English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/209894
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE
Exportar a otros formatos:


Decoding neural activity to predict rat locomotion using intracortical and epidural arrays

AuthorsBarroso, Filipe O.; Yoder, B.; Tentler, D.; Wallner, J.; Kinkhabwala, A.; Jantz, M. K.; Flint, R. D.; Tostado, P.; Pei, E.; Satish, A.; Brodnick, S.; Suminski, A.; Williams, J.; Miller, L.E.; Tresch, M. C.
Issue Date2019
PublisherIOP Publishing
CitationJournal of Neural Engineering 16: 1 (2019)
AbstractObjective. Recovery of voluntary gait after spinal cord injury (SCI) requires the restoration of effective motor cortical commands, either by means of a mechanical connection to the limbs, or by restored functional connections to muscles. The latter approach might use functional electrical stimulation (FES), driven by cortical activity, to restore voluntary movements. Moreover, there is evidence that this peripheral stimulation, synchronized with patients' voluntary effort, can strengthen descending projections and recovery. As a step towards establishing such a cortically-controlled FES system for restoring function after SCI, we evaluate here the type and quantity of neural information needed to drive such a brain machine interface (BMI) in rats. We compared the accuracy of the predictions of hindlimb electromyograms (EMG) and kinematics using neural data from an intracortical array and a less-invasive epidural array. Approach. Seven rats were trained to walk on a treadmill with a stable pattern. One group of rats (n¿¿=¿¿4) was implanted with intracortical arrays spanning the hindlimb sensorimotor cortex and EMG electrodes in the contralateral hindlimb. Another group (n¿¿=¿¿3) was implanted with epidural arrays implanted on the dura overlying hindlimb sensorimotor cortex. EMG, kinematics and neural data were simultaneously recorded during locomotion. EMGs and kinematics were decoded using linear and nonlinear methods from multiunit activity and field potentials. Main results. Predictions of both kinematics and EMGs were effective when using either multiunit spiking or local field potentials (LFPs) recorded from intracortical arrays. Surprisingly, the signals from epidural arrays were essentially uninformative. Results from somatosensory evoked potentials (SSEPs) confirmed that these arrays recorded neural activity, corroborating our finding that this type of array is unlikely to provide useful information to guide an FES-BMI for rat walking. Significance. We believe that the accuracy of our decoders in predicting EMGs from multiunit spiking activity is sufficient to drive an FES-BMI. Our future goal is to use this rat model to evaluate the potential for cortically-controlled FES to be used to restore locomotion after SCI, as well as its further potential as a rehabilitative technology for improving general motor function.
Publisher version (URL)http://dx.doi.org/10.1088/1741-2552/ab0698
Identifiersdoi: 10.1088/1741-2552/ab0698
issn: 1741-2552
Appears in Collections:(IC) Artículos
Files in This Item:
File Description SizeFormat 
accesoRestringido.pdf15,38 kBAdobe PDFThumbnail
Show full item record
Review this work

Related articles:

WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.