Medical Biotechnology Commons^™

Management Targeted Genetic Evaluation Of An Idiopathic Neuropathy Cohort Through Attrv Amyloidosis Screening, Kristy A. Fisher, Santiago Diaz, Jeffrey Gelblum, Charles Brock, Niraja Suresh, Meghan Towne

HCA Healthcare Journal of Medicine

Background

While the reported prevalence of polyneuropathies is 1%-3%, the incidence of hereditary transthyretin amyloidosis in the United States is estimated to be 1 in 100 000 individuals. Polyneuropathies are known to be difficult to treat and lead to significant morbidity. The aim of pain management is symptomatic treatment, with varying approaches to progression prevention being based on the causative pathophysiology.

We assessed the prevalence of hereditary amyloid transthyretin variant (ATTRv) amyloidosis, a progressive autosomal dominant multisystem disease caused by the abnormal formation and extracellular deposition of transthyretin protein fibrils in various tissues, in an idiopathic polyneuropathy population by using …

What Internal Variables Affect Sensorimotor Rhythm Brain-Computer Interface (Smr-Bci) Performance?, Alex J. Horowitz, Christoph Guger, Milena Korostenskaja

HCA Healthcare Journal of Medicine

In this review article, we aimed to create a summary of the effects of internal variables on the performance of sensorimotor rhythm-based brain computer interfaces (SMR-BCIs). SMR-BCIs can be potentially used for interfacing between the brain and devices, bypassing usual central nervous system output, such as muscle activity. The careful consideration of internal factors, affecting SMR-BCI performance, can maximize BCI application in both healthy and disabled people. Internal variables may be generalized as descriptors of the processes mainly dependent on the BCI user and/or originating within the user. The current review aimed to critically evaluate and summarize the currently accumulated …

What External Variables Affect Sensorimotor Rhythm Brain-Computer Interface (Smr-Bci) Performance?, Alex J. Horowitz, Christoph Guger, Milena Korostenskaja

HCA Healthcare Journal of Medicine

Sensorimotor rhythm-based brain-computer interfaces (SMR-BCIs) are used for the acquisition and translation of motor imagery-related brain signals into machine control commands, bypassing the usual central nervous system output. The selection of optimal external variable configuration can maximize SMR-BCI performance in both healthy and disabled people. This performance is especially important now when the BCI is targeted for everyday use in the environment beyond strictly regulated laboratory settings. In this review article, we summarize and critically evaluate the current body of knowledge pertaining to the effect of the external variables on SMR-BCI performance. When assessing the relationship between SMR-BCI performance and …