The Application of Brain-Spine Interface on Spinal Cord Injury

Authors

  • Haoran Qin

DOI:

https://doi.org/10.54097/ghdwep76

Keywords:

Spinal cord injuries, brain-spine interface, spinal cord injuries rehabilitation.

Abstract

Spinal cord injuries (SCI) hold considerable significance owing to their profound and often irreversible effects on crucial neurological functions, resulting in a substantial reduction in overall quality of life for those affected. The essay explores the transformative potential of the brain-spine interface in the context of SCI rehabilitation. It delves into the cutting-edge technology that enables direct communication between the brain and the spinal cord, bypassing damaged neural pathways. The abstract highlights the profound impact of this innovation on individuals with SCI, offering the hope of restoring lost motor and sensory functions. Additionally, it touches upon the challenges and ethical considerations associated with its application. Ultimately, the essay sheds light on the brain-spine interface as a groundbreaking solution that holds promise for enhancing the quality of life for those with spinal cord injuries.

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References

Capogrosso M, Milekovic T, Borton D, et al. A Brain–Spine Interface Alleviating Gait Deficits After Spinal Cord Injury in Primates. Nature, 2016, 539 (7628): 284-288.

Hachem LD, Ahuja CS, Fehlings MG. Assessment and Management of Acute Spinal Cord Injury: From Point of Injury to Rehabilitation. The Journal of Spinal Cord Medicine, 2017, 40 (6): 665-675.

Patek M, Stewart M. Spinal Cord Injury. Anaesthesia & Intensive Care Medicine, 2023.

Sekhon LH, Fehlings MG. Epidemiology, Demographics, and Pathophysiology of Acute Spinal Cord Injury. Spine, 2001, 26 (24S): S2-S12.

Hutson TH, Di Giovanni S. The Translational Landscape in Spinal Cord Injury: Focus on Neuroplasticity and Regeneration. Nature Reviews Neurology, 2019, 15 (12): 732-745.

Lorach H, Galvez A, Spagnolo V, et al. Walking Naturally After Spinal Cord Injury Using a Brain–Spine Interface. Nature, 2023: 1-8.

Choi EH, Gattas S, Brown NJ, et al. Epidural Electrical Stimulation for Spinal Cord Injury. Neural Regeneration Research, 2021, 16 (12): 2367.

Courtine G, Gerasimenko Y, Van Den Brand R, et al. Transformation of Nonfunctional Spinal Circuits into Functional States After the Loss of Brain Input. Nature Neuroscience, 2009, 12 (10): 1333-1342.

Edgerton VR, Courtine G, Gerasimenko YP, et al. Training Locomotor Networks. Brain Research Reviews, 2008, 57 (1): 241-254.

Wenger N, Moraud EM, Raspopovic S, et al. Closed-Loop Neuromodulation of Spinal Sensorimotor Circuits Controls Refined Locomotion After Complete Spinal Cord Injury. Science Translational Medicine, 2014, 6 (255): 255ra133-255ra133.

Lorach H, Charvet G, Bloch J, Courtine G. Brain–Spine Interfaces to Reverse Paralysis. National Science Review, 2022, 9 (10): nwac009.

Alam M, Rodrigues W, Pham BN, Thakor NV. Brain-Machine Interface Facilitated Neurorehabilitation via Spinal Stimulation After Spinal Cord Injury: Recent Progress and Future Perspectives. Brain Research, 2016, 1646: 25-33.

López-Larraz E, Montesano L, Gil-Agudo Á, Minguez J, Oliviero A. Evolution of EEG Motor Rhythms After Spinal Cord Injury: A Longitudinal Study. PloS One, 2015, 10 (7): e0131759.

Kato K, Sawada M, Nishimura Y. Bypassing Stroke-Damaged Neural Pathways via a Neural Interface Induces Targeted Cortical Adaptation. Nature Communications, 2019, 10 (1): 4699.

Mrachacz-Kersting N, Jiang N, Stevenson AJT, et al. Efficient Neuroplasticity Induction in Chronic Stroke Patients by an Associative Brain-Computer Interface. Journal of Neurophysiology, 2016, 115 (3): 1410-1421.

Benjamin EJ, Blaha MJ, Chiuve SE, et al. Heart Disease and Stroke Statistics—2017 Update: A Report from the American Heart Association. Circulation, 2017, 135 (10): e146-e603.

Curt A, Van Hedel HJ, Klaus D, Dietz V, Em-Sci Study Group. Recovery from a Spinal Cord Injury: Significance of Compensation, Neural Plasticity, and Repair. Journal of Neurotrauma, 2008, 25 (6): 677-685.

McFarland DJ, Daly J, Boulay C, Parvaz MA. Therapeutic Applications of BCI Technologies. Brain-Computer Interfaces, 2017, 4 (1-2): 37-52.

Zhuang M, Wu Q, Wan F, Hu Y. State-of-the-Art Non-Invasive Brain–Computer Interface for Neural Rehabilitation: A Review. Journal of Neurorestoratology, 2020, 8 (1): 12-25.

Flint RD, Wright ZA, Scheid MR, Slutzky MW. Long Term, Stable Brain Machine Interface Performance Using Local Field Potentials and Multiunit Spikes. Journal of Neural Engineering, 2013, 10 (5): 056005.

Blabe CH, Gilja V, Chestek CA, Shenoy KV, Anderson KD, Henderson JM. Assessment of Brain–Machine Interfaces from the Perspective of People with Paralysis. Journal of Neural Engineering, 2015, 12 (4): 043002.

Huang Z, Zhou Z, Zeng J, Lin S, Wu H. Flexible Electrodes for Non-Invasive Brain–Computer Interfaces: A Perspective. APL Materials, 2022, 10 (9).

Tonin L, Millán JDR. Noninvasive Brain–Machine Interfaces for Robotic Devices. Annual Review of Control, Robotics, and Autonomous Systems, 2021, 4: 191-214.

Grillner S, Zangger P. On the Central Generation of Locomotion in the Low Spinal Cat. Experimental Brain Research, 1979, 34: 241-261.

Vidal JJ. Toward Direct Brain-Computer Communication. Annual Review of Biophysics and Bioengineering, 1973, 2 (1): 157-180.

Ichiyama RM, Gerasimenko YP, Zhong H, Roy RR, Edgerton VR. Hindlimb Stepping Movements in Complete Spinal Rats Induced by Epidural Spinal Cord Stimulation. Neuroscience Letters, 2005, 383 (3): 339-344.

Hachem LD, Balbinot G, Fehlings MG. A Digital Bridge to Reverse Paralysis. Cell Research, 2023: 1-2.

O’Hara PA. Neurobiological Political Economy of Artificial General Intelligence and Autonomous Humanoid Robotics. Journal of Economic Issues, 2022, 56 (4): 1118-1167.

Jwa AS, Poldrack RA. Addressing Privacy Risk in Neuroscience Data: From Data Protection to Harm Prevention. Journal of Law and the Biosciences, 2022, 9 (2): lsac025.

Barnett JE, Wise EH, Johnson-Greene D, Bucky SF. Informed Consent: Too Much of a Good Thing or Not Enough? Professional Psychology: Research and Practice, 2007, 38 (2): 179a.

Schulz PJ, Nakamoto K. Patient Behavior and the Benefits of Artificial Intelligence: The Perils of “Dangerous” Literacy and Illusory Patient Empowerment. Patient Education and Counseling, 2013, 92 (2): 223-228.

Cho N, Squair JW, Bloch J, Courtine G. Neurorestorative Interventions Involving Bioelectronic Implants After Spinal Cord Injury. Bioelectronic Medicine, 2019, 5 (1): 10.

World Health Organization. Intersectoral Global Action Plan on Epilepsy and Other Neurological Disorders 2022–2031.

Heng W, Solomon S, Gao W. Flexible Electronics and Devices as Human–Machine Interfaces for Medical Robotics. Advanced Materials, 2022, 34 (16): 2107902.

Insausti-Delgado A, López-Larraz E, Nishimura Y, Ziemann U, Ramos-Murguialday A. Non-Invasive Brain-Spine Interface: Continuous Control of Trans-Spinal Magnetic Stimulation Using EEG. Frontiers in Bioengineering and Biotechnology, 2022, 10: 975037.

Insausti-Delgado A, López-Larraz E, Omedes J, Ramos-Murguialday A. Intensity and Dose of Neuromuscular Electrical Stimulation Influence Sensorimotor Cortical Excitability. Frontiers in Neuroscience, 2021, 14: 593360.

Raffin E, Hummel FC. Restoring Motor Functions After Stroke: Multiple Approaches and Opportunities. The Neuroscientist, 2018, 24 (4): 400-416.

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Published

29-12-2023

How to Cite

Qin, H. (2023). The Application of Brain-Spine Interface on Spinal Cord Injury. Highlights in Science, Engineering and Technology, 74, 815-821. https://doi.org/10.54097/ghdwep76