14 research outputs found

    Longitudinal Change in Common Impairments in Children with Cerebral Palsy from age 1.5 to 11 years

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    Purpose: This project aimed to determine if change occurs over time for impairments of balance, range of motion (ROM), endurance, and strength of children with cerebral palsy (CP), by Gross Motor Function Classification System (GMFCS) levels. Methods: Measurements were completed in 77 children at two sessions (T1, T2) on average 5.8 years apart. Mean ages were 2.9 years (SD .9) and 8.7 years (SD 1.1) at T1 and T2, respectively. Results: Significant differences were noted from T1 to T2 for some children (GMFCS levels I, II, and III/IV: balance increased, GMFCS levels I and II: strength increased, and GMFCS levels III/IV and V: ROM decreased). Endurance scores were not different. Endurance scores did not change. Conclusions: Longitudinal changes in most impairments occurred in children with CP. Monitoring and targeted interventions should support each child’s development

    Developmental Trajectories and Reference Percentiles for Range of Motion, Endurance, and Muscle Strength of Children With Cerebral Palsy.

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    BACKGROUND: Children with cerebral palsy (CP) frequently present with secondary impairments in spinal alignment and extremity range of motion, endurance for activity, and muscle strength. Creation of developmental trajectories for these impairments will help guide clinical decision-making. OBJECTIVE: For children in each level of the Gross Motor Function Classification System (GMFCS) this study aimed to: (1) create longitudinal developmental trajectories for range of motion (Spinal Alignment and Range of Motion Measures [SAROMM]), endurance (Early Activity Scale for Endurance [EASE]), and functional strength (Functional Strength Assessment [FSA]); and (2) develop age-specific reference percentiles and amount of change typical over 1 year for these outcomes. DESIGN: This study used a longitudinal cohort design. METHODS: Participants comprised 708 children with CP across GMFCS levels, aged 18 months up to the 12th birthday, and their families. In 2 to 5 assessments every 6 months over 2 years, trained therapists performed the SAROMM and FSA, and parents completed the EASE questionnaire. For children in each GMFCS level, longitudinal trajectories using linear and nonlinear mixed-effects models from all visits, and reference percentiles using quantile regression from the first, 12-month, and 24-month visits were created for each measure. RESULTS: Longitudinal trajectories and percentile graphs for SAROMM, FSA, and EASE were primarily linear, with different performance scores among GMFCS levels. There was much variability in both longitudinal trajectories and percentiles within GMFCS levels. LIMITATIONS: Limitations included a convenience sample and varying numbers of participants assessed at each visit. CONCLUSIONS: The longitudinal trajectories and percentile graphs have application for monitoring how children with CP are performing and changing over time compared with other children with CP. The resources presented allow therapists and families to collaboratively make decisions about intervention activities targeted to children\u27s unique needs

    The genetic architecture of the human cerebral cortex

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    The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder
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