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Fan J, Li X, Wang P, Yang F, Zhao B, Yang J, Zhao Z, Li X. A Hyperflexible Electrode Array for Long-Term Recording and Decoding of Intraspinal Neuronal Activity. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2303377. [PMID: 37870208 PMCID: PMC10667843 DOI: 10.1002/advs.202303377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 09/23/2023] [Indexed: 10/24/2023]
Abstract
Neural interfaces for stable access to the spinal cord (SC) electrical activity can benefit patients with motor dysfunctions. Invasive high-density electrodes can directly extract signals from SC neuronal populations that can be used for the facilitation, adjustment, and reconstruction of motor actions. However, developing neural interfaces that can achieve high channel counts and long-term intraspinal recording remains technically challenging. Here, a biocompatible SC hyperflexible electrode array (SHEA) with an ultrathin structure that minimizes mechanical mismatch between the interface and SC tissue and enables stable single-unit recording for more than 2 months in mice is demonstrated. These results show that SHEA maintains stable impedance, signal-to-noise ratio, single-unit yield, and spike amplitude after implantation into mouse SC. Gait analysis and histology show that SHEA implantation induces negligible behavioral effects and Inflammation. Additionally, multi-unit signals recorded from the SC ventral horn can predict the mouse's movement trajectory with a high decoding coefficient of up to 0.95. Moreover, during step cycles, it is found that the neural trajectory of spikes and low-frequency local field potential (LFP) signal exhibits periodic geometry patterns. Thus, SHEA can offer an efficient and reliable SC neural interface for monitoring and potentially modulating SC neuronal activity associated with motor dysfunctions.
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Affiliation(s)
- Jie Fan
- Center for Excellence in Brain Science and Intelligence TechnologyInstitute of NeuroscienceChinese Academy of SciencesShanghai200031P. R. China
| | - Xiaocheng Li
- Center for Excellence in Brain Science and Intelligence TechnologyInstitute of NeuroscienceChinese Academy of SciencesShanghai200031P. R. China
| | - Peiyu Wang
- Center for Excellence in Brain Science and Intelligence TechnologyInstitute of NeuroscienceChinese Academy of SciencesShanghai200031P. R. China
| | - Fan Yang
- Center for Excellence in Brain Science and Intelligence TechnologyInstitute of NeuroscienceChinese Academy of SciencesShanghai200031P. R. China
| | - Bingzhen Zhao
- Center for Excellence in Brain Science and Intelligence TechnologyInstitute of NeuroscienceChinese Academy of SciencesShanghai200031P. R. China
| | - Jianing Yang
- Center for Excellence in Brain Science and Intelligence TechnologyInstitute of NeuroscienceChinese Academy of SciencesShanghai200031P. R. China
| | - Zhengtuo Zhao
- Center for Excellence in Brain Science and Intelligence TechnologyInstitute of NeuroscienceChinese Academy of SciencesShanghai200031P. R. China
| | - Xue Li
- Center for Excellence in Brain Science and Intelligence TechnologyInstitute of NeuroscienceChinese Academy of SciencesShanghai200031P. R. China
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Tian T, Zhang S, Yang M. Recent progress and challenges in the treatment of spinal cord injury. Protein Cell 2023; 14:635-652. [PMID: 36856750 PMCID: PMC10501188 DOI: 10.1093/procel/pwad003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 12/29/2022] [Indexed: 02/12/2023] Open
Abstract
Spinal cord injury (SCI) disrupts the structural and functional connectivity between the higher center and the spinal cord, resulting in severe motor, sensory, and autonomic dysfunction with a variety of complications. The pathophysiology of SCI is complicated and multifaceted, and thus individual treatments acting on a specific aspect or process are inadequate to elicit neuronal regeneration and functional recovery after SCI. Combinatory strategies targeting multiple aspects of SCI pathology have achieved greater beneficial effects than individual therapy alone. Although many problems and challenges remain, the encouraging outcomes that have been achieved in preclinical models offer a promising foothold for the development of novel clinical strategies to treat SCI. In this review, we characterize the mechanisms underlying axon regeneration of adult neurons and summarize recent advances in facilitating functional recovery following SCI at both the acute and chronic stages. In addition, we analyze the current status, remaining problems, and realistic challenges towards clinical translation. Finally, we consider the future of SCI treatment and provide insights into how to narrow the translational gap that currently exists between preclinical studies and clinical practice. Going forward, clinical trials should emphasize multidisciplinary conversation and cooperation to identify optimal combinatorial approaches to maximize therapeutic benefit in humans with SCI.
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Affiliation(s)
- Ting Tian
- Ministry of Education Key Laboratory of Protein Science, Beijing Advanced Innovation Center for Structural Biology, Beijing Frontier Research Center for Biological Structure, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Sensen Zhang
- Ministry of Education Key Laboratory of Protein Science, Beijing Advanced Innovation Center for Structural Biology, Beijing Frontier Research Center for Biological Structure, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Maojun Yang
- Ministry of Education Key Laboratory of Protein Science, Beijing Advanced Innovation Center for Structural Biology, Beijing Frontier Research Center for Biological Structure, School of Life Sciences, Tsinghua University, Beijing 100084, China
- Cryo-EM Facility Center, Southern University of Science and Technology, Shenzhen 518055, China
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Tao C, Shen X, Ma L, Li Z, Shen J. Three-dimensional Map of Lumbar Spinal Cord Motor Function for Intraspinal Microstimulation in Rats. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2020; 2020:3525-3528. [PMID: 33018764 DOI: 10.1109/embc44109.2020.9175963] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Intraspinal microstimulation is an effective method to rebuild motor function after spinal cord injury. However, in the implementation, available map of stimulation sites is lacking for reference. The location of electrode implantation can only be determined through multiple stimulation, causing secondary damage to the spinal cord. Therefore, in this paper, SD rats were chosen as the research subject, and the intraspinal microstimulation was used to perform three-dimensional scanning electrical stimulation on the lumbar spinal cord that controls the hindlimb motion. The site coordinates and corresponding threshold current that can induce motion of hip, knee and ankle joints were recorded. In order to reduce the individual variances and improve the universality and applicability of the map, the results of 6 groups were normalized, and three-dimensional map of spinal motor function were drawn in the same coordinate system. The overlap of the distribution area of the same motion in each group was defined as the core region. The threshold current of all sites were analyzed statistically to obtain the most appropriate range of current intensity required to induce hindlimb motion. Using appropriate current for intraspinal microstimulation in the core region can selectively induce desired hindlimb motion, greatly improving the accuracy and reliability of electrode implantation.
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Chen Y, Ma L, Du W, Shen X. [Measuring functional core regions of hindlimb movement control in the rat spinal cord with intraspinal microstimulation]. SHENG WU YI XUE GONG CHENG XUE ZA ZHI = JOURNAL OF BIOMEDICAL ENGINEERING = SHENGWU YIXUE GONGCHENGXUE ZAZHI 2017; 34:622-626. [PMID: 29745562 PMCID: PMC9935325 DOI: 10.7507/1001-5515.201607029] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 07/09/2016] [Indexed: 11/03/2022]
Abstract
In order to improve the accuracy and reliability of the electrodes implant location when using spinal functional electrical stimulation to rebuild hindlimb motor function, we measured the distributions of function core regions in rat spinal cord associated with hindlimb movements. In this study, we utilized three-dimensional scanning intraspinal microstimulation technology to stimulate the rat spinal cord to generate hip, knee and ankle joint movements, and acquired the coordinates of the sites in spinal cord which evoked these movements. In this article, 12 SD rats were used to overcome the individual differences in the functional region of the spinal cord. After normalized and overlaid the messages, we obtained the function core regions in spinal cord associated with ankle dorsiflexion movement, hip flexion movement, hip extension movement and hip adduction movement. It provides a reference for rebuilding the hindlimb movement function with micro-electronic neural bridge.
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Affiliation(s)
- Yi Chen
- Department of Biomedical Engineering, School of Medicine, Nantong University, Nantong, Jiangsu 226019, P.R.China
| | - Lei Ma
- Department of Bioelectronics, School of Electronic Information, Nantong University, Nantong, Jiangsu 226019, P.R.China
| | - Wei Du
- Department of Bioelectronics, School of Electronic Information, Nantong University, Nantong, Jiangsu 226019, P.R.China
| | - Xiaoyan Shen
- Department of Bioelectronics, School of Electronic Information, Nantong University, Nantong, Jiangsu 226019,
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Lo YK, Kuan YC, Culaclii S, Kim B, Wang PM, Chang CW, Massachi JA, Zhu M, Chen K, Gad P, Edgerton VR, Liu W. A Fully Integrated Wireless SoC for Motor Function Recovery After Spinal Cord Injury. IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS 2017; 11:497-509. [PMID: 28489550 PMCID: PMC5562024 DOI: 10.1109/tbcas.2017.2679441] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
This paper presents a wirelessly powered, fully integrated system-on-a-chip (SoC) supporting 160-channel stimulation, 16-channel recording, and 48-channel bio-impedance characterization to enable partial motor function recovery through epidural spinal cord electrical stimulation. A wireless transceiver is designed to support quasi full-duplex data telemetry at a data rate of 2 Mb/s. Furthermore, a unique in situ bio-impedance characterization scheme based on time-domain analysis is implemented to derive the Randles cell electrode model of the electrode-electrolyte interface. The SoC supports concurrent stimulation and recording while the high-density stimulator array meets an output compliance voltage of up to ±10 V with versatile stimulus programmability. The SoC consumes 18 mW and occupies a chip area of 5.7 mm × 4.4 mm using 0.18 μm high-voltage CMOS process. In our in vivo rodent experiment, the SoC is used to perform wireless recording of EMG responses while stimulation is applied to enable the standing and stepping of a paralyzed rat. To facilitate the system integration, a novel thin film polymer packaging technique is developed to provide a heterogeneous integration of the SoC, coils, discrete components, and high-density flexible electrode array, resulting in a miniaturized prototype implant with a weight and form factor of 0.7 g and 0.5 cm3, respectively.
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Krucoff MO, Rahimpour S, Slutzky MW, Edgerton VR, Turner DA. Enhancing Nervous System Recovery through Neurobiologics, Neural Interface Training, and Neurorehabilitation. Front Neurosci 2016; 10:584. [PMID: 28082858 PMCID: PMC5186786 DOI: 10.3389/fnins.2016.00584] [Citation(s) in RCA: 85] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2016] [Accepted: 12/06/2016] [Indexed: 12/21/2022] Open
Abstract
After an initial period of recovery, human neurological injury has long been thought to be static. In order to improve quality of life for those suffering from stroke, spinal cord injury, or traumatic brain injury, researchers have been working to restore the nervous system and reduce neurological deficits through a number of mechanisms. For example, neurobiologists have been identifying and manipulating components of the intra- and extracellular milieu to alter the regenerative potential of neurons, neuro-engineers have been producing brain-machine and neural interfaces that circumvent lesions to restore functionality, and neurorehabilitation experts have been developing new ways to revitalize the nervous system even in chronic disease. While each of these areas holds promise, their individual paths to clinical relevance remain difficult. Nonetheless, these methods are now able to synergistically enhance recovery of native motor function to levels which were previously believed to be impossible. Furthermore, such recovery can even persist after training, and for the first time there is evidence of functional axonal regrowth and rewiring in the central nervous system of animal models. To attain this type of regeneration, rehabilitation paradigms that pair cortically-based intent with activation of affected circuits and positive neurofeedback appear to be required-a phenomenon which raises new and far reaching questions about the underlying relationship between conscious action and neural repair. For this reason, we argue that multi-modal therapy will be necessary to facilitate a truly robust recovery, and that the success of investigational microscopic techniques may depend on their integration into macroscopic frameworks that include task-based neurorehabilitation. We further identify critical components of future neural repair strategies and explore the most updated knowledge, progress, and challenges in the fields of cellular neuronal repair, neural interfacing, and neurorehabilitation, all with the goal of better understanding neurological injury and how to improve recovery.
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Affiliation(s)
- Max O Krucoff
- Department of Neurosurgery, Duke University Medical Center Durham, NC, USA
| | - Shervin Rahimpour
- Department of Neurosurgery, Duke University Medical Center Durham, NC, USA
| | - Marc W Slutzky
- Department of Physiology, Feinberg School of Medicine, Northwestern UniversityChicago, IL, USA; Department of Neurology, Feinberg School of Medicine, Northwestern UniversityChicago, IL, USA
| | - V Reggie Edgerton
- Department of Integrative Biology and Physiology, University of California, Los Angeles Los Angeles, CA, USA
| | - Dennis A Turner
- Department of Neurosurgery, Duke University Medical CenterDurham, NC, USA; Department of Neurobiology, Duke University Medical CenterDurham, NC, USA; Research and Surgery Services, Durham Veterans Affairs Medical CenterDurham, NC, USA
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