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1.
Top Spinal Cord Inj Rehabil ; 27(1): 84-91, 2021.
Article in English | MEDLINE | ID: mdl-33814886

ABSTRACT

Spinal cord injury (SCI) substantially increases the risk of neurogenic obesity, diabetes, and metabolic syndrome. Much like in the general population, a discussion of these syndromes in SCI would be incomplete without acknowledging the association of SCI with sleep-disordered breathing (SDB). This article will outline the interplay between obesity and obstructive sleep apnea (OSA), discussing the pathophysiology of obesity in OSA both for the general population and SCI population. The role of insulin resistance in SDB and SCI will also be examined. The epidemiology and pathophysiology of OSA and central sleep apnea in SCI are discussed through an examination of current evidence, followed by a review of central sleep apnea in SCI. Principles of diagnosis and management of SDB will also be discussed. Because sleep deprivation in itself can be a risk factor for developing obesity, the significance of comorbid insomnia in SCI is explored. Ultimately, a thorough sleep history, testing, and treatment are key to improving the sleep of individuals with SCI and to potentially reducing the impact of neurogenic obesity and metabolic syndrome.


Subject(s)
Obesity/complications , Sleep Apnea Syndromes/etiology , Spinal Cord Injuries/complications , Adult , Humans , Insulin Resistance , Metabolic Syndrome/etiology , Sleep Apnea Syndromes/metabolism , Sleep Apnea Syndromes/physiopathology
2.
Clin Transl Sci ; 7(1): 52-9, 2014 Feb.
Article in English | MEDLINE | ID: mdl-24528900

ABSTRACT

Our research group recently demonstrated that a person with tetraplegia could use a brain-computer interface (BCI) to control a sophisticated anthropomorphic robotic arm with skill and speed approaching that of an able-bodied person. This multiyear study exemplifies important principles in translating research from foundational theory and animal experiments into a clinical study. We present a roadmap that may serve as an example for other areas of clinical device research as well as an update on study results. Prior to conducting a multiyear clinical trial, years of animal research preceded BCI testing in an epilepsy monitoring unit, and then in a short-term (28 days) clinical investigation. Scientists and engineers developed the necessary robotic and surgical hardware, software environment, data analysis techniques, and training paradigms. Coordination among researchers, funding institutes, and regulatory bodies ensured that the study would provide valuable scientific information in a safe environment for the study participant. Finally, clinicians from neurosurgery, anesthesiology, physiatry, psychology, and occupational therapy all worked in a multidisciplinary team along with the other researchers to conduct a multiyear BCI clinical study. This teamwork and coordination can be used as a model for others attempting to translate basic science into real-world clinical situations.


Subject(s)
Artificial Limbs , Brain-Computer Interfaces , Adult , Animals , Artificial Limbs/statistics & numerical data , Brain-Computer Interfaces/statistics & numerical data , Cooperative Behavior , Electroencephalography , Humans , Male , Models, Animal , Primates , Prosthesis Design , Quadriplegia/rehabilitation , Robotics/instrumentation , Robotics/statistics & numerical data , Software , Spinal Cord Injuries/rehabilitation , Translational Research, Biomedical , User-Computer Interface
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