CP-RehOP · Responding or not responding to training; prediction of balance rehabilitation outcome from structural and functional brain networks in Cerebral Palsy.
„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“
- Период
- 2016-03-01 → 2018-02-28
- Финансиране от ЕС
- 177 599 €
- Участници
- 2
- Схема
- MSCA-IF
Линиите свързват координатора с партньорите.
Накратко на български
Мрежите в мозъка и ефектите от тренировки с виртуална реалност се анализират при деца с церебрален парализа. Това помага да се разбере защо някои деца реагират по-добре на рехабилитацията и как да се подобрят методите за диагностика на равновесието.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Резултати накратко
Responding or not responding to training; prediction of balance rehabilitation outcome from structural and functional brain networks in Cerebral Palsy.
When an injury occurs to the developing brain, as in Cerebral Palsy (CP), these children typically experience sensorimotor disorders such as muscle weakness, and abnormal muscle activity. Poor balance control is a primary deficit in CP, which has a large impact on a child’s daily life, since it is crucial for independent mobility and greatly affects the risk of falls. CP is the most common developmental cause of physical disability in the world, with a prevalence of 2-3 in 1000 live births. To improve their quality of life, adequate treatment is essential. However, studies investigating the effectiveness of balance rehabilitation in CP have revealed mixed results. This is due to two reasons. First, due to the various clinical scales and experimental measures available, each measuring different components of balance, it is very complex to diagnose balance control in CP. Second, it is currently unknown which are the underlying neural causes of poor balance control in CP. Since the success of well-targeted treatment depends on this basic knowledge, a novel experiment was performed that provides fundamental insights in both areas. The current project, therefore, entailed a virtual reality training paradigm to train balance in children with CP. Balance is tested comprehensively in these children, before and after training, using both clinical scales as biomechanical measures. Additionally, brain imaging scans have been performed before and after training. Therefore, the objectives of the current project were; 1. Determine the best practice diagnostic tool for balance control in Cerebral Palsy. 2. Define the functional and structural brain networks involved in balance control in Cerebral Palsy. 3. Identify the underlying neural causes of responsiveness, and the prediction of individual responsiveness based on medical brain images.
Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз
Цел на проекта
When an injury occurs to the developing brain, as in Cerebral Palsy (CP), these children typically experience sensorimotor disorders such as muscle weakness, abnormal muscle activity, and ataxia. Poor balance control is a primary deficit in CP, which has a large impact on a child’s daily life, since it is crucial for independent mobility and greatly affects the risk of falls. CP is the most common developmental cause of physical disability in the world, with a prevalence of 2-3 in 1000 live births. To improve their quality of life, adequate treatment is essential. However, studies investigating the effectiveness of balance rehabilitation in CP have revealed mixed results. This is due to two reasons. First, due to the various clinical scales and experimental measures available, each measuring different components of balance, it is very complex to diagnose balance control in CP. Second, it is currently unknown which are the underlying neural causes of poor balance control in CP.Since the success of well-targeted treatment depends on this basic knowledge, a novel experiment is suggested that provides fundamental insights in both areas. I will investigate whether balance training can promote postural and gait balance control in CP children. Clinical and experimental measures will be combined to allow for the determination of the best diagnostic tool for imbalance in CP. Using diffusion kurtosis imaging and resting state functional magnetic resonance imaging, I will examine the structural and functional brain networks involved in balance control in CP and whether advances in balance control are supported by neuroplastic changes.As some children will be less responsive to training, it is hypothesized that this innovative combination of behavioral and neurological assessments allows for the identification of the underlying causes of responsiveness, and, most importantly, the prediction of individual responsiveness based on medical brain images, using machine learning.
Оригинален текст от CORDIS (на английски).
Участници
- STICHTING AMSTERDAM UMC · AmsterdamКоординаторНидерландия
- STICHTING VU · AmsterdamНидерландия
Връзки
Данни: CORDIS, © Европейски съюз