000195416 001__ 195416
000195416 005__ 20190316235823.0
000195416 0247_ $$2doi$$a10.1523/Jneurosci.1688-13.2013
000195416 022__ $$a0270-6474
000195416 02470 $$2ISI$$a000328110100028
000195416 037__ $$aARTICLE
000195416 245__ $$aA Computational Model for Epidural Electrical Stimulation of Spinal Sensorimotor Circuits
000195416 269__ $$a2013
000195416 260__ $$bSociety for Neuroscience$$c2013$$aWashington
000195416 300__ $$a15
000195416 336__ $$aJournal Articles
000195416 520__ $$aEpidural electrical stimulation (EES) of lumbosacral segments can restore a range of movements after spinal cord injury. However, the mechanisms and neural structures through which EES facilitates movement execution remain unclear. Here, we designed a computational model and performed in vivo experiments to investigate the type of fibers, neurons, and circuits recruited in response to EES. We first developed a realistic finite element computer model of rat lumbosacral segments to identify the currents generated by EES. To evaluate the impact of these currents on sensorimotor circuits, we coupled this model with an anatomically realistic axon-cable model of motoneurons, interneurons, and myelinated afferent fibers for antagonistic ankle muscles. Comparisons between computer simulations and experiments revealed the ability of the model to predict EES-evoked motor responses over multiple intensities and locations. Analysis of the recruited neural structures revealed the lack of direct influence of EES on motoneurons and interneurons. Simulations and pharmacological experiments demonstrated that EES engages spinal circuits trans-synaptically through the recruitment of myelinated afferent fibers. The model also predicted the capacity of spatially distinct EES to modulate side-specific limb movements and, to a lesser extent, extension versus flexion. These predictions were confirmed during standing and walking enabled by EES in spinal rats. These combined results provide a mechanistic framework for the design of spinal neuroprosthetic systems to improve standing and walking after neurological disorders.
000195416 6531_ $$acomputational model
000195416 6531_ $$aelectrical epidural stimulation
000195416 6531_ $$afinite element model
000195416 6531_ $$aspinal cord injury
000195416 6531_ $$aspinal cord stimulation
000195416 6531_ $$aspinal reflexes
000195416 700__ $$0246965$$g229408$$uScuola Super StAnna, BioRobot Inst, Pisa, Italy$$aCapogrosso, Marco
000195416 700__ $$0246205$$g220876$$uEcole Polytech Fed Lausanne, Int Parapleg Fdn, Chair Spinal Cord Repair, Ctr Neuroprosthet & Brain Mind Inst,Swiss Fed Ins, CH-1015 Lausanne, Switzerland$$aWenger, Nikolaus
000195416 700__ $$0246240$$g221044$$uScuola Super StAnna, BioRobot Inst, Pisa, Italy$$aRaspopovic, Stanisa
000195416 700__ $$0246287$$g226399$$uEcole Polytech Fed Lausanne, Int Parapleg Fdn, Chair Spinal Cord Repair, Ctr Neuroprosthet & Brain Mind Inst,Swiss Fed Ins, CH-1015 Lausanne, Switzerland$$aMusienko, Pavel
000195416 700__ $$uEcole Polytech Fed Lausanne, Int Parapleg Fdn, Chair Spinal Cord Repair, Ctr Neuroprosthet & Brain Mind Inst,Swiss Fed Ins, CH-1015 Lausanne, Switzerland$$aBeauparlant, Janine
000195416 700__ $$uScuola Super StAnna, BioRobot Inst, Pisa, Italy$$aLuciani, Lorenzo Bassi
000195416 700__ $$uEcole Polytech Fed Lausanne, Int Parapleg Fdn, Chair Spinal Cord Repair, Ctr Neuroprosthet & Brain Mind Inst,Swiss Fed Ins, CH-1015 Lausanne, Switzerland$$aCourtine, Gregoire$$g220184$$0245952
000195416 700__ $$aMicera, Silvestro$$uScuola Super StAnna, BioRobot Inst, Pisa, Italy$$g218366$$0246201
000195416 773__ $$j33$$tJournal Of Neuroscience$$k49$$q19326-19340
000195416 8564_ $$uhttps://infoscience.epfl.ch/record/195416/files/Pub_JNeuroscience2013.pdf$$zn/a$$s4393270$$yn/a
000195416 909C0 $$xU12556$$0252410$$pUPCOURTINE
000195416 909C0 $$0252419$$pTNE$$xU12522
000195416 909C0 $$xU12367$$0252409$$pNCCR-ROBOTICS
000195416 909C0 $$xU12599$$0252517$$pCNP
000195416 909CO $$qGLOBAL_SET$$pSV$$pSTI$$particle$$ooai:infoscience.tind.io:195416
000195416 917Z8 $$x234820
000195416 917Z8 $$x221818
000195416 937__ $$aEPFL-ARTICLE-195416
000195416 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000195416 980__ $$aARTICLE