BackgroundActigraphy provides a way to objectively measure activity in human subjects. This paper describes a novel family of statistical methods that can be used to analyze this data in a more comprehensive way.MethodsA statistical method for testing differences in activity patterns measured by actigraphy across subgroups using functional data analysis is described. For illustration this method is used to statistically assess the impact of apnea-hypopnea index (apnea) and body mass index (BMI) on circadian activity patterns measured using actigraphy in 395 participants from 18 to 80 years old, referred to the Washington University Sleep Medicine Center for general sleep medicine care. Mathematical descriptions of the methods and results from their application to real data are presented.ResultsActivity patterns were recorded by an Actical device (Philips Respironics Inc.) every minute for at least seven days. Functional linear modeling was used to detect the association between circadian activity patterns and apnea and BMI. Results indicate that participants in high apnea group have statistically lower activity during the day, and that BMI in our study population does not significantly impact circadian patterns.ConclusionsCompared with analysis using summary measures (e.g., average activity over 24 hours, total sleep time), Functional Data Analysis (FDA) is a novel statistical framework that more efficiently analyzes information from actigraphy data. FDA has the potential to reposition the focus of actigraphy data from general sleep assessment to rigorous analyses of circadian activity rhythms.

Wolfram syndrome is a rare autosomal recessive genetic disease characterized by insulin dependent diabetes and vision, hearing and brain abnormalities which generally emerge in childhood. Mutations in the WFS1 gene predispose cells to endoplasmic reticulum stress-mediated apoptosis and may induce myelin degradation in neuronal cell models. However, in vivo evidence of this phenomenon in humans is lacking. White matter microstructure and regional volumes were measured using magnetic resonance imaging in children and young adults with Wolfram syndrome (n = 21) and healthy and diabetic controls (n = 50). Wolfram patients had lower fractional anisotropy and higher radial diffusivity in major white matter tracts and lower volume in the basilar (ventral) pons, cerebellar white matter and visual cortex. Correlations were found between key brain findings and overall neurological symptoms. This pattern of findings suggests that reduction in myelin is a primary neuropathological feature of Wolfram syndrome. Endoplasmic reticulum stress-related dysfunction in Wolfram syndrome may interact with the development of myelin or promote degeneration of myelin during the progression of the disease. These measures may provide objective indices of Wolfram syndrome pathophysiology that will be useful in unraveling the underlying mechanisms and in testing the impact of treatments on the brain.

Children with neurodevelopmental disorders are at increased risk for sleep issues, which affect quality of life, cognitive function, and behavior. To determine the prevalence of sleep problems in children with the common neurodevelopmental disorder, neurofibromatosis type 1, a cross-sectional study was performed on 129 affected subjects and 89 unaffected siblings, age 2-17 years, using the Sleep Disturbance Scale for Children questionnaire. Children with neurofibromatosis type 1 were significantly more likely to have disturbances in initiating and maintaining sleep, arousal, sleep-wake transition, and hyperhidrosis, but not problems with abnormal sleep breathing, or excessive somnolence. While the overall sleep scores were higher in children with neurofibromatosis type 1, this was not related to a co-existing attention deficit disorder, cognitive impairment, or stimulant medication use. Collectively, these results demonstrate that children with neurofibromatosis type 1 are more likely to have sleep disturbances, and support the use of appropriate interventions for this at-risk population.

Sleepwalking may be transmitted as an autosomal dominant trait with reduced penetrance. Here we describe the first genetic locus for sleepwalking at chromosome 20q12-q13.12.

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