NDLI: Towards a miniaturized brain-machine-spinal cord interface (BMSI) for restoration of function after spinal cord injury

Content Provider	IEEE Xplore Digital Library
Author	Shahdoost, S. Frost, S. Van Acker, G. DeJong, S. Dunham, C. Barbay, S. Nudo, R. Mohseni, P.
Copyright Year	2014
Description	Author affiliation: Phys. Therapy & Rehabilitation Sci. Dept., Univ. of Kansas, Kansas City, KS, USA (DeJong, S.) \|\| Electr. Eng. & Comput. Sci. Dept., Case Western Reserve Univ., Cleveland, OH, USA (Shahdoost, S.; Mohseni, P.) \|\| Mol. & Integrative Physiol. Dept., Univ. of Kansas, Kansas City, KS, USA (Frost, S.; Van Acker, G.; Dunham, C.; Barbay, S.; Nudo, R.)
Abstract	Nearly 6 million people in the United States are currently living with paralysis in which 23% of the cases are related to spinal cord injury (SCI). Miniaturized closed-loop neural interfaces have the potential for restoring function and mobility lost to debilitating neural injuries such as SCI by leveraging recent advancements in bioelectronics and a better understanding of the processes that underlie functional and anatomical reorganization in an injured nervous system. This paper describes our current progress towards developing a miniaturized brain-machine-spinal cord interface (BMSI) that is envisioned to convert in real time the neural command signals recorded from the brain to electrical stimuli delivered to the spinal cord below the injury level. Specifically, the paper reports on a corticospinal interface integrated circuit (IC) as a core building block for such a BMSI that is capable of low-noise recording of extracellular neural spikes from the cerebral cortex as well as muscle activation using intraspinal microstimulation (ISMS) in a rat with contusion injury to the thoracic spinal cord. The paper further presents results from a neurobiological study conducted in both normal and SCI rats to investigate the effect of various ISMS parameters on movement thresholds in the rat hindlimb. Coupled with proper signal-processing algorithms in the future for the transformation between the cortically recorded data and ISMS parameters, such a BMSI has the potential to facilitate functional recovery after an SCI by re-establishing corticospinal communication channels lost due to the injury.
Sponsorship	IEEE Eng. Med. Biol. Soc.
Starting Page	486
Ending Page	489
File Size	1948226
Page Count	4
File Format	PDF
ISBN	9781424479290
ISSN	1557170X
DOI	10.1109/EMBC.2014.6943634
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Integrated circuits Injuries Muscles Rats Spinal cord injury In vivo
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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