View clinical trials related to Muscular Dystrophies.
Filter by:HRV is attained using a Polar RS800CX. Then, evaluated through linear, non-linear and chaotic global techniques (CGT). Forty-five male subjects were included in the DMD group and age-matched with forty-five in the healthy Typical Development (TD) control group. They were assessed for twenty minutes at rest sitting, and then five minutes whilst performing the maze task on a computer.
The purpose of this study is to evaluate the efficacy and safety of TAS-205 in patients with Duchenne muscular dystrophy
EDG-5506 is an investigational product intended to protect and improve function of dystrophic muscle fibers. This Phase 1 study of EDG-5506 will assess the safety, tolerability, and pharmacokinetics (PK) and of EDG-5506 in adult healthy volunteers and in adults with Becker muscular dystrophy (BMD).
The objective of this study is to collect data from a large cohort of individuals with DMD and BMD focusing on the neurobehavioural aspects of these conditions and their correlation to the location of the DMD gene mutation.
This study aimed to assess the efficacy of aquatic therapy on pulmonary functions in patients with muscular dystrophy.
This project will systematically plan and evaluate the implementation of the Transdiagnostic Sleep and Circadian Intervention for youth (TranS-CY). As an early stage study, investigators will focus on recruitment strategies to reach the target population and collection of preliminary data on primary and secondary effects of the TranS-CY. Weekly remote (video web conferencing) parent training sessions will allow investigators to explore adoption through parent adherence and examine whether the essential elements of the TranS-CY intervention (e.g., motivational interviewing, goal setting, problem solving, sleep routine scheduling, monitoring) can be consistently taught by clinicians and implemented by parents into the home setting.
Pandemic period could affect the disabled children's rehabilitation and follow-up negatively because of preventive measures and this could create adverse results on their parents. In this research, it is aimed to determine the positive and negative effects of pandemic on parents and disabled children and to provide an insight for future solutions.
SEPN1 (SELENON) is a rare congenital myopathy due to mutations in the SELENON gene. MDC1A is a rare congenital muscle dystrophy due to mutations in the LAMA2 gene. Currently, not much is known about the natural history of these two muscle diseases and no (curative) treatment options exist. The investigators aim to study the natural history of SELENON- and LAMA2-related myopathy/congenital muscular dystrophy patients and prepare for future trials by selection of the most appropriate outcome measures. To this end, a standard medical history, neurological examination, functional measures, questionnaires, cardiac examination, respiratory function tests, radiological examination and accelerometry will be performed over an one and-a-half year period.
This study will follow participants who are screened and confirmed with a genetic diagnosis of Limb-girdle muscular dystrophy type 2E (LGMD2E/R4), Limb-girdle muscular dystrophy type 2D (LGMD2D/R3), Limb-girdle muscular dystrophy type 2C (LGMD2C/R5), or Limb-girdle muscular dystrophy type 2A (LGMD2A/R1). These enrolled participants will be followed to evaluate mobility and pulmonary function for up to 3 years after enrollment. Additional participant data will be collected from the time the individual began experiencing LGMD symptoms to the present.
This project adds to non-invasive BCIs for communication for adults with severe speech and physical impairments due to neurodegenerative diseases. Researchers will optimize & adapt BCI signal acquisition, signal processing, natural language processing, & clinical implementation. BCI-FIT relies on active inference and transfer learning to customize a completely adaptive intent estimation classifier to each user's multi-modality signals simultaneously. 3 specific aims are: 1. develop & evaluate methods for on-line & robust adaptation of multi-modal signal models to infer user intent; 2. develop & evaluate methods for efficient user intent inference through active querying, and 3. integrate partner & environment-supported language interaction & letter/word supplementation as input modality. The same 4 dependent variables are measured in each SA: typing speed, typing accuracy, information transfer rate (ITR), & user experience (UX) feedback. Four alternating-treatments single case experimental research designs will test hypotheses about optimizing user performance and technology performance for each aim.Tasks include copy-spelling with BCI-FIT to explore the effects of multi-modal access method configurations (SA1.3a), adaptive signal modeling (SA1.3b), & active querying (SA2.2), and story retell to examine the effects of language model enhancements. Five people with SSPI will be recruited for each study. Control participants will be recruited for experiments in SA2.2 and SA3.4. Study hypotheses are: (SA1.3a) A customized BCI-FIT configuration based on multi-modal input will improve typing accuracy on a copy-spelling task compared to the standard P300 matrix speller. (SA1.3b) Adaptive signal modeling will allow people with SSPI to typing accurately during a copy-spelling task with BCI-FIT without training a new model before each use. (SA2.2) Either of two methods of adaptive querying will improve BCI-FIT typing accuracy for users with mediocre AUC scores. (SA3.4) Language model enhancements, including a combination of partner and environmental input and word completion during typing, will improve typing performance with BCI-FIT, as measured by ITR during a story-retell task. Optimized recommendations for a multi-modal BCI for each end user will be established, based on an innovative combination of clinical expertise, user feedback, customized multi-modal sensor fusion, and reinforcement learning.