much smaller neural ensembles (1-2 mm^2). Our recent results in non-human primates shows that epidural ECoG spectral power in the 60-200 Hz range is well correlated with ensemble single unit activity. Over a period of one week, the subjects learned to accurately control a 2D computer cursor through neural adaptation of microECoG signals over “cortical control columns” having diameters on a the order of a few mm. These results suggest that the mildly-invasive epidural microECoG is a pragmatic and possibly optimal modality for controlling neuroprosthetic devices.
**Additional abstracts coming soon.
Day 3: Saturday, September 25, 2010
Session IV: Clinical Trials of Neural Prosthetics
Research in Human Electrocorticography and Neuroprosthetic Implications
E.C Leuthardt 1,2
1Department of Biomedical Engineering, Washington University in St. Louis, St Louis, MO 2Department of Neurological Surgery, Washington University in St. Louis, St Louis, MO
High frequency oscillations, known as gamma rhythms, have become an important indicator of focal, event-related cortical activity. This has also become an important signal used for ECoG derived brain computer interface (BCI) control To date, the majority of studies have treated amplitude changes in frequencies above 30 Hz as a uniform phenomenon. We hypothesize that gamma rhythms are heterogeneous. In several studies we have defined the effect that cognitive task and anatomic location have on gamma changes in human cortex. Using simple speech and motor tasks in humans, we show that high frequency electrocorticographic (ECoG) signals (30-530Hz) have distinctly non-uniform behavior. For a given cortical task, there were power changes in distinct frequency bands for each cognitive task performed. Additionally, for the same cognitive task, there were also power changes in separable frequency bands that distinguished the cortical region. These task and anatomy dependent power changes were present at single cortical sites and across multiple sites within individual subjects. Moreover, when these task and location dependent frequency specific phenomena were assessed across all the subjects, there were trends that were consistent across the population. Taken together, the independence and non-uniformity with which power changes occur in narrow bands throughout the 30-530Hz range suggest that a new approach is necessary to evaluate cortical activity. In addition to time and location, these findings show that frequency is another fundamental dimension of cortical activation and feature space for BCI operation.
Clinical Trials Of An Intracortical Neural Interface System
Leigh R. Hochberg, M.D., PhD1,2,3 and John P. Donoghue, Ph.D.1,4 1Rehabilitation Research & Development Service, Providence VA Medical Center, Providence, RI 2Stroke and Neurocritical Care Services, Massachusetts General, Brigham and Women’s, and Spaulding Rehabilitation Hospitals, Harvard Medical School, Boston, MA 3Engineering and 4Neuroscience, Institute for Brain Science, Brown University, Providence, RI
For people with cervical spinal cord injury, pontine stroke, amyotrophic lateral sclerosis and other neurologic illnesses, currently available assistive and rehabilitation technologies are inadequate. In severe brainstem stroke and advanced ALS, patients may suddenly or progressively enter a locked-in state of being awake and alert but unable to move or communicate. Through clinical translation based on decades of fundamental neuroscience research, intracortically-based “brain-computer interfaces” are poised to revolutionize our ability to restore lost function. Over the past decade, neurotechnologies to record the individual and simultaneous activities (action potentials, multi-unit activity, and local field potentials) of dozens to hundreds of cortical neurons have yielded new understandings of cortical function in movement, vision, cognition, and memory. This preclinical research, generally performed with healthy, neurologically intact non-human primates, has demonstrated that direct neural control of virtual and physical devices can be achieved. Recently, this exciting research has been translated into initial pilot clinical trials (IDE) of an intracortically-based neural interface system (BrainGate), seeking to determine the feasibility of persons with tetraplegia controlling a computer cursor or other devices simply by imagining movement of their own hand. A variety of methods for decoding brain signals are now being tested with the hope of not only restoring communication, but also providing a control signal for the reanimation of paralyzed limbs. In related research, it is hoped that this first glimpse into the activities of dozens of individual cortical neurons in humans might provide new diagnostic and therapeutic modalities for our patients with epilepsy.
Interfacing Brain To Machine For Restoration And Enhancement Of Human Functionality
Philip R. Kennedy, MD, PhD Neural Signals Inc., Duluth, GA
Brain implants for communication purposes can achieve two main goals: neural prosthetics and brainenhancement. Successful requires a stable connection between brain and machine for the lifetime of the recipient of the brain implant. One solution to forming a stable connection between brain and machine is to grow neuropil into the electrode, rather than poking a sharp electrode tine into the neuropil. The Neurotrophic Electrode (NE) has been shown to provide a stable signal over many years. In our efforts to develop a speech prosthetic, the NE has recorded useful signals five years after implantation. This electrode consists of a hollow glass cone in which Teflon insulated gold wires are fixed, with neurites being enticed into the tip using trophic factors. The trapped neurites become myelinated over a few weeks and the wires record action potentials travelling along these myelinated neurites. The neural signals thus recorded have most recently been used to produce vowel phonemes with 80% accuracy in a locked-in subject.After successful development of neural prosthetics, these technologies will likely become consumer devices that enhance brain function. These devices will operate like a cell phone, enhance memory and perform higher order calculations. These applications will be primarily restricted in their development by our lack of understanding of which brain pathways will provide access and process such large loads of information. Hence, basic neuroscience is a key to the development of these devices.
P. Hunter Peckham, PhD Case Western Reserve University and Veterans Administration Medical Center
Clinical Translation of a Motor System Neuroprosthesis
Major advances have been made over the past decade in use of neuroprostheses for restoration of motor function. These advances have been built on the fundamental science of neural excitation and the technologies for implantable stimulation and control. The technologies have advanced to provide operational systems that function in the human body for decades, and include implantable electrodes, stimulation devices, and sensors. The neural interface between the excitable tissue and the delivery electrode are enabling evermore powerful control and precision in the delivery of stimulation, not only providing for excitation but also blocking of neural activity (e.g. for annihilation of pain or spasticity) and selective stimulation. Distributed implantable systems and brain control interfaces are currently in development that will provide greater flexibility in implementation and performance.
The clinical manifestations of these findings are the available systems that have been created, and are being developed, to restore function. These include many areas of the body for people with spinal cord injury, including hand grasp, standing and walking, breathing, and bladder and bowel control. Several patients have benefited from systems that enable more than one function (e.g. hand function and bladder control). The presentation will provide examples of both upper and lower extremity neuroprostheses to restore full arm mobility and levels of standing and ambulation. Several areas where future advances are likely to meet clinical challenges will be discussed.
Brain-Computer-Interfaces In Paralysis: Applications In Locked-In Syndrome, Chronic Stroke And Emotional Disorders
Niels Birbaumer, PhD University of Tuebingen, Institute of Medical Psychology and Behavioral Neurobiology, Germany
Little is known about efficacy of invasive and non-invasive BCIs in clinical populations. Large controlled clinical trials do not exist. About 50 cases of patients with amyotrophic lateral sclerosis -- most from our laboratory -- at different stages of their disease including locked-in patients using EEG-BCI for verbal communication were documented in the literature. The data demonstrate successful, albeit slow communication up to and in the locked-in-state. BCI-use in the completely locked-in was difficult to show: first data using classical EEG-conditioning in this population are presented as a solution to the problems of the completely locked-in. Motor restoration of chronic stroke using MEG- and EEG-BCI in proof of principle studies showed promising results in the laboratory but lack of generalization to the home environment. Finally, a series of experiments with healthy participants, chronic schizophrenics, criminal psychopaths and drug addicts with surprisingly fast voluntary control of BOLD in different cortical and subcortical brain areas and strong specific effects on behavior.
Supported by the DFG (Deutsche Forschungsgemeinschaft), BMBF (Bundesministerium für Bildung und Forschung), Bernstein Center on Computational Neuroscience, European Research Council (ERC)
Session V: Translating Neural Prosthetic Devices to the Clinic
A Better Way To Read From The Brain
Philip Low, PhD1,2,3,4 1NeuroVigil, Inc, La Jolla, CA 2Stanford University School of Medicine, Stanford, CA 3MIT Media Lab, Cambridge, MA 4Crick-Jacobs Center, Salk Institute for Biological Studies, La Jolla, CA High-resolution brain scanning is currently limited to a laboratory environment, and tends to rely on methods which are costly, stressful and impair normal functioning. Here we present alternative methods which pair advanced single-channel EEG analysis, including SPEARS, to create dynamic maps of brain activity (Low Thesis, 2007) with non-invasive single-channel recording devices, including an affordable single-channel home-based brain recording device (iBrain). We present non-invasively collected biomarkers in both humans and animals and discuss the implementation of these techniques to obtain additional information on pre-market drugs in clinical trials.
Spinal Cord Injury is a Multifaceted Problem
Jacqueline C. Bresnahan, PhD University of California, San Francisco
Spinal cord injury induces a wide variety of changes in a number of body systems. The most obvious change is loss of locomotor control and this is the function that receives the most attention. However, spinal cord injury interrupts signals from the spinal cord to the brain encoding sensory information from both somatic structures and autonomic structures. Similarly, loss of descending input to the spinal cord affects somatic and autonomic motor function. In addition, direct damage to the spinal cord circuits in the gray matter at the lesion site will affect local processing of afferent, integrative and efferent signals as well as short and long relays. Thus, the SCI syndrome encompasses a wide variety of functional loss including somatic motor, sensory (tactile, proprioceptive, temperature, pain), autonomic (respiratory, cardiovascular, gastrointestinal, eliminative, and sexual) functions and their interactions.
People with SCI when asked what functions they were most interested in having return to normal to improve the quality of their lives (Anderson, 2004), chose sexual function followed by bladder and bowel function if paraplegic, and hand function followed by bladder a bowel function if quadruplegic. Respiratory function if a high quad, and chronic pain was also a significant problem for a large subset of spinal cord injured people. Thus, multiple opportunities exist for neural prosthetic approaches to improving function beyond locomotion after spinal cord injury. We hope that turning attention to these understudied issues will yield enhanced recovery and improvement in the quality of life for the nearly 1.275 million people surviving this devastating injury.
The Argus Ii – A 60 Electrode Neural Interface
Robert J. Greenberg MD, PhD Second Sight Medical Products, Inc., Sylmar, CA
Methods: All subjects were implanted with a Second Sight™ Medical Products, Inc. Argus® II implant and had bare light perception or worse due to retinitis pigmentosa (clinicaltrials.gov NCT00407602). Visual function was evaluated by grating visual acuity, assessing the ability to determine the direction of motion of a line and the location of a square on an LCD screen, letter reading and orientation and mobility tests. Results: 32 subjects have been implanted at 11 centers and all use the system at home. In the O&M tests, subjects were able to successfully navigate to the door and to the end of the line more often with the System ON vs. OFF. At the most recent follow-up visits, 96% (26/27) of subjects show a significant improvement in accuracy and 93% (25/27) show a significant improvement in repeatability with the system on compared with off (p<0.05, Student’s t-test) in the square localization test, and 58% (14/24) perform Direction of Motion tests better with the System ON vs. OFF. 40% of subjects in the most recent Argus II cohort (6/15) have statistically measurable grating visual acuity better than 2.9 logMAR (Snellen 20/15900) with System ON in their implanted eye and the best subject measured 1.8 logMAR (20/1260). Subjects were able to correctly identify letters in a closed set 73% of the time with the System ON vs. 17% with the System OFF (n=22 subjects). Conclusions: With up to 3.2 years follow-up on 32 subjects, this is the largest and longest study of a visual prosthesis to date and CE Mark is expected this year. The results confirm previous reports on the ability of the Argus prosthesis to provide visual function over the long-term. This is further validation for the Argus platform’s high reliability.
Reflections On Architecting Practical Interfaces to the Nervous System
Tim Denison PhD Medtronic, Inc., Minneapolis, MN
This talk will present reflections on designing neural interface (NI) technology from a "translational" perspective. Historically, a NI has often had one of two pathways: one inserting therapeutic or sensory information to modulate the nervous system, and the other sensing information from neural circuits. Due to key translational constraints, the majority of initial implantable devices focused on making a robust link to the nervous system through the first pathway. The flexibility of these systems allowed researchers to cross-leverage and develop solutions for a wide variety of therapeutic applications. The second pathway, sensing information chronically from the brain, has not yet reached this maturity. Lack of translation is due in part to the ongoing challenge of aligning technological capabilities with requirements in the scope of targeted applications like motor prosthesis. However, new research is suggesting that adding embedded sensors and algorithms could potentially improve the performance of existing therapeutic stimulation systems. This motivates the exploration of a merged, bi-directional NI architecture that takes advantage of technically feasible sensing modalities that are well-aligned with unmet needs. A flexible and robust bidirectional device, architected to serve a broad set of neurological conditions, would help catalyze a new era of research focused on better understanding and treating neurological disease while also providing a key milestone for translating brain sensing technology into clinical practice.
Can Cognitive Neural Prosthetics be used to treat Alzheimer’s disease?
Howard Fillit, MD Alzheimer's Drug Discovery Foundatio, New York, NY
Alzheimer’s disease is a chronic progressive and ultimately fatal disorder that affects essentially all systems of cognition and emotion in the end-stages. The cause is unknown, but many approaches to treatment are currently under investigation. In the early phases of the disease, memory and learning, language, aspects of judgment and reasoning, the ability to “recognize,” the ability to execute complex tasks, and other cognitive functions, may be impaired. These deficits are likely related to the “disconnection” of various centers in the brain. Dysfunction of neural networks connectivity in Alzheimer’s disease can be demonstrated by various imaging techniques. Some have suggested cognitive neural prosthetics could be employed for the treatment of Alzheimer’s disease. The outlook for the potential use of cognitive neural prosthetics for Alzheimer’s disease, and how such high risk work might be funded through philanthropy, will be discussed.
Session VI: Promising New Applications of Neural Prosthetics
The Development of Deep Brain Stimulation for Depression
Helen Mayberg, MD Emory University School of Medicine, Atlanta, GA
Critical to the development of deep brain stimulation (DBS) as a novel therapy for patients with treatment resistant depression has been the characterization of brain systems mediating normal and abnormal mood states as well as those mediating successful and unsuccessful response to various antidepressant interventions using functional neuroimaging. Building on converging evidence implicating the subcallosal cingulate as a critical node within an imaging-based, putative depression network model, the subcallosal cingulate white matter was targeted for initial proof-of-principle testing of DBS in patients with treatment resistant major depression, adopting neuromodulation techniques routinely used to treat Parkinson’s disease and other movement disorders. The theoretical and data-driven foundation for this new treatment strategy as well as results from ongoing experimental studies will be presented.
Deep Brain Stimulation For Epilepsy
Robert S. Fisher, MD, PhD Department of Neurology, Stanford University School of Medicine, Stanford, CA
Deep brain stimulation (DBS) is a promising new therapy for epilepsy. Two general strategies have been employed: stimulation on a cycling schedule and stimulation of a seizure focus in response to detection of a seizure. Brain regions stimulated include cerebellum, caudate, brainstem, hippocampus, hypothalamus, subthalamus, centromedian thalamus, anterior thalamus and the cortical seizure focus. Stimulation of the vagus nerve is an approved therapy for epilepsy. A trial entitled SANTE, for stimulation of the anterior nucleus of thalamus for epilepsy, recently implanted electrodes into bilateral anterior thalamic nuclei, attached subcutaneously to a dual-channel programmable stimulator on the chest. The 110 participating subjects had frequent and unmanageable partial-onset seizures. After postoperative recovery for a month, subjects were randomized to 5V or 0V (placebo) using 90 microsecond pulses at 145 per second, cycling on for one minute and off for five. Over a three-month blinded phase, seizures were fewer in the stimulated group (40 vs. 15% reduction, p=0.038). Severe seizures and injuries were reduced. At month four, all patients received 5V stimulation. Seizure improvement increased over the next two years, with 14% becoming seizure-free for 6 months. Adverse events were as expected for implanted brain electrodes, generally well-tolerated. DBS appears effective for refractory partial-onset seizures. Many questions are unanswered, including how DBS works, best stimulation methods, the best patient populations and target sites, why benefits increase over time, whether adverse events will emerge, how to predict good responders, and where in the spectrum of epilepsy treatment to use this new therapy.
Session VII: Ethical and Regulatory Issues
Overview of FDA Medical Device Regulation
Kristen A. Bowsher, PhD Food and Drug Administration, Center for Devices and Radiological Health, Office of Device Evaluation
The United States Food and Drug Administration (FDA) is charged with assuring the safety and effectiveness of a variety of medical products and the FDA’s Center for Devices and Radiological Health (CDRH) is responsible for premarket and postmarket regulation of medical devices. Since many new and innovative medical device uses and technologies are rapidly emerging it is increasingly important for sponsors to gain an increased understanding of the regulatory process and engage in early interaction with the FDA. One of the main responsibilities of CDRH’s Office of Device Evaluation (ODE) is to develop and interpret regulations and guidelines regarding medical devices. There are several paths to market for medical devices: Premarket Notification (510(k)), Premarket Approval Application (PMA), and Humanitarian Device Exemption (HDE). Medical devices are classified based on risk into Class I, II, and III. Clinical data is required for Class III PMA devices and some class II 510(k) devices. In order to study a significant risk device (whether an unapproved device for an unapproved indication or an approved device for an unapproved indication) in human subjects, a sponsor must receive approval from the FDA of an investigational device exemption (IDE) application prior to beginning the investigation. Review of an IDE is focused on determining whether the sponsor has demonstrated that there is a reasonable assurance of safety and that the anticipated benefits to health, from use of the device for its intended uses and conditions of use, outweigh the probable risks.
When Ethics Become Prosthetic: Bringing Context To The Neural Interface
Joseph J. Fins, MD Weill Cornell Medical College, New York, NY
Although prostheses work within individuals, communication with others occur in a societal context. Because of this larger frame of reference, ethical analysis of neuroprosthetic devices meant to facilitate communication -- and foster interaction with others -- must take account of broader contextual issues, including how clinicians, caregivers and the courts might view the patient’s contemporaneous assisted communication in light of prior wishes and preferences. Using the example of passive and active communication with neuroimaging methods being studied in patients with disorders of consciousness, I will consider the impact of imperfect channels of communication upon patient rights and how the ambiguity of prosthetic output might be understood in light of a fuller patient narrative. Absent this ethical contextualization, prosthetic tools meant to foster autonomy might inadvertently undermine self-determination by giving undue primacy to that what was said and not that which was meant.
Conference Location:
The Given Institute 100 East Francis Street Aspen, CO 81611 Local Map
Directions
Public Transportation (Recommended)
RFTA (Roaring Fork Transportation Authority): All points in Aspen can be reached using the RFTA bus system. Within the City of Aspen and many routes running between Aspen and Snowmass Village are free. For more information, click here.
Taxi Services
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Parking
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Suggested Hotel Accommodations in Aspen
(within a few blocks walking distance of the The Given Institute)
Hotel Aspen 110 W. Main Street Aspen, CO 81611 Phone: 800.527.7369 Distance to Given Institute: .2 miles Please click here for a walking map
Molly Gibson Lodge 101 W. Main Street Aspen, Colorado 81611 Phone: 888.649.5982 Distance to Given Institute: .2 miles Please click here for a walking map
The Annabelle Inn 232 W. Main Street Aspen, CO 81611 Phone: 970.925.3822 Distance to Given Institute: .3 miles Please click here for a walking map
The Limelight Lodge 355 S. Monarch Street Aspen, CO 81611 Phone: 800.433.0832 Distance to Given Institute: .4 miles Please click here for a walking map
*Be sure to mention that you are meeting at the Given Institute when booking your room*
For more information about these and other hotels in the Aspen area, please click here.
For general information about Aspen, please click here.
Special Needs and Additional Information
For any additional information and for special needs, including child/family care resources available to conference attendees, please e-mail Deanna Vollmer or call Deanna Vollmer 212.298.8611.
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