Walking naturally after spinal cord injury using a brain-spine interface.
Humans
Brain
/ physiology
Brain-Computer Interfaces
Electric Stimulation Therapy
/ instrumentation
Quadriplegia
/ etiology
Reproducibility of Results
Spinal Cord
/ physiology
Spinal Cord Injuries
/ complications
Walking
/ physiology
Leg
/ physiology
Neurological Rehabilitation
/ instrumentation
Male
Journal
Nature
ISSN: 1476-4687
Titre abrégé: Nature
Pays: England
ID NLM: 0410462
Informations de publication
Date de publication:
Jun 2023
Jun 2023
Historique:
received:
01
08
2022
accepted:
17
04
2023
medline:
2
6
2023
pubmed:
25
5
2023
entrez:
24
5
2023
Statut:
ppublish
Résumé
A spinal cord injury interrupts the communication between the brain and the region of the spinal cord that produces walking, leading to paralysis
Identifiants
pubmed: 37225984
doi: 10.1038/s41586-023-06094-5
pii: 10.1038/s41586-023-06094-5
pmc: PMC10232367
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
126-133Informations de copyright
© 2023. The Author(s).
Références
Bickenbach, J. et al. International Perspectives on Spinal Cord Injury: Summary (WHO, 2013); https://apps.who.int/iris/handle/10665/94192 .
Ahuja, C. S. et al. Traumatic spinal cord injury. Nat. Rev. Dis. Primer 3, 17018 (2017).
doi: 10.1038/nrdp.2017.18
Benabid, A. L. et al. An exoskeleton controlled by an epidural wireless brain–machine interface in a tetraplegic patient: a proof-of-concept demonstration. Lancet Neurol. https://doi.org/10.1016/S1474-4422(19)30321-7 (2019).
Wagner, F. B. et al. Targeted neurotechnology restores walking in humans with spinal cord injury. Nature 563, 65–71 (2018).
pubmed: 30382197
doi: 10.1038/s41586-018-0649-2
Rowald, A. et al. Activity-dependent spinal cord neuromodulation rapidly restores trunk and leg motor functions after complete paralysis. Nat. Med. 28, 260–271 (2022).
pubmed: 35132264
doi: 10.1038/s41591-021-01663-5
Kathe, C. et al. The neurons that restore walking after paralysis. Nature 611, 540–547 (2022).
pubmed: 36352232
pmcid: 9668750
doi: 10.1038/s41586-022-05385-7
Arber, S. & Costa, R. M. Connecting neuronal circuits for movement. Science 360, 1403–1404 (2018).
pubmed: 29954969
doi: 10.1126/science.aat5994
Courtine, G. & Sofroniew, M. V. Spinal cord repair: advances in biology and technology. Nat. Med. 25, 898–908 (2019).
pubmed: 31160817
doi: 10.1038/s41591-019-0475-6
Capogrosso, M. et al. A computational model for epidural electrical stimulation of spinal sensorimotor circuits. J. Neurosci. 33, 19326–19340 (2013).
pubmed: 24305828
pmcid: 6618777
doi: 10.1523/JNEUROSCI.1688-13.2013
Wenger, N. et al. Closed-loop neuromodulation of spinal sensorimotor circuits controls refined locomotion after complete spinal cord injury. Sci. Transl. Med. 6, 255ra133 (2014).
pubmed: 25253676
doi: 10.1126/scitranslmed.3008325
Wenger, N. et al. Spatiotemporal neuromodulation therapies engaging muscle synergies improve motor control after spinal cord injury. Nat. Med. 22, 138–145 (2016).
pubmed: 26779815
pmcid: 5061079
doi: 10.1038/nm.4025
Moraud, E. M. et al. Mechanisms underlying the neuromodulation of spinal circuits for correcting gait and balance deficits after spinal cord injury. Neuron 89, 814–828 (2016).
pubmed: 26853304
doi: 10.1016/j.neuron.2016.01.009
Capogrosso, M. et al. A brain–spine interface alleviating gait deficits after spinal cord injury in primates. Nature 539, 284–288 (2016).
pubmed: 27830790
pmcid: 5108412
doi: 10.1038/nature20118
Minev, I. R. et al. Biomaterials. Electronic dura mater for long-term multimodal neural interfaces. Science 347, 159–163 (2015).
pubmed: 25574019
doi: 10.1126/science.1260318
Bonizzato, M. et al. Brain-controlled modulation of spinal circuits improves recovery from spinal cord injury. Nat. Commun. 9, 3015 (2018).
pubmed: 30068906
pmcid: 6070513
doi: 10.1038/s41467-018-05282-6
Lorach, H., Charvet, G., Bloch, J. & Courtine, G. Brain–spine interfaces to reverse paralysis. Natl Sci. Rev. 9, nwac009 (2022).
pubmed: 36196116
pmcid: 9522392
doi: 10.1093/nsr/nwac009
Willett, F. R., Avansino, D. T., Hochberg, L. R., Henderson, J. M. & Shenoy, K. V. High-performance brain-to-text communication via handwriting. Nature 593, 249–254 (2021).
pubmed: 33981047
pmcid: 8163299
doi: 10.1038/s41586-021-03506-2
Vansteensel, M. J. et al. Fully implanted brain–computer interface in a locked-in patient with ALS. N. Engl. J. Med. 375, 2060–2066 (2016).
pubmed: 27959736
pmcid: 5326682
doi: 10.1056/NEJMoa1608085
Moses, D. A. et al. Neuroprosthesis for decoding speech in a paralyzed person with anarthria. N. Engl. J. Med. 385, 217–227 (2021).
pubmed: 34260835
pmcid: 8972947
doi: 10.1056/NEJMoa2027540
Mestais, C. S. et al. WIMAGINE: wireless 64-channel ECoG recording implant for long term clinical applications. IEEE Trans. Neural Syst. Rehabil. Eng. 23, 10–21 (2015).
pubmed: 25014960
doi: 10.1109/TNSRE.2014.2333541
Seeber, M., Scherer, R., Wagner, J., Solis-Escalante, T. & Müller-Putz, G. R. EEG beta suppression and low gamma modulation are different elements of human upright walking. Front. Hum. Neurosci. 8, 485–485 (2014).
pubmed: 25071515
pmcid: 4086296
doi: 10.3389/fnhum.2014.00485
Donati, A. R. C. et al. Long-term training with a brain-machine interface-based gait protocol induces partial neurological recovery in paraplegic patients. Sci. Rep. 6, 30383 (2016).
pubmed: 27513629
pmcid: 4980986
doi: 10.1038/srep30383
McCrimmon, C. M. et al. Electrocorticographic encoding of human gait in the leg primary motor cortex. Cereb. Cortex 28, 2752–2762 (2017).
pmcid: 6248549
doi: 10.1093/cercor/bhx155
Selfslagh, A. et al. Non-invasive, brain-controlled functional electrical stimulation for locomotion rehabilitation in individuals with paraplegia. Sci. Rep. 9, 6782 (2019).
pubmed: 31043637
pmcid: 6494802
doi: 10.1038/s41598-019-43041-9
Greiner, N. et al. Recruitment of upper-limb motoneurons with epidural electrical stimulation of the cervical spinal cord. Nat. Commun. 12, 435 (2021).
pubmed: 33469022
pmcid: 7815834
doi: 10.1038/s41467-020-20703-1
Moly, A. et al. An adaptive closed-loop ECoG decoder for long-term and stable bimanual control of an exoskeleton by a tetraplegic. J. Neural Eng. 19, 026021 (2022).
doi: 10.1088/1741-2552/ac59a0
Cappellini, G., Ivanenko, Y. P., Dominici, N., Poppele, R. E. & Lacquaniti, F. Migration of motor pool activity in the spinal cord reflects body mechanics in human locomotion. J. Neurophysiol. 104, 3064–3073 (2010).
pubmed: 20881204
doi: 10.1152/jn.00318.2010
Daly, J. J. et al. Development and testing of the Gait Assessment and Intervention Tool (G.A.I.T.): a measure of coordinated gait components. J. Neurosci. Methods 178, 334–339 (2009).
pubmed: 19146879
doi: 10.1016/j.jneumeth.2008.12.016
Larzabal, C. et al. Long-term stability of the chronic epidural wireless recorder WIMAGINE in tetraplegic patients. J. Neural Eng. 18, 056026 (2021).
doi: 10.1088/1741-2552/ac2003
Harkema, S. 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. Lancet 377, 1938–1947 (2011).
pubmed: 21601270
pmcid: 3154251
doi: 10.1016/S0140-6736(11)60547-3
Rejc, E., Angeli, C. A., Atkinson, D. & Harkema, S. J. Motor recovery after activity-based training with spinal cord epidural stimulation in a chronic motor complete paraplegic. Sci. Rep. 7, 13476 (2017).
pubmed: 29074997
pmcid: 5658385
doi: 10.1038/s41598-017-14003-w
Angeli, C. A. et al. Recovery of over-ground walking after chronic motor complete spinal cord injury. N. Engl. J. Med. 379, 1244–1250 (2018).
pubmed: 30247091
doi: 10.1056/NEJMoa1803588
Gill, M. L. et al. Neuromodulation of lumbosacral spinal networks enables independent stepping after complete paraplegia. Nat. Med. 24, 1677–1682 (2018).
pubmed: 30250140
doi: 10.1038/s41591-018-0175-7
Darrow, D. et al. Epidural spinal cord stimulation facilitates immediate restoration of dormant motor and autonomic supraspinal pathways after chronic neurologically complete spinal cord injury. J. Neurotrauma 36, 2325–2336 (2019).
pubmed: 30667299
pmcid: 6648195
doi: 10.1089/neu.2018.6006
Shokur, S. et al. Training with brain–machine interfaces, visuo-tactile feedback and assisted locomotion improves sensorimotor, visceral, and psychological signs in chronic paraplegic patients. PLoS ONE 13, e0206464 (2018).
pubmed: 30496189
pmcid: 6264837
doi: 10.1371/journal.pone.0206464
Biasiucci, A. et al. Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke. Nat. Commun. 9, 2421 (2018).
pubmed: 29925890
pmcid: 6010454
doi: 10.1038/s41467-018-04673-z
Jovanovic, L. I. et al. Restoration of upper-limb function after chronic severe hemiplegia: a case report on the feasibility of a brain-computer interface controlled functional electrical stimulation therapy. Am. J. Phys. Med. Rehabil. 99, e35–e40 (2020).
pubmed: 30768447
doi: 10.1097/PHM.0000000000001163
Nishimura, Y., Perlmutter, S. I., Eaton, R. W. & Fetz, E. E. Spike-timing-dependent plasticity in primate corticospinal connections induced during free behavior. Neuron 80, 1301–1309 (2013).
pubmed: 24210907
pmcid: 4079851
doi: 10.1016/j.neuron.2013.08.028
Moorjani, S., Walvekar, S., Fetz, E. E. & Perlmutter, S. I. Movement-dependent electrical stimulation for volitional strengthening of cortical connections in behaving monkeys. Proc. Natl Acad. Sci. USA 119, e2116321119 (2022).
pubmed: 35759657
pmcid: 9271159
doi: 10.1073/pnas.2116321119
Guggenmos, D. J. et al. Restoration of function after brain damage using a neural prosthesis. Proc. Natl Acad. Sci. USA 110, 21177–21182 (2013).
pubmed: 24324155
pmcid: 3876197
doi: 10.1073/pnas.1316885110
Noga, B. R. & Guest, J. D. Combined neuromodulatory approaches in the central nervous system for treatment of spinal cord injury. Curr. Opin. Neurol. 34, 804–811 (2021).
pubmed: 34593718
pmcid: 8595808
doi: 10.1097/WCO.0000000000000999
Barra, B. et al. Epidural electrical stimulation of the cervical dorsal roots restores voluntary upper limb control in paralyzed monkeys. Nat. Neurosci. 25, 924–934 (2022).
pubmed: 35773543
doi: 10.1038/s41593-022-01106-5
Powell, M. P. et al. Epidural stimulation of the cervical spinal cord for post-stroke upper-limb paresis. Nat. Med. https://doi.org/10.1038/s41591-022-02202-6 (2023).
Knösche, T. R. & Haueisen, J. EEG/MEG Source Reconstruction: Textbook for Electro- and Magnetoencephalography (Springer, 2022).
Gramfort, A. et al. MEG and EEG data analysis with MNE-Python. Front. Neurosci. 7, 267 (2013).
pubmed: 24431986
pmcid: 3872725
doi: 10.3389/fnins.2013.00267
Tadel, F., Baillet, S., Mosher, J. C., Pantazis, D. & Leahy, R. M. Brainstorm: a user-friendly application for MEG/EEG analysis. Comput. Intell. Neurosci. 2011, 879716 (2011).
pubmed: 21584256
pmcid: 3090754
doi: 10.1155/2011/879716
Auboiroux, V. et al. Space–time–frequency multi-sensor analysis for motor cortex localization using magnetoencephalography. Sensors 20, 2706 (2020).
pubmed: 32397472
pmcid: 7248938
doi: 10.3390/s20092706
Robinet, S. et al. A low-power 0.7 μV
doi: 10.1109/JETCAS.2011.2180835
Eliseyev, A. et al. Recursive exponentially weighted N-way partial least squares regression with recursive-validation of hyper-parameters in brain-computer interface applications. Sci. Rep. 7, 16281–16281 (2017).
pubmed: 29176638
pmcid: 5701264
doi: 10.1038/s41598-017-16579-9
Sauter-Starace, F. et al. Long-term sheep implantation of WIMAGINE®, a wireless 64-channel electrocorticogram recorder. Front. Neurosci. 13, 847 (2019).
pubmed: 31496929
pmcid: 6712079
doi: 10.3389/fnins.2019.00847
Perry, J., Garrett, M., Gronley, J. K. & Mulroy, S. J. Classification of walking handicap in the stroke population. Stroke 26, 982–989 (1995).
pubmed: 7762050
doi: 10.1161/01.STR.26.6.982
Tinetti, M. E., Franklin Williams, T. & Mayewski, R. Fall risk index for elderly patients based on number of chronic disabilities. Am. J. Med. 80, 429–434 (1986).
pubmed: 3953620
doi: 10.1016/0002-9343(86)90717-5
Ermel, J. Von Fuß bis Kopf: Ganganalyse Teil 2: Anwendung in der Praxis. physiopraxis 4, 30–34 (2006).
doi: 10.1055/s-0032-1307963