View clinical trials related to Cerebral Palsy.
Filter by:This study aimed to evaluate the therapeutic potential of human amniotic epithelial cell (hAEC) transplant in the management of children with spastic cerebral palsy.
This is a prospective interventional study involving young children who will all receive non-invasive, passive assessments of sensory and motor function. In addition a subpopulation of young children with cerebral palsy will participate in a randomized controlled trial of constraint-induced movement therapy, a routinely prescribed therapy used in clinical practice for children with motor difficulties. The study attempts to apply a rigorous scientific approach to study a widely used but poorly studied practice. The design is an RCT with wait-list controls to allow all children to benefit from the therapy, even if they are randomized to the control group. All children, regardless of group allocation will continue with their standard of care occupational and physical therapy throughout the study.
The purpose of this study is to determine whether dexmedetomidine is effective in the treatment of emergence deliruim after sevoflurane anesthesia in children with cerebral palsy.
The combination of the constraint-induced movement therapy (CIMT) method as a complement to hand arm bimanual training (HABIT) will improve the frequency and quality of cooperative hand use and function in children with hemiplegic CP.
There is increasing evidence that physical activity during childhood and adolescence has an important impact on health and behavior outcomes. Lack of physical activity is currently a major concern for the total population and especially for children and adolescents. People with disabilities are at risk for the same health problems as the general population. Due to their disabilities, they have a higher risk for developing secondary conditions that may further affect their health and quality of life.The goals of this project are to develop and evaluate new approaches of treatment for children with cerebral palsy (CP) and to develop low cost tests for evaluating motor functions in natural environments. The overall aim is to raise awareness of, and promote, a physically active lifestyle for Middle East teenagers with disabilities due to CP by means of a collaborative Jordanian-Israeli-Palestinian-Moroccan applied research project. Specific objectives include: 1. Evaluation of baseline levels of physical activity in large populations of children and teenagers with CP in the communities of the participating countries by long-term monitoring by accelerometers. 2. Conducting a randomized clinical trial to compare the efficacy of an "experimental" physical training program with a treadmill training program in two groups. The experimental training program is based on results of recent motor control studies, as well as the "motor learning" approach to facilitate transfer and retention of learned walking activities. 3. Disability Advocacy through dissemination of activity focus programs, raising awareness, making use of new technologies and enhancing and developing the skills and training of personnel working with populations with CP. 4. Continuing the expansion of collaborative research efforts pertaining to children and teenagers with physical disabilities between Arab countries and Israel through sharing of skills and knowledge by exchange visits, meetings and seminars and joint training, pediatric physiotherapists and physical educators.
The objective of this study is to use high-frequency brain signals (HFBS) to localize functional brain areas and to characterize HFBS epilepsy, migraine and other brain disorders. We hope to build the world's first high-frequency MEG/MEG/ECoG/SEEG database for the developing brain. HFBS include high-gamma activation/oscillations, high-frequency oscillations (HFOs), ripples, fast ripples, and very high frequency oscillations (VHFOs) in the brain. To reach the goals, we have developed several new MEG/EEG methods: (1) accumulated spectrogram; (2) accumulated source imaging; (3)frequency encoded source imaging; (4) multi-frequency analysis; (5)artificial intelligence detection of HFOs; (6) Neural network analysis (Graph Theory); and (7) others (e.g. ICA, virtual sensors).