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Symposium on regenerative medicine| Volume 89, ISSUE 5, P708-714, May 2014

Brain Machine Interface and Limb Reanimation Technologies: Restoring Function After Spinal Cord Injury Through Development of a Bypass System

      Abstract

      Functional restoration of limb movement after traumatic spinal cord injury (SCI) remains the ultimate goal in SCI treatment and directs the focus of current research strategies. To date, most investigations in the treatment of SCI focus on repairing the injury site. Although offering some promise, these efforts have met with significant roadblocks because treatment measures that are successful in animal trials do not yield similar results in human trials. In contrast to biologic therapies, there are now emerging neural interface technologies, such as brain machine interface (BMI) and limb reanimation through electrical stimulators, to create a bypass around the site of the SCI. The BMI systems analyze brain signals to allow control of devices that are used to assist SCI patients. Such devices may include a computer, robotic arm, or exoskeleton. Limb reanimation technologies, which include functional electrical stimulation, epidural stimulation, and intraspinal microstimulation systems, activate neuronal pathways below the level of the SCI. We present a concise review of recent advances in the BMI and limb reanimation technologies that provides the foundation for the development of a bypass system to improve functional outcome after traumatic SCI. We also discuss challenges to the practical implementation of such a bypass system in both these developing fields.

      Abbreviations and Acronyms:

      BMI (brain machine interface), FES (functional electrical stimulation), ISMS (intraspinal microstimulation), SCI (spinal cord injury)
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      Learning Objectives: On completion of this article, you should be able to (1) cite the advantages and disadvantages of cue based and self-paced brain machine interfaces (BMIs), (2) define the concept of central pattern generators and explain its relevance to intraspinal microstimulation (ISMS) techniques, and (3) describe three challenges associated with developing a bypass system integrating BMI and ISMS technology.
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      In their editorial and administrative roles, William L. Lanier, Jr, MD, Terry L. Jopke, Kimberly D. Sankey, and Nicki M. Smith, MPA, have control of the content of this program but have no relevant financial relationship(s) with industry.
      The authors report no competing interests.
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      Researchers have spent decades searching for ways to restore function to those with traumatic spinal cord injury (SCI). Development of treatment strategies must begin with understanding how injury affects the nervous system. Injury to the spinal cord prevents cortical signals generated by the brain from reaching target muscles, resulting in paralysis. Functional magnetic resonance imaging studies indicate that even after SCI, the brain continues to generate electrical signals in response to an individual’s intention to move.
      • Freund P.
      • Weiskopf N.
      • Ward N.S.
      • et al.
      Disability, atrophy and cortical reorganization following spinal cord injury.
      Additional studies indicate that electrophysiologic stimuli applied to the muscles, peripheral nerves, or spinal cord, below the level of injury, can generate muscle activity.
      • Jackson A.
      • Zimmermann J.B.
      Neural interfaces for the brain and spinal cord—restoring motor function.
      These discoveries offer a ray of hope in the treatment of SCI if we then conceive of paralysis as an information transfer lesion, where the information sent from the brain via the corticospinal tract does not reach the spinal cord.
      To restore limb function to individuals with SCI, this information transfer lesion must be either repaired or bypassed. To date, current research efforts have focused on ways to repair the damaged spinal cord or to prevent further injury after the initial insult to the spinal cord. Transplantation of stem cells at the site of the injury, introduction of tissue-bridging biomatrices and peripheral nerve transfers, and targeting of methods to increase expression of neurotrophins and cytokines via viral transduction are among the strategies being investigated.
      • Filli L.
      • Schwab M.E.
      The rocky road to translation in spinal cord repair.
      Although offering promise in the preclinical setting, these investigations have met with limited success in clinical trials. The lack of an adequate animal model of SCI, along with safety concerns associated with some of these therapies,
      • Filli L.
      • Schwab M.E.
      The rocky road to translation in spinal cord repair.
      are cited as reasons for the poor translatability of these treatments in humans. Indeed, to date, there has been no report of restoration of limb movement using these biologic repair approaches.
      In part because of the limited success of techniques to directly repair lesions due to SCI, efforts have focused in recent years on rehabilitative strategies to restore functional independence to individuals with SCI.
      • Jackson A.
      • Zimmermann J.B.
      Neural interfaces for the brain and spinal cord—restoring motor function.
      Among these efforts are the development of brain machine interface (BMI) systems. The BMI systems capture and analyze information from the brain and then deliver commands to an external device that is then able to perform the function initially intended by the patient.
      • Shih J.J.
      • Krusienski D.J.
      • Wolpaw J.R.
      Brain-computer interfaces in medicine.
      Another strategy involves directly activating neuronal pathways below the level of the SCI lesion. In this way, we can restore function to limbs that can no longer directly receive commands from the brain. This innovative concept, known as limb reanimation, includes functional electrical stimulation (FES) of peripheral nerves or target muscles and epidural stimulation or direct intraspinal microstimulation (ISMS) of the spinal cord itself.
      • Filli L.
      • Schwab M.E.
      The rocky road to translation in spinal cord repair.
      By combining the capabilities of the BMI and limb reanimation systems, a bypass of the information transfer lesion in SCI may be created, and the seemingly far-reaching goal of restoring limb function to SCI patients becomes possible (Figure 1). In this review, we discuss current advances in the BMI and limb reanimation systems and discuss how these technologies bring us closer to restoring function to paralyzed limbs in patients with traumatic SCI.
      Figure thumbnail gr1
      Figure 1Brain machine interface–directed limb reanimation concept. A patient with spinal cord injury undergoes implantation with a cortical device to capture signals produced by the brain as he imagines movements. These signals are then processed and delivered wirelessly to an intraspinal microstimulation device, allowing him to walk.
      Image courtesy of Mayo Clinic in Rochester, Minnesota.

      The BMI Systems

      The BMI systems are designed to restore lost neurologic functions to individuals with SCI, stroke, or a neurodegenerative disorder, such as amyotrophic lateral sclerosis.
      • Shih J.J.
      • Krusienski D.J.
      • Wolpaw J.R.
      Brain-computer interfaces in medicine.
      A BMI first captures the electrical signals generated by the brain when the user intends to move. To operate the BMI system, a user may simply imagine certain actions, such as squeezing the hand or moving the foot, or more complex movements, such as walking. This process, known as motor imagery, produces electrical activations in the regions of the motor, premotor, and supplementary motor cortices. These signals are captured by a variety of techniques, including electroencephalography, electrocorticography, direct recordings of action potentials (known as single-unit recordings), and near-infrared spectroscopy, to cite a few.
      • Shih J.J.
      • Krusienski D.J.
      • Wolpaw J.R.
      Brain-computer interfaces in medicine.
      • Birbaumer N.
      • Weber C.
      • Neuper C.
      • Buch E.
      • Haapen K.
      • Cohen L.
      Physiological regulation of thinking: brain-computer interface (BCI) research.
      The more invasive systems (single-unit recordings and electrocorticography) provide the best signal quality but do so at the highest risk to the patient. The least invasive systems ( electroencephalography and near-infrared spectroscopy) carry minimal risk to the user but yield the poorest signal quality. Signals from such noninvasive techniques may not provide sufficient quality to operate complex devices, such as prosthetic arms or exoskeletons, which require multiple degrees of freedom of control.
      Once the cortical signals are captured, they are analyzed using a computer-based algorithm to yield what is known as a signature. A signature is a specific pattern of electrical activity, composed of spatial-, temporal-, and frequency-based components, that is unique to a particular imagined movement. It is not necessary that the action imagined by the user correlate directly with the intended result; what is important is that a unique signature be produced for each intended action.
      • Leuthardt E.
      • Schalk G.
      • Wolpaw J.R.
      • Ojemann J.G.
      • Moran D.W.
      A brain-computer interface using electrocorticographic signals in humans.
      Once the signature is recognized, signal processing is performed by a software system, such as OpenVibe
      • Renard Y.
      • Lotte F.
      • Gibert G.
      • et al.
      OpenViBE: an open-source software platform to design, test, and use brain-computer interfaces in real and virtual environments.
      or BCI 2000,
      • Schalk G.
      • McFarland D.J.
      • Hinterberger T.
      • Birbaumer N.
      • Wolpaw J.R.
      BCI2000: a general-purpose brain-computer interface (BCI) system.
      and then a command is delivered to a device, known as an effector. Such commands can vary from the simplistic, such as controlling a computer mouse on a screen,
      • Wolpaw J.R.
      • McFarland D.J.
      Control of a two-dimensional movement signal by a non-invasive brain-computer interface in humans.
      to highly complex, controlling a 7-df prosthetic arm
      • Collinger J.L.
      • Wodlinger B.
      • Downey J.E.
      • et al.
      High-performance neuroprosthetic control by an individual with tetraplegia.
      or, theoretically, even a full exoskeleton.
      One of the major challenges in the BMI system design is developing systems that can be safely and effectively used at home. An ideal system may be activated at any time and will safely and seamlessly function in whatever capacity is needed. To meet this challenge, asynchronous (or self-paced) BMI systems have been developed. Such systems are available to use at any time. These differ from synchronous or cue-based systems that will work only at specific times determined by the BMI. Although asynchronous systems offer a significant degree of user autonomy, currently these systems yield a high number of unintentional (false-positive) activations by the system, thus introducing safety concerns.
      • Fatourechi M.
      • Ward R.K.
      • Birch G.E.
      A self-paced brain–computer interface system with a low false positive rate.
      Cue-based systems, although significantly reducing false-positive activations, come at the cost of offering less user control.
      • Müller-Putz G.R.
      • Scherer R.
      • Pfurtscheller G.
      • Rupp R.
      Brain-computer interfaces for control of neuroprostheses: from synchronous to asynchronous mode of operation.
      Optimizing the technology of asynchronous systems is the next challenge in the BMI design. To date, signal processing algorithms have been designed for asynchronous BMI control
      • Eliseyev A.
      • Moro C.
      • Costecalde T.
      • et al.
      Iterative N-way partial least squares for a binary self-paced brain–computer interface in freely moving animals.
      ; however, no complete BMI systems have produced a sufficient online efficiency rate with a low enough false-positive rate to provide a reasonable clinical safety profile.
      Along the same lines, specific movements by an effector (such as a robotic arm) may be controlled primarily by the user or the BMI system itself. Systems that allow the user to have precise control of the effector require the exertion of continuous control of brain signals from the moment of task initiation to its conclusion, which can be tiring after prolonged system use.
      • Royer A.S.
      • Rose M.L.
      • He B.
      Goal selection versus process control while learning to use a brain-computer interface.
      In contrast to such process control systems, goal selection systems only require the user to control the system for a brief period, long enough for the system to ascertain the user’s intent.
      • Royer A.S.
      • Rose M.L.
      • He B.
      Goal selection versus process control while learning to use a brain-computer interface.
      In doing so, these systems provide a high degree of accuracy, faster speed of activation, and less user fatigue because the system takes over once the intent of the user is known. However, such systems require movements to be preprogrammed, thus limiting the adaptability of such systems to user needs.
      In a recent clinical trial, a 52-year-old quadriplegic patient who underwent implantation with dual 96-contact intracortical electrode arrays learned to control a 7-df prosthetic arm in a 4-month training period after electrode implantation.
      • Collinger J.L.
      • Wodlinger B.
      • Downey J.E.
      • et al.
      High-performance neuroprosthetic control by an individual with tetraplegia.
      Although the system still required a cue for activation, the patient was able to control the movements of the prosthetic arm, independent of computer assistance, after 10 weeks of training. This is the first example of an efficient process control system that allowed a patient to consistently perform natural and complex movements, without significant effects of fatigue.

      Limb Reanimation

      Once the intended movement has been identified by analyzing cortical signals, the next step in developing a bypass system is delivering commands to the intended muscles. Just as the brain continues to generate electrical signals after SCI, studies have found that the muscles below the level of an SCI continue to respond to an applied electrical stimulus. Electrical stimulation may be applied directly to the muscles via surface or intramuscular techniques or to the motor neurons in FES procedures. Furthermore, stimulation of the spinal cord below the level of injury, using either epidural or ISMS techniques, produces a contraction in one or more muscles.
      • Loeb G.E.
      • Davoodi R.
      The functional reanimation of paralyzed limbs.
      During a recent clinical trial, a paraplegic patient was able to stand for a period during stimulation with electrodes implanted in the epidural space.
      • Harkema S.
      • Gerasimenko Y.
      • Hodes J.
      • et al.
      Effect of epidural stimulation of the lumbosacral spinal cord on voluntary movement, standing, and assisted stepping after motor complete paraplegia: a case study.
      As has been noted with many FES systems, the patient experienced muscle fatigue after prolonged epidural stimulation. In contrast, the force and durability of muscle contraction are greater with ISMS systems, which may allow smaller current requirement and greater fidelity of muscle control. Furthermore, intraspinal systems avoid problems such as muscle fatigue, stimulation spillover, and reverse motor unit recruitment seen with more superficial stimulation systems.
      • Crago P.E.
      • Peckham P.H.
      • Thrope G.B.
      Modulation of muscle force by recruitment during intramuscular stimulation.
      • Peckham P.H.
      • Knutson J.S.
      Functional electrical stimulation for neuromuscular applications.
      • Troyk P.R.
      • Donaldson Nde N.
      Implantable FES stimulation systems: what is needed?.
      Thus, despite the risks associated with placing an invasive spinal stimulation system, the ISMS system may provide the best long-term solution to achieve limb reanimation (Figure 2).
      Figure thumbnail gr2
      Figure 2Intraspinal microstimulation (ISMS) implantation concept. A, Spinal cord injury located at T12, producing a complete lesion. Laminectomy (B) and pedicle screw placement (C) performed as standard treatment for spinal fractures. D, Spinal cord cross-section showing electrode array implantation location in the ventral horn region below the level of the injury. E, Patient with implanted intraspinal microelectrode array now able to walk via wirelessly controlled ISMS system.
      Image courtesy of Mayo Clinic in Rochester, Minnesota.
      Limb reanimation studies with the ISMS systems are in the early research stages. Currently, no consensus exists regarding electrode design, optimization of electrode implantation location and stimulation parameters, or delivery system strategies. State-of-the-art systems use fine microwire electrodes, measuring on the order of tens to hundreds of micrometers in diameter. These microwires are inserted into the motor neuron pools of the lumbar enlargement in the spinal cord of small animal models.
      • Bamford J.A.
      • Mushahwar V.K.
      Intraspinal microstimulation for the recovery of function following spinal cord injury.
      Currently, variability exists in selecting target areas for electrode insertion, which may improve as spinal cord mapping in animal models becomes further refined. To date, mapping studies have been conducted in the rat, frog, and cat.
      A recent study reported limb movement in rodents who had undergone T4 lesioning followed by implantation of a thin microwire in the lumbar enlargement of the spinal cord. Hind limb movements indicated a graded response to increasing levels of stimulation amplitude using an intraspinal microstimulation device (Peter A. Grahn, BA, unpublished data, 2013). Although these results are encouraging, questions remain about whether successful trials in small animals will translate to large animal models and humans.
      Information has come to light in the past few years regarding the concept of central pattern generators, which are neuronal networks located in the spinal cord that are thought to be responsible for locomotion. Much of the work with the ISMS system for limb reanimation was initiated by Vivian Mushahwar, who recently found almost full-strength stepping ability in anesthetized cats with ISMS electrodes implanted in the lumbar enlargement of the spinal cord, targeting these central pattern generators.
      • Holinski B.J.
      • Mazurek K.A.
      • Everaert D.G.
      • Stein R.B.
      • Mushahwar V.K.
      Restoring stepping after spinal cord injury using intraspinal microstimulation and novel control strategies.
      The effect of SCI on central pattern generators is currently unknown and must be further investigated to determine how electrode targeting needs to be adjusted after injury. The ISMS studies in large animal models of SCI combined with advancements in magnetic resonance imaging of the spinal cord may provide more insight into a functional map of the spinal cord in both animal models and humans.
      Beyond optimizing electrode design and targeting, another significant challenge is development of a delivery system for electrode implantation. A stereotactic spinal delivery system is necessary to achieve precise implantation of intraspinal microelectrodes. Use of stereotactic frames or frameless localization systems in spine surgery has been hindered by problems with inaccuracy because of variability of surface landmarks that are used as fixation points. The target accuracy for these systems must be at the submillimeter level, significantly more precise than current spinal stereotactic targeting systems.
      • Rath S.A.
      • Moszko S.
      • Schäffner P.M.
      • et al.
      Accuracy of pedicle screw insertion in the cervical spine for internal fixation using frameless stereotactic guidance.

      Development of a Bypass System for Functional Restoration of Paralyzed Limbs

      The concept of SCI as an information transfer lesion creates the possibility of developing a bypass system around the lesion to deliver intended commands to target muscles. The BMI systems allow us to ascertain information regarding a patient’s intent to move a limb, whereas the FES and ISMS systems permit us to apply specific patterns of electrical stimuli to target muscles or to motor neurons themselves. By forming a wireless link between these 2 systems, we can conceive of an integrated bypass system that will restore motor function to a paralyzed patient. The complexities of forming a link between these 2 systems are significant. On a basic level, this type of bypass system will not account for activity in subcortical pathways because current BMI systems are not able to capture such signals. Therefore, details regarding how the signals are delivered to motor neurons to effect simple limb movements, such as flexion and extension of specific muscles, as well as more complex movements such as gait, will have to be surmised from experimental ISMS studies.
      Presenting a further challenge, the BMI software, which processes cortical signals, must be integrated with the software systems that control the FES and ISMS devices. Alternatively, a new software system that is capable of delivering cortical signals obtained from the BMI directly to the limb reanimation electrodes could be developed. A benefit in developing a new direct software interface is the possibility of implementing a 2-way information transfer system, which would integrate sensory feedback from the spinal stimulation device to the BMI, to allow dynamic system control. This is an important adjunct to such a system because muscle response to a descending signal is thought to depend in part on sensory feedback from spinal interneurons.
      • Loeb G.E.
      • Davoodi R.
      The functional reanimation of paralyzed limbs.
      Furthermore, advancements must be made in both the BMI and FES or ISMS systems to support wireless control of the systems, which is essential to allow fully implantable devices that can be used at will in the patient’s home. To date, only 1 wireless BMI implant
      • Charvet G.
      • Foerster M.
      • Chatalic G.
      • et al.
      A wireless 64-channel ECoG recording electronic for implantable monitoring and BCI applications: WIMAGINE.
      and 2 wireless ISMS systems exist.
      • Troyk P.R.
      • Mushahwar V.K.
      • Stein R.B.
      • et al.
      An implantable neural stimulator for intraspinal microstimulation.
      • Chang S.Y.
      • Kimble C.J.
      • Kim I.
      • et al.
      Development of the Mayo Investigational Neuromodulation Control System (MINCS): toward a closed-loop electrochemical feedback system for Deep Brain Stimulation.
      Finally, safety profiles of the individual system components and the overall bypass system must be carefully evaluated before proceeding with implementation of these technologies.

      Conclusion

      Combination of the innovative technologies of the BMI and limb reanimation systems introduces hope to restore limb function to the paralyzed. Control of a robotic arm and other effectors has already been produced using BMI technology. In addition, epidural spinal stimulation has permitted a paraplegic patient to stand. This achievement suggests the feasibility of integrating the capabilities of both systems to create a bypass system for patients with SCI and thus restore a degree of autonomy to these individuals. Because both the BMI and ISMS systems are in relatively early stages of development, we are afforded an opportunity to tailor the design of combined bypass systems to include functions such as providing sensory feedback that will maximize the benefit for patients with SCI.

      Acknowledgments

      We gratefully acknowledge Veneliza Salcedo of Mayo Clinic for her artistry in the creation of illustrations for this article.

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