Multiple Sclerosis Clinical Trials in Austin, TX

The purpose of this study is to evaluate safety, effiectiveness, and to gain insight into the treatment experience of participants prescribed BRIUMVI® (ublituximab-xiiy) in the real-world setting Read Less

Injuries affecting the central nervous system may disrupt the cortical pathways to muscles causing loss of motor control. Nevertheless, the brain still exhibits sensorimotor rhythms (SMRs) during movement intents or motor imagery (MI), which is the mental rehearsal of the kinesthetics of a movement without actually performing it. Brain-computer interfaces (BCIs) can decode SMRs to control assistive devices and promote functional recovery. Despite rapid advancements in non-invasive BCI systems based on EEG, two persistent challenges remain: First, the instability of SMR patterns due to the non-stationarity of neural signals, which may significantly degrade BCI performance over days and hamper the effectiveness of BCI-based rehabilitation. Second, differentiating MI patterns corresponding to fine hand movements of the same limb is still difficult due to the low spatial resolution of EEG. To address the first challenge, subjects usually learn to elicit reliable SMR and improve BCI control through longitudinal training, so a fundamental question is how to accelerate subject training building upon the SMR neurophysiology. In this study, the investigators hypothesize that conditioning the brain with transcutaneous electrical spinal stimulation, which reportedly induces cortical inhibition, would constrain the neural dynamics and promote focal and strong SMR modulations in subsequent MI-based BCI training sessions - leading to accelerated BCI training. To address the second challenge, the investigators hypothesize that neuromuscular electrical stimulation (NMES) applied contingent to the voluntary activation of the primary motor cortex through MI can help differentiate patterns of activity associated with different hand movements of the same limb by consistently recruiting the separate neural pathways associated with each of the movements within a closed-loop BCI setup. The investigators study the neuroplastic changes associated with training with the two stimulation modalities. Read Less

The study aims to evaluate MSCopilot® Detect, a smartphone application for at-home monitoring of patients with Multiple Sclerosis (MS). The primary objective is to enhance and standardize remote monitoring of MS patients to accurately assess disease progression caused by either Relapse Activity Worsening (RAW) or Progression Independent of Relapses (PIRA). The study also aims to assess the safety, usability, and satisfaction of the solution. A secondary objective is to determine MSCopilot® Detect's ability to provide early detection of disease changes and predict changes in Expanded Disability Status Scale (EDSS) scores in more patients. Exploratory objectives include evaluating the relationship between MSCopilot® Detect composite and individual scores and other biomarkers such as MRI, soluble glial fibrillary acidic protein (sGFAP), and soluble neurofilament light chain (sNfL). Patients will be able to download the free MSCopilot® Detect app. They will participate in 1 inclusion visit and 3 follow-up visits, scheduled at 6 months, 12 months, and 18 months (an additional visit at 24 months may be scheduled if necessary). Every 3 months, patients will complete validated questionnaires regarding MS symptoms and quality of life and participate in digital tests designed to monitor MS symptom progression. The study will include 314 MS patients and will be conducted in the United States, Canada, Germany, Italy, Spain, Denmark and France Read Less