Brain-Computer-Spinal Interface Restores Upper Limb Function After Spinal Cord Injury
IEEE Trans. Neural Syst. Rehabil. Eng.. 2021-01-01; 29: 1233-1242
DOI: 10.1109/tnsre.2021.3090269
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1. IEEE Trans Neural Syst Rehabil Eng. 2021;29:1233-1242. doi:
10.1109/TNSRE.2021.3090269. Epub 2021 Jul 1.
Brain-Computer-Spinal Interface Restores Upper Limb Function After Spinal Cord
Injury.
Samejima S, Khorasani A, Ranganathan V, Nakahara J, Tolley NM, Boissenin A,
Shalchyan V, Daliri MR, Smith JR, Moritz CT.
Brain-computer interfaces (BCIs) are an emerging strategy for spinal cord injury
(SCI) intervention that may be used to reanimate paralyzed limbs. This approach
requires decoding movement intention from the brain to control movement-evoking
stimulation. Common decoding methods use spike-sorting and require frequent
calibration and high computational complexity. Furthermore, most applications of
closed-loop stimulation act on peripheral nerves or muscles, resulting in rapid
muscle fatigue. Here we show that a local field potential-based BCI can control
spinal stimulation and improve forelimb function in rats with cervical SCI. We
decoded forelimb movement via multi-channel local field potentials in the
sensorimotor cortex using a canonical correlation analysis algorithm. We then
used this decoded signal to trigger epidural spinal stimulation and restore
forelimb movement. Finally, we implemented this closed-loop algorithm in a
miniaturized onboard computing platform. This Brain-Computer-Spinal Interface
(BCSI) utilized recording and stimulation approaches already used in separate
human applications. Our goal was to demonstrate a potential neuroprosthetic
intervention to improve function after upper extremity paralysis.
DOI: 10.1109/TNSRE.2021.3090269
PMID: 34138712 [Indexed for MEDLINE]