Fatigue in Cerebral Palsy: An EEG- and FDG-PET-based Study of Brain Activity and Its Correlation With Fatigue.
试验速览
- 阶段
- 不适用
- 状态
- 进行中(未招募)
- 入组人数
- 50
- 试验地点
- 1
- 主要终点
- EEG band power
研究概览
简要总结
Persons with cerebral palsy (CP) commonly suffer from fatigue. Fatigue is an important cause of their reduced participation in work or social life. Traditionally, CP-related fatigue has been viewed as related to the person's motor impairment. This view causes habilitation efforts to focus on muscle function. We hypothesize that the feeling of being fatigued must involve the activity of a specific, but un-identified, brain network that represents this particular sensation.
We will use electroencephalography (EEG) and 18F-2-fluoro-2-deoxyglucose positron emission tomography (FDG-PET) in CP patients with fatigue of different degrees to identify difference in brain activity that can highlight the presumed 'fatigue network' in the brain. In this work, we build on experience from another study on fatigue in people that have had a brain abscess (see: Cognitive function and fatigue after brain abscess, NCT#: NCT04938362)
Clarification of whether fatigue in CP has a muscular or cerebral cause will hopefully inform and improve habilitation efforts for this group, and it may single out fatigue as a separate treatment target.
详细描述
1.1. Cerebral palsy: epidemiology and symptomatology
Cerebral palsy (CP) is a neurodevelopmental disorder with a prevalence of 0.2-0.5% (Oskoui et al., 2013; McGuire et al., 2019; McIntyre et al., 2022). In most cases, the condition is apparent from early life and affects motor activity. Three phenotypes of CP are recognized according to motor disability:
spastic CP, dyskinetic CP, and atactic CP (Bekteshi et al., 2023). These variants are considered to arise from pathology affecting the corticofugal tracts, the basal ganglia, and the cerebellum, respectively.
CP is classified into 5 categories, depending on the severity of motor dysfunction (Piscitelli et al., 2021). The Gross Motor Function Classification System (GMFCS) level I means that the patient can move, walk stairs, and run and jump without any form of aid. GMFCS level II means that the patient moves with some difficulty, cannot run or jump, and need to hold a rail when walking stairs. GMFCS level III means that the patient needs a hand-held aid (stick, crutches) and needs a wheelchair for longer distances GMFCS level IV means that the patient has limited ability to move autonomously and uses a wheelchair. GMFCS level V means that the patient usually uses a wheelchair. CP has, in most cases in which a cause can be identified, a genetic background, often a de novo mutation, whereas a perinatal condition (birth asphyxia, neonatal brain infection) is a minor cause of CP (Gonzalez-Mantilla et al., 2023; Janzing et al., 2024).
1.2 Comorbidities in CP: fatigue, pain, intellectual disability, and epilepsy Fatigue is common among CP patients, affecting approximately 40% (Jacobson et al., 2020). Fatigue in CP is commonly interpreted as muscle fatigue related to the motor impairment of CP (Brunton and Rice, 2012; Puce et al., 2021). There is a growing understanding that mental fatigue is an important aspect of CP (Puce et al., 2021); however, a recent review found no valid instrument for measuring mental fatigue in CP (Dutia et al., 2024), pointing to an important obstacle in fatigue research in CP.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Cerebral palsy -
排除标准
- •Inability to perform EEG or FDG-PET.
结局指标
主要结局
EEG band power
时间窗: From enrollment to performance of EEG at 12 weeks
We will analyze EEG with respect to band power within alpha, theta, and delta frequencies. We will compare EEG results from those with mild (or absent) fatigue (a 'caseness' value of 6 or less according to Chalder's fatigue questionnaire) to those with more severe fatigue (a 'caseness' value \> 6). We will compare EEG results from those with left-sided CP to those with right-sided CP and include those with symmetric CP (diplegic or tetraplegic CP) as reference.
EEG band power in alpha, theta, and delta frequencies
时间窗: From enrollment to the performance of FDG-PET: 3 months
FDG-PET will be analyzed with respect to regional brain activity as can be inferred from the FDG-PET signal intensity. We will compare FDG-PET results from those with mild/absent fatigue to those with more severe fatigue. We will compare FDG-PET results from those with right-sided hemiplegia to those with left-sided hemiplegia and to those with di-/tetraplegia.
次要结局
未报告次要终点
研究者
Bjørnar Hassel
Professor
University of Oslo
